People love gaming which has made it an industry where many technological advancements are happening to appease players. This creates a high demand among people, hence the growth of this industry is quite massive. For example, in 2024, the gaming industry generated close to US$455 billion. We have also seen how Google has announced that it is working on a "Deep Mind" team to completely transform the gaming industry by improving the user experience through the latest Artificial Intelligence (AI) and physical simulation technology. Users are intrigued by this step of simulating real-world mechanics in the game and the outcome it will reflect on the future of entertainment and gaming.In the following article, we will discuss how DeepMind has trained an Artificial Intelligence model to work in real-world games along with the effects of physical mechanics and simulations on the overall experience of traditional and modern gamers.Can Online Gambling Evolve In That Realm of Innovation?Online casino games are becoming famous among gamers because of the latest artificial intelligence technology and real-world experiences. The gaming industry has changed completely with the increase in the number of players gambling online on digitally advanced platforms.These platforms have used sophisticated technologies, including machine learning, artificial intelligence, and real-world experiences to give a traditional feel to casino games. You can enjoy a realistic experience of interactions with dealers and sound effects within the game due to real-life simulations. Your engagement with the game also increased due to the adjustment of difficulty and mechanics according to your skill set and way of playing.As platforms continue to adopt groundbreaking advancements, such as AI simulations of the physical world, the future of online gambling looks increasingly dynamic and personalized. However, it's still difficult to estimate the possible impact of technologies simulating the real world. One thing is certain - the gambling industry will be one of the early adopters to push the limits of digital gaming.AI & Simulating the Real World in GamingArtificial Intelligence is one of the fastest-growing advancements in technology, especially after the advent of generative AI, with its market amounting to around 200 billion U.S. dollars in 2023. It also serves as a core model for Google DeepMind to offer you real-world simulations in your gameplays. The AI used to enhance your gameplay is trained through the original clips of the game to create accurate frames for you in real-time.This system makes the gameplay more engaging and realistic for you by predicting your moves and optimizing the mechanics of the game and the behaviors of non-playable characters (NPCs) accordingly. Artificial Intelligence (AI) also makes your gameplay more dynamic and responsive by quickly processing large amounts of data about your gaming style and game mechanics.Redefining Immersion With Advanced Physics EnginesImproving the physical engines plays a very important role in giving you a realistic experience in your gameplay by giving accurate interactions with objects, a visually appealing environment, and real-like character movements. Google DeepMind has improved these physical engines by combining Artificial Intelligence and simulation technology. This combination of technologies gives you smoothness in complex physical interactions between objects within your game.DeepMind's model also replicated gravitational forces and collision effects from real life into the game's mechanism. This gives a simulation of the real world of an object's behaviors in the environment, so you can experience next-level accuracy.Why Google DeepMind Is Simulating Real-World in Gaming?The main reason behind this process of simulating real-world mechanics in our gaming experiences is the development of Artificial general intelligence (AGI). DeepMind is building a gaming environment where the evolution of elements, objects, and environment within the game depends upon your choices and actions.This process also allows generalized AI to improve itself with the help of reinforcement learning models. For example in gaming, AI will manipulate the behaviors of animals, characters, NPC personalities, and the entire ecosystem according to your actions during gameplay. This will improve the ability of this system to perform different types of tasks in numerous niches and decision-making while giving you a personalized and rich gaming experience.Google DeepMind is also working on making AI capable of not just improving your in-game interactions, but also changing the game's map on its own, known as AI-driven game design. This will give you unique challenges while offering an endless experience due to its ability to grow depending upon how you interact with challenges.ConclusionThe future for gamers is really exciting as the gap between the real world and the digital world will be reduced during this project. Google DeepMind's efforts in simulating the world welcome a new era in the gaming industry. The practical benefits of this project are vast ranging from offering you a real-like experience in games to improvement of Artificial general intelligence.This project helps you experience dynamic and responsive experience while playing games with the help of Artificial Intelligence and advanced physical engines. Simulation of the world also transforms online gambling by giving you engaging and similar experiences to traditional casinos.
The Secure Access Service Edge (SASE) paradigm revolutionizes networking and security. SASE converges wide-area networking (WAN) and network security services into a single, cloud-delivered solution to securely and efficiently provide access to users, devices, and applications.Though sase is simple, there's still some work to do. Adoption can often be stymied through roadblocks that prevent fully enjoying its benefits. In this article, we explore these challenges and present actionable solutions to overcome them.Understanding SASENow that we know what we are diving into, let's understand what SASE is. SASE is a cloud-native architecture that bundles several networking and security capabilities from the likes of SD-WAN, Secure web gateway (SWG), cloud access security brokers (CASB), and zero-trust network access (ZTNA), to name a few.It protects networks while facilitating easy remote access to remote workers and distributed branches. For information on sase and its components, see this in-depth guide on SASE.Top SASE Challenges1. Unclear about what the requirements and goals are.When adopting SASE, many organizations have a tough time defining their exact goals. Without established objectives it becomes hard to discern how does SASE relate to the organization's current infrastructure and security strategy.Solution:Start your attack on your current network and security posture. Find pain points — is your remote access lackluster or do you have gaps in security? Define clear goals like better remote access, better threat detection, or reduced number of tools by bringing too many tools into one platform. Work with important stakeholders to align SASE adoption with business objectives.2. Integrating Legacy Systems is a Problem of Complexity.Many organizations run legacy infrastructure and use processes that were not designed to integrate with more modern technological SASE solutions. Such an incompatibility can cause delays and cost more when implementing.Solution:Migrate in a phased approach. Begin by including key areas of SASE, e.g., SD-WAN or ZTNA and not interrupt current systems. Choose a SASE vendor that can deploy in a way that fits your needs, and will work with your existing systems instead of forcing you to tear everything down and start fresh.3. Lack of Internal ExpertiseTo implement SASE, you must know both networking and security very well. Unfortunately, most IT teams do not have the required proficiency in specialized knowledge to design and roll out the full SASE framework.Solution:Ensure that your IT staff is given the attention and training to become upskilled on SASE technologies and best practices. You can alternatively partner with a managed service provider (MSP) or SASE vendor that provides end–to–end deployment support. It makes for a smoother transition, as it removes the pace of strategic decisions from your team.4. Resistance to ChangeWhile stakeholders are expecting legacy system behavior, shifting to a cloud-native SASE architecture often faces resistance. But this resistance tends to slow down the adoption process.Solution:Stakeholders engage them early in the decision-making. Draw out the constraints of current systems and accentuate the long-term benefits of SASE like cost savings, better performance and better security. Communicate clearly and train easily.5. Managing CostsAlthough SASE can lower your operational expenses in the long run, it's an upfront cost that can initially be a major hurdle for many businesses since it requires new hardware, software, and employee training.Solution:You should first develop a clear budget and ROI analysis prior to your SASE journey. A number of vendors' pricing models support this with scalable pricing — you could, for example, incrementally start adopting SASE. Select a solution that fits your budget but should be able to meet your requirements.6. Consistent Performance Across LocationsSASE implementation causes organizations with distributed teams and global operations to have inconsistent network performance.Solution:Choose a SASE provider with a rich Points of Presence (PoPs) global network. Thus, it's low-latency connections with a predictable performance, regardless of the user's location. And use SD-WAN's intelligent traffic routing to optimize performance.7. Adapting to Evolving Threat LandscapesBeing able to protect your organization from new threats is especially difficult because cybersecurity threats are also dynamic.Solution:Go with a SASE vendor that leverages advanced threat intelligence and regularly refreshed security capabilities. Seek out solutions that use machine learning and automation to proactively detect and respond to threats.Facing Implementation ChallengesSASE has to be done right. The implementation of SASE needs careful planning, collaboration, and the right vendor partnership to be done successfully. The hurdles of SASE are common, and with the right strategy and an open mind, organizations can realize the full power of SASE while securing, simplifying, and growing a modern network for their organization.Yet, as organizations adopt digital transformation, SASE emerges as an important enabler for securing and making use of efficient connectivity. If prepared adequately and with the right resources, you can overcome these challenges and set your organization up for success in the ever-evolving digital landscape.
MetAI, a Taiwanese startup pioneering the integration of industrial AI and 3D simulation technologies, today announced the successful close of a $4 million seed funding round. Investors include Addin Ventures, Kenmec Mechanical Engineering (6125.TWO), NVIDIA, Solomon Technology (2359.TW), SparkLabs Taiwan, and Upstream Ventures. This milestone underscores MetAI's pivotal role in advancing physical AI and bridging the gap between simulation and reality through cutting-edge technologies.The funding will accelerate MetAI's research and development efforts, scale its engineering team, and expand operations into the US market with a focus on semiconductor manufacturing, automated warehousing, and robotics applications.Revolutionizing physical AI and world models with scalable digital twinsThe next wave of AI, often described as the revolution of physical AI or generative physical AI, relies heavily on physically accurate simulated environments where robots, autonomous systems, and operational AI can be trained and validated before deployment. The transition to physical AI—and the development of comprehensive world models—has been hindered by the complex and time-consuming process of creating realistic, functional digital twins.MetAI addresses this challenge with its proprietary generative model, a cutting-edge technology that enables the instantaneous generation of "SimReady (Simulation-Ready)" digital twins. By converting CAD files into operational 3D environments within minutes, MetAI's technology allows businesses to deploy precise, scalable, and fully functional simulations instantly.Developing physically accurate digital twins is seen as a barrier to entry for those looking to develop physical AI at scale," said Daniel Yu, CEO and Co-founder of MetAI. "We're changing that narrative by enabling businesses to instantly train AI systems—whether for robotics, logistics, or manufacturing—in physics-based virtual environments with unprecedented efficiency and scalability."Driving real industry impact: collaboration with KenmecMetAI partnered with Kenmec Mechanical Engineering in 2023 to revolutionize the creation of automated warehouse digital twins. MetAI's technology reduced the time needed for warehouse digital twin simulations from thousands of hours to just 3 minutes, dramatically saving operational and verification efforts. The generated digital twins operate with real-world fidelity, effectively establishing a warehouse world simulator—a dynamic virtual environment that mirrors real-world operations, enabling immediate throughput validation, optimization, and potential integration with AI agents to explore the world in simulations.Credit: MetAIThis collaboration demonstrated such significant value that Kenmec became a major investor in MetAI during this funding round."MetAI is changing the automated industry with its digital twin and simulation technologies," says Jonas Ko, President of Kenmec. "With their advanced technology combined with Kenmec's leading automated solutions, we aim to work together to deliver the most optimal and efficient outcomes for end customers, accelerating the adoption and implementation of automation with unprecedented precision and speed, empowered by AI advancements."Building on this success, MetAI has initiated collaborations with major manufacturing giants, including semiconductor fabs, aiming to apply the same methodology to create operational digital twins for fabs, further accelerating industry-wide efficiency.From real-to-sim to sim-to-realMetAI's technology goes beyond digital twin creation to provide tools for physical AI training, validation, and the generation of precise world models. By integrating scalable digital twins with reinforcement learning, MetAI enables robots and AI agents to learn, adapt, and optimize performance within simulated environments that replicate real-world complexities before real-world deployment.Key benefits include:Scalability: Organizations can rapidly generate environments for multiple scenarios or facilities, enabling faster prototyping and validation, and reducing simulation setup time from months to minutes.World Models for Industrial Use: With digital twins that highly resemble the real world, MetAI enables the creation of world simulators—dynamic, physics-based virtual representations of physical environments—supporting comprehensive AI testing and optimization. Precision Training: Robots and autonomous systems can be trained in physically accurate environments, minimizing real-world testing time, risks, and costs. Iterative Optimization: AI systems can refine their strategies continuously, leveraging reinforcement learning to adapt to changing needs.Driving value for the semiconductor and robotics industriesOne of MetAI's primary focuses is accelerating semiconductor manufacturing, an industry that faces significant challenges in labor constraints and the operational efficiency of factor designs. By simulating fab construction and production line setup with AI agents, MetAI has the potential to reduce timelines by up to a year, significantly enhancing operational efficiency.MetAI's broader applications extend to robotics and warehouses/logistics, where its ability to generate precise, dynamic environments allows for optimal training of autonomous mobile robots (AMRs), robotic arms, and other precise industrial systems. This scalability helps industries maintain competitiveness in markets that evolve so fast nowadays.Credit: MetAICredit: MetAICollaboration with NVIDIAAs a member of the NVIDIA Inception program for startups, MetAI has collaborated closely with NVIDIA to refine its applications by integrating NVIDIA Omniverse technologies, unlocking new opportunities and industrial use cases. By taking advantage of the exceptional simulation scalability of the NVIDIA Omniverse platform, MetAI aims to empower businesses with applications that possess unprecedented speed and precision to train AI systems for real-world deployment.Scaling in the US MarketBuilding on its momentum and preliminary success with industry leaders in Taiwan's manufacturing and automation sector, MetAI is set to fuel the momentum of growth and accelerate its presence in the US market. With plans to deepen its US operations in 2025, the company is committed to bringing its groundbreaking technologies to the US semiconductor and automated warehouse industries, supporting businesses to achieve new heights of operational efficiency and digital transformation.Credit: MetAICredit: MetAI
Artificial intelligence (AI) took center stage at CES 2025, bringing a key challenge for tech giants into focus: balancing high performance with power efficiency amid growing computational demands. In CES 2025, Silicon Motion Technology introduced its PCIe Gen5 SSD controller, the SM2508, specifically designed to address this need. Leading brands like ADATA Technology, BIWIN, and Lexar showcased a range of next-generation PCIe Gen5 SSD products powered by the SM2508 controller. Meanwhile, Fanxiang unveiled several storage solutions featuring the SM2320 controller, demonstrating Silicon Motion Technology's extensive expertise in storage controller innovations.CES 2025 – Striking the Perfect Balance Between High Performance and Power Efficiency in the Computational EraThe SM2508 capitalizes on TSMC's 6nm EUV process technology to slash power consumption by 50% compared to 12nm solutions. Its PCIe Gen5 implementation operates below 7 watts, delivering a 70% improvement in energy efficiency. Equipped with an advanced 8-channel architecture, the SM2508 supports capacities of up to 8TB. It is paired with a NAND flash interface speed of up to 3600MT/s, enabling sequential read/write speeds of 14.5GB/s and 13.6GB/s, respectively. The controller also delivers random read/write performance exceeding 2.5 million IOPS, representing a threefold improvement over its predecessor.At CES 2025, ADATA Technology showcased its new MARS 970 series, introducing two SSDs powered by the SM2508 controller for desktops and laptops. The MARS 970 STORM, designed for desktop computers, features an ARM Cortex R8 real-time computing architecture and an 8-channel NAND flash design. It achieves sequential read speeds of 14,000MB/s and sequential write speeds of 12,000MB/s. Combined with XPG's exclusive hybrid liquid-air cooling system, it is particularly suited for high-load applications such as AAA gaming, high-performance workstations, and AI computing. The MARS 970 BLADE, designed for laptops, breaks the limitation of large heatsinks typically required for PCIe Gen5 SSDs. It delivers sequential read speeds of 12,000MB/s and sequential write speeds of 11,000MB/s, while an innovative ultra-thin heatsink design ensures excellent cooling without increasing the laptop's thickness or weight. ADATA Technology expressed its intention to continue deepening its partnership with Silicon Motion Technology, expanding the application of PCIe Gen5 technology to develop diversified storage solutions such as USB devices and external SSDs, catering to various market demands and providing comprehensive storage products for both consumer and enterprise users.Another storage giant, BIWIN (BIWIN STORAGE TECHNOLOGY), also exhibited a range of new storage products powered by Silicon Motion Technology controllers. Among them, the flagship PCIe Gen5 SSDs X570 PRO and Predator GM9000, both utilizing the SM2508 controller, offer read speeds of 14,000MB/s and write speeds of 13,000MB/s, along with up to 4GB of DRAM cache. These features, along with smart optimization mechanisms, significantly enhance data processing and multitasking capabilities. With a high-quality 3D TLC NAND flash memory design, the random access performance reaches 2 million IOPS, meeting the stringent demands of high-end users for professional workstations and gaming computations. For portable storage solutions, BIWIN introduced the Amber PR2000 external SSD powered by the SM2320 controller. It supports USB 3.2 Gen 2x2 specifications, offering read speeds of up to 2,000MB/s and write speeds of 1,800MB/s, providing high-performance mobile storage for professionals.Lexar presented several products based on its latest collaborations with Silicon Motion Technology. Among them, the SL500 external SSD, a recipient of the 2025 CES Innovation Award, features an innovative magnetic design for direct attachment to a smartphone's back and supports 4K 120fps high-quality video recording, catering to the mobile shooting needs of content creators. Another key product is the NM1090 Pro SSD, developed for PC gamers, which is powered by the SM2508 controller built using Silicon Motion Technology's 6nm process. It offers sequential read speeds of up to 14GB/s and write speeds of 12GB/s, nearly doubling the performance of PCIe 4.0 products. Thanks to the advanced manufacturing process of the SM2508 controller, this product not only effectively manages heat dissipation during high-speed operation but also maintains stable performance and excellent energy efficiency during professional applications such as 4K/8K video editing, AI model training and high-performance graphics computing.At CES 2025, Fanxiang showcased several new products powered by Silicon Motion SM2320 controller. Silicon Motion's SM2320 portable SSD controller is equipped with both Type-C and USB-A interfaces, supporting transmission speeds of 20Gbps and 10Gbps, respectively. Despite its compact size—roughly that of a USB flash drive—it delivers outstanding performance, transferring 4GB of video in just 2 seconds, even in low-temperature environments. This makes it particularly well-suited for mobile professionals, content creators, and business users.As the AI computing era unfolds, the balance between storage device performance and power consumption becomes increasingly important. At CES 2025, leading storage companies such as ADATA Technology, BIWIN, Lexar, and Fanxiang showcased several products powered by Silicon Motion Technology controllers. Whether it's the high-speed read/write performance sought by gamers, the stable computational performance demanded by professional workstations, or the need for thin and efficient cooling in laptops, Silicon Motion Technology's solutions cater to these diverse requirements. Looking to the future, Silicon Motion Technology is committed to deepening its relationships with customers and partners, seizing opportunities in the next generation of storage technology.Lexar - NM1090 Pro SSDCredit: LexarBIWIN - X570 SSDCredit: BiwinAdata - MARS 970 STORM SSD Credit: AdataAdata - MARS 970 BLADE SSDCredit: Adata
As a DIGITIMES senior analyst covering the wearable technology sector, I've observed an interesting shift in the smart glasses market. While most manufacturers race to pack more technology into their frames, a new segment is emerging that prioritizes lifestyle integration over cutting-edge features.The current smart glasses landscape"Most AR smart glasses can be separated into two categories based on their projection systems," notes Will Greenwald in his comprehensive CES 2025 coverage. "Prism systems that bounce a projection off of a prism into your eye, and waveguide systems that use special etchings in a flat lens to guide the projection into your eye."However, this tech-first approach may be missing what everyday consumers actually want from their eyewear.The power challenge and innovationThe smart glasses industry has consistently struggled with power management. While established players like TCL's RayNeo X3 and Even Realities G1 (priced at US$599) focus on wireless capabilities and AI integration, MagicPalm's approach to battery life through magnetic swappable batteries could influence future design trends. They claim over six hours of continuous use, with the potential for extended use through battery swaps.This practical solution to one of the industry's most persistent challenges exemplifies how focusing on user experience rather than technical specifications can lead to meaningful innovation.A fresh perspective on smart eyewearWhile tech-focused companies compete on features like AR displays and AI integration, MagicPalm has entered the market with a distinctly different philosophy – focusing on everyday usability and compatibility with existing eyewear. Their approach suggests that the future of smart glasses might not lie in maximizing technical capabilities, but in seamlessly integrating with users' daily lives.Simplicity as innovationThe smart glasses industry has traditionally emphasized technological advancement, with prices ranging from $400-$600 for feature-rich devices. However, MagicPalm's focus on core functionalities – audio, battery life, and style compatibility – represents a pragmatic shift toward what consumers might actually need.Their patented integration technology, which works with 90% of global eyewear styles, addresses a simple but crucial consumer need: the ability to make their existing, preferred eyewear "smart" without compromise.Practical solutions to real challengesAs Greenwald points out in his CES coverage, different manufacturers are targeting specific use cases. While Captify glasses from Solaire Inc. focus on real-time captioning and translation, and others pursue AR capabilities, MagicPalm's approach centers on lifestyle enhancement through practical features like directional audio for private conversations and music listening.Accessibility and market impactThe smart glasses market has traditionally targeted early adopters with premium pricing. MagicPalm's announced Amazon launch price of US$150-US$200 suggests a strategic focus on mainstream adoption. This pricing, combined with their compatibility-first approach, could open up the smart glasses market to a broader audience who might have been hesitant about investing in more expensive, tech-heavy options.Looking forwardWhile Greenwald observes that "we're closer than ever to a world where I can have a mini-map and quest objectives in the corner of my vision," there's perhaps an equally important trend emerging: smart glasses that prioritize everyday practicality over futuristic features.MagicPalm appears to have created something special here – smart glasses that finally feel like they're designed for the way we actually live, not just how we imagine the future. This focus on present-day usability over futuristic promises could well be the catalyst that brings smart eyewear into mainstream adoption.As the market matures, we'll be watching several key trends:•The growing demand for lifestyle-focused wearables•Consumer preference for simplicity versus feature-rich devices•Price accessibility and market adoption rates•Integration with existing eyewear ecosystems
The accelerating global digital transformation has positioned storage devices as no longer merely tools for data storage but as critical cornerstones for facilitating information security, promoting computational efficiency, and shoring up business innovation. In response to the industry trends, BIWIN has unveiled a brand-new generation of storage solution - Mini SSD, a revolutionizing version that breaks through the volume limitations of traditional SSD. The breakout product is a masterpiece that combines all aspects of powerful performance, compact size, and high reliability, redefining new benchmarks for storage peripherals, breaking the boundaries between storage and application, and immersing users with efficient and secure data management experiences anytime, anywhere.Redefining Storage Form Factor: Balance Between Small Size and High PerformanceThe Mini SSD crystallizes BIWIN's years of technological accumulation in storage solutions and packaging and testing fields. The application of LGA (Land Grid Array) packaging technology contributes to high integration of controller and NAND flash modules, resulting in the integral dimensions of just 15mm×17mm×1.4mm which is almost equivalent to a microSD card or just half the size of a coin, yet realizing a leapfrog in performance and capacity enhancement. Its design meets both the needs of terminal devices for slim portability and provides greater design flexibility for device manufacturers.Redefining Storage Form Factor: Balance Between Small Size and High PerformancePowered by complementary slot design to enable a flexible plug-and-play experience, this innovation allows for extensive compatibility with abundant devices including laptops, tablets, smartphones, cameras, NAS, smart photo albums, and portable SSDs, effortlessly fitting massive data into your "pocket". Furthermore, the removability functionality featured by Mini SSD simplifies data transfer processes, breaks data boundaries, and enhances data sharing convenience between devices, meeting storage needs in different scenarios and becoming a capable assistant for smart living.Size Down, Performance Up Driving a Comprehensive Upgrade of Smart ExperienceMini SSD achieves excellent performance in its compact body. The product supports PCIe 4.0×2 interfaces and NVMe 1.4 protocol, and by adopting 3D TLC NAND, it achieves read speeds up to 3700MB/s and write speeds up to 3400MB/s, along with a wide range of capacity options covering 512GB~2TB, fulfilling high-efficient storage needs across various scenarios including mobile devices and edge intelligent terminals.Size Down, Performance Up Driving a Comprehensive Upgrade of Smart ExperienceWith extraordinary efficiency performance as swift as a strong gale, the Mini SSD effortlessly handles high-load scenarios, including rapid loading of large AAA games, 4K video editing, image rendering, real-time interactions, and multitasking demands. Whether for gaming enthusiasts or content creators, the Mini SSD delivers an unprecedented smooth and efficient user experience.With extraordinary efficiency performance as swift as a strong gale, the Mini SSD effortlessly handles high-load scenariosThe substantial capacity of the Mini SSD equips customers to handle multi-functional media centers and small data centers on home/enterprise NAS, and smart photo albums, providing excellent storage and performance guarantees for home audio-visual entertainment, photo album sharing management, cloud collaborative working, and remote file access applications, all of which help to ensure perfect preservation of precious moments from business exhibitions, artistic creation, and family life, making life more convenient and memories more vivid.Collaborative Hardware and Firmware: Dual Protection of Security and ReliabilityIn addition to demonstrating excellence in performance, Mini SSD from BIWIN qualifies for data security and device stability through hardware and software collaborative design. The products are equipped with top-notch integrated packaging technologies which are replete with capabilities of vibration resistance and shock resistance, as well as IP68 rating dust and water resistance. Designed to withstand outdoor drops and impacts, it's able to endure falls from a height of up to 3 meters without damage, meeting high-standard data protection in a wide range of complex and variable environments. The particular LGA packaging form creates reliable electrical and mechanical connections through direct pad-to-pin connections, engineered to power well-established vibration and shock resistance and then secure stable operation under harsh circumstances.Collaborative Hardware and Firmware: Dual Protection of Security and ReliabilityIn terms of firmware algorithm, this Mini SSD boasts technical features like dynamic SLC cache, dynamic wear leveling, Trim, GC (Garbage Collection), and advanced thermal management, ensuring continuously durable writing and secure reliable storage of data and thereby protecting data integrity and consistency.The launch of the Mini SSD, which marks an important step in BIWIN's integrated R&D and packaging and testing business model, not only crystallizes its profound insights into storage technology but also injects fresh vitality into the industry with its exceptional performance and innovative design.BIWIN has a clear sense that not only is the success of a product determined by the technology itself but also backed by collaborative cooperation with upstream and downstream partners in the industry chain. Looking ahead, BIWIN will continue to bear in mind the concepts of openness and mutual benefits to forge partnerships with terminal manufacturers and industry collaborators with the goal of promoting the marketization of Mini SSD, accelerating ecosystem development, and achieving dual empowerment of technology and business value. Taking Mini SSD as a springboard, BIWIN is readily steeling itself to explore the new frontiers in storage technologies, funding development efforts into technical research and development and diversifying the product matrix, thereby sparking valuable growth for users and partners and jointly creating unlimited possibilities for the future of storage.For More About BIWIN: https://en.biwin.com.cn/
Artificial intelligence (AI) agents have emerged as the critical application of generative AI to drive the growth of future tech. Taiwania Capital and Amazon Web Services (AWS) invited globally recognized AI expert Andrew Ng to explore the potential of AI agents and the outlook of the AI industry at the AI Agents Forum on November 5, 2024.Andrew Ng is the general partner of AI Fund, which has just announced the opening of a branch office in Taipei, with Jill Shih as its general manager.Deputy Minister Fang-guan Jan of Taiwan's National Development Council (NDC), an investor in the AI Fund, also brought good news to the forum. "Together with the Ministry of Digital Affairs, we are launching a NT$10 billion project focused on AI and digital industries." Jan said, "With the partnership of the government and the private sector, we hope to build an even stronger AI system in Taiwan."Taiwania Capital CEO David Weng said, "Generative AI is transforming many industries, and with NDC and private sector funds' commitment, combined with Taiwan's semiconductor and server manufacturing prowess with the emerging software, especially the Agentic AI application, we can put Taiwan in the center of so many innovative solutions."In his keynote speech, Ng discussed the layers of the AI ecosystem, ranging from semiconductors and cloud infrastructure to foundational models and applications. He underscored that the application layer holds the greatest opportunity for Taiwanese companies, particularly in developing robust application solutions. "Taiwan has strong global visibility thanks to its leadership in semiconductors and ICT manufacturing. However, focusing on AI applications can unlock even more revenue and value to support underlying technology layers."Ng also introduced a new "Agentic Orchestration Layer" in the AI ecosystem, which exists between the application layer and foundational models in which OpenAI, Anthropic, and Meta operate their large language models (LLMs). This layer represents companies like LangChain and CrewAI, which facilitate multi-agent cooperation by enabling different AI agents with specialized functions to work together seamlessly.Ng emphasized that AI would accelerate corporate innovation processes, and some industries will benefit a lot from AI-agent-assisted exploration. He mentioned when AI agents of AlphaGo started to explore the game of Go ten years ago, it started very quickly beating all the human champions. "We're going to use agents to break things fast and learn," said Ng. "If your industries are built on heuristics and not on exhaustive explorations in the past, then chances are that you need to watch encroaching on your territory."He shared insights on five trends leading to the future of AI:Trend 1: Increasing demand for AI computing power highlights the importance of faster and cheaper tokens, which Taiwan's semiconductor industry can continue to capitalize on.Trend 2: Building prototypes of AI-based products and services is becoming very efficient, which is changing the corporate innovation process: "It's easy to generate 20 ideas now, and 19 of them don't work well, so just throw them away," said Wu. Now it's easy to generate 20 ideas, 19 of which don't work well, so just throw them away," said Andrew Ng.Trend 3: AI is already heavily utilizing text-based technologies. In the future, AI will move towards a multimodal form, moving from text to image analysis, and Taiwanese companies can focus on visual AI applications in areas such as manufacturing, autonomous driving, and security.Trend 4: Data Gravity is decreasing, meaning the cost of "moving" data is becoming lower.Trend 5: The importance of data engineering is increasing, especially in the management of unstructured data such as text and images.CK Tseng, Arm VP, Sales of North America, Da-shan Shiu, Managing director of MediaTek Research, and Robert Wang, Managing Director of AWS Taiwan and Hong Kong, joined Andrew Ng in a panel discussion moderated by David Weng. They see agentic AI systems that autonomously execute tasks as transformative across multiple sectors, especially when embedded in workflows that enhance productivity and accuracy. They highlight several use cases:1. Service Efficiency: Tseng provided a real-life example where agentic AI can streamline services, like restaurant reservations, by allowing AI-to-AI communication, thus reducing inefficiencies for both consumers and businesses.2. B2B Opportunities: Panelists noted that agentic AI is particularly impactful in business-to-business (B2B) contexts. AI-driven workflows can tackle complex, high-stakes applications like legal document processing, cross-border trade facilitation, and energy management, where domain-specific knowledge is critical. They observed that B2B applications have less competitive pressure than consumer-facing (B2C) applications, which often get replicated quickly.3. Trust and Reliability: Regarding trustworthiness, panelists stressed the need for AI agents to earn user trust through the reliable execution of delegated tasks. They discussed tools like guardrails and verification mechanisms to improve accuracy and avoid errors, noting that many companies fine-tune their language models to ensure the reliability of function calls, which is crucial for dependable task execution.4. Industry-wide Applications: The panelists foresee widespread adoption in industries with extensive digital operations. They mentioned healthcare, finance, and manufacturing as sectors likely to benefit from agentic AI, especially when it can operate autonomously within established, digitally integrated processes.As AI agents gain traction, the panelists anticipate a wave of new startups focused on developing novel AI agents, accelerating commercialization across various industries.In his closing remarks, Weng reiterated Taiwania Capital's commitment to supporting Taiwan's startup ecosystem in the Agentic AI era. Jointly planned with AWS, Taiwania has organized a series of activities to support AI startups and enable mature industries to upgrade and transform. Their goal is to help Taiwan secure a competitive advantage in the generative AI landscape, opening new opportunities for innovation and growth.
iCatch Technology, a leading AI vision SoC platform solution provider in Taiwan, and DMP (Digital Media Professionals), a leading AI acceleration solution company in Japan, are excited to announce their collaboration to co-exhibit at Automotive World 2025, held at Tokyo Big Sight from January 22 to 24, 2025. At this year's event, the two companies will showcase advanced Camera Monitoring System (CMS) solutions for both passenger and commercial vehicles, featuring DMP's AI algorithms for ADAS, DMS, and License Plate Recognition (LPR), all powered by iCatch CR5 AI Vision SoC.CMS, DVR, and DMS cameras are essential for modern automotive safety and convenience, relying on advanced AI-driven applications to provide real-time analytics, improve image quality under diverse environmental conditions, and ensure seamless operation. Low-latency performance is critical for fast decision-making, especially in ADAS, while features such as dirt detection and low-light capabilities ensure system reliability in challenging conditions. High-precision frame synchronization enhances the integration of multiple camera feeds, improving both driver safety and overall system performance.Central to this collaboration is iCatch's latest SoC, the CR5 AI Vision SoC, specifically designed for automotive applications. The CR5 integrates the ThetaEye AI ISP Gen 8 for superior noise reduction and exceptional low-light imaging. Supporting up to 8 cameras with 120dB High Dynamic Range (HDR) and Local Tone Mapping, the CR5 delivers a total resolution of 4K60. The SoC also features a 1.5 TOPS AI Neural Processor Unit (NPU) for robust AI processing, a low-power Smart H.265 codec, and an audio DSP with 3A algorithms.With advanced interfaces like USB 3.2 Gen 1 and SDIO 3.0, the CR5 ensures secure data protection through AES encryption. This collaboration with DMP underscores the strength of their partnership to drive innovation in automotive AI vision solutions."We are thrilled to collaborate with DMP at Automotive World 2025, showcasing the combination of iCatch's cutting-edge Vision SoC with DMP's software and ecosystem," said Weber Hsu, President of iCatch Technology. Tatsuo Yamamoto, Chairman, President, and CEO of DMP, added, "By integrating DMP's AI solutions with iCatch's advanced CR5 SoC, we offer a comprehensive, high-performance system for next-gen automotive applications. This collaboration will enable us to deliver best-in-class solutions for ADAS, DMS, and LPR."For those interested in learning more about iCatch's latest SoC or to view our live demo, please visit our booth at Automotive World 2025 at Tokyo Big Sight from January 22-24, 2025.Credit: iCatch Technology
Alif Semiconductor, a leading global supplier of secure, connected, power-efficient Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion processors, has reinforced its position as the pioneer of endpoint AI MCUs with the announcement of the second generation of its Ensemble family of products.The new E4, E6, and E8 Ensemble MCUs and fusion processors will integrate the latest neural processing unit (NPU) from Arm, the Ethos -U85, with Alif's unique high bandwidth memory and intelligent power management architecture to support NPU operators required by transformer networks to efficiently execute generative AI workloads. Transformer networks enrich endpoint use cases by focusing on the most relevant parts of older portions of an acquired input sequence while rapidly processing in parallel the current acquired sequence to enable deeper contextualization. For localized use this results in an instant, accurate, and more satisfying experience when using multimodal AI in endpoint products focused on vision, voice, text, and sensor fusion without relying on the cloud.Reza Kazerounian, President of Alif Semiconductor, said: "Alif's original Ensemble controllers in full production today remain at the forefront of the market for AI/ML performance, on-chip resources, energy efficiency, and small footprint. We specifically chose Arm's standardized Ethos NPU IP because of its widely supported broad ecosystem in addition to superior performance and efficiency. Alif's second-generation controllers will dial up benefits again enabling developers to create products that previously they could only wish for, unleashing endless new use cases that will enter our everyday lives."The new Ensemble devices are based on the proven system architecture which made the first-generation E1, E3, E5, and E7 products so popular. These included large, fast on-chip tightly coupled memories to feed pairs of Arm Cortex-M55 CPUs coupled to Ethos-U55 NPUs, Alif's proprietary aiPM granular power management, a hardware-isolated secure enclave, and multiple ways to stream image, sound, and sensor data into the device. Ensemble devices can readily perform inferencing for neural networks using only its internal memory, and with external memory if required.The second generation of Ensemble introduces a set of improvements to give even higher AI/ML performance at lower power consumption, and to provide more integrated support for embedded vision and audio applications. New features integrate a wider internal memory bus topology bringing abundant localized data bandwidth for NPU consumption, dual MIPI-CSI camera interfaces, a fast hardware image signal processor operating up to 200 frames per second, and a pair of faster interfaces to external memory each capable of 800MBytes/s. Finally, new broader options for SRAM data retention give designers more flexibility to wake from sleep faster.Paul Williamson, Senior Vice President and General Manager, IoT Line of Business at ARM, said: "As edge AI deployments continue to grow at pace, we need to deliver smarter, faster, and more secure processing on the devices closest to the data source. With the world's first implementation of the Ethos-U85 in an endpoint AI MCU, Alif is enabling on-device generative AI, which is particularly valuable in voice and vision applications. OEMs can now embed AI into battery-powered applications, illustrating why edge AI is being built on the energy-efficient Arm compute platform."Pete Bernard, Executive Director of the EDGE AI FOUNDATION, added his appreciation of the role that Alif has played in enabling AI at the edge. He said: "The use of transformer networks in endpoint devices such as smart glasses or earbuds promises to make interactions with devices astonishingly intuitive and natural. Alif is opening a pathway to this new opportunity by implementing the Ethos-U85 NPU in the high-performance, low-power Ensemble architecture."The second-generation Ensemble E4, E6, and E8 devices will be available for lead customers, contact Alif for samples. The first-generation E1, E3, E5, and E7 Ensemble devices continue to be actively supported for new designs and are in volume production.
Merck, a leading science and technology company, today launched a beta version of M-Trust, a secure cyber-physical trust platform, created to help solve the growing issues of product safety, traceability, and counterfeiting.Laura Matz, Chief Science & Technology Officer of Merck stated, "As expectations for product quality control rise, companies must ensure safety and transparency in their industrial value chains while complying with ever-tightening regulations. Until now, they may have struggled to fully digitalize assurance processes because machines did not meet human standards. M-Trust is a first-to-market, cyber-physical trust platform that enhances product traceability and authenticity by digitally empowering human capabilities in quality control processes. Designed for businesses that want to remain competitive in today's connected world, this innovative technology is also poised to enable the novel business models of tomorrow."The M-Trust platform enables organizations to improve product quality and authenticity by immutably linking the physical and digital worlds. Powered by advanced Web 3.0 technology, the new offering supports the creation of digital twins for enhanced product security and the digitization of quality control processes.The platform allows customers to:-Use crypto anchor technologies to link physical products to their digital identities, enhancing traceability and quality assurances throughout the supply chain.-Work within a framework that enables them to build digital systems that translate human capabilities in quality control into more efficient and less error-prone machine-to-machine interactions - the platform can be leveraged to help machines identify objects with certainty and make verifiable claims about them.-Integrate product authenticity into their systems, including the potential for smart contracts that verify data and automate agreements within a value chain.The M-Trust portfolio of software and hardware is first-to-market and built on multi-patented technology. The Platform as a Service (PaaS) offering includes software that can be easily integrated into existing workflows and processes, crypto anchors that are adaptable to different security needs, and corresponding reader hardware.Built in-house at Merck, this technology is backed by the company's legacy and expertise in product quality and security and is designed to adapt to evolving technologies and regulatory requirements, such as the EU Digital Product Passport.The M-Trust platform is being launched in beta to offer verified users an early invite to be part of the new product's journey. Updates on the general availability will be provided in due course. More information on the new platform and developer-focused software development kits can be found at: www.MTrust.io
