Years after the release of Bitcoin, the semiconductor industry is in for a splash with the upcoming release of Filecoin, a block-chain based digital storage system. With many users impatiently anticipating Filecoin's release, pent up demand for Filecoin mining services and products will likely translate to a spike in demand for relevant components, such as processors, memory and storage.Today, most data is stored on a centralized cloud storage system hosted by providers, such as Amazon and Google. Because these companies use a central cloud owned system to store everyone's data, it becomes vulnerable to data breaches and outages, such as with the 2017 iCloud hack.Filecoin, on the other hand, builds on InterPlanetary File System (IPFS) and relies on miners to provide storage on a decentralized network. By utilizing a peer-to-peer storage system instead of cloud storage platform, data is protected from a central point of failure, rising storage costs and monitoring.In addition to providing increased storage protection, Filecoin was created to be more accessible to the public, meaning even users without mining experience can contribute to the system easily. In return, contributors will be rewarded with Filecoin cryptocurrency (FIL), incentivizing others to store IPFS content as well.Crypto mining activity, in general, has only continued to increase over the years. Bitcoin, for instance, gained 15 million users in 2019 alone as BTC price remains above US$10,000. Because total FIL is limited to about two billion units, its value will also likely continue to increase - especially as more users join.Unlike with Bitcoin mining, Filecoin mines with hard drives instead of specialized machines. Thus, owning more storage does not result in more effective mining power. To gain more, miners must commit a higher amount of sealed data to Filecoin's system, resulting in a need for powerful processors and high-density HDDs."With the opportunity for anyone to earn FIL, manufacturers that produce DIMMs, CPUs, HDDs, GPUs and motherboards, should expect a spike in demand as users look to gain more mining power. HDD and RDIMM makers, especially, are expected greatly benefit from the upcoming release of Filecoin," states Kingsley Yao, Regional Account Manager, Asia at Fusion Worldwide.Manufacturers may experience more orders for selected products, including newer versions of CPUs, GPUs, RDIMMs and eventually any components used in new mining machine designs. And, since high density HDD is necessary for an IPFS, increased demand could lead to shortages on and higher prices for HDDs and certain CPUs once mass production starts.Those wanting to store their data on Filecoin will also greatly benefit from its release as well. Apart from the greater security and privacy gained from Filecoin's encryption and 'sharding' process, the system's storage cost is also transparent and negotiable. The cloud storage industry is bound to also be affected as competitive pricing will be needed to compete with this decentralized peer-to-peer system.Though Filecoin has only released its "Testnet Incentives" program, numerous Chinese companies have already started selling cloud mining contracts and physical hardware. Multiple mining hardware manufacturers have already reported achieving millions of dollars in sales each tied to Filecoin. Currently, effective mining hardware is predicted to cost more than US$30,000 per set.In the long run, the benefits of mining and storing data on Filecoin will lead to a spike in demand for storage and key components used to build and sell FIL mining machines. Not only will this heightened demand increase pricing for these products, but the cloud storage market may never be the same. As traditional storage data provider giants compete with companies like Filecoin, other industries may need to prepare for the rise of other cryptocurrency powered programs in their markets as well.Filecoin processesPhoto: Company

ProteanTecs, a global leader of Deep Data solutions for electronics' health and performance monitoring, announced today an upcoming live webinar titled "Increasing SoC Quality and Time-to-Revenue with Universal Chip Telemetry (UCT)" which will be hosted on December 9, 2020 at 12pm EST.This webinar will discuss Universal Chip Telemetry (UCT) for chip production, providing high coverage deep data monitoring for parametric visibility in product bring up and volume testing.Attendees will learn:*How to reach volume production faster with higher confidence*How to achieve a 10X DPPM reduction at a fraction of the cost*How to shift-left production for significant cost savingsThe event will feature a live Q&A session."This webinar is a must for anyone dealing with challenges associated with SoC design, bring up, characterization and volume manufacturing," stated Raanan Gewirtzman, CBO. "UCT has the power of providing visibility in all phases of production with apples-to-apples correlation between design and silicon, and across all test stages. When dealing with advanced technologies, companies can't afford to not take advantage of the newly available deep data."To join this free event, register here.About ProteanTecsProteanTecs develops revolutionary Universal Chip Telemetry (UCT) for electronic systems throughout their entire lifecycle, increasing their performance and reliability. By applying machine learning to novel data created by on-chip UCT Agents, ProteanTecs provides meaningful insights and visibility unattainable until today, leading to new levels of quality, reliability and scale. Founded in 2017, the company is headquartered in Israel with offices in New Jersey, California and Taiwan.ProteanTecs live webinar

Exascend Co. Ltd., a leading service-driven high-performance storage solution provider, has announced the availability of new line of thermally optimized, ultra-capacity, high speed and PCIe Gen3 NVMe and SATA3 SSD products based on Marvell's industry leading SSD controller.Exascend PI3 (PCIe Gen3x4) product series are Industrial grade (-40 degree C - 85 degree C operating temperature) SSD with enterprise performance features (sustain high speed and low latency) available in standard U.2 up to 8TB, M.2 2280 up to 4TB. Legacy part such as SI3 Series (industrial SATA3) are still available with capacity up to 4TB and will be a long-term support item.Design and optimized for industrial and rugged applications, where unpredictable operating environment, wide temperature fluctuations, thermal and airflow restrictions pose significant design challenges for small form factor, especially when SATA3 is migrating to high performance PCIe NVMe SSDs."The new generation of industrial applications requires lower latency, consistent QoS, and ever increasing sustained high performance under all operation conditions. PI3 SSD product innovates by fusing Exascend enterprise performance storage with proprietary thermal management technology and extended temperature support. With the introduction of our rugged PCIe SSD for rugged applications," said Exascend CEO Frank Chen, "Exascend is very proud in achieving a significant milestone for the global storage industry. The accelerating trend of Flash adoption for rugged applications, industrial automation, edge computing has called upon service focused companies like Exascend to deliver enterprise performance solutions under wide temperature operating conditions - two conflicting requirements by conventional perceptions. By leveraging our deep expertise in SSD technology, Exascend is able to accomplish both requirements simultaneously and advance our mission to push the boundary of possibilities."Hardware-based AES 256 encryption engine with TCG OPAL 2.0 supportBoth PI3 and SI3 series products support TCG Opal 2.0. By encrypting the entire drive, users do not need to worry about their data being accessed if the drive, laptop, or mobile device is stolen or lost.In addition to standard PCIe NVMe and SATA3 features set, Exascend products are engineered with innovative features and optimizations based on proprietary technologies for rugged applications.Exascend adaptive thermal controlExascend's patented algorithm continuously monitors drive thermals, and regulates drive performance to improve SSD reliability, simultaneously enhancing sustained performance and quality of service (QoS) by 10X. Below is an example of performance benchmark in thermal chamber simulating operation temperature under wide temperature range.4TB M.2 write performance (MB/s)M.2 is far more challenging as opposed to 2.5" or U.2 form factor due to thermal-dissipation is very limited in such small form factor, the higher the capacity, the more difficult it gets. Nevertheless, Exascend's 4TB M.2 can provide a 1,450MB/s sustained write under -40 degree C – 75 degree C, 700MB/s sustained write at 75 degree C – 85 degree C.Exascend accelerated bootWe recognize system responsiveness is a critical aspect of user experience, high capacity Flash storage may take minutes to respond after power cycle, negatively impacting responsiveness. Accelerated boot is our unique technology, by streamlining initialization to prioritize system response, and layering initialization to allow background error correction and recovery, reducing boot time from minutes to seconds, dramatically improving system responsiveness.Exascend rugged feature suiteExascend's standard rugged feature suite including Secure Firmware Update, Tamper Proof Firmware Encryption, Firmware Rollback Protection, Optional Power Loss Protection, pSLC Support, Industrial Temperature Range, Enterprise Performance, High QoS, Low Latency, Fix Major BOM ServiceExascend deep customization serviceExascend's platform-based technology enables deep customization to drive value-add services. We provide engineering support on further performance, power, thermal optimizations and security, vendor unique features on PI3 / SI3 products.Optional value-add featuresExascend's Optional Value-Add Features including thermal, performance and power budget tuning, configurable drive over capacity and provisioning, configurable DWPD (drive writes per day) for extended endurance and life, customizable LED status lighting, customized drive SMART status and telemetry data, write protect or read-only mode for security purpose, integration support of drive life monitoring, rugged erase trigger with quick erase and sanitize erase, custom form factor and connector interface, and exclusive factory data recovery service.Target applicationsPI3/SI3 SSD products are implemented in: factory automation, IoT gateway, transportation, edge server, medical equipment, telemetry devices, 5G telecommunication, autonomous driving, and surveillance.Exascend is a service-oriented provider of innovative standard and custom storage solutions, specialized in low power, high performance, and high reliability products. Since its founding, the company has been awarded more than 45 US and worldwide patents on storage related technologies. "Engineering Inspiration to Innovation" Exascend takes pride in enabling its global customers to push the boundary of possibilities and to differentiate with quality, reliability, and flexibility. For more information about Exascend, please visit www.exascend.com.

The pathologist, specialized in looking at tissue or pathological sections through a microscope, is to make a definitive cancer diagnosis and may also work with physicians or other members of healthcare team to recommend a treatment strategy that could include observation, surgery, chemotherapy, radiation therapy, or a combination of these approaches. The pathologist is indispensable to the cancer care team.The interpretation of various pathological sections need to use different tissue marking dyes to find more details of each disease. The regular process will need to use different lenses to magnify objects for carefully observation in viewing macro or micro structure under microscope for a pathologist. It will consume lots of time to identify, count and examine imaging data including Liver fibrosis, Tumor, Hepatic necrosis area, liver portal vein infiltration, and fatty liver detection.Pau-Choo Chung, professor of Department of Electrical Engineering, National Cheng Kung University (NCKU), leads the team to develop digital pathology using image-based solution for the acquisition, management and interpretation of pathology information supported by computational techniques for data extraction and analysis through artificial intelligence (AI) technology. Her pioneer projects are aiming to build an assistant digital pathology system for helping pathologists to save time and efforts to do jobs.The single digital image file of pathological sections is huge sized data sets ranging from 10 to 50 gigabytes. It is necessary to transform the big image file to several smaller and regional image files for further processing. To perform AI training will require massive compute power. Those big data sets require huge GPU computing power and memory allocation. Through the support by National Center for High-Performance Computing (NCHC), this project gets support to access Taiwan Computing Cloud (TWCC) platform to perform the AI Training. The current stage for doing the AI model development, the data set is accumulated around 4000 images by the collaboration with National Cheng Kung University Hospital (NCKUH) and Kaohsiung Veterans General Hospital.For expanding to more use cases after performing AI training process, the project team uses TWCC cloud services to get increases in inference efficiency to fit the requirements of time constraints in hospital. However, it is requiring to link to the service of TWCC for leveraging the AI models under NCHC reinforced cyber-security protection. Some of the hospitals worry patient's data breach, there is another solution to build compute and storage servers inside the hospital's IT infrastructure. Currently the NCKUH and Kaohsiung Veterans General Hospital join force together to deploy this AI system into use as the standard operation procedures. Professor Chung welcomes these investments. And this will help the AI assistant system having further use in the hospitals.The project teams of Professor Chung are heavy users of TWCC services especially in AI training process. The data sets are huge objects to be uploaded to the cloud data center servers. That's the reason why both project team members and TWCC technical support team members frequently to conduct meeting having discussion of ideas for better usage of the TWCC services. It is a great appreciation to see the huge time saving for the project team members.The next steps of project teams are pushing the cloud services of liver pathology assistance systems under carefully considering cyber security priorities. This will help to expand more usage to all Taiwan hospitals with local storage of sensitive medical data. The entire design is aiming to apply TFDA license as a key milestone for making it commercially available in Taiwan. For achieving this goal, it is very important to collaborate with TWCC services. The TWCC service is an invisible hero, said Professor Chung with highly appreciation.Pau-Choo Chung, professor of Electrical Engineering Department, National Cheng Kung University

Stroke is one of leading causes of death worldwide. Ischemic stroke, caused by the blockage in arteries that supply blood to the brain, is one of the two major types of stroke accounting for 85% in all cases. Carotid artery stenosis is an early warning indicator of ischemic stroke. Carotid ultrasound is the current gold standard to assess the stroke risk. However, it requires medical professionals to operate the equipment, not to mention the precious time spent for appointments and waiting. The entire process is money-costing and time-consuming.For reaching an effective solution, Pulxion Medical Technology, a new start-up company, was spun off from Professor Hao-Ming Hsiao's lab at National Taiwan University. The mission of the company is to develop AI-based imaging technology, with the goals of translating the research work into clinical solutions and commercial products. Thomas Hsu, CEO of Pulxion, highlights that the company uses its core technology of dynamic video processing to build a non-invasive device for stroke risk assessment. The entire process is completed by taking a short video clip aimed at the neck under LED light with only one simple click, anywhere, anytime. In less than five minutes, the user receives a report indicating low to high risk for stroke assessments. With this device, Pulxion plans to promote its use at chain pharmacies and clinics, healthcare centers, and local communities for general public who might have stroke issues without foreseeable symptoms. Early detection is the key to the preventive medicine, Hsu said.Pulxion has collaborated with medical teams from National Taiwan University Hospital (NTUH) for more than five years, with more than 500 clinical cases enrolled so far. These clinical data were used to develop the core technology of dynamic video processing, feature extraction, and AI algorithms. The accuracy of its product stands higher than 90%, when compared to the Carotid ultrasound clinical outcome. The company is planning to apply for regulatory approval from FDA and TFDA to make PulStroke commercially available.In the second development phase of this product, the AI technology will play an essential role for processing massive video imaging data with the trained AI network. In this development phase, Pulxion chooses to enroll in Taiwan Computing Cloud Service (TWCC) from National Center for High-performance Computing (NCHC). The goal is to use parallel computing power of TWCC services to handle massive data for faster and higher efficiency. The use of TWCC powerful computing services will also help to keep all data in Taiwan local servers. This could facilitate the TFDA regulatory approval which is heavily regulated by the cyber-security acts. Applying TWCC services not only increase the high-performance computing power, but also help to meet the TFDA requirements.The design concept of Pulxion's PulStroke device is quick, accurate, and affordable and can be done anywhere, anytime, without the presence of experienced operators. The mission of the company is to provide personalized mobile hospital, allowing general public to assess their own stroke risk at home and take necessary actions as early as possible.Thomas Hsu (back row, second from right), CEO of Pulxion Medical Technology, and the team members

Artificial Intelligence (AI) is shaping the future of global medical industries. The practice of medicine is changing with the development of AI methods of machine learning. As the increasing accuracy of predictive medicine, AI technology, based on analyzing patient's medical records, is entailing predicting the probability of disease in order to either further diagnosis of disease allowing for the estimation of disease risks or significantly decrease the cost to deal with its impact upon the patient. The AI based prediction medicine is a new type of earlier medicineHsuan-Chia Yang, assistant professor of the Graduate Institute of Biomedical Informatics, Taipei Medical University, explains Prediction of Principle Health Threat (PROPHET) project. Led by Dr. Li Yu-Chuan, a pioneer of AI in Medicine and Medical Informatics Research, earlier medicine for fatal diseases is leveraging AI technology and data mining systems to provide a personal, real-time, accurate and manageable healthcare program. The PROPHET project provides the prediction of cancer risks and boosts the new business opportunity of start-ups. Taiwan Ministry of Science and Technology provides the funding support for this kind of projects.Taking breast cancer detection as an example, there are 5 persons confirmed as positive out of every 1000 people screening. Applying the AI earlier medicine perdition method, the effective rate will be reduced to 5 confirmed out of 233 people check. There are 77% saving of breast cancer earlier diagnosis. The saved cost is obvious.The basic of PROPHET project is making AI Bio-maker model using AI technology to screen cancer and provide the prediction. Transforming the patient medical records to time matrix data diagrams, the skill is setting to predict 10 kinds of cancer risks after one year time frame based on sequential medical records to develop a prediction model. Each prediction of various cancers could reach 85% AUROC (Area under the receiver operating characteristic) curves. Taiwan Healthcare insurance program preserves every citizen's healthcare digital records of treatments and medicine usage. PROPHET takes this strength to analyze three-year personal data records to predict the cancer risks of next 12-month. These lower cost AI-based cancer predictions allow healthcare professions to participate in the decision about whether or not it is appropriate testing or detection priority for patients.From the technical point of view, the dynamic prediction value of personal diseases is a time-dependent scenario. The time matrix combined with personal medicine usage records and various diseases could make a two dimensional health diagram. The vertical axis is thousands of variables including medicine usage, set of medical signs and symptoms. The horizontal axis is time listings based on week or month. There are about 250 thousand health diagrams to use in the AI training process to get effective prediction AI models. After requiring repeat fine-tuning in training new AI models of each cancer, it can be derived effective prediction models based on above AI Bio-marker.However, the huge compute power to perform these AI training tasks requires huge support from Taiwan Computing Cloud (TWCC) services. The development team of PROPHET enrolls to join the new startup competition from National Center for High-performance Computing (NCHC) and allows taking approximately equivalent to NT$3 million dollar funds to use TWCC services. The things have been a big help for the project. Through participating the AI Startups campaign event hosted by NCHC, this project gets support to access TWCC platform to perform the AI Training. The entire AI training tasks only 1 hour compared with two-week AI training efforts in old days. It is a great improvement to see the huge time saving and strong compute power support for the project. Especially the useful design of flexible funding allocation and pocket management tools from TWCC services, it is a very helpful way for team members to control resources, and Yang mentioned the thing needs to be highly addressed here.The AI-based earlier medicine is providing to medical professions and medical doctors not to the patients directly. All the talks and communications will conduct by doctors based on thorough estimation the details of all factors. That's the reason why PROPHET project is focusing the mutual discussion and intense study of doctors and development team members. The next step of PROPHET project is applying the FDA license and in collaboration with public health agencies, hospitals, insurance and other parties. The usage in the field of earlier medicine is deemed appropriate if there is a compelling clinical reason to do so, such as the availability of prevention or treatment as a child that would prevent future disease.The team members of PROPHET project

The changing landscape of digital medical imaging solutions is enabled by artificial intelligence (AI) technology. And the new challenges in the fast changing development of Bioinformatics, or called BioICT, are becoming one of the key driving forces to lead the way of future smart healthcare solutions. MESOPHDIO Laboratory is a new startup company targeting AI services for professors, doctors and Bio-tech companies to provide AI-powered applications or solutions.Dealing with high resolution medical images is one of the major out-sourcing services provided by MESOPHDIO Lab. This service requires customized skills to do AI-based image processing. Once customers prepared data sets for AI model training, the rest of works will be handled by MESOPHDIO including digitized data gathering, tagging data and AI model training. It will bring great convenience to customers.The founder of MESOPHDIO Lab. is Dr. Chun-Yen Lin, who is currently Adjunct Assistant Professor of Taipei Medical University and provided machine learning technology services and instrument development in the biomedical industry for years. All the data provided by customers, he could not disclose the data contents or project details. But the AI-powered medical imaging solutions are a booming and welcomed fields by research labs and academic institutes. Digital imaging is increasingly applied to image capture for microscopy.The unique strength of MESOPHDIO is specialized digital imaging for microscopy. This is increasingly trends applied to high resolution medical imaging leveraging AI technology. The best selling points of MESOPHDIO's service is using SimCLRv2 to Train AI models for recognizing cancer cells. This approach is proposed to use semi-supervised learning algorithm and fit the practical use cases.Contrastive Learning is the popular approach to formulate the task of finding similar and dissimilar medical imaging. Using this approach, one can train a machine learning model while making best use of a large amount of unlabeled data is unsupervised pre-training followed by supervised fine-tuning.Taking the image files receiving from customer in these days, it is easily to get more than 6 gigabytes sized image data. This immense data will require high speed data transmission systems to transfer files. After applying image processing tools, this data could be used for Training a customized AI models. This process will need massive GPU compute power and huge memory for helping to perform the neural network training.However, the huge compute power to perform these AI training tasks requires huge support from Taiwan Computing Cloud (TWCC) high performance computing services. MESOPHDIO enrolls the AI startup "TWCC STAR TREK" hosted by National Center for High-Performance Computing (NCHC), this project gets support to access TWCC platform to perform the AI Training. The entire AI training tasks are easily improved to see the huge time saving and strong compute power support for the project. The high speed service is impressive.The next step of MESOPHDIO's development will be more focus on practical usages of AI technology. Practical artificial intelligence has made its way and into daily lives of everyone. And judging from the pace of activity in the startup community, it will only grow in its ability to help people to get things done. The future growth will need to be based on an increasingly engagement with customers. For this development strategy, MESOPHDIO will be in collaboration with hospitals and make MESOPHDIO's solutions used in the standard operation procedures in place for working on specific tasks.Dr. Chun-Yen Lin, founder of MESOPHDIO Lab.

Taiwan is located in Circum-Pacific Belt and has been suffering from frequent earthquakes. The damage caused by large earthquakes is devastating and therefore, seismological study is one of the major academic scientific researches in Taiwan. The precise measurement of the P and S waves will help seismologists to calculate the distance from the epicenter of an earthquake. To analyze seismic data could conduce to better understanding of warning signs of an earthquake. And combining with data of precise earthquake waves will improve accuracy and speed of early warning systems.The interpretation of seismic wave motions takes a lot of efforts, especially the P and S wave records from multiple seismographs, which takes time for experienced analysts or engineers to pick and analyze the data for further calculation and explanation. Compared with the P waves which are easier to analyze, the standard for S waves will have certain variations among different seismologists.Taiwan government has deployed more seismograph stations in the island to gather huge data than before. Dealing with big quantities of data under the conditions of time constraint and analysts shortage, it is an intense pressure for public sectors including Taiwan Central Weather Bureau (CWB). When earthquake happens, the immense data travels from different stations. The potential of using automation systems to assist or even replace the traditional manual operation is becoming an important trend. The Artificial Intelligence (AI) technology is a new star to assist solving the needs.The ARRU seismic phase picker project of Earth Sciences Department at the National Cheng Kung University (NCKU) is aiming to use Deep Learning models to select right waves from massive data. The project leader is Will Liao, who is PhD student in his first year. In this interview, he highly appreciates the effort and time devoted by Central Weather Bureau and research colleagues in the community to work on keeping the seismic data of earthquakes over the past decades. These efforts also allow the following researchers to continue the works as if standing on the shoulders of these giants.Liao explains the detection rate of traditional automatic analysis method for P-Wave is around 75% while there is only 30% for S-Wave because of refraction or interference from P-Wave. To improve this phenomenon, the analysts and engineers take lots of time to correct the errors by re-checking and re-annotating in order to obtain a reasonable digit. The traditional automation method is to solve the issues, but it's not handy and instead cause more errors because of high variation of S-Wave. Some will even get more errors while multiple earthquakes happen in a short period of time; therefore the results of the automation method were far behind compared with human working results.This AI-related project will include the seismic data from Central Weather Bureau and other research organizations. There are about 30 to 35 gigabyte data files reserving for use in the AI training. Those big data sets require huge GPU computing power. Initially, Liao used GeForce RTX 2080Ti GPU accelerator card in NCKU laboratory which took two weeks for just running the AI training, but things have been improved. Through participating in the AI start-ups TWCC STAR TREK" hosted by National Center for High-performance Computing (NCHC), this project gets support from Taiwan Computing Cloud (TWCC) platform, and now the AI training takes only 4 or 5 days which is inspiring.The current stage is using TWCC's single GPU accelerator card for the first trials. In the next step, it will enable multiple GPU accelerator cards for AI training by modifying the Python codes. The target is to train more than 100 AI models. So far, with about two weeks trail experience, Liao has seen preliminary results. In the coming stages, it's expected to achieve more than 5-times computing performance with the help of V100 GPU and more memory capacity. The preliminary results using current effective AI models have fairly improved of P-wave and S-wave detection rate which ramping up to 98% and 90% respectively. Compared with previous results of 75% and 30%, the outcomes are very impressive. Combined with the conventional physics models, it is showing the convincing results and has better usage in the study of earthquake models which is associated with seismogenic structures. This research has been submitted to Q1 ranking journals in October 2020. The future goal for this project will aim to bring AI inference system to Edge Computing platforms and deploy to different sites for helping Taiwan Central Weather Bureau to increase the accuracy and speed of earthquake detection.Will Liao, PhD student at National Cheng Kung University

Winbond Electronics Corporation, a leading global supplier of semiconductor memory solutions, has announced that its W75F, the industry's first Secure Flash memory device with Common Criteria EAL5+ certificate, has now achieved the ISO26262 ASIL Grade D safety certification.For automotive market, the W75F Secure Memory is compliant with the AEC-Q100 and is now officially certified ASIL-D. The W75F device provides fault detection capabilities covering more than 99.9% of failures ranging from flash array cells, through the physical interface, and all the way to the host. The safety rating for the W75F surpasses that of internal embedded Flash memories while offering much more storage capacity that can potentially be scaled up to even higher densities.Winbond said, "The W75F is the ideal external secure memory companion, offering high level of security assurance at Common Criteria EAL5+. Now with the addition of ASIL Grade D certification, the W75F is even more beneficial for automotive platforms, which have to meet stringent requirements for security and functional safety. Winbond is the only flash vendor with the proven capability of designing devices that can bridge the gap between high safety and high security levels without compromising either."The W75F has also been certified with the Security Evaluation Scheme for IoT Platforms (SESIP) scheme for IoT and smart connected devices up to Level 3 with physical attacker.The W75F Secure Memory is the industry's proven secure external Flash device for code and data storage. It offers a dependable solution for manufacturers of connected systems, which want to defend their products against threats such as replay, rollback, man-in-the-middle, sniffing, side-channel and fault injection attacks.It is available in densities of 4Mb, 16Mb and 32Mb and is available in industry-standard SOP16, QFN32, and WLCSP packages.Key features of the W75F include:*Secure eXecute-in-Place (XiP) *Tamper-resistant *Code and data confidentiality and integrity *Mutual authentication with SoC *Shared memory architecture for multiple domains *21MB/s secured and authenticated throughput *100,000 program/erase cycles *20-year data retentionWinbond's W75F Secure Memory Element is in mass production. More information can be found at www.winbond.com.The W75F Secure Memory is the industry's proven secure external Flash device for code and data storage

The completion of 5G NR R16 standard from 3GPP has been announced the freeze in early July 2020. It is establishing aggressive targets for low latency and massive connection scenarios. The global telecoms are introducing a multitude of applications and use cases that most associate with 5G NR specification and boosting revenue to enable B2B commercial deployments to begin. Taiwan industries take a look at the possible potentials in smart manufacturing and smart healthcare sectors.Meanwhile, as millimeter wave technologies fast forwarding into the future with 5G landing applications, some IC design companies are working together to figure out the new direction to link with low orbit satellite communication technologies and seeing what it will be. The vertical integration of 5G service is getting more attentions.Auden Techno Corp. together with the Electromagnetic Compatibility (EMC) Chapter of the Institute of Electrical and Electronics Engineers (IEEE) co-organized the fifth symposium in Taipei on the topic of "SmartLife for Next Generation - Quantum Leap in Linking 5G Science and Technology" on September 10, 2020. The full event, hosted at Hua Nan Bank International Convention Center, began with General Session of Technologies and Bio-electromagnetic Keynote Speeches and Technical Sessions with three major tracks.Dr. Ruey-Beei Wu, TEMIAC Coordinator, Dr. Li-Fung Chang, Chief Architect of the 5G program Office in MOEA, Dr. Zse-Hong Tsai, Executive Secretary of Taiwan Executive Yuan Office of Science and Technology, Dr. Tzong-Lin Wu, Associate Dean of College EE & CS of NTU, Nain-Ling Jou, Assessor, A2LA American Association for Laboratory Accreditation and Daniel Chang, CEO of Auden Group (from left to right)Auden Group establishing communication platforms for 5G technologiesDr. Tzong-Lin Wu, as the moderator of the symposium, invites Mr. Daniel Chang, CEO of Auden to give the welcome speech. This is the fifth time for Auden Group to Co-host this event at Taipei. Due to the coronavirus pandemic still at risks, there are more than 300 attendees and 30 honor guests from sector of government, industry and research institute in this event. Chang hopes the facilitating government-industry-academia idea exchange communication platforms of this event will help Taiwan industries to gain the development momentum to 5G and Bio-electromagnetic technologies.Dr. Zse-Hong Tsai, Executive Secretary, Taiwan Executive Yuan's Office of Science and Technology, points out 5G enabled applications with potential and rapid development in many categories. He further emphasizes the growing role of low-earth-orbiting (LEO) satellites and millimeter wave technology. Both create the great potentials of new business opportunities. Taiwan government's policy is promoting cooperation among industries and academia.The consecutive invited honor guests to give the welcome speech include Dr. Li-Fung Chang, Chief Architect of the 5G program Office in the Department of Industrial Technology (DoIT) of Taiwan's Ministry of Economic Affairs (MOEA), Dr. Ruey-Beei Wu, TEMIAC Coordinator, and Mr. Nain-Ling Jou, Assessor A2LA American Association for Laboratory Accreditation.This yearly symposium is the 5th times for Auden Group to co-host the event. There are more than 300 participants join the eventAuden Techno Corp, founded 1990, provides R&D services to help customers to build and manufacture antenna systems to fit the requirements of mobile communications, automotive electronics and industrial applications. For providing better service to the customers with complete front-end design, pre-development testing and product authentication, Auden invests several compliance testing laboratories cross Taiwan straits including the first SAR (Specific Absorption Rate) testing Lab in Taiwan. By actively leveraging the testing lab efforts and RF technology core strength, Auden tries to help Taiwan ICT industry to shorten the gap to develop bioelectronics medical devices aiming the professional medical solutions.The electromagnetics measurement of Wireless Power Transfer and charging systemsThe first keynote speech presented by Professor Niels Kuster, ZMT's President of the Board. He is the founding Director of IT IS Foundation with well-known research on the exposure of a mobile phone user to radiofrequency energy. Professor Kuster also highlights the status of current SPEAG's effort to develop various validation systems for measuring SAR and help standard associations of US, Germany, China and Swiss to setup regulations and specifications.His presentation over video conferencing is a lecture related to the electromagnetics measurement of Wireless Power Transfer (WPT) systems. The interaction between human and electromagnetic fields have been highly considered by research institutes and technology industries. This is an overview of his latest research results covering WPT applications from wireless power transfer to electrical car charging systems. The measurement system is leveraging SPEAG's Magnetic Amplitude and Gradient Probe System (MAGPy) for fast and reliable compliance testing. The results will be sent by Sim4Life software for further comparison and evaluation study. The current tentative test standard for WPT is based on IEC/IEEE 63184. It will be scheduled in the third quarter of 2022 for the first draft version.Nokia looks at 5G nextNigel Chan, Nokia Taiwan Regional Head of Technology, presents the comparison of 5G markets in Korea, China and Taiwan as a start. There is noted good news to see Taiwan 5G download speed wining the global top 4 position according to OpenSignal statistical reports. This speed is 6.5 times of 4G/LTE speed marks in Taiwan. And the number of 5G global penetration rate will be exceeding 50% in 2023.Talking about major millimeter wave applications targeting low latency and smart manufacturing sectors, he shows current private networks use cases including sport stadiums, factories, harbors and mining fields. Meanwhile, in the Industrial Internet of Things sector, the new specification of NR-Lite is getting more attention. This new technology is aiming to co-exist with NB-IoT standards and addressing the new IoT devices to expand 5G to all industrial usages considering cost effective and mass deployment requirements.He also talks about the hot topic of low-earth-orbiting (LEO) satellites for enabling real global coverage of mass IoT devices deployment. The new technology of NTN (Non-Terrestrial-Networks) is catching sight. For predicting the near future, he states the next big things from 2020 to 2023 from Nokia point of views. This will include several high potential technologies such as new spectrum technology to detect physical objects leveraging MIMO, ORAN, AI/ML air interface, low power technology plus security and trust.Nigel Chan, Nokia Taiwan Regional Head of Technology speaks of what comes next while 5G continuing to evolveMediatek looks at the new technology trends beyond 5GDr. I-Kang Fu, Director of standard strategy, Mediatek, speaks 5G standardization development and experience of Mediatek active participation in the meeting and contributed to 3GPP work. He involved the works of standardization from 2G to 5G generation. For the past decade, he noted the main stream of mobile technology is focus on transferring wired Ethernet networks to wireless format. But the 5G technical evolution will drive by creating higher value of data and help telecoms to gain more incomes. In short, he states the real difference between 4G and 5G is "Data Differentiation". Furthermore, he highlights the value of data bits transmitted could have huge different when you compare mobile phone use case and smart manufacturing scenarios.The 5G networks contain a multitude of data usage and characteristics. One of the most exciting concepts enforced in 5G is one network fits all applications. That's the reason why 5G infrastructure designed by several sub-systems to fulfill different needs of data requirements. It combines with 4G/LTE networks because the return of previous investment does matter. From business model perspectives, 5G use cases won't all be ready at the same time. The end customers won't be equally applicable to or profitable in all markets. And each will require a different kind of 5G networks to work best. Pushing eMBB applications is the first focus of Telecoms while launching 5G services in the first phase. In this period of time, the driving force of high data speed will drive end customers to buy 5G phones for generating immense revenue incomes for Telecoms and investing 5G infrastructure construction more.The next phase, it will come to the stage of selling the value of "Data Differentiation". The focus will shift to the URLLC applications such as industrial automation or smart manufacturing. It will also boost the use cases of NB-IoT and eMTC to connect more devices for creating more data value.The eMTC applications raise the 5G coverage issues while current mobile network coverage is only 40% of land space in the earth. For expanding connection to all IoT devices, satellite networks can easily to provide the broad outdoor coverage to connect massive IoT devices. MediaTek is pushing the boundaries of advanced IoT 5G satellite communications with a successful field trial that transfers data through Inmarsat's Alphasat L-band satellite, in Geostationary Orbit (GEO) 35,000 kilometers above the equator. The results of MediaTek and Inmarsat's IoT field test will be contributed to the 3GPP's Rel-17 standardization work on Non-Terrestrial Network (NTN). The successful test builds the foundation for satellite and cellular networks to enable new 5G IoT services at a global scale. Mediatek is pushing the boundary of technology and find new path to lead further success.Dr. I-Kang Fu, Director of standard strategy, Mediatek, talks the 5G Satellite IoT technology5G Private Networks seeing the future trendMr. Tim Lou, General Manager, Transnet Corporation presents the topic related to build 5G enterprise private networks and solutions. His presentation is looking at two major focuses of smart manufacturing and smart healthcare. Germany and Japanese governments lead policy of 5G private networks. Both countries opened a process to allow private companies applying for private 5G licenses without having to resort to public mobile networks.The 5G private networks have strong potentials to promote smart manufacturing and smart healthcare to help industries to find path to grow new business and help people to live more valuable life. Both are the important investment for nations.The importance of 5G enterprise private networks are welcomed by Taiwan ICT and OEM/ODM industries. Transnet is conducting the Proof of Concept (PoC) projects to verify possible opportunity to kick starting the business. The integration tasks are involving RU, DU and CU plus combining MEC to form an end-to-end solution in the next year.Tim Lou, General Manager, Transnet Corporation, speaks the private 5G networksMillimeter wave technology applying to Minimally Invasive Spine SurgeryProfessor Sheng-Fuh Chang, NCCU, shares his PoC to provide an alterative smart healthcare solution for Minimally Invasive Spine Surgery use case. He uses 4 Frequency Modulated Continuous- Wave or Continuous-wave (FMCW/CW) radars using 24GHz millimeter wave technology for fine positioning in surgery. The surgical operation was conducted in Kaohsiung Veterans General Hospital. The results were reaching the accuracy to 1.8 millimeter precision range. This successful PoC project builds the possible use case for millimeter wave solution enabling new ideas of high precision positioning in a cost effective manner.In parallel technical sessions, there are three Tracks covering 15 key topics with the technical subjects - Track A: Millimeter Wave Beamforming technologies and AiP design, Track B: 5G NR technology and Conformance Test, and Track C: Smart Healthcare Solutions. The invited speakers are, Professor Chow-Yen-Desmond Sim, Feng Chia University, Professor Chao-Kai Wen, NSYSU, Dr. Alex Chou, Auden Techno. CTO, Professor Tzyh-Ghuang Ma, National Taiwan University of Science and Technology, Dr. Jie-Ying Zhong, Academia Sinica Institute of Astronomy, Dr. Bin-Chyi Tseng, ASUSTeK Computer Inc, Prof Han-Nien Lin, Feng Chia University, Dr. Alan Tang, Auden Techno. Vice President, Professor I-Fong Chen, Jinwen University, Dr. Eric Chen, A Test Lab, Vice President, Dr. Antonino Cassara, IT'IS Foundation & ETH Zurich, Dr. Yue-Loong Hsin, Chung Shan Medical University Hospital, Nathan Lin, WHALETEQ General Manger, Professor Shuenn-Yuh Lee, National Cheng Kung University, Professor Jin-Chern Chiou, National Chiao Tung University.This symposium is widely addressing the advanced topics of 5G and Bio-electromagnetic technologies. There are more than 300 participants to attend separated sessions and exchange ideas for further discussion. The demonstration booths also showcase the instruments and solutions to test various design of RF PCB boards, AiP modules. As Dr. Tsai, Zsehong, Executive Secretary, Office of Science and Technology, Executive Yuan, talking in his welcomed speech, 5G applications will open up several growth opportunities and lead to the emergence of a large business scale and large scale development. The industry, academia, and government collaboration will be a game changer for Taiwan economic future and help Taiwan industries to grasp the further growth.Professor Sheng-Fuh Chang, NCCU, shares his PoC project in Minimally Invasive Spine Surgery