The keen competition of large-language models (LLMs) is pushing various Generative AI operators in China to find alternatives to achieve higher computing power without...
The rapid development of large language models (LLMs) in China has led to various development bottlenecks for AI, including complex computing power management, high training and inference...
When Raghu Panicker, the CEO of Kaynes Semicon (a 100% subsidiary of Kaynes Technology), decided it was time to fill more critical positions as his company expanded toward its goals...
Vietnam's Prime Minister Pham Minh Chinh recently visited South Korea from June 30 to July 3 to strengthen bilaterial ties and meet with key industry leaders.
Chinese tech companies are embracing a 'multi-chip hybrid' strategy to enhance their ultimate AI computing power. This approach supplements foreign offerings while avoiding sole reliance...
OpenAI recently surprised users by announcing that, starting July 9, 2024, it will cease providing API services to China and other regions, including Hong Kong.
Finally, foreign semiconductor companies investing to produce chips in the United States are getting the help they need to recruit local talent for their supply chain.
Unlike other major tech companies that heavily rely on Nvidia GPUs for training and inference tasks of Large Language Models (LLM), Apple's Apple Intelligence server chips are unique...
AI technologies being used for image recognition is one of the disciplines seeing rapid developments today. AI image recognition is adopted in wide-ranging applications including...
Spearheaded by Innovate UK and the British office, a delegation of 9 UK-based semiconductor companies has come to Taiwan to find local collaboration partners.
According to Renesas' press release, on June 3, the Japan-based semiconductor solution provider and the Indian Institute of Technology Hyderabad (IITH) signed a three-year memorandum...
TSMC has started producing Tesla's next-generation Dojo AI training tiles with its InFO_SoW (Integrated Fan-Out System-on-Wafer) technology, aiming for a 40x increase in computing...
In the rush to train Large Language Models (LLMs), tech giants encounter not just power supply hurdles but also confront the scarcity of internet data.
