
Breaking the inference barrier requires a rethink of the whole system architecture, not just faster compute. This was the key takeaway from a recent panel discussion at SuperAI Singapore, which brought chip makers and an AI model accelerator together to address how to overcome inference bottlenecks at a time when compute workloads are hitting up against physical limits
Robotics has progressed rapidly in the past few years, but major obstacles — including data collection and trust infrastructure — remain barriers to widespread deployment. This was the takeaway from a recent panel of robotics experts at SuperAI Singapore, where they discussed the present and future of the industry
Applied Materials plans to expand its Southeast Asia workforce by about 25% this year, adding at least 1,000 workers mainly in Singapore as the city-state becomes a more important manufacturing, logistics, and advanced-packaging hub for the US chip-equipment maker, Nikkei Asia reported
