Resonac is betting its advanced chip materials can make the multibillion-dollar merger that created the company pay off as AI demand surges. Managing Asia's Christine Tan speaks with CEO Hidehito Takahashi about growth plans,
Higher interest rates could force companies to rein in their AI spending. More states could stop approving new permits for data centers. In fiscal 2025 (which ended last November), Broadcom's AI chip sales soared 65% to $20 billion,
Nvidia (NASDAQ:NVDA) is reportedly financing billions of dollars in new factories and equipment to overcome a shortage limiting how many AI chips the industry can produce. The money is going to Taiwan's Siliconware Precision Industries (SPIL),
Palo Alto Networks Inc. is in advanced discussions to acquire Clutch Security, an early-stage startup specializing in securing autonomous artificial Palo Alto Networks is in talks to acquire AI agent security startup Clutch Security for $500M,
Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Class-balanced replay controls class frequency but does not determine the interval between successive replay appearances of a class. We study this interval, the rehearsal gap, separately from the class marginal and class co-occurrence, and introduce randomised-pass replay…
Medium-resolution (10-30 m) burned area mapping is vital for monitoring wildfires and their impacts, but remains difficult to scale. Existing methods require either curated fire-specific imagery or dense time-series analysis. Here, we tested whether annual Earth-observation…
Self-supervised learning for combinatorial optimization has emerged as a promising paradigm for solving discrete optimization problems with neural networks, but a central challenge remains: handling hard combinatorial constraints within continuous, gradient-based training.…
Signed graphs arise in trust--distrust networks, financial correlation systems, biological interaction graphs, and many other domains in which edges can be positive or negative and may also be directed. While signed graph neural networks have improved task-specific learning,…