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…
Behavioural evaluations of hosted language models can vary because the evaluated service, the measurement instrument, or both differ across runs. We separate three validation questions: whether a prior finding recurs on fresh data under its historical configuration…
Transmission system operators face rising complexity from renewable integration, reduced inertia, and tighter security margins. Large language models offer natural-language decision support, but their hallucinations, uncontrolled tool use, and weak traceability conflict with…
Process discovery rarely yields a single coherent process structure. For analysis, a common step is to cluster process variants based on structural similarity and then assign business meaning to the resulting groups. Since these partitions are not derived from the…
Mixture-of-Experts (MoE) models are increasingly deployed alongside Speculative Decoding (SD) to accelerate inference, but combining the two is challenging. SD improves the inference speed of dense models by verifying groups of tokens in parallel. However, the inference speedup…