Artificial intelligence (AI) stocks are plunging following the results of the midterm elections. One of the biggest talking points for Democrats on the campaign trail was heavier oversight over AI data centers. While more regulation could impact the hyperscalers, Apple is in a unique position to benefit no matter who controls Congress.
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,
Shield AI has more than doubled its valuation to $28.8 billion in eight months, up from $12.7 billion in March, after securing a new $1 billion Series H funding round. The Series H funding round was co-led by Disruptive and Innovation X Advisors,
Nvidia reportedly requires GPU monitoring for Southeast Asian cloud partners as China AI chip smuggling concerns grow. Here's what businesses should know.
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…
Effective LLM tutoring depends on correctly identifying the specific error in a student's reasoning before generating feedback. We study this problem in propositional-logic proof tutoring, where student actions can be checked against formal inference rules. We introduce a…
Reinforcement learning with verifiable rewards (RLVR) often improves pass@1 while falling behind its base model at larger sampling budgets $k$, a crossover read as evidence that RLVR only sharpens existing capability. We identify two limits to this reading. First, a visible…
Low-light conditions can significantly degrade the ability of vision-language models (VLMs) to accurately describe human actions in videos. In this work, I propose an efficient uncertainty-aware representation correction framework for improving captions generated by VideoChat2…
Large language model (LLM) planners can decompose natural-language instructions and select reusable robot skills, but choosing the correct skill does not guarantee successful physical execution. This gap is especially important in humanoid loco-manipulation, where errors during…