A sharp pullback has cooled valuations on three AI hardware names that just posted blowout quarters. Each one sits a round-number gain away from a new high, but supply bottlenecks and customer concentration could still derail the run.
Sign up here to receive American Banker's complete Bankers' Hours newsletter—delivered to your inbox every morning. Chime puts out the welcome mat for external AI agents As financial institutions decide whether to allow external AI agents into their digital ecosystems, Chime is preparing to enable c
The PC industry faces a painful reset, but AI could redefine personal computing once agents and applications give users a compelling reason to upgrade.
Jensen Huang Says Nvidia's Next-Gen Vera Rubin Chips Will Generate $40 Billion in Revenue per Gigawatt, Up From $25 Billion for Grace Blackwell. What That Means for Nvidia's Growth Runway?
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…
We often teach a colleague by showing the work and explaining the decisions as we go. How can we check what an agent understood from the same lesson? We introduce ShowTellArena, a benchmark protocol and public dataset for comprehension after narrated business demonstrations.…
Hand gesture recognition is a key component in human-computer interaction (HCI), enabling intuitive interfaces for applications in gaming, virtual reality (VR), robotics, and more. This study integrates transformer-based machine-learning models for real-time hand gesture…
Reasoning-oriented reinforcement learning enables large language models to solve mathematical, coding, and other multi-step tasks, but shifts a substantial portion of the training cost to rollout, where trajectories are generated for policy updates. Efficient rollout mechanisms…
Autonomous spacecraft guidance and control requires a fast solution to non-convex trajectory optimization, which can be accelerated by providing a near-optimal initial guess to an optimization protocol, i.e., warm-starting. A robust warm starting method is especially useful for…