Category: AI News

[ad_1] Google Research has released TimesFM-2.5, a 200M-parameter, decoder-only time-series foundation model with a 16K context length and native probabilistic forecasting support. The new checkpoint is live on Hugging Face. On GIFT-Eval, TimesFM-2.5 now tops the leaderboard across accuracy metrics (MASE, CRPS) among zero-shot foundation models. What is Time-Series Forecasting? Time-series forecasting is the practice…

[ad_1] A team of Stanford University researchers have released MedAgentBench, a new benchmark suite designed to evaluate large language model (LLM) agents in healthcare contexts. Unlike prior question-answering datasets, MedAgentBench provides a virtual electronic health record (EHR) environment where AI systems must interact, plan, and execute multi-step clinical tasks. This marks a significant shift from…

[ad_1] American maritime technology company Mythos AI has completed the installation of its Advanced Pilot Assistance System (APAS) aboard the vessel CB Pacific, a chemical cargo ship owned by CB Tankers. The APAS project is designed to manage navigation at sea. Unlike most traditional systems in this space that depend largely on machine vision, APAS…

[ad_1] Meta has released MobileLLM-R1, a family of lightweight edge reasoning models now available on Hugging Face. The release includes models ranging from 140M to 950M parameters, with a focus on efficient mathematical, coding, and scientific reasoning at sub-billion scale. Unlike general-purpose chat models, MobileLLM-R1 is designed for edge deployment, aiming to deliver state-of-the-art reasoning…

[ad_1] Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA pipelines). In this article we will focus on four dominant stacks—CUDA, ROCm, Triton, and TensorRT—from the compiler’s perspective and explains which optimizations move the needle in practice. What…

[ad_1] Robotics and artificial intelligence are converging at an unprecedented pace, driving breakthroughs in automation, perception, and human-machine collaboration. Staying current with these advancements requires following specialized sources that deliver technical depth, research updates, and industry insights. The following list highlights 12 of the most authoritative robotics and AI-focused blogs and websites to track in…

[ad_1] Google AI Research and DeepMind have released VaultGemma 1B, the largest open-weight large language model trained entirely with differential privacy (DP). This development is a major step toward building AI models that are both powerful and privacy-preserving. Why Do We Need Differential Privacy in LLMs? Large language models trained on vast web-scale datasets are…

[ad_1] Customers are discovering brands and learning about products and services in new ways from traditional search to AI search, to AI agents and more, the discovery journey has completely changed, and brands need to adapt to the new paradigm. Launched earlier this year, Yext Scout is an AI search and competitive intelligence agent that’s…

[ad_1] BentoML has recently released llm-optimizer, an open-source framework designed to streamline the benchmarking and performance tuning of self-hosted large language models (LLMs). The tool addresses a common challenge in LLM deployment: finding optimal configurations for latency, throughput, and cost without relying on manual trial-and-error. Why is tuning the LLM performance difficult? Tuning LLM inference…

[ad_1] Owner of VMware, Broadcom, announced that its VMware Cloud Foundation platform is now AI native at the VMware Explore conference a few weeks ago. It was the latest move by the company to keep up to speed with the rest of the technology industry’s wide and rapid adoption of large language models, yet came…