Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
PyTorch 2.12 introduces a new device-agnostic `torch.accelerator.Graph` API that unifies graph capture and replay across CUDA, XPU, and out-of-tree backends. The release delivers up to 100x faster batched eigenvalue deco…
NVIDIA and Ineffable Intelligence, the London-based AI lab founded by AlphaGo architect David Silver, announced a collaboration to build infrastructure for large-scale reinforcement learning. The partnership will focus o…
Archivists and historians are turning to large language models to rapidly transcribe centuries-old handwritten documents at scale, a task that previously required specialized training or custom software. Researchers at W…
Jon Hyman, co-founder and CTO of Braze, explained on the *Leaders of Code* podcast how he transformed the company's 300-person engineering organization into an AI-first team within months. He noted that over 60% of Braze…
Every interaction with a modern large language model is structured as a list of messages, each tagged with a role—system, user, or assistant—that shapes how the model responds and how context is managed across multiple t…
Arm has released a set of hands-on Jupyter labs demonstrating how to deploy AI models on edge devices using ExecuTorch, an extension of the PyTorch ecosystem designed for local inference on constrained hardware. The labs…
Veridian AI has released version 1.3.1 of its Quantum Mathematician, a state-vector engine that entangles historical theorems with current outcomes to produce high-resolution mathematical diagnostics. The system enforces…
Large language models like ChatGPT, Gemini, and Claude operate as next-token prediction machines, taking a sequence of tokens as input and outputting a probability distribution over their vocabulary for what the next tok…
Convergent infrastructure requirements for the foundation model lifecycle—including tightly coupled accelerator compute, high-bandwidth networking, and distributed storage—and highlights the growing reliance on open-sour…
Google's official gasket-driver repository for Coral TPU support has been abandoned as of April 2026, breaking compatibility with Debian 13/Trixie running kernel 6.13+. A community-maintained fork now provides a pre-buil…
At Google Cloud Next '26, Google announced Cloud Storage Rapid, a new family of object storage capabilities designed for data-intensive AI and analytics workloads. The offering includes Rapid Bucket, a high-performance z…
Traditional cloud reliability models, which focus on individual instances, are inadequate for trillion-parameter AI models, necessitating a shift to cluster-level reliability. Google presents its cluster-level framework …
Traditional intrusion detection systems (IDS) like Snort rely on specific signatures, which creates a critical gap in coverage for novel or modified attacks during the exposure window before a new rule is written and dep…
DeepSeek-V4's million-token context capability stems from a hybrid attention architecture that compresses context before KV storage, reducing cache pressure. Together's early bring-up on NVIDIA HGX B200 found that servin…
Researchers at BalCapRL introduced a balanced reinforcement learning framework for multimodal large language model image captioning that jointly optimizes utility-aware correctness, reference coverage, and linguistic qua…
The article describes the author's successful setup for running local AI models on an M4 Mac with 24GB of memory, specifically highlighting Qwen 3.5-9B (Q4 quantized) as the best performing model at ~40 tokens per second…
AMD has released the MI350P, a PCI-Express version of its Instinct MI350X GPU that is intentionally built with half the components to enable air cooling for on-premise AI inference and small model training. The new card,…
Researchers from NVIDIA have developed a new sparse data format and custom GPU kernels, called TwELL, that reshape unstructured sparsity in transformer language models to align with GPU architecture, achieving over 20% s…
Researchers have introduced Adaptive Parallel Reasoning, a new approach that allows AI reasoning models to autonomously decide when to decompose problems into parallel subtasks and how many concurrent threads to spawn. T…
Netflix released void-model on Hugging Face, and a developer used the Goose CLI agent with Together's dedicated containers skill to deploy the model for inference on release day with a single prompt. The agent automatica…