Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Sai Venkata Aditya Arepalli, an IIT Dharwad graduate who quit a Rs 13-lakh software job at Riverbed Technology to study artificial intelligence in the U.S., now earns Rs 1.5 crore as a software engineer at Amazon Web Ser…
A developer has shared techniques for reducing machine learning model inference costs by up to 80% while maintaining output quality comparable to premium services like Fable. The approach combines quantization, semantic …
The pyca/cryptography library now supports ML-KEM and ML-DSA, the NIST-standard post-quantum encryption and digital-signature primitives, making post-quantum cryptography available to the entire Python ecosystem via pip.…
An engineer developed an AI-powered system to detect sensory overload in her 7-year-old autistic son before meltdowns occur. Using ChatGPT to analyze sensory diary data, she identified patterns such as music class trigge…
A new paper from Hugging Face, 'Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss,' cuts the VRAM required for knowledge distillation from roughly 250GB to near zero, enabling lo…
A developer found that BM25's default length normalization parameter (b=0.75) systematically penalizes long RAG chunks, causing exact-answer chunks to rank below irrelevant headings. The analysis shows that the crossover…
Carol Lo, a lecturer in cyber security at the University of the West of England (UWE Bristol), is seeking an arXiv endorsement for the cs.CR (Cryptography and Security) category to submit her updated research on deepfake…
AI practitioners report that sourcing high-quality, domain-specific datasets remains a major hurdle, particularly for multimodal, multilingual, and human-annotated data, according to a query posed to industry experts. Th…
A software engineer's analysis argues that MoE routing in transformer inference is fundamentally the same problem as CPU branch prediction, and that KV cache management techniques such as prefix caching, eviction, and sp…
A developer has outlined a zero-budget, sandbox-first workflow for evaluating AI coding models, using a fixed prompt suite, a disposable git repository, and free-tier tooling. The approach treats model evaluation as a re…
GitHub has made GitHub Code Quality generally available on GitHub Enterprise Cloud and GitHub Team, combining CodeQL analysis with AI-assisted detection of maintainability and reliability issues and using Copilot Autofix…
Researchers at arXiv introduced MSB-GFM, a graph foundation model that represents multi-label nodes using multiple semantic bases, improving cross-domain multi-label node classification accuracy. The model replaces singl…
Andrej Karpathy, a founding member of OpenAI and former head of AI at Tesla, joined Anthropic on May 19, 2026, to lead a new pre-training research group, reporting to Nick Joseph, Anthropic's head of pre-training. Karpat…
A July 10 audit by the Los Angeles Police Department Office of the Inspector General found that the department's automated license plate reader (ALPR) cameras generated 161 false stolen-vehicle alerts in two months, with…
A new critique argues that the term 'linear attention' is overused and ambiguous, covering at least six different resource claims that range from constant computation per token to merely reduced KV cache size. The piece,…
Anthropic's Composer 2, a specialized model for agentic software engineering, achieves 61.3 on CursorBench, 61.7 on Terminal-Bench, and 73.7 on SWE-bench Multilingual, marking a major accuracy improvement over previous C…
NexusMem, a local-first persistent memory engine for AI coding agents such as Claude Code, Cursor, and MCP-based agents, records git history, shell commands, docs, and conversation transcripts into an on-disk SQLite data…
Startups are shifting from precision-based robotics to AI-driven perception to teach robots to fold laundry, using neural networks trained on human movement to handle unstructured objects. Mastering laundry is seen as a …
TileRT's persistent engine on NVIDIA GPUs achieves up to 500 tokens/s/user on the InferenceX GLM5 FP8 744B benchmark on a single B200 decode server, approximately 3× faster than GB300 NVL72 running traditional inference …
A developer has reverse-engineered Apple's private APIs to train neural networks directly on the Apple Neural Engine (ANE), bypassing CoreML's inference-only restriction. The project, which uses the _ANEClient and _ANECo…