Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A research team at Google, co-led by Harvard Professor Michael Brenner, has developed an artificial intelligence system called Empirical Research Assistance (ERA) that automatically writes scientific software outperformi…
Banks are increasingly using AI-based fraud detection systems that can block legitimate customer payments in milliseconds, according to a report from The Conversation. The systems evaluate transactions using dozens of fe…
Roboflow has introduced a serverless streaming pipeline that enables real-time object detection in a web browser without requiring large client-side downloads or complex backend infrastructure. The system uses WebRTC to …
Machine learning teams are adopting visual debugging tools to gain real-time visibility into model internals during training, addressing the common problem of silent failures like vanishing gradients and overfitting that…
A new open-source project called WAVE has introduced a vendor-neutral GPU instruction set architecture that allows developers to write GPU code once and run identical binaries on NVIDIA, AMD, Apple, and Intel hardware. T…
In 2026, adversaries are integrating artificial intelligence across the entire cyber attack lifecycle, using automated reconnaissance, AI-generated phishing, and adaptive malware to scale and customize operations at unpr…
Researchers at the University of California Davis have developed a spectrometer-on-a-chip the size of a grain of sand that uses artificial intelligence and 16 specialized silicon sensors to analyze light and chemicals wi…
A 21-year CTO and Ph.D. in computer science released three of six planned episodes in an educational AI video series, paired with a Creative Commons-licensed GitHub repository of scripts and artifacts. The project, built…
Python developers processing billions of rows or running distributed machine learning pipelines now have seven specialized libraries—including PySpark, Dask, and Polars—that handle datasets exceeding single-machine memor…
KlongPy now supports a PyTorch backend that enables GPU acceleration and automatic differentiation for gradient-based computations. The torch backend outperforms NumPy by up to 8x on large arrays and provides exact gradi…
Anthropic researchers developed BioMysteryBench, a new bioinformatics benchmark that tests Claude's ability to analyze real-world biological datasets and solve open-ended research problems. The benchmark revealed that Cl…
James Brocklebank, co-chair of private equity firm Advent International, has built an artificial intelligence tool trained on 13 years of the firm's investment committee papers that can analyze new deals and challenge as…
A developer argues that current LLM benchmarks like MMLU, HumanEval, and SWE-bench measure only knowledge recall and one-shot task completion, not the behavioral traits—such as debugging, adaptation, and cross-session le…
An international research team led by Flinders University and Khalifa University has developed an artificial intelligence system that acts as a "smart materials discovery engine" to rapidly identify new gallium-based sem…
Prompter, a new terminal-based tool for Ollama, enables users to compare and benchmark multiple AI models side-by-side using a single Python file. The tool offers structured evaluation modes including self-review loops, …
GeekyAnts published two deep dives exploring AI implementation and explainability in insurance workflows, highlighting that a model with 99 percent accuracy is useless if compliance teams cannot audit its decision-making…
SS&C Technologies built an AI cloud-as-a-service platform for real-time and batch processing of GPU workloads inside its private data centers, enabling engineers to consume GPU resources without breaking compliance or re…
TileLang introduces a middle-ground approach for writing high-performance GPU kernels, offering explicit control over shared memory allocation, pipeline staging, and warp partitioning through Python code while automating…
SkillOpt introduces a method for improving AI agent performance by treating skills as external state, allowing a frozen agent to be evaluated on scored batches while a separate optimizer model proposes structured edits. …
DeepSeek researchers introduced manifold-constrained hyper-connections to restore the identity mapping property in transformer architectures, addressing training instability and scalability issues caused by standard hype…