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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…
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 …
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…
The Agentic AI Foundation (AAIF) launched an Ambassador Program, requiring participants to produce one public contribution per month—such as tutorials, talks, or blog posts—tied to AAIF open source projects like Goose, M…
HVTracker launched a trust registry for open-source AI agents, ranking projects like Dify, LangChain, and OpenClaw by metrics including GitHub stars, forks, and activity. The platform aims to help developers evaluate and…
Confluent Cloud has launched new capabilities to integrate Retrieval-Augmented Generation (RAG) and generative AI into Customer 360 architectures, shifting from traditional batch-based systems to real-time, event-driven …
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…
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…
Federal law enforcement agencies, including the Department of Homeland Security and FBI, have begun surveilling a newly designated category of "anti-tech extremists" following attacks on AI executives, protests at data c…
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…
Google is previewing a new Content Detection API for its SynthID AI watermarking technology, allowing businesses to identify AI-generated images from Google and other popular models. The API, available on Google Cloud’s …
A developer has built an end-to-end Retrieval-Augmented Generation (RAG) pipeline using LangChain, Milvus, reranking, and Azure OpenAI to reduce hallucination in large language models. The system retrieves relevant docum…
Cloud meeting recorders from companies like Otter.ai and Fireflies.ai capture and process audio from all meeting participants, not just the user who activated the tool, raising significant privacy and legal concerns. Cla…
Researchers have developed Contrastive Decoding Diffing (CDD), a method that recovers verbatim facts from finetuned language models using only output-level logit distributions, without requiring access to model weights o…
Researchers have developed ThriftAttention, a mixed-precision attention algorithm that selectively computes only 5% of query-key blocks in FP16 precision while processing the remaining 95% in FP4, recovering 89.1% of the…
Weekly crypto code commits have fallen roughly 75% since early 2025, dropping from about 850,000 to 210,000, while active developers declined 56% to around 4,600, according to data from analytics platform Artemis. The co…
Espressif has launched two new development kits for its dual-core RISC-V ESP32-S31 chip, designed for advanced IoT and edge AI applications. The ESP32-S31-Function-CoreBoard-1 offers 16 MB of PSRAM, wired Ethernet, and a…
Google News Map, a project that scrapes Google News data to display headlines on a world map, has been relaunched by its creator after a 20-year hiatus. The original project led to the creator's hiring by Google in 2004,…
Artificial intelligence tools that replace human activity risk systematically deskilling people by creating "capacity-hostile environments" that undermine the development and exercise of human abilities. A new philosophi…
The University of Toronto's Computational Social Science Lab released and open-sourced Maia-3, a chess engine that predicts human moves rather than optimal ones, on Tuesday. The model achieves a 57.1% prediction accuracy…