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Cohere Labs arrives in Seoul for ICML 2026, where AI research intersects with sales and recruiting. The conference serves as a platform for Cohere to convert technical credibility into enterprise deals, following its $50…
ISO/IEC 42001:2023, the first international standard for an Artificial Intelligence Management System (AIMS), requires organizations to formally determine their role as AI producer, provider, or user when scoping their A…
NVIDIA had 74 papers accepted at ICML 2026, with approximately 2,000 accepted papers citing NVIDIA GPUs and 145 citing NVIDIA Nemotron open models. The research highlights open frontier models and AI infrastructure as fo…
Descartes Systems Group acquired Latin American last-mile logistics tech provider Drivin for $30 million to enhance its fleet performance management with AI-driven routing and real-time visibility. The deal, paid in cash…
AMD launched the Ryzen AI Halo workstation at nearly $4,000, offering 128 GB of unified memory for local AI model training and inference. The system is cheaper than Nvidia's DGX Spark but uses year-old technology and fac…
Companies are discovering that AI coding tools, especially agentic workflows, can cost more per month than the salaries of the engineers using them. Uber burned through its entire 2026 AI coding budget in four months, Mi…
Alex Zenla, CTO and co-founder of Edera, advocates for "spite-driven development" to address security flaws in cloud-native infrastructure, arguing that current multi-tenant Linux kernels and consumer-grade GPUs repurpos…
The ARC Prize 2026 awarded its first $37,500 ARC-AGI-3 milestone prize on June 30th to Tufa Labs for 'The Duck,' a small open-source LLM that solves interactive reasoning tasks by writing and running Python code in a liv…
Jerod W. Wilkerson launched a new Leanpub book, 'Agentic Programming: From Prompts to Production: A Path to AI Fluency', which provides a practical roadmap for software developers transitioning from direct coding to desi…
Meta CEO Mark Zuckerberg told employees on July 2 that autonomous AI agents have not accelerated as expected, admitting the company miscalculated on timing after a major restructuring. The admission reflects a broader in…
LlamaIndex released legal-kb, an open-source reference application demonstrating agentic retrieval over legal documents using Index v2. The app provides an agent with filesystem-style tools—retrieve, findFiles, readFile,…
Junyang Lin, former technical lead of Alibaba's Qwen project, criticized hybrid thinking models in AI and advocated for a shift toward agent-based systems. In a talk and subsequent post, he detailed Qwen3's architecture …
A deletion request in an AI system reveals that personal data is not stored in one place but smeared across a fine-tuned model's weights, vector indexes, retrieval snapshots, and evaluation sets, making true erasure a re…
Google researchers Sanjay Ghemawat and Amin Vahdat proposed a 'logical monolith' architecture to decouple code logic from deployment, but critics argue it ignores technical heterogeneity, fault isolation, and organizatio…
Anthropic released Claude Science, a multi-agent AI workbench for reproducible genomics, proteomics, and cheminformatics pipelines. The beta app runs on existing Claude models and integrates over 60 curated skills, inclu…
A developer built an interactive 2D retro action-roguelike game called GPU Survivors that simulates the architectural limits, failure modes, and optimization hyperparameters of running a Large Language Model under load. …
Organizers of the NeurIPS 2026 conference added hidden prompts to papers to catch peer reviewers using generative AI, sparking backlash from researchers who say the tactic erodes trust. The conference bans AI chatbots fo…
A developer built a Grafana AI anomaly detection pipeline after a memory leak went undetected for three days because static CPU thresholds failed. The pipeline converts ML model scores into reliable alerts, addressing al…
A tutorial shows developers how to give AI agents persistent long-term memory using Postgres with the pgvector extension and OpenAI embeddings, eliminating the need for external vector databases. The approach stores conv…
A new blog series on generative AI and deep learning begins by explaining backpropagation and matrix calculus through code, building a three-layer neural network from scratch using NumPy. The series aims to demystify the…