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Stock market turmoil sheds stark light on the opaque AI economy

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, china, nvidia, Stock Market, Stock markets, Technology, UK news, US news, World news

Investors scramble to make sense of a shock Chinese challenge to the dominance of western chipmakersEven for the rollercoaster world of AI, last week was particularly volatile as investors scrambled to keep up with developments that threatened the dominance of the largest western chipmakers.It began with a double whammy. On Monday, the Chinese memory chipmaker […]

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UK’s state investments agency hit by data breach

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, Cybercrime, Data and computer security, financial sector, Investing, Investments, Technology, UK news

Security lapse leaves sensitive information and contact details of 51 government officials exposed for 40 hoursThe public body in charge of the UK’s state investments has been pushed to improve its internal security after a data breach left “high-level management information” publicly accessible for nearly two days.UK Government Investments (UKGI), the agency that manages the

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End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment

ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, Machine Learning, Staff, Technology, Tutorials

In this tutorial, we build an advanced end-to-end time-series forecasting workflow with TimesFM 2.5. We begin by configuring the runtime, installing the required dependencies, detecting available hardware, and generating a realistic multi-store retail dataset with trend, seasonality, pricing, promotions, holidays, temperature effects, and random variation. We then load and compile the TimesFM 2.5 model, examine

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‘More than just objects’: Australian book sellers raise alarm over ‘horrific’ destruction of rare titles to feed AI

ai, AI (Artificial Intelligence), Artificial Intelligence, Australia news, Books, Computing, Culture, Technology, Victoria

Secondhand booksellers believe they may have been caught up in the AI supply chain that sees old books scanned then destroyed“Sometimes books tell you more than the content,” says Tim White, as he lines up carefully dust-jacketed books and pamphlets in plastic sleeves on temporary shelves in Melbourne University’s Wilson Hall.He’s preparing his stall for

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AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Python, Tech News, Technology

AMD released Instella-MoE-16B-A3B, a fully open Mixture-of-Experts language model trained from scratch on Instinct MI300X and MI325X GPUs. The model holds 16B total parameters but activates only 2.8B per token. AMD is publishing weights from every training stage, along with data mixtures, training configs, and inference code. Two systems-level choices carry the release: Gated Multi-head

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Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, Editors Pick, Machine Learning, Staff, Technology, Tutorials

In this tutorial, we explore how NVIDIA Transformer Engine accelerates transformer workloads by combining fused GPU kernels, BF16 computation, and hardware-aware FP8 execution. We begin by installing Transformer Engine and detecting the active GPU architecture so that we can determine whether the runtime supports TE kernels, FP8 tensor cores, or only the pure-PyTorch fallback path.

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China’s tech advances are causing chaos from Silicon Valley to the White House

ai, AI (Artificial Intelligence), Artificial Intelligence, Asia Pacific, china, Silicon Valley, Technology, Trump administration, US foreign policy, US news, US politics, World news

New AI models, advanced robots and specialty computer chips are unsettling markets and the US tech industryOver the past month, a series of advancements in China’s artificial intelligence, chip manufacturing and robotics technologies have rattled financial markets, caused divisions among US tech moguls and left the Trump administration scrambling to respond.Silicon Valley has long pointed

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If you think kids will respect a robot teacher, you have never met a kid | Dave Schilling

ai, AI (Artificial Intelligence), Artificial Intelligence, Education, New York, Robots, Technology, US education, US news

A New York school district has paused plans to bring an android into the classroom. Is this our educational future?What’s more harrowing than sending your child to school? Maybe getting stuck on a city bus that can’t drop below 55 miles per hour or it will explode, but that’s about it. Once your kid hits

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The great British switch-off: how floating retreats, mobile-free pubs and sauna book groups are freeing people from their smartphones

ai, AI (Artificial Intelligence), Artificial Intelligence, Health, Mental health, Mobile phones, Smartphones, Social media ban, Technology

Sick of doomscrolling? From venues with smartphone swear jars to cabins with absolutely no signal, here are the fun and freeing ways to ditch your deviceThere’s a ritual at the start of every event hosted by the Offline Project. Run by Pelé Zachariah, the activities vary – it could be a group walk, a collage‑making class

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Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine Learning, Model Context Protocol (MCP), New Releases, Open Source, Staff, Tech News, Technology

Supabase has open sourced Supabase Evals, its benchmark and framework for testing how well AI agents build using Supabase. It runs coding agents including Claude Code, Codex, and OpenCode against real tasks, such as building a schema, debugging a failed Edge Function, or fixing a broken RLS policy, then scores the result. It powers the

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