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Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines

Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM judges, Ontology 1 reached a mean precision@10 of 0.630, against 0.543 for Google Shopping and 0.469 for Amazon. It did this while indexing roughly 1% […]

Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines Read More »

A Tutorial on GeoAI: Designing Footprint Extraction from NAIP Imagery Using U-Net, Grounding DINO, SAM, and Mask R-CNN

In this tutorial, we design a complete GeoAI workflow for extracting building footprints from high-resolution NAIP aerial imagery. We begin by configuring the geospatial deep learning environment, downloading raster imagery and vector labels, and inspecting their spatial properties before generating georeferenced image chips and segmentation masks. We then train a U-Net model with a ResNet-34

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What do you wish you could buy in vending machines?

The long-running series in which readers answer other readers’ questions commits the cash and presses the buttons on a vital consumer dilemmaRead this week’s replies: What is the true Breakfast of Champions?I’ve heard that in Germany you can buy sausages in vending machines. What should be sold in machines that isn’t offered at the moment?

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Stock market turmoil sheds stark light on the opaque AI economy

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

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

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

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

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

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

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

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.

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

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

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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