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Muse Spark was competitive with models from OpenAI, Google and Anthropic in language, but lagged in codingSign up for the Breaking News US email to get newsletter alerts in your inboxMeta on Wednesday unveiled Muse Spark, the first artificial intelligence model from a costly team it assembled last year to catch up with rivals in
Meta debuts new AI model in first test of costly ‘superintelligence’ team Read More »
New York Times report claims London-born Adam Back is creator of the cryptocurrency after comparing writingsA British computer scientist has insisted he is not the elusive developer of bitcoin, after a report claimed to unmask him as its creator.A story in the New York Times details a years-long effort to unmask Satoshi Nakamoto, the mysterious
British computer scientist denies he is bitcoin developer Satoshi Nakamoto Read More »
Floss without the faff with our expert-tested water flossers, from travel-size models to countertop jets• The best electric toothbrushes, testedThere isn’t much I miss from my pre-Invisalign “gappy teeth” days, but it was far more difficult for food and plaque to get stuck in the gaps – something I took for granted at the time.
The best water flossers in the UK, tested for that dentist-clean feeling Read More »
Housing corporations are adopting rainwater storage in garden fences, reducing pressure during downpours and preserving water for times of droughtGood fences make good neighbours – but rain fences could make even better ones.That is the hope of housing corporations in the Netherlands, which are adopting rainwater storage in their garden fences. Continue reading…
Artificial intelligence company cites high energy costs and regulation as reasons for putting Stargate project on holdOpenAI has put plans for a landmark project to strengthen the UK’s AI capabilities on hold, citing high energy costs and regulation.Stargate UK was a part of the landmark UK-US AI deal announced last September, in which US companies
OpenAI pulls out of landmark £31bn UK investment package Read More »
A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form increasingly complex decision boundaries. For this to work effectively, layers must preserve meaningful spatial information — particularly how far a data point lies from these boundaries — since this distance enables deeper layers to build
Sigmoid vs ReLU Activation Functions: The Inference Cost of Losing Geometric Context Read More »
In this tutorial, we explore how to use Google’s LangExtract library to transform unstructured text into structured, machine-readable information. We begin by installing the required dependencies and securely configuring our OpenAI API key to leverage powerful language models for extraction tasks. Also, we will build a reusable extraction pipeline that enables us to process a
Writing a research paper is brutal. Even after the experiments are done, a researcher still faces weeks of translating messy lab notes, scattered results tables, and half-formed ideas into a polished, logically coherent manuscript formatted precisely to a conference’s specifications. For many fresh researchers, that translation work is where papers go to die. A team
In this tutorial, we explore ModelScope through a practical, end-to-end workflow that runs smoothly on Colab. We begin by setting up the environment, verifying dependencies, and confirming GPU availability so we can work with the framework reliably from the start. From there, we interact with the ModelScope Hub to search for models, download snapshots, load
Training AI agents that can actually use a computer — opening apps, clicking buttons, browsing the web, writing code — is one of the hardest infrastructure problems in modern AI. It’s not a data problem. It’s not a model problem. It’s a plumbing problem. You need to spin up hundreds, potentially thousands, of full operating
