AI forecasting model targets healthcare resource efficiency
An operational AI forecasting model developed by Hertfordshire University researchers aims to improve resource efficiency within healthcare.Public sector organisations often...
AI News
Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries
Google DeepMind team has introduced Aletheia, a specialized AI agent designed to bridge the gap...
Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy
Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up...
State-Sponsored Hackers Exploit AI in Cyberattacks: Google
State-sponsored hackers are exploiting highly-advanced tooling to accelerate their particular flavours of cyberattacks, with threat actors from Iran, North Korea,...
How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation
In this tutorial, we fine-tune a Sentence-Transformers embedding model using Matryoshka Representation Learning so that the earliest dimensions of the...
NanoClaw solves one of OpenClaw's biggest security issues — and it's already powering the creator's biz
The rapid viral adoption of Austrian developer Peter Steinberger's open source AI assistant OpenClaw in recent weeks has sent enterprises...
Chinese hyperscalers and industry-specific agentic AI
Chinese hyperscalers have defined a distinct trajectory for agentic AI, combining language models with frameworks and infrastructure tailored for autonomous...
Alibaba Open-Sources Zvec: An Embedded Vector Database Bringing SQLite-like Simplicity and High-Performance On-Device RAG to Edge Applications
Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads....
OpenAI's new Codex app hits 1M+ downloads in first week — but limits may be coming to free and Go users
In a major milestone for the "AI coding wars," OpenAI CEO Sam Altman confirmed on X that the company's standalone...
What AI can (and can’t) tell us about XRP in ETF-driven markets
For a long time, cryptocurrency prices moved quickly. A headline would hit, sentiment would spike, and charts would react almost...
ByteDance Releases Protenix-v1: A New Open-Source Model Achieving AF3-Level Performance in Biomolecular Structure Prediction
How close can an open model get to AlphaFold3-level accuracy when it matches training data, model scale and inference budget?...
How to Design Production-Grade Mock Data Pipelines Using Polyfactory with Dataclasses, Pydantic, Attrs, and Nested Models
In this tutorial, we walk through an advanced, end-to-end exploration of Polyfactory, focusing on how we can generate rich, realistic...
What the OpenClaw moment means for enterprises: 5 big takeaways
The "OpenClaw moment" represents the first time autonomous AI agents have successfully "escaped the lab" and moved into the hands...
How separating logic and search boosts AI agent scalability
Separating logic from inference improves AI agent scalability by decoupling core workflows from execution strategies.The transition from generative AI prototypes...
NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classification, dense prediction, segmentation workloads at scale
How do you combine SigLIP2, DINOv3, and SAM3 into a single vision backbone without sacrificing dense or segmentation performance? NVIDIA’s...
How recruitment fraud turned cloud IAM into a $2 billion attack surface
A developer gets a LinkedIn message from a recruiter. The role looks legitimate. The coding assessment requires installing a package....
Moving experimental pilots to AI production
The second day of the co-located AI & Big Data Expo and Digital Transformation Week in London showed a market...
Mistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
Automatic speech recognition (ASR) is becoming a core building block for AI products, from meeting tools to voice agents. Mistral’s...
The ‘brownie recipe problem’: why LLMs must have fine-grained context to deliver real-time results
Today’s LLMs excel at reasoning, but can still struggle with context. This is particularly true in real-time ordering systems like...
Governance and data readiness enable the agentic enterprise
While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI &...
A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data
In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live...
Databricks' serverless database slashes app development from months to days as companies prep for agentic AI
Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a...
