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AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
MLflow for LLM: prompt versioning and regression testing
Development and deployment of large language models (LLM) is a complex task requiring not only significant computational resources but also effective tools for management and quality control.
ByteDance Released Protenix-v1: Open-Source Model for Biomolecular Structure Prediction
ByteDance, known for its developments in artificial intelligence, has presented Protenix-v1, an ambitious open-source project aimed at reproducing the capabilities of AlphaFold3 (AF3) in the field of…
PaperBanana: Google Taught Neural Networks to Generate Publication-Quality Charts
You've ever seen a PhD student cry before a Nature or Science deadline? Usually it happens at three in the morning, when the Matplotlib package once again refuses to align the chart legend, and the…
Waymo World Model: Google's autonomous vehicles now train in their own 'Matrix
Autonomous driving has always hit the same wall: reality is predictable in 99% of cases and frighteningly chaotic in the remaining one percent.
Claude Opus 4.6: Anthropic teaches neural networks to think slowly and work for you
While the industry stands frozen waiting for OpenAI's next major move, Anthropic continues methodically capturing territory in professional AI adoption.
GPT-5.3-Codex: OpenAI Transforms Coding Into an Autonomous Process (and Does It Faster)
Remember when Copilot seemed like the pinnacle of technological progress? OpenAI has just proven that was only the beginning.
Voxtral Transcribe 2: Mistral reminded us why we still need European neural networks
While everyone was waiting for Mistral to release another iteration of a large language model, the French decided to come in from the side and strike at the speech recognition market.
Gemini 3 Flash: Google teaches neural networks not to guess, but to examine closely
Have you ever noticed how modern neural networks behave when analyzing complex images? It's like a nearsighted person trying to make out a bus number from far away: if they can't see the digits…
Qwen3-Coder-Next: 80 billion parameters that fit on your PC
The AI industry right now looks like an arms race, where whoever has the bigger GPU cluster wins. But while giants like OpenAI and Google measure themselves by cloud computing power, the Chinese Qwen…
Offline Learning Without Sacrifices: How Conservative Q-Learning Saves Budgets and Lives
Imagine teaching a surgical robot to perform operations or an autonomous vehicle to navigate through dense traffic. In classical Reinforcement Learning, an agent learns through trial and error.
Armor for Neural Networks: Why Your LLM Needs More Than One Security Filter
Let's be honest: modern large language models are surprisingly easy to trick. It seemed just yesterday that composing a list of "forbidden words" would make your chatbot a paragon of virtue.
Zero-padding: why extra zeros cost your neural networks too much
Imagine you're building a house, but every time you reach the edge of the lot, you pour concrete just for symmetry. In the world of computer vision, we've been doing exactly that for about ten years.
Nemotron-3-Nano-30B: NVIDIA Taught 4-Bit Models to Think Like Adults
Remember when running a decent language model required a server rack and a small nation's budget? Those days are rapidly becoming history.
Generative UI: Why Chat-Bots Are the Dead End of Interface Evolution
Look at any modern AI service, and you'll almost certainly see the same picture: a rectangular chat window and a blinking cursor.
HPC-Ops from Tencent: Chinese Software Squeezes Maximum from American Hardware
While the world debates whose model is smarter, engineers at Tencent decided to tackle a grounded but far more critical problem — how to stop burning budgets on inefficient computations.
Haystack and Multi-Agents: How to Stop Being On-Call at Night and Start Living
Imagine three in the morning and a piercing sound of a pager announcing that your production has decided to take an unplanned vacation.
NVIDIA Earth-2: Meteorological Supercomputers Go Retirement
Remember the times when the phrase "tomorrow it might rain" sounded like fortune-telling with coffee grounds, backed up by a week of calculations on a state supercomputer the size of a hangar?
AutoGluon: Automating Machine Learning for Industrial Tabular Models
In the modern world of machine learning, where data volumes grow exponentially and requirements for speed and efficiency in model development become increasingly stringent, automation plays a key…
Salesforce AI Presented FOFPred: Managing Robots with Language
Salesforce AI continues to surprise with innovations in the field of artificial intelligence, presenting FOFPred – a revolutionary framework that leverages the power of language to predict object…
Inworld AI Introduces TTS-1.5: Next-Generation Voice for AI Agents
Inworld AI, a company known for its developments in creating virtual characters and AI agents, has introduced a new version of its text-to-speech system – Inworld TTS-1.5.