#Machine Learning
Neural Network vs. Combinatorics: The CayleyPy Project Transforms Complex Puzzle Solving
Researchers from the CayleyPy project demonstrated that combining neural network heuristics with Beam Search can outperform established classical algorithms on 4×4×4 cubes and the Megaminx, marking a mathematical breakthrough.
Alibaba представила QwenGyre: решение проблемы простоя GPU при обучении сложных ИИ-агентов
Новый фреймворк QwenGyre от исследователей Alibaba, Университета Цинхуа и USTC устраняет вычислительные задержки при обучении автономных агентов на сверхдлинных задачах, ускоряя процесс почти в два раза.
The Evolution of Attention in LLMs: How Engineers Scale Context to Millions of Tokens
We explore why the era of pure Multi-Head Attention is over and how a combination of MLA, learned sparsity, history compression, and FlashAttention 4 enables models to efficiently process ultra-long contexts.
The Limits of Drosophila Intelligence: How a Fly’s Digital Brain Handles Mazes, Games, and Vision
Experiments with the Drosophila connectome reveal the boundaries of biological associative learning and demonstrate why a digital replica of an insect brain falls short of basic machine learning algorithms.
ИИ на базе AWS помог Vinasoy сократить дефицит продукции на полках на 20%
Вьетнамский производитель соевого молока Vinasoy оптимизировал контроль розничной выкладки с помощью сервисов AWS, ускорив аудит витрин в 20 раз.
How to Cleanse Master Data with AI: Real Case Studies and Multi-Million Procurement Savings
Chaos in corporate master data quietly drains up to 20% of procurement budgets. We examine the practical application of the SOFROS AI/ML platform, which reduces duplicates by up to 98% and accelerates item processing hundreds of times over.
Как алгоритмы McDonald’s рассчитывают стоимость бургеров для каждого ресторана
Сеть фастфуда McDonald’s внедрила проприетарную систему машинного обучения, которая анализирует миллионы чеков и конкурентную среду, чтобы предлагать оптимальные цены франчайзи.
Why High Benchmark Scores Do Not Prove AI Intelligence: The Asymmetry Principle in Neural Network Testing
Even a 95% accuracy score on tests does not guarantee that a language model can reason. We explore why a single precise counterexample outweighs a dozen benchmarks in AI evaluation and how the industry is shifting toward vericoding.
How VK Taught the Feed to Sell: 43-fold growth in orders through a separate recommendations contour
VK has created a specialized contour for product posts that can distinguish interest in content and the intention to buy. The result is 53% growth in the conversion of impressions to orders, and 43 times for the orders themselves.
Combe Adopts Oracle Fusion to Revolutionize Global Supply Chain with AI
Consumer goods leader Combe is implementing Oracle Fusion alongside Accenture Edge to unify ERP systems and deploy embedded AI for predictive planning, procurement, and demand forecasting across its worldwide operations.
NVIDIA and Over 100 Partners Launch Open Platform to Ensure Safe AI Agents
NVIDIA has introduced an open AI agent safety platform with more than 100 partners. The solution uses OpenShell runtime sandboxing and BlueField hardware monitoring to stop agents from escaping controls or deviating from intended actions.
Dragonfly Eye with AI: How a Solo Researcher Can Assemble Cross-Disciplinary Knowledge Without Chaos
The 'Dragonfly Eye' technology allows a single person with the help of artificial intelligence to effectively collect knowledge from different areas. It starts with defining boundaries, normalizing objects into taxons and controlled transfer between facets.