#Research
Curated coverage on «Research»: releases, research, benchmarks, open-source.

Import AI: 2 GW Data Centers and Control Over Superintelligence
The new issue of Import AI examines the construction of 2 GW data centers, regulatory risks, and ways to counter a hypothetical superintelligence.

Indian startup Sarvam unveiled a powerful lineup of open-source AI models
Sarvam AI's new 30B and 105B parameter models are intended to demonstrate the effectiveness of open-source software in building national AI models.

Robots That Predict the Future: How AI Is Learning to See Tomorrow
Humanity survived for centuries thanks to its ability to anticipate events. Now robots of a new generation are taking on this fundamental role.

NVIDIA Nemotron 2 Nano 9B: a new standard for sovereign AI in Japan

From generation to simulation: how AI agents gain memory and will

Gary Marcus vs. Nature: Why rumors of AGI's arrival are premature

Anthropic introduces Claude 4.6 Sonnet with a 1 million-token context window

Meta restricts the use of OpenClaw over security concerns
Security experts are urging caution with the new AI tool OpenClaw, known for its unpredictability.

2026 Responsible AI Report: Key Achievements and Safety Challenges
A global report on progress in responsible AI for 2026 has been published. Learn about new standards for safety, transparency, and ethics in today's industry.

Crisis of Trust: Why Multi-Agent AI Systems Break Down in Practice

Semantic computer with 64 neurons: AI revolution without powerful GPUs

Comparing LLM Embeddings, TF-IDF, and Bag-of-Words in Scikit-learn

Cohere released the Tiny Aya family of open multilingual models

Transformer Architecture Without Library Magic: A Step-by-Step Implementation in NumPy
A fundamental breakdown of modern AI architecture. Learn how to write and train a mini-transformer from scratch without using ready-made frameworks like PyTorch.

Guide to Feature Stores: The Foundation of Modern ML Infrastructure
Learn why feature stores have become a critical element for scaling neural networks and which tools dominate today's fast-growing MLOps market.









