Artificial Intelligence (AI)
How AI could speed the development of RNA vaccines and other RNA therapies
Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training a machine-learning model to analyze thousands of existing delivery particles, the researchers used it to predict new materials that would work even better. The model…
Europe’s Top AI Models of 2025: Multilingual, Open, and Enterprise-Ready
Europe’s AI ecosystem in 2025 is a robust arena of open innovation, multilingual capabilities, and enterprise-grade reasoning. Below, we present an in-depth, fact-checked review of the region’s most advanced AI models, with technical specifications, licensing, and standout strengths. Each entry includes links to official model information for further exploration. 1. Mistral AI (France) Founded in…
How We Build AI Apps That Learn From Users in Real Time Without Retaining Their Data
“Hey , Ever get the feeling your apps know a little too much about you?” I had a casual coffee chat the other day, and the conversation drifted to apps and privacy. One friend raised an eyebrow and said, “It’s weird — sometimes these apps remember things I didn’t even realize I told them.” That…
A new way to test how well AI systems classify text
Is this movie review a rave or a pan? Is this news story about business or technology? Is this online chatbot conversation veering off into giving financial advice? Is this online medical information site giving out misinformation? These kinds of automated conversations, whether they involve seeking a movie or restaurant review or getting information about…
Nebius AI Advances Open-Weight LLMs Through Reinforcement Learning for Capable SWE Agents
The landscape of software engineering automation is evolving rapidly, driven by advances in Large Language Models (LLMs). However, most approaches to training capable agents rely on proprietary models or costly teacher-based methods, leaving open-weight LLMs with limited capabilities in real-world scenarios. A team of researchers from Nebius AI and Humanoid introduced a reinforcement learning framework…
Zhipu AI Releases GLM-4.5V: Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Zhipu AI has officially released and open-sourced GLM-4.5V, a next-generation vision-language model (VLM) that significantly advances the state of open multimodal AI. Based on Zhipu’s 106-billion parameter GLM-4.5-Air architecture—with 12 billion active parameters via a Mixture-of-Experts (MoE) design—GLM-4.5V delivers strong real-world performance and unmatched versatility across visual and textual content. Key Features…
The Best Chinese Open Agentic/Reasoning Models (2025): Expanded Review, Comparative Insights & Use Cases
China continues to set the pace in open-source large-language-model innovation, especially for agentic architectures and deep reasoning. Here is a comprehensive, up-to-date guide to the best Chinese open agentic/reasoning models, expanded with the newest and most influential entrants. 1. Kimi K2 (Moonshot AI) Profile: Mixture-of-Experts architecture, up to 128K context,…
AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU
AI in Market Economics and Pricing Algorithms AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics. Unlike human-set strategies in oligopoly models, AI agents, like Q-learning, autonomously learn pricing strategies from data, often resulting in supra-competitive pricing due to agents’ ability to detect rivals’…
AI Agent Trends of 2025: A Transformative Landscape
The year 2025 marks a defining moment in the evolution of artificial intelligence, ushering in an era where agentic systems—autonomous AI agents capable of complex reasoning and coordinated action—are transforming enterprise workflows, research, software development, and day-to-day user experiences. This articles focuses on five core AI agent trends for 2025: Agentic RAG, Voice Agents, AI…
FAQs: Everything You Need to Know About AI Agents in 2025
TL;DR Definition: An AI agent is an LLM-driven system that perceives, plans, uses tools, acts inside software environments, and maintains state to reach goals with minimal supervision. Maturity in 2025: Reliable on narrow, well-instrumented workflows; improving rapidly on computer use (desktop/web) and multi-step enterprise tasks. What works best: High-volume, schema-bound processes (dev tooling, data operations,…