Introduction Over the past ten years, artificial intelligence has advanced significantly, particularly with the development of large-scale neural networks. These days, models can produce images, write essays, and even help with coding. But even with these remarkable abilities, contemporary AI systems still have significant drawbacks. Their reasoning, consistency, and ability to generalize beyond the data they were trained on are frequently problematic. In order to overcome th

AI companies are recruiting improv actors to help train chatbots to understand human emotions and natural conversation. By recording real, unscripted interactions, performers are helping AI models learn the emotional cues that machines still struggle to recognize.

Researchers introduce Dive, a framework that trains AI agents using diverse and verifiable tasks, significantly improving how large language models interact with external tools and complex workflows.

Perplexity Just Launched an AI That Can Control Your Mac — And It Could Change Work Forever

A new research framework called HyMEM introduces hybrid structured memory for GUI AI agents, enabling systems to remember past interactions, improve decision-making, and perform complex tasks more reliably.

A new research framework called the Agentic Control Center proposes using autonomous AI agents to continuously monitor and optimize data products. The system combines multi-agent collaboration, event-driven optimization, and human oversight to improve data quality and analytics infrastructure.

Integral AI, founded by former Google AI researchers, is working to integrate advanced machine learning with Japan’s robotics industry. By enabling robots to learn through observation and verbal instructions, the startup aims to create autonomous machines capable of performing complex tasks in factories, warehouses, and everyday environments.

The Pentagon has labeled AI company Anthropic a “supply chain risk” after disagreements over the military use of its Claude AI technology. The dispute highlights growing tensions between ethical AI development, national security priorities, and the role of Silicon Valley in defense innovation.

Explore how machine learning is revolutionizing scientific modeling, improving predictions, and accelerating discoveries across multiple research fields.

Apple’s push to reinvent Siri with generative AI may involve an unexpected partner: Google. Reports suggest Apple could rely on Google’s server infrastructure to power next-gen Siri features, highlighting the scale, cost, and complexity of the modern AI race.