anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

This New AI is 100x Faster at Reasoning Than ChatGPT Your email has been sent The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abu Dhabi is home to the Mohamed bin Zayed University of Artificial Intelligence — one example of the UAE's growing investments in establishing a leadership position in AI. The Mohamed bin Zayed ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Artificial intelligence is in an arms race of scale with bigger models, more parameters and more compute driving competing announcements that seem to come out on a daily basis. AI foundation model ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

Oracle founder and Chairman Larry Ellison has outlined the difference between two types of artificial intelligence (AI) models, separating them based on their need for real-time, low-latency ...

Work smarter with AI in 2026 using field-specific prompting, reverse prompts, and self-evaluation loops for faster, clearer results.