These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Social media company X has taken an uncommon step in an industry known for secrecy by publicly releasing the source code ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

Companies should apply a step-by-step portfolio management approach when it comes to AI. They should view the connected ...

We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...

After decades of vendor-dictated upgrades and monolithic gridlock, agentic AI is ushering in a new era of enterprise autonomy ...