When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

As demand for medical care continues to grow, artificial intelligence is becoming the front door to healthcare as AI assistants are available instantly and translate medical terminology into plain | ...

Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative advances ...

The Iran war is testing America's ability to combat swarms of cheap drones that have become a staple of the modern battlefield after Ukraine and Russia demonstrated how effective they can be.

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

Artificial intelligence and machine learning are enablers, making space for humans to do more important things, like close the insurance protection gap. That was the word from Natanje Holt, DXC ...

The semiconductor industry is evolving with quantum imaging and AI-driven technologies, enhancing defect detection and ...

Azul filed for Chapter 11 in May 2025 and exited the process on schedule on Feb. 20, after securing $850 million in new investments, including $100 million from United Airlines and a $100 million ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...