1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Hunyuan-MT-7B came first in 30 out of the 31 tests in a general machine-translation competition held as part of the coming WMT25 conference.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Walking into an office building and handing the receptionist your resume is no longer enough. Today, millions of job seekers rely on digital platforms like Indeed, JobSeeker, and FlexJobs to find jobs ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You likely have a world model running inside your skull right now — it’s how you ...

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

In July, EPFL, ETH Zurich, and CSCS announced their joint initiative to build a large language model (LLM). Now, this model ...

Artificial intelligence (AI) benefits many industries but is limited by the so-called "curse of dimensionality," which arises ...

If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck. This simple way of reasoning, ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...