Tech

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, is the process of choosing the […]

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, epidemiology, and environmental sciences.This post […]

Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So an AI system trained on data from the entire internet won’t work equally well for people from […]

After reviewing thousands of benchmarks used in AI development, a Stanford team found that 5% could have serious flaws with far-reaching ramifications.This post was originally published on this website.

As the world’s reliance on satellites intensifies, so too does the risk of sophisticated cyberattacks targeting space-based systems and critical infrastructure, with almost 240 cyber hacks targeting the space sector in the past two years.This […]

Professor Kijung Shin’s research team at the Kim Jaechul Graduate School of AI has developed an AI technology that predicts complex social group behavior by analyzing how individual attributes such as age and role influence […]

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost and environmental impact […]

Realistic digital avatars are becoming increasingly relevant, for example in virtual and augmented reality applications, video conferencing, films and computer games, or in medicine. Researchers at the Max Planck Institute (MPI) for Informatics in Saarbrücken, […]

Developing chips that simulate how the brain works has great promise for AI, robotics, and other fields. But making them so that they’re scalable while providing repeatable results has proven tricky. Now, a Yale-led team […]

Modern neural networks, with billions of parameters, are so overparameterized that they can “overfit” even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.This post was originally published on […]