Computer Sciences news

Computer Sciences

This deep neural network fights deepfakes

Seeing was believing until technology reared its mighty head and gave us powerful and inexpensive photo-editing tools. Now, realistic videos that map the facial expressions of one person onto those of another, known as deepfakes, ...

Internet

Social media, interactive AI tool can assist in saving lives during disasters, emergencies

A platform to turn the growing sea of social media data into usable and lifesaving information in real time is advancing as more first responders and public safety agencies across the United States engage with the growing ...

Computer Sciences

DistME: A fast and elastic distributed matrix computation engine using GPUs

DGIST announced on July 4 that Professor Min-Soo Kim's team in the Department of Information and Communication Engineering developed the DistME (Distributed Matrix Engine) technology that can analyze 100 times more data 14 ...

Computer Sciences

A new tool for data scientists and biologists and more

The social network Linkedin will tell a user how he/she is connected to another. In real life, points of connection are not always that evident. However, identifying patterns or relationships and commonalities among entities ...

Computer Sciences

At Last, AI beats professionals in six-player poker

An artificial intelligence program developed by Carnegie Mellon University in collaboration with Facebook AI has defeated leading professionals in six-player no-limit Texas hold'em poker, the world's most popular form of ...

Computer Sciences

Hate spoilers? This AI tool spots them for you

Did social media spoil the Avengers' Endgame movie for you? Or maybe one of the Game of Thrones books? A team of researchers from the University of California San Diego is working to make sure that doesn't happen again. They ...

Computer Sciences

A new genetic algorithm for traffic control optimization

Researchers at the University of Technology Sydney and DATA61 have recently developed a new method for optimizing the timing of signals in urban environments under severe traffic conditions. Their approach, presented in a ...