Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Automated image colorization might be the most dramatic AI enhancement feature in visual effects. It predicts the original colors that should be present based on black-and-white images, resulting in ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

Researchers at Sandia National Laboratories have developed a brain-inspired autoencoder AI that detects both physical disruptions and cyberattacks on the power grid in real time. The system runs on ...

Ziwei Zhu, Assistant Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “III: Small: Harnessing Interpretable Neuro-Symbolic Learning for ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

Sonic, Shadow, and Knuckles racing in Sonic Racing: CrossWorlds / Image via Sega SEGA has officially announced an upcoming Open Network Test for Sonic Racing: CrossWorlds. If you are hyped for the ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...