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 ...

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...

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 ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

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 ...

Data breaches resulting from a recent supply chain attack to Salesloft Drift are being reported by Palo Alto Networks, Zscaler, and Cloudflare. Palo Alto Networks says it had experienced a data breach ...