Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The TMS is the perfect platform between a fleet and its data. In the AI boom, that data is key. Here is how TMS providers are ...

One of the latest challenges is the capacity of AI to predict login URLs, posing significant risks to both individuals and organizations. Understanding the Threat The ability of AI to predict ...

The result and technical impact of the machine learning system can be reduced system latency, lower energy consumption, or improvements in computing performance.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...