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

Developing machine learning AIs involves a process known as training. In simple terms, this refers to data being fed in in order that the model can learn from patterns and generate useful outputs.

Seven years later, his assessment still holds true. There are many positive and exciting potential applications for AI, but a look at the history shows that machine learning is not the only tool.

The machine-learning industry has shown interest in chip-based neuromorphic computing as well, with a San Francisco–based startup called Rain Neuromorphics raising $25 million in February.

Mister C and the Science Crew learn about simple machines! This episode couldn’t get any more simple. Mister C and the Science Crew are learning about simple machines! We’ll be building a ...

Artificial intelligence (AI) technology allows computers and machines to simulate human intelligence and problem-solving capabilities. Algorithms are part of the structure of AI, where simple ...

“That’s why quantum machine learning may be a good near-term application.” Quantum machine learning tolerates more noise than other kinds of algorithms because tasks such as classification, a staple ...

Dr Tramèr worked with researchers from Google, NVIDIA and Robust Intelligence, a firm that builds systems to monitor machine-learning-based AI , to determine how feasible such a data-poisoning ...