Quantum computers promise to solve problems that would take even the fastest conventional supercomputers a vast amount of time, but the quantum information they store and process is extremely ...

Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

In experiments in which physicians made decisions about treating hypothetical patients, the physicians tended to trust ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. The round for London and New York-based Capsa was co-led by TX ...

This article is part of a package on the future of quantum computing. Read about the quest to develop these machines here and see an illustrated field guide to qubits here. The 21st-century fervor ...

Helman founded Warmür in 2021 and made the first prototype in her living room. She was surprised by the demand, but leaned into it to build her business. Warmür saw $200,000 in sales last year and is ...

Creating self-improving AI systems is an important step toward deploying agents in dynamic environments, especially in enterprise production environments, where tasks are not always predictable, nor ...

The models work. The cloud infrastructure is in place. The data teams are capable. Yet the results from AI are still wanting, and the timelines are slipping. This is not an unusual situation; it is ...

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...