Armonk-based IBM wants to expand the Quantum computer facilities on its campus on South Road in the Town of Poughkeepsie by constructing approximately 511,710 square feet of new buildings. The ...

Artificial intelligence has moved from the research lab into the boardroom, the data center and virtually every business function in between. Nearly 80 percent of organizations now use AI in at least ...

Here’s what you’ll learn when you read this story: Current quantum computers don’t possess enough qubits to crack classical encryption methods, but a flurry of new research suggests that the threshold ...

Wall Street broker Bernstein said the rise of quantum computing poses a credible but manageable threat to Bitcoin and the broader crypto ecosystem, as recent breakthroughs compress timelines for ...

D-Wave's products are already being utilized in the industry. D-Wave is losing money, but it has plenty of cash to fund its operations for the next few years. While artificial intelligence (AI) is all ...

Anthropic on Tuesday released a preview of its new frontier model, Mythos, which it says will be used by a small coterie of partner organizations for cybersecurity work. In a previously leaked memo, ...

Meta Platforms Inc. plans to release open-source versions of its next-generation artificial intelligence models, Axios reported today. The company debuted its most capable neural network last April.

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. At the centre of the project is Lloyds’ growing internal ...

Abstract: Quantum convolutional neural networks (QCNNs) are a highly appealing architecture that combines quantum computing and deep learning. Inspired by classical convolutional neural network (CNN) ...

Abstract: Quantum Artificial Intelligence (QAI) represents the convergence of quantum computing and machine learning, aiming to harness the computational power of quantum mechanics to enhance the ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a study published in Physical Review Letters, a team led by Prof. Peng Xinhua and ...