The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

Quantum computing could speed up AI training and inference once the technology matures. IBM's quantum computing track record spans decades, and the company has a clear and impressive quantum roadmap.

Quantum computing promises to disrupt entire industries because it leverages the rules of quantum physics to perform calculations in fundamentally new ways. Unlike traditional computers that process ...

The artificial intelligence era is transitioning to a new phase, one focused on AI inference. Nvidia anticipated this moment, and as a result, its new Blackwell product is seeing strong demand. IonQ's ...

As the industrial sector accelerates toward innovation, the pressure to do so sustainably and cost-effectively has never been greater. From energy-intensive artificial intelligence workloads to ...

Qualcomm Incorporated QCOM recently announced the launch of AI200 and AI250 chip-based AI accelerator cards and racks. The leading-edge AI inference optimized solutions for data centers are powered by ...

Scientists at Cambridge Quantum Computing (CQC) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models.

BEIJING, Oct. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, they announced the development ...

The artificial intelligence investment landscape reached a critical inflection point in Q2 2025, with the ROBO Global Artificial Intelligence Index (THNQ) delivering exceptional returns of 24.4%, ...

Shares of quantum computing pure-play stocks IonQ, Rigetti Computing, and D-Wave Quantum have catapulted higher by as much as 3,060% over the trailing year. On paper, quantum computers offer ...

Cutting-edge artificial intelligence (AI) models are incredibly powerful, but training and running them is computationally intensive. Today's largest AI models require clusters of powerful data center ...