In the education space, quantum computing could usher in an entirely new generation of customized AI tutoring, though it ...

AI delivers value by transforming data into usable intelligence—supporting capabilities such as real-time analytics, anomaly detection, predictive maintenance, and automated decision-making. Meanwhile ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Abstract: This paper proposes a simple tiled approach to writing parallel algorithms. It is both easy to grasp by novice programmers, it clearly out-competes the traditional and much more complex ...

Form 13Fs provide a way for investors to track which stocks Wall Street's savviest money managers -- and publicly traded companies -- are buying and selling. Amazon completely exited its stake in the ...

Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers.