The simulation of quantum systems and the development of systems that can perform computations leveraging quantum mechanical ...

With the continuous advancement of quantum computing technology, the application prospects of quantum algorithms are becoming increasingly broad, especially the Grover algorithm, which demonstrates ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

The initiative seeks to develop scalable, open-source platforms by combining IBM's quantum computing with AMD's HPC and AI ...

In recent years, the field of embodied intelligence has witnessed significant advancements, with applications ranging from autonomous robotics and ...

They mark the onset of the artificial intelligence of things (AIoT), a convergence that embeds cognition into the connected world of the internet of things (IoT). It transforms passive devices into ...

Pune: Students of Pune Institute of Computer Technology (PICT), who built a drone that could operate in a GPS-denied ...

Empowering the design, modeling, and verification of complex 6G systems.

Their ability to handle multiple threads in parallel made them especially suited for application in the SHA-256 algorithm ...

Although recognized as a scientific breakthrough at Fermilab in 1993 and in several international, public scientific reviews (see Sections 3, 6.4, 6.5, 6.6.3, and 10), these inventions have never been ...

In this new quantum-centric supercomputing architecture, quantum computers can work together with powerful HPC and AI ...

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.