The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

The field of quantum computing is rapidly advancing, but effectively measuring this progress has become a significant challenge. Researchers Tobias Rohe, Federico Halberstädter Ruiloba, and Sabrina ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Your AI might look smart on benchmarks but could be brittle in the real world, leading to unexpected failures and eroding ...

S&P 500, Microsoft Corporation, International Business Machines, Honeywell International Inc. Read 's Market Analysis on Investing.com ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more efficient approach for specific applications. The authors behind a ...