Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business ...

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

Some readers are fed up with me! “Don’t guilt trip me” is a refrain I heard from many readers of my recent columns from West Africa and South Sudan about children dying because of cuts in American ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

Palo Alto, California-based D-Wave Quantum Inc. claims to be the first company that sells computers that leverage quantum effects in their operation. The company recently demonstrated how its quantum ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, and career goals. Electrical engineers face many challenges: dealing with ...