Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

In the supply chain, we say people are our greatest asset. But the moment metrics falter, we turn to cost cuts, not care. We ...

New research has cast doubt on whether today's advanced artificial intelligence models are truly capable of deep reasoning.

As algorithms watch us, our inner witness—the self-observer—risks being replaced by performance. Reclaiming it may be key to ...

This letter considers the model discrimination problem for switched nonlinear systems, where the switching sequence is constrained by metric/signal temporal logic specifications. Specifically, we ...

Quantum researchers finally captured the field’s “holy grail,” showing real machines can beat classical computing ...

A research team has achieved the holy grail of quantum computing: an exponential speedup that’s unconditional. By using clever error correction and IBM’s powerful 127-qubit processors, they tackled a ...

Imagine a world where machines not only obey commands but also think, learn, and adapt—where the line between imagination and intelligence blurs with each click and keystroke. The story of artificial ...

Hello! I have some questions about logic of the algorithm, which is implemented directly in the code: Why do you use the same model to optimize and get responses at the evaluation stage ...

Genetic-algorithm-pid-controller-tuner is an example of using a genetic algorithm to tune a PID controller. A PID controller is any controller that uses a combination of integral, proportional, and ...