No technology on its own is good or bad; it just depends on what type of problem you want to solve. At the end of the day, programming is just that: problem solving by means of using a computer.

More information: Daniel Lersch et al, SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver, Machine Learning: Science and Technology (2025). DOI: 10.1088/2632-2153 ...

“Once we found really good ways of solving the flight gate assignment problem, we transferred the algorithms and improvements to these problems we are looking at for particle tracking, both at ...

The problem asks how much material can flow through a network from a source to a destination if the links in the network have capacity limits. The new algorithm is “absurdly fast,” said Daniel ...

The distinction between “now the algorithm is working normally” and “now the algorithm is shadowbanning me” is all in the brain of the beholder. It makes no sense. It’s not reality.

Over the past year, machine learning and artificial intelligence technology have made significant strides. Specialized algorithms, including OpenAI's DALL-E, have demonstrated the ability to ...

As AI technology becomes more prevalent in the workplace, professionals skilled in computational thinking will be vital. Newsletters Games Share a News Tip Featured ...

Once implanted, pill-sized sensors can send electrical signals from the cerebral cortex, a part of the brain associated with memory, language, problem-solving and thought, to a custom-made AI ...