Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

The paper from Bjørnar Luteberget and Giorgio Sartor of SINTEF, one of Europe's largest independent research institutes, presents the "Feasibility Jump" algorithm that accelerates the time for finding ...

If you’re in recruiting, you know that AI is thrown around a lot. AI in recruiting is no longer a concept to keep an eye on for the future. It’s ...

In the dynamic landscape of modern manufacturing, innovation is no longer optional – it’s a necessity. Deepak Bajaj’s ...

As already alluded to, one of the main uses for HDLs is backtesting, a cornerstone of financial strategy development. With ...

The electronics industry can learn valuable lessons from how software engineers have integrated AI into their development ...

Trusting which data to use and what can be deleted still requires human oversight; startups are at a disadvantage.

On top of all these advances, there is also blockchain technology that is starting to emerge as a transformative force in ...

Now, a couple of weeks since DeepSeek’s big moment, the dust has settled a bit. The news cycle has moved on to calmer things, ...