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AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied.

Since the 1940s, the meaning of the term 'artificial intelligence' has evolved significantly, as its applications have multiplied and its underlying mechanisms have become more sophisticated. Le Monde ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

The Torque Vectoring Market is expected to surge from USD 11.1 billion in 2025 to USD 42.3 billion by 2034, driven by a CAGR ...

In a world where search engines and AI chatbots serve up instant answers, brands struggle to stand out and truly connect.

Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

Cutting through complexity for smarter enterprise AI adoptionIssued by icomm for Datacentrix HoldingsJohannesburg, 08 Jul 2025Visit our press officeEnterprise AI adoption. (Image: Datacentrix) When it ...

True randomness can make software programs safer, help prediction models operate better. But for decades, it simply didn’t seem possible. That has now changed.

Digital image processing (DIP) algorithms used in consumer electronics products have high computational complexities. Therefore, in this paper, we propose a novel low complexity 2D adaptive DIP ...

These incremental obfuscated words make the filtering speed slow down and the throughput decrease. This paper addresses the challenging throughput issue and proposes a constant time complexity ...