3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...
You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.
Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...
In 2026, owning a domain won’t just be about staking a claim on the web. It will mean establishing trust, flexibility, and ...
A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.
The next frontier of defense is not in the skies or at sea; it is in the cloud, in our data centers and in the invisible ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Critics often weigh the cost of tuition against the starting salary of a graduate’s first job. But in a world of accelerating ...
8hon MSNOpinion
The History That Suggests an AI Bubble
The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...
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