There are many different kinds of reasoning. Some reasoning is by simple association. If you see very dark clouds coming your way, accompanied by lightning and thunder, you will probably conclude that ...

Believe it or not, emotional reasoning is neither rare nor uncommon. It is present when we feel jealous and conclude that our partner is cheating on us, with no reason or evidence to back this ...

How the technology frustrations of industrial system integrators led to Inductive Automation's Ignition platform and its unlimited licensing and open architecture that continues to adapt with industry ...

Graz, Austria–based Easelink reckons it has a better plan: Matrix Charging still has a vehicle pull in and align itself with a floor pad. But then a conductor extends down and makes magnetic contact ...

When EV owners complain about charging—as many do—they're normally grousing about the frustrations of dealing with the public network, where non-functional chargers and long lines at popular spots are ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Apple’s recent AI research paper, “The Illusion of Thinking”, has been making waves for its blunt conclusion: even the most advanced Large Reasoning Models (LRMs) collapse on complex tasks. But not ...

Bottom line: More and more AI companies say their models can reason. Two recent studies say otherwise. When asked to show their logic, most models flub the task – proving they're not reasoning so much ...

Researchers at Apple have released an eyebrow-raising paper that throws cold water on the “reasoning” capabilities of the latest, most powerful large language models. In the paper, a team of machine ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...