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Google's second generation of its AI mathematics system combines a language model with a symbolic engine to solve complex geometry problems better than International Mathematical Olympiad (IMO) gold ...
Apple researchers have uncovered a key weakness in today's most hyped AI systems – they falter at solving puzzles that ...
Opinion
AI Revolution on MSN2dOpinion
How Grok-1.5 Is Changing AI Problem Solving
More memory. Better logic. Smarter math. Grok-1.5 isn’t just another model—it's a signal that xAI is serious about leading the AI race. And with its release on X (Twitter), it's more accessible than ...
Because of the flexibility of Zhou’s model, it is applicable in a wide variety of real-world scenarios. Death and other occupancies. As Zhou began expanding the applications of his new model for the ...
A fascinating new paper from scientists at the AI research nonprofit LAION finds that even the most sophisticated large language models (LLMs) are frequently stumped by the same simple logic ...
The problems researchers used to evaluate the reasoning models, which they call LRMs or Large Reasoning Models, are classic logic puzzles like the Tower of Hanoi.
A day after Google announced its first model capable of reasoning over problems, OpenAI has upped the stakes with an improved version of its own. OpenAI’s new model, called o3, replaces o1 ...
D-Wave Quantum is working to redefine the competition. If QBTS succeeds, it might vault itself ahead of Rigetti Computing and IONQ. Find out why QBTS is a Buy.
A new study by Apple has ignited controversy in the AI field by showing how reasoning models undergo 'complete accuracy collapse' when overloaded with complex problems.
Despite claims of AI models surpassing elite humans, 'a significant gap still remains, particularly in areas demanding novel insights.' ...
The problem of ‘model collapse’: how a lack of human data limits AI progress on whatsapp (opens in a new window) Save Michael Peel in London. Published July 24 2024.