While this PR (#2847) introduces initial support for inferring types from typing.Any based on return literals has limitations. In particular, it currently defaults the return types of expressions. For ...

If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...

Map neural patterns to symbolic representations and integrate a lightweight Scheme API for logic inference. Define tensor shapes [n_symbols, d_pattern, d_prob]. Provide unit tests for symbol grounding ...

Earlier this month, 36 sharp-witted high school students from around the globe stepped foot on the warm and breezy campus of Stanford University. Out of more than 4,000 students from more than 2,000 ...

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 ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Beneath the spectacle of an action-packed vampire movie, the film has plenty to say about what is sacred and what is profane. By Maya Phillips This article contains detailed spoilers. Ryan Coogler’s ...

Large language models (LLMs) like OpenAI’s o3, Google’s Gemini 2.0, and DeepSeek’s R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code ...

Many theories and tools abound to aid leaders in decision-making. This is because we often find ourselves caught between two perceived poles: following gut instincts or adopting a data-driven approach ...