TL;DR: OpenAI’s new o1 model marks a significant leap in AI reasoning capabilities but introduces critical risks. Its reluctance to acknowledge mistakes, gaps in common-sense reasoning ...

Google has released what it’s calling a new “reasoning” AI model — but it’s in the experimental stages, and from our brief testing, there’s certainly room for improvement. The new ...

My team and I reviewed the best 3D modeling software ... After following a handful of straightforward tutorials, artists of any skill level can begin crafting complex solid geometric shapes.

OpenAI is bringing o1, its “reasoning” AI model, to its API — but only for certain developers, to start. Starting Tuesday, o1 will begin rolling out to devs in OpenAI’s “tier 5” usage ...

Dec 12 (Reuters) - Meta (META.O), opens new tab said on Thursday it was releasing an artificial intelligence model called Meta Motivo, which could control the movements of a human-like digital ...

SCOR has announced its strategic priorities and financial targets for 2025-2026, confirming its commitment to achieving an annual economic value growth rate of 9% and maintaining a solvency ratio ...

Scor reaffirmed and updated its Forward 2026 strategic plan during its 2024 Investor Day in London. It said the two equally weighted targets of the plan are achieving an economic value growth rate ...

UPDATE: While anticipation builds for the Model Y refresh, CEO Elon Musk has also repeatedly referenced more affordable models coming in 2025. (Updates with news about Model Q. See below.) ...

The long-pending plan for the establishment of the South Coast Railway (SCoR) Zone, with headquarters in Visakhapatnam, is going to materialise soon with the East Coast Railway Headquarters ...

This website uses cookies to improve your experience. By continuing to use this website you are accepting our cookie policy. Some cookies are necessary to make the website work properly, for example ...

File 4_Fit_Models.R illustrates how to investigate non-linearities of predictors, fitting a model using all imputed data sets, and perform backward stepwise variable selection to obtain a parsimonious ...