The analysts working on AI projects have a crucial question: How will the interventions brought about by the AI cause the desired outcomes? To date, only about 20% of companies have managed to scale ...
Google’s Gemma series continues to throw up all kinds of interesting models. The latest is Magenta RealTime 2 (MRT2), an open-weights model ...
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos We taught models to compress their own ...
Adjunctive low-level laser therapy (LLLT) is proposed to improve periodontal healing post-SRP, but results are inconclusive and mostly reported as group averages. There's a need for decision tools to ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
Many companies are rushing to incorporate AI into their business models without being able to accurately gauge its benefits. Applying the principles of causal inference takes away the guesswork. The ...
In an era where data-driven decision-making dominates the business landscape, traditional AI has excelled at predicting outcomes based on past occurrences. Yet, as our challenges grow in complexity, ...
There are many implemented methods to perform causal inference when your intervention of interest is binary, but few methods exist to handle continuous treatments. This is unfortunate because there ...
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