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AI News Weekly - Issue #392: Top Artificial Intelligence AI Books to Read in 2024 - Jul 4th 2024

AI Weekly

Powered by cloudfront.net In the News Top Artificial Intelligence AI Books to Read in 2024 AI has been making significant strides over the past few years, with the emergence of LLMs marking a major milestone in its growth. marktechpost.com AI coding startup Magic seeks $1.5-billion data showed on Wednesday.

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Top Artificial Intelligence AI Courses from Stanford

Marktechpost

Stanford University is renowned for its advancements in artificial intelligence, which have contributed significantly to cutting-edge research and innovations in the field. It covers generative AI, its business implications, and workforce risks, preparing learners to navigate the AI-driven future.

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AI-Driven Medical Breakthrough: Leveraging Artificial Intelligence for Novel Drug Discovery

Unite.AI

Compared to previous ranking techniques, AI-based approaches are more effective at identifying the most promising candidates. For instance, researchers have developed a Deep Learning-based computational framework to identify and prioritize novel drugs for Alzheimer’s disease.

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Understanding the different types and kinds of Artificial Intelligence

IBM Journey to AI blog

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. Emotion AI is a theory of mind AI currently in development. Explore watsonx.ai

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Allen Institute for Artificial Intelligence (AI2) Announces New CEO

Allen AI

AI Researcher, Executive, and Forbes Top 5 AI Entrepreneur Ali Farhadi to Lead Institute’s Next Chapter The Allen Institute for Artificial Intelligence (AI2) today announced Ali Farhadi will become its new Chief Executive Officer, effective July 31. As an AI professor in the Paul G.

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This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation

Marktechpost

In the pursuit of refining cancer therapies, researchers have introduced a groundbreaking solution that significantly elevates our comprehension of tumor dynamics. This study centers on precisely predicting intratumoral fluid pressure (IFP) and liposome accumulation, unveiling a pioneering physics-informed deep learning model.

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Google AI Researchers Investigate Temporal Distribution Shifts in Deep Learning Models for CTG Analysis

Marktechpost

Google researchers addressed the challenge of variability and subjectivity in clinical experts’ interpretation of visual cardiotocography (CTG), specifically focusing on predicting fetal hypoxia, a dangerous condition of oxygen deprivation during labor, using deep learning techniques. Check out the Paper and Details.