NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Victim Confronts Killer in Court

Artificial intelligence allows deceased Chris Pelkey to address his killer in an Arizona court, expressing forgiveness and a desire for friendship. Pelkey, a devout army veteran, was shot in a road rage incident in 2021, showcasing a unique use of AI for victim impact statements.

Power Struggle: Labor's Factional Jostle

Labor MPs from Victoria and other states are concerned about the overrepresentation of the NSW right faction in the Albanese government. There are talks of potential demotions for Sydney-based frontbenchers like Ed Husic, sparking debate within the party.

AI Therapy Chatbots: A Risky Alternative

Mark Zuckerberg suggests AI chatbots as therapists for those without human counselors, sparking debate on oversight for such tools. Experts warn of potential dangers in receiving advice from AI without proper regulation.

Innocent Until Proven Otherwise

The Chicago musical explores blame-shifting and moral lens in a world of greed and murder. Research shows humans tend to blame AI less when it appears more human-like, with programmers bearing the heaviest burden.

AI: Shaping the Future of Work

Business leaders often have high expectations for AI, but face limited results. To truly leverage AI, understanding its core capabilities - Think, Know, Act - is crucial. AI evolves from an assistant to a strategic collaborator when it can reason, learn, and take meaningful actions towards business goals.

Enhance AI Performance with Custom Metrics in Amazon Bedrock

Amazon Bedrock Evaluations introduces LLM-as-a-judge technique for evaluating models and RAG systems, enabling custom metrics for tailored assessments. Organizations can now systematically evaluate models and applications with automated, human-like quality at scale, using built-in or custom metrics.

AI Confronts Killer in Court

Chris Pelkey, deceased in 2021, speaks on forgiveness in AI video fed by his sister. Despite his death, Pelkey 'appeared' in court to confront his killer.

Unraveling the Mystery of Backpropagation: The Total Derivative Explained

Summary: This article clarifies the misconceptions around backpropagation by explaining the total-derivative and introducing the vector chain rule to simplify complex calculations in neural networks. The implementation of vector calculus in backprop equations optimizes the computation of gradients for all weights in a layer simultaneously, enhancing efficiency in training models.

Optimizing RL Algorithms: A Comparative Study

Summary: Part I of Sutton and Barto's book covers fundamental Reinforcement Learning techniques, while Part II focuses on using deep neural networks for approximate solutions. The upcoming series will benchmark algorithms in Gridworld environments to identify the most effective methods.