NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI's Five-Layer Cake: The Largest Infrastructure Buildout

AI's rapid expansion is reshaping the global economy, creating jobs across industries from energy to healthcare. NVIDIA CEO Jensen Huang sees AI as a five-layer cake driving job creation and economic benefit, emphasizing the importance of purpose-driven work in the AI era.

Unpacking the Pitfalls of Aggregated ML Metrics

MIT researchers find machine-learning models fail when applied to new data, raising concerns about reliability and potential biases. Models trained in one setting may perform poorly in another, highlighting the need for rigorous testing and addressing spurious correlations in various fields.

Trippy Anime Review: Cosmic Princess Kaguya!

Cosmic Princess Kaguya! is a hyperactive, techno anime adaptation of a Japanese folk tale with emojis exploding all over the screen. The film follows Iroha, a talented musician living in a virtual reality world, TikTok-ified with stickers and high-energy visuals.

AI Therapists: Breaking Mental Health Stigma in Italy

State mental health services are lacking, prompting individuals like Viola di Grado to turn to AI therapists for help in a society unsure of the boundaries of digital therapy. The intimacy of AI therapy falls between real psychotherapy and casual advice sharing, sparking a new kind of conversation.

Tech Giants Still Bowing to Trump

Tech titans reaped big rewards after aligning with Trump, gaining billions in funding and lucrative deals. US datacenter boom and Australia's social media ban effects also discussed in TechScape.

MPs Warn of Serious Harm from AI Risks in UK

Government, Bank of England, and FCA under fire for 'wait-and-see' stance on AI risks in finance, risking harm to consumers and financial system. MPs slam regulators for failing to address dangers posed by artificial intelligence in new report.

Precise Linear Regression with JavaScript

Linear regression prediction equation explained, with training methods like stochastic gradient descent and matrix pseudo-inverse. Demo shows poor accuracy due to complex data, but linear regression is a solid starting point for comparison with advanced techniques like neural networks.