NEWS IN BRIEF: AI/ML FRESH UPDATES

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From Gaming Genius to Nobel Laureate: The Demis Hassabis Story

Sir Demis Hassabis, Google DeepMind chief and Nobel prize winner, emphasizes AI benefits but stresses importance of addressing risks as seriously as the climate crisis. Hassabis, known for designing hit game Theme Park at 17, highlights the significance of balancing innovation with caution in the tech industry.

Moving on from Amazon Lookout for Metrics

Amazon Lookout for Metrics, a ML anomaly detection service by Amazon, will end support on October 10, 2025. Customers can transition to alternative AWS services like Amazon OpenSearch, CloudWatch, Redshift ML for anomaly detection.

Revolutionizing Energy Efficiency and Innovation with NVIDIA AI

NVIDIA's accelerated computing is driving energy-efficient AI innovations, reducing energy consumption significantly while powering over 4,000 applications. Agentic AI is transforming industries by automating complex tasks and accelerating innovation, with NVIDIA collaborating on groundbreaking projects like real-time AI searches for fast radio bursts.

Streamlining User On-boarding with Amazon Bedrock

Generative AI digital assistant on AWS streamlines banking customer onboarding, automating paperwork, identity verification, and providing instant customer engagement. Challenges like manual processes, security risks, and limited accessibility addressed through innovative solution, enhancing customer experience and efficiency.

Mastering Rust in the Browser: 9 Essential Rules

Learn how to run Rust code in the browser using WebAssembly, providing dynamic web pages with privacy benefits. Follow nine rules for porting code to WASM in the browser, ensuring successful implementation and integration.

AI and Blisk Collab: A DARPA Breakthrough

Researchers from MIT, CMU, and Lehigh collaborate on DARPA-funded METALS program to optimize multi-material structures for aerospace applications, including rocket engines. Project merges classical mechanics with AI design tech for compositionally graded alloys, enabling leap-ahead performance in structural components.

Transition to ML Engineer: Your Next Career Move

Transitioning from software engineer to machine learning engineer at FAANG companies involves 7 key steps, including finding motivation, exploring ML basics, networking, and finding your niche within the ML landscape. Understanding your interests and leveraging your current skills strategically are essential for a successful transition.