NEWS IN BRIEF: AI/ML FRESH UPDATES

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Debating Ethics: NHS Baby DNA Sampling

NHS plans DNA tests for all babies to assess disease risk with AI, raising concerns about informed consent and privacy. Infants' genetic data could be stored and used by unknown corporations without parental knowledge.

MIT and Mass General Brigham Partner for Health Innovation

MIT and Mass General Brigham team up with Analog Devices Inc. to launch the MIT-MGB Seed Program, aiming to advance human health research with interdisciplinary collaborations. The program will fund joint projects, combining expertise in AI, machine learning, and clinical research to drive transformative changes in patient care.

Optimizing Kernel Ridge Regression with C#

Experimenting with a hybrid training technique combining SGD and PSO for Kernel Ridge Regression yielded promising results, though not significantly better than traditional methods. KRR utilizes a kernel function to predict numeric values, with techniques like Cholesky and SGD used for training.

Streamlining AWS Cost Estimation with Q CLI & Cost Analysis MCP

Amazon Q Developer CLI with Model Context Protocol (MCP) simplifies AWS cost analysis with generative AI, offering quick, accurate optimization recommendations. The MCP server connects Amazon Q to specialized servers, like the AWS Cost Analysis MCP, for detailed cost estimates using real-time AWS pricing data.

Trump's Tax Bill Threatens AI Regulations, Earth at Risk

Republicans aim to prevent AI regulations, risking 1bn tons of CO2 emissions in the US over a decade, Harvard researchers warn. Unrestrained AI growth threatens to worsen climate crisis, with massive electricity consumption contributing to planet-heating emissions.

GeForce NOW: Game On!

GeForce NOW members get new rewards, games, and discounts, including We Happy Few and Broken Age. SteelSeries launches a mobile controller for cloud gaming, while Premium members get early access to exclusive rewards in The Elder Scrolls Online.

Mastering Matrix Inverse with Cayley-Hamilton in C#

Article: 'Matrix Inverse Using Cayley-Hamilton with C#' in Microsoft Visual Studio Magazine explains the challenges and advantages of using Cayley-Hamilton technique for computing matrix inverse. The technique is simple but has limitations for larger matrices, yet offers customization and unique advantages in specific scenarios.

Safeguarding Responsible AI in Amazon Bedrock Guardrails

Amazon Bedrock Guardrails offers configurable safeguards for building trusted generative AI applications, including content filters and contextual grounding checks. The introduction of safeguard tiers allows organizations to tailor protection levels based on specific needs, ensuring responsible AI principles are upheld without sacrificing performance.