NEWS IN BRIEF: AI/ML FRESH UPDATES

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Macron's Dig at Trump: AI Summit Recap

Swedish prosecutor confirms identity of Örebro shooting perpetrator as Rickard Andersson, a former student at Campus Risbergska, described as a 35-year-old unemployed recluse with psychological problems.

The Inequality Engine: AI's Global Impact

Emmanuel Macron's AI envoy, Anne Bouverot, warns of unsustainable trajectory of artificial intelligence at global summit in Paris, highlighting environmental impact and resource consumption. Attendees include political leaders, tech executives, and experts discussing AI's effects on inequality and the environment.

Mastering Diffusion Models: 6 Control Strategies

Diffusion Models like Stable Diffusion and DALL-E have shown impressive image generation quality. Techniques like Dreambooth and Lora allow customization with minimal effort, enabling models to learn new concepts quickly.

AI Scammers Target Italian Business Leaders

Italian business leaders, including Armani and Prada chair, targeted in AI scam using defence minister's voice in fake calls. Prosecutors in Milan receive legal complaints from prominent figures after Guido Crosetto's voice cloned in scam calls.

The Impact of Technical Illiteracy: A Conversation with Jay Bernard

Jay Bernard, award-winning poet, uses AI in The Last X Years project to reveal manipulation of qualitative data in Brexit conversations, making invisible processes visible. Using Google's TensorFlow, the project connects news headlines and interviews, shedding light on the manipulation of democracy in the digital age.

AI in the Courtroom: Challenges and Boundaries

AI's increasing role in the legal field is causing concern, as courts fear its use in writing legal documents and case citations. A lawyer's reliance on ChatGPT for case summaries resulted in nonexistent citations, highlighting potential risks of AI in legal work.

Gaussian Mixture Models: Unveiling the Method of Moments

Audio Processing relies on statistical models like Gaussian Mixture Model (GMM) to classify and simulate background noise in different environments, aiding in developing DSP solutions for interference cancellation and speech enhancement. GMM distributions with varying probabilities accurately represent different noise sources, crucial for practical audio systems.

AI vs. Venom: Designing Proteins to Fight Deadly Snakes

AI-designed proteins neutralize deadly snake venom faster, cheaper, and more effectively than traditional antivenoms. This breakthrough offers hope for affordable, accessible treatment to save millions of lives and livelihoods in rural communities worldwide.

Mastering LLM Temperature: Your Ultimate Guide

LLM applications require intentional temperature settings to control randomness. Temperature values impact the model's outputs, making them more random or focused. Softmax function transforms raw scores into a clean probability distribution for accurate predictions.