NEWS IN BRIEF: AI/ML FRESH UPDATES

Get your daily dose of global tech news and stay ahead in the industry! Read more about AI trends and breakthroughs from around the world

NYT Cuts Ties with AI-Assisted Freelancer

Author Alex Preston admitted to a "serious mistake" when a reader found similarities between his review and one in the Guardian. The New York Times ended ties with a freelance journalist for using AI to write a book review resembling one from the Guardian.

Creepy Conclusions: My Month with Meta's Smartglasses

Content creators praise Meta's smartglasses with built-in camera, while sceptics dub them 'pervert glasses'. Users interact with AI assistant voiced by Judi Dench, offering guidance and information, raising questions about the necessity of more hi-tech wearables.

Securing a Sustainable Future for UK Science Funding

Prof Ruben Saakyan and Prof Sheila Rowan criticize UK Research and Innovation's approach to Science and Technology Facilities Council funding, highlighting the abrupt discontinuation of the successful Quantum Technologies for Fundamental Physics initiative without a clear replacement plan or proper consultation. The loss of early-career researchers trained in a strategically important area unde...

Revolutionizing Marketing at Volkswagen with AI

Volkswagen Group partners with AWS to develop a generative AI solution for marketing image generation, ensuring brand precision across its ten distinct brands. The innovative pipeline reduces production time, costs, and enhances scalability while maintaining photorealistic quality and brand compliance.

Revolutionize Viewer Experiences with AI Movie Assistant

Agentic AI movie assistant Amazon Nova Sonic 2.0 offers hyperpersonalized recommendations through dynamic dialogue and real-time feedback. Users can interact with the AI for tailored movie suggestions and scene analysis, using a complex architecture with tools like Strands Agents SDK and Amazon Bedrock AgentCore.

Pseudo-Inverse Training for Linear Regression in C#

Linear regression is a key machine learning technique for predicting numeric values, using weights and bias. Training methods include stochastic gradient descent and pseudo-inverse via SVD or QR decomposition, each with varying complexity and performance.

UK's High-Stakes AI Gamble

The UK's heavy investment in AI poses risks if the technology fails. Reporter Aisha Down uncovers delays, vague spending, and outdated chip investments.