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

Protecting Children from Social Media and AI

Government consultation on banning social media for under-16s should also consider access to generative AI for young people. AI-driven technologies, including chatbots simulating friendship, raise urgent questions about safeguarding young minds online.

Boosting Data-Driven Advertising with Amazon Bedrock Agents

CLICKFORCE, a leader in digital advertising in Taiwan, partnered with AWS to create Lumos, a next-gen AI-driven marketing analysis tool, transforming weeks of manual work into a one-hour automated process. Lumos addresses challenges like generic AI outputs, lack of industry context, and disconnected tools, providing actionable insights for smarter advertising decisions.

AI and Open Source Revolutionizing Financial Services

AI is transforming financial services, with organizations leveraging AI to increase revenue, decrease costs, and improve critical functions. The use of open source models is key, with 83% saying it's important, as financial institutions fine-tune AI capabilities for competitive advantage.

Chris Pratt battles AI judge in Mercy thriller

In 2029 LA, Chris Pratt stars as a cop fighting RoboJustice in a futuristic thriller directed by Timur Bekmambetov. AI-driven justice system puts Pratt's character on trial, raising questions about the power of AI in society.

JP Morgan CEO Warns: Slow AI Rollout to Protect Society

Jamie Dimon warns of potential civil unrest due to rapid AI advancements, while Nvidia's Jensen Huang believes tech will create more jobs than it destroys. Dimon emphasizes the need for government and business support to help displaced workers adapt to the changing landscape.

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.