Paris is on high alert for the Olympics, with 40,000 barriers and AI surveillance to counter security threats. French officials have flagged hundreds of potential extremists, sparking concerns over privacy and civil liberties.
Investors question ROI on $1tn AI spending as Meta releases powerful Llama 3.1 405B system for free. Zuckerberg's $10.5bn chip investment highlights the high costs of AI development.
Companies facing backlash after introducing AI-generated entities for product recommendations, leading to apologies and cancellations. Anti-AI sentiment on the rise as consumers reject fake AI-generated content in various industries.
Data modeling creates a conceptual representation of data relationships. Kimball's dimensional modeling offers high-performance access and scalability for changing business needs.
Artificial intelligence is transforming the film industry, raising questions about authenticity and transparency. Generative AI is rapidly evolving, leaving filmmakers in a "wild west" of ethical dilemmas.
Elon Musk's X platform faces backlash for violating UK and EU GDPR rules by using pre-ticked consent boxes. Data regulators are investigating X for obtaining user consent for AI systems without their knowledge.
Ars Technica partners with IBM for in-person events on IT resiliency and the future at Space Center Houston. This year, two gatherings on the coasts will feature panel discussions and happy hours for networking.
New AI systems AlphaProof and AlphaGeometry 2 almost win gold in global maths contest, tackling challenging questions. Google DeepMind's breakthrough brings AI closer to beating top human mathematicians.
Summary: Learn about dimensionality reduction using a neural autoencoder in C# from the Microsoft Visual Studio Magazine. The reduced data can be used for visualization, machine learning, and data cleaning, with a comparison to the aesthetics of building scale airplane models.
Effective fraud detection strategies using AI are crucial in preventing financial losses and maintaining customer trust in the banking sector. Techniques include analyzing data to detect anomalies, flag suspicious transactions, and predict future fraudulent activities.
ML Model Registry organizes ML teams' work, facilitating model sharing, versioning, and deployment for faster collaboration and efficient model management. Weights & Biases Model Registry streamlines ML activities with automated testing, deployment, and monitoring, enhancing productivity and performance.
Learn how to build an interactive chatbot using streaming with open source tools like Burr and FastAPI for a seamless user experience. Streaming text word by word can make AI applications more engaging and responsive, enhancing user interaction and experience.
Predicting the future is challenging, but time series analysis can help make accurate forecasts. Learn the key concepts and methods using Python with statsmodels.
Evals are critical in understanding AI model performance. Product managers should lead eval design to align model goals with user experience.
Google DeepMind's AI systems AlphaProof and AlphaGeometry 2 impressed by solving four IMO problems, almost reaching gold medal level. AlphaProof uses reinforcement learning in Lean, while AlphaGeometry 2 is an upgraded geometry-solving model powered by Gemini.