IMF report recommends fiscal policies to address AI carbon emissions. Generative AI advances at breakneck speed.
Automating resource management in large language model training optimizes efficiency, enabling focus on experimentation and innovation. AWS Trainium and AWS Batch integration offers scalable, cost-effective deep learning training with streamlined orchestration.
Name entity recognition (NER) extracts entities from text, traditionally requiring fine-tuning. New large language models enable zero-shot NER, like Amazon Bedrock's LLMs, revolutionizing entity extraction.
McDonald’s ends AI chatbot drive-thru test after wrong order viral videos raise concerns. Over 100 US locations to remove automated order systems.
Proton, the secure email suite, transitions to a nonprofit foundation led by CEO Andy Yen. Foundation includes Sir Tim Berners-Lee, aims to prioritize people over profits.
SoftBank is developing AI-powered "emotion-canceling" tech to alter angry customer voices for calmer calls with customer service. The project aims to reduce operator stress, with plans for launch by March 2026, sparking mixed reactions online.
Meredith Whittaker, president of the Signal Foundation, leads the fight against surveillance and data sharing. Organized Google walkouts in 2018 to protest state surveillance and sexual misconduct.
Travel companies are integrating generative AI for virtual travel agents, enhancing customer experiences with personalized recommendations and efficient booking processes. Guardrails for Amazon Bedrock offer robust safeguards to mitigate risks and enable safe deployment of generative AI technologies, providing industry-leading safety protection and customization options for responsible AI pract...
MIT researchers found that large language models can understand the visual world and generate complex scenes. By querying LLMs to self-correct code for images, they improved simple drawings and trained a vision system without using visual data.
Nvidia surpasses Microsoft and Apple to become world's most valuable company with $3.34tn market cap, driven by AI chip dominance. Shares soar as chipmaker overtakes Apple, solidifying position in tech market.
Runway introduces Gen-3 Alpha AI video synthesis model, rivaling OpenAI's Sora in quality and generating 10-second clips with improved consistency. Despite budget constraints, Runway impresses with visually stunning video creations from text prompts, showcasing significant advancements in visual fidelity.
Businesses can modernize document handling with intelligent automation on AWS, optimizing workflows and enhancing accuracy. AI can revolutionize financial processes by automatically extracting data from emails, reducing costs and improving efficiency.
MIT and Meta researchers develop PlatoNeRF, a computer vision technique using shadows and machine learning to create accurate 3D models of scenes, improving autonomous vehicles and AR/VR efficiency. Combining lidar and AI, PlatoNeRF offers new opportunities for reconstructions and will be presented at the Conference on Computer Vision and Pattern Recognition.
AI Agent Capabilities Engineering Framework introduces a mental model for designing AI agents based on cognitive and behavioral sciences. The framework categorizes capabilities into Perceiving, Thinking, Doing, and Adapting, aiming to equip AI agents for complex tasks with human-like proficiency.
Explaining data normalization and encoding for machine learning algorithms, including Euclidean distance computation. Demonstrates manual and programmatic methods, showcasing a general normalize-and-encode program in C#.