Generative AI advances lead to new cybersecurity threats. Armis, Check Point, CrowdStrike, Deloitte, and WWT integrate NVIDIA AI for critical infrastructure protection at S4 conference.
Google executives revealed plans to end diversity initiatives and revoke the pledge against weaponized AI in a recent all-staff meeting. The company's decision to update training programs and participate in geopolitical discussions has sparked controversy among employees.
AI scaling laws describe how different ways of applying compute impact model performance, leading to advancements in AI reasoning models and accelerated computing demand. Pretraining scaling shows that increasing data, model size, and compute improves model performance, spurring innovations in model architecture and the training of powerful future AI models.
Statistical inference helps predict call center needs by analyzing data using Poisson distribution with mean value λ = 5. Simplifies estimation process by focusing on one parameter.
Large Language Models (LLMs) predict words in sequences, performing tasks like text summarization and code generation. Hallucinations in LLM outputs can be minimized using Retrieval Augment Generation (RAG) methods, but trustworthiness assessment is crucial.
Amazon Bedrock introduces LLM-as-a-judge for AI model evaluation, offering automated, cost-effective assessment across multiple metrics. This innovative feature streamlines the evaluation process, enhancing AI reliability and efficiency for informed decision-making.
Tech firms must invest in and respect social media filters and data labelers for AI. Sonia Kgomo criticizes Meta's decision at the AI Action Summit.
Voice actors in SAG-AFTRA strike over AI-generated performances in video games since July. Major publishers like Activision Blizzard and Disney are involved in the dispute, impacting recent titles like Destiny 2 and Genshin Impact.
Main techniques for regression include Linear, k-Nearest Neighbors, Kernel Ridge, Gaussian Ridge, Neural Network, Random Forest, AdaBoost, and Gradient Boosting. Each technique's effectiveness varies based on dataset size and complexity.
Meta SAM 2.1, a cutting-edge vision segmentation model, is now available on Amazon SageMaker JumpStart for various industries. This model offers state-of-the-art object detection and segmentation capabilities with enhanced accuracy and scalability, empowering organizations to achieve precise outcomes efficiently.
Researchers are rapidly developing AI foundation models, with 149 published in 2023, double the previous year. These neural networks, like transformers and large language models, offer vast potential for diverse tasks and economic value.
Calibration ensures model predictions match real-world outcomes, enhancing reliability. Evaluation measures like Expected Calibration Error highlight drawbacks and the need for new notions of calibration.
GraphStorm v0.4 by AWS AI introduces integration with DGL-GraphBolt for faster GNN training and inference on large-scale graphs. GraphBolt's fCSC graph structure reduces memory costs by up to 56%, enhancing performance in distributed settings.
Tara Chklovski and Anshita Saini of Technovation discuss empowering girls worldwide through AI education, real-world problem-solving, and inclusive AI initiatives. Learn about mentoring opportunities for the 2025 season and technological advancements at NVIDIA GTC conference.
Bubble Charts are enhanced with transitions between "before" and "after" states for a more intuitive user experience. Developing a solution involved refreshing mathematical concepts and selecting the most suitable tangent lines.