AI-generated phishing emails are now more sophisticated, posing a new challenge for security teams. Amazon Bedrock uses AI to detect phishing attempts based on behavioral patterns, not grammar.
BoltzGen on Amazon SageMaker AI streamlines protein binder design, managing GPU infrastructure. SageMaker AI handles compute lifecycle, reducing operational overhead for design iteration.
Amazon Bedrock AgentCore Memory is a managed memory service that improves AI agents' ability to recall information accurately. Metadata filtering enhances retrieval precision, boosting overall question-answering accuracy from 40% to 64%, with significant gains in contextual questions.
President Sally Kornbluth warns of innovation pipeline drying up without federal support for curiosity-driven research. She emphasizes the importance of teaching foundational skills for leading in an AI-enabled world.
Berkeley AI Research Lab (BAIR) celebrates 2026 Ph.D. graduates' impactful work in AI, robotics, language models, and more. Graduates head to academia, industry, and startups, shaping the future of AI.
Fraud rates are rising, with AI-generated forgeries growing 5x. Inscribe's agentic AI system detects financial document fraud in under 90 seconds.
Kernel ridge regression (KRR) and support vector regression (SVR) yield similar results, with KRR being simpler and more efficient than SVR due to fewer hyperparameters. While KRR stores all training items, SVR only stores a subset, making it slightly faster in predictions.
HippoRAG improves multi-hop reasoning by integrating knowledge across sources with a neurobiologically-inspired framework. AWS implementation includes Amazon Bedrock, Neptune, Neptune Analytics, and Titan Embeddings for enterprise-scale applications.
Implementing L2 regularization in linear regression using MP pseudo-inverse via QR-Householder, with a demo showing modest improvements. The technique, though complex and rarely beneficial, can be applied to various linear models for experimental purposes.
Fine-tune Amazon Nova models with Amazon SageMaker AI to automate accurate data extraction, reduce costs, and improve efficiency. Parcel Perform collaborated with AWS GenAIIC to optimize Nova models, achieving up to 94.77% extraction accuracy, reduced costs by 50%, and improved latency for ecommerce logistics operations.
Anthropic releases Claude Sonnet 5, a highly agentic model surpassing Sonnet 4.6. Offers superior benchmarks at lower costs.
Implementing resilience patterns for Large Language Model (LLM) inference is crucial as generative AI workloads scale. Amazon Bedrock offers features like cross-Region inference for maintaining availability, response time, cost, and throughput in production.
AI agents go beyond chat with AG-UI protocol, enabling interactive chart rendering and real-time updates. Amazon Bedrock AgentCore offers a secure platform for building AI agents with AG-UI integration, connecting backend frameworks with frontend libraries seamlessly.
Outpost VFX achieves 8x faster AI model training using AWS infrastructure, overcoming single-GPU limitations. Collaboration with AWS Generative AI Innovation Center modernizes face replacement workflow for high-end VFX production.
Automated AI agents are on the rise, with 35% of businesses already using them and 44% planning to. MIT expert Phillip Isola explains agentic AI's actions in the world, differentiating it from generative AI like ChatGPT and Claude.