AI systems face challenges in understanding the complex nature of video content with visual, audio, and text elements. Amazon Bedrock integrates TwelveLabs Marengo Embed 3.0 model for faster video search and interactive product discovery through multimodal AI embeddings.
Unsloth's open-source framework allows efficient fine-tuning of AI models on NVIDIA GPUs, enhancing accuracy for specialized tasks. Developers can choose from three main fine-tuning methods based on their goals, from parameter-efficient to reinforcement learning, to improve AI models for specific use cases.
Amazon SageMaker HyperPod now supports elastic training, allowing ML workloads to scale automatically based on resource availability. This dynamic adaptation maximizes GPU utilization, reduces costs, and accelerates model development without manual intervention, addressing the inefficiencies of static allocation in AI infrastructure.
Google's AI Mode is mashing up recipes from multiple creators, leading to a significant drop in ad traffic. Bloggers are seeing their content distorted and reused without permission in AI-generated cookbooks and websites.
Popstars like Elton John and Dua Lipa lead campaign for artists' rights in AI training, backed by 95% of respondents in government consultation. Calls for stronger copyright protection and licensing requirements gain momentum in the fight against tech companies.
MIT researchers develop AI-driven robotic assembly system for rapid prototyping furniture from premade parts. System builds objects based on user descriptions, reducing waste and enabling local fabrication.
Doctoral student Dauren Sarsenbayev from MIT NSE aims to extract heat from spent nuclear fuel, turning waste into energy. His innovative approach reframes nuclear waste as a valuable resource, offering a sustainable solution for energy production and waste management.
Kernel ridge regression (KRR) predicts values using a kernel function to handle non-linear data. Training a KRR model involves finding weights with closed-form or iterative techniques for accurate predictions.
Amazon S3 offers high-performance for ML workloads. Optimize throughput with data shard consolidation and caching for efficiency.
Andrew Yang revives UBI proposal to address tech-driven wealth disparities, echoing automation concerns. His "Freedom Dividend" aims to protect workers from job loss to robots.
Dr. Roman Raczka emphasizes AI can't replace therapist-led care for mental health. Teenagers turning to AI chatbots due to rising NHS waiting lists and lack of mental health support.
Microbes make up 99.999% of Earth's species. MIT's Yunha Hwang uses genomic language modeling to study their diverse genomes.
California governor criticizes Trump's AI executive order, accusing it of promoting 'grift and corruption' instead of innovation. Gavin Newsom calls out Trump and his adviser David Sacks, accusing them of 'running a con' with their AI policy.
MIT researchers developed DisCIPL, a framework where large language models guide smaller ones for more accurate and efficient responses. Using LLaMPPL, the models collaborate like a company to tackle tasks from text blurbs to travel itineraries, bridging the gap in reasoning abilities.
OpenAI CEO juggles AI advancements and fatherhood. Sam Altman eyes $1tn valuation for company while navigating new parenthood.