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.
Microbes make up 99.999% of Earth's species. MIT's Yunha Hwang uses genomic language modeling to study their diverse genomes.
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.
Google's AI Mode is mashing up recipes from multiple creators, leading to a significant drop in ad traffic. Bloggers are seeing their content repurposed in AI-generated cookbooks and websites without attribution.
Dr. Roman Raczka warns against relying solely on AI for mental health support, emphasizing the importance of human therapists. Rising NHS waiting lists and high rates of mental health conditions among young people highlight the urgent need for accessible mental health services.
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.
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.
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 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.
Andrew Yang revives UBI proposal to address automation impact on jobs, focusing on inequalities driven by tech wealth concentration. His "Freedom Dividend" plan offers $1,000 monthly to every American adult, aiming to save workers from automation threats.
Amazon S3 offers high-performance for ML workloads. Optimize throughput with data shard consolidation and caching for efficiency.
AI could exacerbate income inequality and create a new underclass. Concerns rise over massive job losses predicted by leading AI companies and politicians like Bernie Sanders.
OpenAI CEO juggles AI advancements and fatherhood. Sam Altman eyes $1tn valuation for company while navigating new parenthood.
Seeking comfort from machines is replacing traditional religious practices, as people turn to technology for reassurance in times of grief and fear. The shift from relying on religion to seeking solace from machines highlights a changing cultural landscape and the evolving role of technology in providing emotional support.
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.