IEA predicts surge in AI energy needs, but downplays climate impact. By 2030, US data processing for AI may surpass energy use in heavy industries.
Amazon, Google, and Microsoft are constructing datacentres in water-scarce regions worldwide, potentially exacerbating existing water scarcity issues. With support from Donald Trump, the tech giants plan to expand their operations, raising concerns about the impact on local populations.
Amazon Bedrock Agents streamline generative AI app development by breaking down tasks and using FMs. Human-in-the-loop interaction ensures safe and effective agent operations, with HITL patterns for validation.
Dr. Mehmet Oz, head of $1.5tn Medicare and Medicaid agency, suggests AI models may surpass human doctors. Oz emphasizes cost efficiency and patient preference for AI avatars in healthcare.
EU plans €20bn investment in power-hungry supercomputers for AI 'moonshots'. Strategy aims to make Europe a competitive AI continent, says Vice-President Virkkunen.
Catboost introduces a new method of calculating the Target Statistic for categorical variables, avoiding issues like sparsity and memory problems. By replacing one-hot encoding with a smoothed average, Catboost provides a practical solution for real-world tasks.
MIT and MIT-IBM Watson AI Lab researchers develop a groundbreaking multimodal approach using Large Language Models and graph-based models to streamline molecule design, increasing success rate from 5% to 35%. This innovative technique could automate the entire process of molecule design and synthesis, potentially revolutionizing drug discovery.
Amazon Q Business offers AI-powered assistance to boost workforce efficiency by reducing time spent on tasks. With robust security features and detailed insights, organizations can measure productivity gains and optimize usage for maximum impact.
Organizations are adopting a multi-LLM approach for generative AI applications, allowing for more versatile and efficient models tailored to specific tasks and requirements. Implementing effective multi-LLM routing is key to directing user prompts to the right LLM for diverse use cases, from text generation to complex analysis, across different domains of expertise.
Transformer-based LLMs have advanced in tasks, but remain black boxes. Anthropic's new paper on circuit tracing aims to reveal LLMs' internal logic for interpretability.
Organizations turn to synthetic data to navigate privacy regulations and data scarcity in AI development. Amazon Bedrock offers secure, compliant, and high-quality synthetic data generation for various industries, addressing challenges and unlocking the potential of data-driven processes.
ML models need to run in a production environment, which may differ from the local machine. Docker containers help ensure models can run anywhere, improving reproducibility and collaboration for Data Scientists.
Australian team revives US composer Alvin Lucier, sparking AI authorship debate. Eerie symphony plays without musicians, only a fragment of a performer remains.
Donald Trump signs executive orders to boost coal industry, sparking environmentalist backlash over impact on climate change. Environmentalists criticize move as regressive, claiming it will increase costs for consumers and hinder progress towards cleaner energy sources.
Amazon Bedrock offers high-performing foundation models and end-to-end RAG workflows for creating accurate generative AI applications. Utilize S3 folder structures and metadata filtering for efficient data segmentation within a single knowledge base, ensuring proper access controls across different business units.