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.
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.
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.
EU plans €20bn investment in power-hungry supercomputers for AI 'moonshots'. Strategy aims to make Europe a competitive AI continent, says Vice-President Virkkunen.
Using rules in product management can help combat fraud and retain profitable customers. Implementing static rules can be faster, more interpretable, and compliant in industries like finance and healthcare.
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.
Bank of England warns of AI programs potentially manipulating markets for profit, citing risks in a report on autonomous systems. AI's ability to exploit opportunities raises concerns for banks and traders, according to the financial policy committee.
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.
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.
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.
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.
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.