Rice University computer scientist Lydia Kavraki has been elected to the National Academy of Engineering (NAE), one of the highest professional honors accorded to an engineer, for her work on “developing randomized motion-planning algorithms for robotics and robotics-inspired methods in biomedicine.” Kavraki is Rice’s Kenneth and Audrey Kennedy Professor of Computing, and a professor of computer science, […]
Rice Univ. Prof. Lydia Kavraki Elected to National Academy of Engineering for Research in Biomedical Robotics
February 13, 2025 by
AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs
December 5, 2024 by
In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.
How Generative AI is Shaping the Next Wave of Innovation
November 18, 2024 by
In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors. Generative AI is the new innovation after the Industrial Revolution that is going to bring remarkable changes in every aspect of the overall business environment.
UiPath Integrates Anthropic Claude Language Models to Deliver Next Generation AI Assistant and Solutions
October 26, 2024 by
UiPath embeds Anthropic’s Claude LLMs to fuel UiPath Autopilot for everyone, Clipboard AI, and a new GenAI healthcare solution to offer customers improved productivity, cost savings, and decision-making capabilities UiPath (NYSE: PATH), a leading enterprise automation and AI software company, announced the integration of Anthropic’s large language model (LLM), Claude 3.5 Sonnet, to deliver new AI features in three key […]
Proscia Launches Concentriq Embeddings and Developer Toolkit to Unleash Pathology AI Development
October 3, 2024 by
Proscia®, a global leader in AI-enabled pathology solutions for precision medicine, today announced the launch of Concentriq® Embeddings and the Proscia AI Toolkit, enabling life sciences organizations to accelerate the discovery and development of novel therapies and diagnostics.
Predictive Analytics: A Glimpse into Your Health’s Tomorrow!
September 3, 2024 by
In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.
NVIDIA and Global Partners Launch NIM Agent Blueprints for Enterprises to Make Their Own AI
August 27, 2024 by
NVIDIA today announced NVIDIA NIM(tm) Agent Blueprints, a catalog of pretrained, customizable AI workflows that equip millions of enterprise developers with a full suite of software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation and drug discovery virtual screening.
New Research: Healthcare + Life Sciences Leading Industries in AI Adoption
August 22, 2024 by
Vultr’s latest industry report, Unlocking the Power of AI in Healthcare & Life Sciences, outlines the AI adoption and maturity successes the Healthcare & Life Sciences (H&LS) sector have implemented to positively impact enterprises and their finances.
Regulators Must Keep Pace with Advancement of AI for Fresh and Innovative Healthcare Benefits
August 5, 2024 by
In this contributed article, Elaine Gemmell, Head of Regulatory Affairs at InnoScot Health, discusses regulators needing to keep pace with advancement of artificial intelligence for fresh and innovative healthcare benefits.
New Study Puts Claude3 and GPT-4 up Against a Medical Knowledge Pressure Test
August 1, 2024 by
Kahun, the evidence-based clinical AI engine for healthcare providers, shares the findings from a new study on the medical capabilities of readily-available large language models (LLMs). The study compared the medical accuracy of OpenAI’s GPT-4 and Anthropic’s Claude3-Opus to each other and human medical experts through questions based on objective medical knowledge drawn from Kahun’s Knowledge Graph.
