Self-Driven Laboratory, AlphaFlow, Speeds Chemical Discovery
A team of chemical engineering researchers led by NC State University has developed a self-driven lab using artificial intelligence that is capable of identifying and optimizing new complex multistep reaction routes for the synthesis of advanced functional materials and molecules.
New Method Accelerates Data Retrieval in Huge Databases
Researchers led by MIT used machine learning to build faster and more efficient hash functions, which are a key component of databases.
What the Experts Are Saying About ChatGPT
A PillarQ summary of the insights on ChatGPT and other conversational AI models disrupting our newsfeed
University of Central Florida Researcher Receives DOE Funding to Advance Human Understanding of AI Reasoning
The project focuses on developing algorithms to create robust multi-modal explanations for foundation, or large, AI models through the exploration of several novel explainable AI methods.
Machine Learning Model Speeds Up Assessing Catalysts for Decarbonization Technology
Researchers at Argonne National Laboratory report developing an artificial intelligence-based model to speed up the process for engineering a low-cost catalyst based on molybdenum carbide.
Rutgers Researchers Use AI to Predict Cardiovascular Disease
Researchers may be able to predict cardiovascular disease – such as arterial fibrillation and heart failure – in patients by using artificial intelligence to examine the genes in their DNA, according to a new Rutgers study.
Industry News Wrap-up: Week of February 20
This week’s short list of industry news
Infants Outperform AI in “Commonsense Psychology”
Infants outperform artificial intelligence in detecting what motivates other people’s actions, finds a new study by a team of psychology and data science researchers from New York University.
Are Digital Humans the Employees of the Future?
To reach industry leaders, researchers with Iowa State University, Indiana University, and University of Sydney wrote “AI with a Human Face: The case for – and against – digital employees” for Harvard Business Review. The article highlights four types of digital humans and offers guidance for companies as they consider investing in this area of AI.
Cybersecurity Defenders Are Expanding Their AI Toolbox
Scientists at Pacific Northwest National Laboratory are harnessing deep reinforcement learning to protect computer networks. When faced with sophisticated cyberattacks in a rigorous simulation setting, deep reinforcement learning was effective at stopping adversaries from reaching their goals up to 95 percent of the time.