Top Tier: The latest news in digital data and information
In the realm of technology, advancements are being made in various sectors, from predicting the scent of molecules to improving road safety.
Researchers at the Massachusetts Institute of Technology have trained an AI system to analyze Wordle guesses and determine the best starting word. Meanwhile, Google's researchers have developed an AI system that predicts a molecule's smell by analyzing its molecular structure. This groundbreaking technology can be applied to developing new perfumes, improving electronic noses for odor detection, and enhancing food safety.
Google's AI system takes molecular structure data as input, analyzes patterns learned from known molecules’ smells, and uses machine learning models to map structure to sensory labels. This bridges chemistry and olfaction through data-driven predictive modeling. A Google-backed startup called Osmo has even trained an AI to predict whether a molecule will smell sweet, sharp, or bear other scent qualities by mapping molecular properties to sensory descriptors.
Elsewhere, in the world of transportation, the Florida Department of Transportation has partnered with one.network to launch a pilot program aimed at improving safety for construction workers and drivers on the state's roads. Construction supervisors will use one.network's platform to input real-time data on lane closures, temporary speed restrictions, and on-site personnel.
Meanwhile, President Biden has signed an executive order to create a national biotechnology and biomanufacturing initiative. The U.S. National Institutes of Health (NIH) will expand the Cancer Research Data Ecosystem to include data on persistent poverty in public health surveillance of cancer. As part of this expansion, a biosciences data center will be created.
In addition, Walmart has partnered with Focal Systems to use an AI system to detect low inventory levels on shelves in Canadian stores. The retail giant has also created a virtual try-on tool to help customers shop for clothes online, using an AI system to display over 270,000 items on customers' own images or a model.
These advancements showcase the potential of AI and data-driven predictive modeling to revolutionize various industries, from predicting odors to improving road safety.
- The AI system developed at MIT is trained to analyze Wordle guesses, showcasing the application of artificial intelligence in education and self-development.
- The excellent Google AI system, which predicts a molecule's smell by analyzing its molecular structure, is a testament to the fusion of chemical and olfactory science.
- Google's startup Osmo has trained an AI to predict a molecule's scent based on its molecular properties, potentially impacting the development of new perfumes and food safety.
- The Florida Department of Transportation's collaboration with one.network introduces an AI-backed platform to enhance road safety, particularly for construction workers and drivers.
- President Biden's executive order establishes a national biotechnology and biomanufacturing initiative, with a focus on expanding the Cancer Research Data Ecosystem and aligning it with data on persistent poverty in public health surveillance.
- Walmart's partnership with Focal Systems utilizes AI to detect low inventory levels on shelves in Canadian stores, and also created a virtual try-on tool using AI to display clothes on customers' images, further demonstrating the versatility of AI in the retail sector, particularly fitness and exercise and health and wellness.
