Dynamic pacemaker lights keep traffic moving in Melbourne tunnel
From Superinnovators 31/10/23. This article is in TLDR (Too Long Didn’t Read) format which is popular in the innovation community and provides a bullet summary of information. More info https://www.transurban.com/burnleytunnelproject https://roads.org.au/new-lights-now-help-drivers-keep-pace-in-burnley-tunnel/ https://www.itsinternational.com/its8/news/transurban-lights-tunnel-help-drivers-pace-themselves https://www.smh.com.au/national/victoria/the-ai-lights-guiding-drivers-through-one-of-melbourne-s-busiest-tunnels-20230426-p5d3c5.html https://sandbox.smec-cloud.net/insights/virtual-reality-sheds-new-light-on-driver-behaviour/ You may also be curious about:
Meta decodes images from brain activity in real-time
From Superinnovators 25/10/23. This article is in TLDR (Too Long Didn’t Read) format which is popular in the innovation community and provides a bullet summary of information. More info https://ai.meta.com/blog/brain-ai-image-decoding-meg-magnetoencephalography/ https://ai.meta.com/static-resource/image-decoding You may also be curious about:
Can AI crave a favourite food? Innovators put artificial intelligence to the taste bud test
From Penn State 09/10/23 Can artificial intelligence (AI) get hungry? Develop a taste for certain foods? Not yet, but a team of Penn State researchers is developing a novel electronic tongue that mimics how taste influences what we eat based on both needs and wants, providing a possible blueprint for AI that processes information more […]
AI ten times faster at drug discovery: 1.5 billion potential compounds screened
From Journal of Chemical Information and Modeling 01/10/23 Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland teamed up with industry and supercomputers to carry out one of the world’s largest virtual drug screens. In their efforts […]
I know what you are thinking: AI detects person’s intentions from just brain wave data
From DGIST (Daegu Gyeongbuk Institute of Science and Technology) 22/09/23 The research team led by Professor Sanghyun Park from the Department of Robotics and Mechanical Engineering at DGIST (President Kuk Yang) announced that they have developed a few-shot learning model capable of accurately classifying brain waves using a small amount of information. A large amount […]
AI drone racing pilot beats human world champions
From University of Zurich 31/08/23 Remember when IBM’s Deep Blue won against Gary Kasparov at chess in 1996, or Google’s AlphaGo crushed the top champion Lee Sedol at Go, a much more complex game, in 2016? These competitions where machines prevailed over human champions are key milestones in the history of artificial intelligence. Now a […]
AI can tell chemical composition from sample images alone
From Hokkaido University 30/08/23 Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample. Have you ever accidentally ruined a recipe in the kitchen by adding salt instead of sugar? Due to their similar appearance, it’s an easy mistake to make. Similarly, checking with the […]
AI speeds up Python code programs by thousands of times
From University of Massachusetts Amherst 29/08/23 A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow—up to 60,000 times slower than code written in other programming languages—and Scalene works to efficiently identify exactly where […]
AI spots brain disorders by listening to someone talk
From Hefei Institutes of Physical Science, Chinese Academy of Sciences 25/08/23 A research team led by Prof. LI Hai from Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences (CAS) concluded their research in AI-powered language assessment for cognitive and motor disorders field in a series of paper recently. Acoustic and linguistic features in […]
AI estimates rice yields from crop images
From Okayama University 24/08/23 With the rise in global demand for staple crop products projected to substantially increase by 2050 due to population growth, rising per capita income, and the growing use of biofuels, it is necessary to adopt sustainable agricultural intensification practices in existing croplands to meet this demand. However, estimation processes currently employed […]