New research offers recommendations for integrating autonomous driving tech into public transportation
Autonomous vehicle technology likely won't replace the workers behind the wheels of buses, vans and other vehicles shuttling people around cities and towns anytime soon, but mass transit authorities must examine how these technologies will affect both the operation of and the workforce driving public transportation.
Creating artificial intelligence that acts more human by 'knowing that it knows'
Development of metamemory in AI system allows it to adjust its understanding based on what it already knows, learning and evolving based on its environment as humans do.
Artificial Intelligence Model Can Successfully Predict the Reoccurrence of Crohn’s Disease
A deep learning model trained to analyze histological images of surgical specimens accurately classified patients with and without Crohn's disease recurrence, investigators report in The American Journal of Pathology. According to researchers, more t
New AI solutions help scientists track objects in images; will aid discoveries in life sciences
Object tracking—following objects over time—is an essential image analysis technique used to quantify dynamic processes in biosciences. A new application called TrackMate v7 enables scientists to track objects in images easily. TrackMate is a free, open-source tool available as part of the Fiji image analysis platform.
New study will help sharpen accuracy for climate-change models and weather prediction
A study led by Oak Ridge National Laboratory researchers promises to help sharpen accuracy for climate-change models and enable more reliable predictions of extreme weather.
Automation is not enough: Buildings need AI-powered smarts
The importance of healthy workplaces, security and conservation makes developing reliable AI-based smart building systems urgent.
Biologically plausible spatiotemporal adjustment helps train deep spiking neural networks
Spiking neural networks (SNNs) capture the most important aspects of brain information processing. They are considered a promising approach for next-generation artificial intelligence. However, the biggest problem restricting the development of SNNs is the training algorithm.
Creating artificial intelligence that acts more human by 'knowing that it knows'
A research group from the Graduate School of Informatics, Nagoya University, has taken a big step towards creating a neural network with metamemory through a computer-based evolution experiment. Their paper appears in Scientific Reports.
Robot dogs take a walk on the wired side
Robots are learning to walk and work. While robot dogs are not yet man's best friend, real autonomy and reasoning will make them useful companions in industry, search and rescue and even space exploration. But you must walk before you can run and machines are learning lessons from biology for better walking robots.
TERP: A method to achieve reliable robot navigation in uneven outdoor terrains
Autonomous mobile robots are already being tested and used for such applications as the delivery of parcels, surveillance, search and rescue missions, planetary/space exploration, and the monitoring of the environment. For these robots to successfully complete their missions, they need to be able to operate safely and reliably in uneven outdoor terrains, without colliding with nearby obstacles.
Early Detection of Arthritis Now Possible Thanks to Artificial Intelligence
Neural network learns to differentiate between healthy and inflamed bones using finger joints. Researchers have been able to teach artificial intelligence neural networks to distinguish between two different kinds of arthritis and healthy joints. The
Ionic Liquid-Based Reservoir Computers: Efficient and Flexible Edge Computing
Researchers from Japan design a tunable physical reservoir device based on dielectric relaxation at an electrode-ionic liquid interface. In the near future, more and more artificial intelligence processing will need to take place on the edge — close
Methods that help users decide whether to trust a machine-learning model's predictions can perpetuate biases
When the stakes are high, machine-learning models are sometimes used to aid human decision-makers. For instance, a model could predict which law school applicants are most likely to pass the bar exam to help an admissions officer determine which students should be accepted.
Gary Marcus criticises Elon Musk’s AGI prediction
Gary Marcus has criticised a prediction by Elon Musk that AGI (Artificial General Intelligence) will be achieved by 2029 and challenged him to a $100,000 bet.
Multi-spin flips and a pathway to efficient Ising machines
In a rapidly developing world, industries are always trying to optimize their operations and resources. Combinatorial optimization using an Ising machine helps solve certain operational problems, like mapping the most efficient route for a multi-city tour or optimizing delivery of resources.
It’s no Mona Lisa, but this portrait of the Queen by a robot may well be art | Letter
Letter: With humans involved in supporting Ai-Da, it may be the 21st century’s iteration of the great masters’ Renaissance studios, says Rebecca Keating
Google no longer accepts deepfake projects on Colab
Google has added “creating deepfakes” to its list of projects that are banned from its Colab service.
Tamagotchi kids: could the future of parenthood be having virtual children in the metaverse?
According to an expert on artificial intelligence, would-be parents will soon be able to opt for cheap and cuddle-able digital offspring