IBM’s AI-powered Mayflower ship crosses the Atlantic
A groundbreaking AI-powered ship designed by IBM has successfully crossed the Atlantic, albeit not quite as planned.
How sports clubs achieve a slam dunk in loyalty with data
The way we watch, engage, and interact with our favourite sports clubs is undergoing a seismic shift. Recent UK research suggests that data will now have a more important role in fan engagement than ever before. In this article, we take a closer look at what this means for sports clubs serious about future-proofing their strategy to attract and retain loyal fans.
The signature of taste: New technology for the food and beverage industry
Blending whiskies from different casks is an art in itself. Whisky blenders are luminaries of their guild. Just as painters mix colors to capture mood on canvas, the experts in distilleries combine flavors to create "liquid gold." They follow their intuition, which is based on experience and a keen sense of taste and smell.
Neuroscientist explains differences between AI and human learning
Recently developed artificial intelligence (AI) models are capable of many impressive feats, including recognizing images and producing human-like language. But just because AI can perform human-like behaviors doesn't mean it can think or understand like humans.
We're told AI neural networks 'learn' the way humans do. A neuroscientist explains why that's not the case.
We’ve seen AI systems writing texts that are indistinguishable from human texts. Some are even rendering impressive 3D artworks from short text inputs. But it doesn’t mean they can ‘think’ like us.
Making Traffic Jams a Thing of the Past – AI Traffic Light System Could Drastically Reduce Congestion
A new artificial intelligence system reads live camera footage and adapts the lights to compensate In 2014, Americans spent 6.9 billion hours trapped in traffic. During traffic jams, the average commuter used an extra 19 gallons of gas. This amounts to $160 billion in lost time and fuel each year.
AI translates maths problems into code to make them easier to solve
An artificial intelligence that can turn mathematical concepts written in English into a formal proving language for computers could make problems easier for other AIs to solve
Listening to asthma and COPD: An AI-powered wearable could monitor respiratory health
Researchers are developing an AI-powered device to detect asthma and COPD symptoms in real-time for faster treatment. The ‘patch’ listens to airway sounds, but filters out speech to protect privacy.
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.