‘Vicootes’, ‘wa ch zod rea’ and other strings of gibberish seem to have special meanings to state-of-the-art AI models. What’s going on here?
People looking for genuine relationships via the internet will need to become a lot more savvy about new technologies which expose them to romance fraud at an "entirely new level of risk," warns QUT internet fraud researcher Associate Professor Cassandra Cross.
During the Automate 2022 trade show on June 6-9 in Detroit, Southwest Research Institute is introducing new automation technology that allows industrial robots to visually classify work and autonomously perform tasks.
A groundbreaking AI-powered ship designed by IBM has successfully crossed the Atlantic, albeit not quite as planned.
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.
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.
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’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.
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.
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
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.
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.
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.
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
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.
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.
The importance of healthy workplaces, security and conservation makes developing reliable AI-based smart building systems urgent.
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.