On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.
A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.
Scientists explore the potential uses of integrated unmanned aerial vehicles and mobile robots for public good.
A simulation consisting of 27 AIs representing different regions in climate negotiations is part of a competition to find out which policies and incentives could have the best chances of success
AI super resolution improves video and images for satellite imagery, digital cameras, medical and security purposes, entertainment and more.
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the "black box" of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.
As the AI community puts a growing focus and resources toward data-driven, deep learning–based approaches, experts warn that what seems to be a human-like performance is, in fact, a shallow imitation that misses key components of intelligence.
How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate in large crowded cities. While humans can imagine complete physical structures of objects even when they are partially occluded, existing artificial intelligence (AI) algorithms that enable robots and self-driving vehicles to perceive their environment do not have this capability.
2022 has seen incredible growth in foundation models, or large-scale AI models trained on a massive scale. What does the future hold?
A new EU AI Act draft shows that regulatory oversight of AI and the data fed into AI systems will increase in Europe and also globally.
Mapped helps companies discover and utilize data from building systems, sensors and equipment from different vendors.
An art prize at the Colorado State Fair was awarded last month to a work that—unbeknown to the judges—was generated by an artificial intelligence (AI) system.
Meta-created framework PyTorch now has an independent foundation to drive the adoption of AI tooling.
A team of researchers at University College London, working with a colleague from Nylers Ltd. and another from XPCI Technology Ltd., has developed a new way to X-ray luggage to detect small amounts of explosives. In their paper published in the journal Nature Communications, the group describes modifying a traditional X-ray device and applying a deep-learning application to better detect explosive materials in luggage.
The internet had a collective feel-good moment with the introduction of DALL-E, an artificial intelligence-based image generator inspired by artist Salvador Dali and the lovable robot WALL-E that uses natural language to produce whatever mysterious and beautiful image your heart desires.
In recent years, engineers and computer scientists have created a wide range of technological tools that can enhance fitness training experiences, including smart watches, fitness trackers, sweat-resistant earphones or headphones, smart home gym equipment and smartphone applications.
The latest IBM mainframe update for Linux provides more power and resilience for mission-critical enterprise workloads.
AI art tools like DALL-E, Midjourney and Stable Diffusion are starting a revolution in the way art is made.