Social robots, robots that can interact with humans and assist them in their daily lives, are gradually being introduced in numerous real-world settings. These robots could be particularly valuable for helping older adults to complete everyday tasks more autonomously, thus potentially enhancing their independence and well-being.
Scientists at Osaka University have created a machine learning system that is capable of virtually removing buildings from a live view. By using generative adversarial networks (GAN) algorithms running on a remote server, the team was able to stream in real-time on a mobile device.
The results of recent research have broad implications for dementia treatment. More individuals are surviving into old age globally thanks to improvements in public health over the last several decades. Dementia, notably Alzheimer's disease, and othe
Average of 362 abusive tweets sent each day, often about race and sexuality, with Man United stars the most targeted
People at school, places of employment and many other settings often consider it worthwhile to find a group of peers to work or socialize with. But it can also be useful to organize companies into groups of peers, says Manish Singh, a Ph.D. student in the Department of Electrical Engineering and Computer Science.
Harnessing the power of robotics and machine intelligence, researchers from Princeton Engineering and Rutgers University have found a way to design stable proteins in a fraction of the time of current state of the art. The team's robotics platform speeds things up more than tenfold, and their computational approach finds solutions anywhere from weeks to years faster than what is possible by human intelligence alone.
Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with these materials can be a complex, costly conundrum.
A new computer vision system watches the 3D printing process and adjusts velocity and printing path to avoid errors. Training the system in simulation, researchers avoid the costly trial-and-error associated with setting 3D printing parameters for new materials.
Artificial vision systems are implemented in motion sensing, object detection, and self-driving vehicles. However, they are not suitable for changing external environments and are limited to a hemispherical field-of-view (FOV). Addressing this issue, researchers have now developed a novel artificial vision with 360-degree FOV that can image both terrestrial and aquatic environments.
New Hardware Delivers Faster Computation for Artificial Intelligence, With Much Less Energy MIT engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds. The amount of time, effort, and mon
A California-based organisation wants to harness the power of machine learning to decode communication across the entire animal kingdom. But the project has its doubters
The British scientist’s company employs artificial intelligence to drastically reduce the speed of drug development
Robots manipulate soft, deformable material into various shapes from visual inputs in a new system that could one day enable better home assistants. Many of us feel an overwhelming sense of joy from our inner child when stumbling across a pile of the
In Sept. 2020, The Guardian published an opinion piece written by a program. The artificial intelligence, called GPT-3, is a large language model developed by OpenAI, and it posed a bold question in the headline of its machine-generated text: "A robot wrote this entire article.
An NHS trust in Liverpool is partnering with Tata Consultancy Services (TCS) to develop an AI chatbot to help tackle patient wait times.
AI-powered predictions of the three-dimensional structures of nearly all cataloged proteins known to science have been made by DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI). The catalog is freely and openly available to the scienti
MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.
A University of Washington team created a new tool that can design a 3D-printable passive gripper and calculate the best path to pick up an object. The team tested this system on a suite of 22 objects -- including a 3D-printed bunny, a doorstop-shaped wedge, a tennis ball and a drill.