Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs.
The global outbreak of the new Coronavirus brought to our attention an inconvenient truth about influenza: The seasonal flu kills between 291,000 to 645,000 people worldwide each year.
Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized acceleration hardware like graphics processing units (GPUs).
After a prolonged winter, artificial intelligence is experiencing a scorching summer mainly thanks to advances in deep learning and artificial neural networks. To be more precise, the renewed interest in deep learning is largely due to the success of convolutional neural networks (CNNs), a neural network structure that is especially good at dealing with visual data.
As one of the richest people in the world, Bill Gates is known for contributing to global health through the Gates Foundation. As his biggest legacy, Microsoft is also moving in the same direction.
In the age of artificial intelligence, technology has given us many online tools, apps, and robots to help us educate our children. But, as parents know, nothing beats one-on-one interaction between a parent and a child.
For the last 20 years, cynics have worried that the advancement of artificial intelligence (AI) would ravage businesses, leaving behind mass unemployment and an increase in wealth inequality.
As artificial intelligence continues to mature, we are seeing a corresponding growth in sophistication for humanoid robots and the applications for digital human beings in many aspects of modern-day life.
The field of artificial intelligence (AI) was begun in 1956, but it has been only in the last decade that significant progress has been made to allow the technology to be widely used and experienced by many outside technology circles.
It doesn’t seem too long ago that artificial intelligence (AI) was mostly the stuff of science fiction. Today it seems to be everywhere: in our home appliances, in our cars, in the workplace, even on our wrists.
The mysterious coronavirus is spreading at an alarming rate. There have been at least 305 deaths as more than 14,300 persons have been infected.
Artificial intelligence and machine learning are crucial to Google and its parent company Alphabet. Recently promoted Alphabet CEO Sundar Pichai has been talking about an “AI-first world” since 2016, and the company uses the technology across many of its businesses, from search advertising to self-driving cars.
AI at the edge allows mission-critical and time-sensitive decisions to be made faster, more reliably and with greater security. The rush to push AI to the edge is being fueled by the rapid growth of smart devices at the edge of the network—smartphones, smart watches and sensors placed on machines and infrastructure.
A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to tag road features in digital maps could help improve GPS navigation.
Samsung has developed artificial intelligence avatars that are virtually indistinguishable from real humans, according to leaked footage of the firm’s secretive Neon project.