How robots learn to hike
Researchers have developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.
Harnessing noise in optical computing for AI
A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help enhance the creative output of the artificial neural network within the system.
Rise of the machines: Robot umpires moving up to Triple-A baseball for 2022
Major League Baseball is expanding its automated strike zone experiment to Triple-A, the highest level of the minor leagues
DeepMind co-founder leaves Google after a rocky tenure.
Mustafa Suleyman, who played a key role in the company’s work on health care technology, is joining Greylock Partners, a Silicon Valley venture capital firm.
Meta's 'data2vec' is the next step toward One Neural Network to Rule Them All
By eschewing data-specific outputs for internal representations, Meta aims for a more-general sort of AI.
Elon Musk’s brain chip firm Neuralink lines up clinical trials in humans
Silicon Valley company has already implanted AI microchips in brains of a macaque and a pig
Toshiba expands Elera commerce platform with AI vision, IT microservices, more
Toshiba has developed 45 IT microservices and hundreds of APIs to help retailers integrate apps and try out new ideas.
Artificial Intelligence Used To Search for the Next SARS-COV-2
Daniel Becker, an assistant professor of biology in the University of Oklahoma’s Dodge Family College of Arts and Sciences, has been leading a proactive modeling study over the last year and a half to identify bat species that are likely to carry bet
AI bias harms over a third of businesses, 81% want more regulation
AI bias is already harming businesses and there’s significant appetite for more regulation to help counter the problem.
Automation could make 12 million jobs redundant. Here's who's most at risk
Up to 34% of jobs risk being lost to automation by 2040. But technology will also create new workforce opportunities.
When Should Someone Trust an AI Teammate’s Predictions?
Researchers have created a method to help workers collaborate with artificial intelligence systems. In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images.
Why AI needs human intervention
In today’s tight labour market and hybrid work environment, organizations are increasingly turning to AI to support various functions within their business, from delivering more personalized experiences to improving operations and productivity to helping organizations make better and faster decisions.
How well do explanation methods for machine-learning models work?
Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated with tumors, like a watermark or timestamp, rather than actual signs of tumors.
When should someone trust an AI assistant's predictions?
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients' X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI's
Artificial intelligence can discriminate on the basis of race and gender, and also age
We have accepted the use of artificial intelligence (AI) in complex processes—from health care to our daily use of social media—often without critical investigation, until it is too late. The use of AI is inescapable in our modern society, and it may perpetuate discrimination without its users being aware of any prejudice.
Can We Tell if Machine-Learning AI Models Are Working Correctly?
How well do explanation methods for machine-learning models work? Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly. Imagine a team of physicians using a neural network to detect cancer in mammogram images.
Robotaxis get new learning strategies to face "the edge"
Self-driving vehicles have a lot to learn. Fortunately this electric autonomous fleet is a quick study.
Rackspace grows Asia Pacific presence with Just Analytics acquisition
Rackspace plans to leverage Just Analytics to help build out its data and Microsoft Azure roadmap in the region.