Deep learning algorithm to speed up materials discovery in emerging tech industries
Solid-state inorganic materials are critical to the growth and development of electric vehicle, cellphone, laptop battery and solar energy technologies. However, finding the ideal materials with the desired functions for these industries is extremely challenging. Jianjun Hu, an associate professor of computer science at the University of South Carolina is the lead researcher on a project to generate new hypothetical materials.
A 26-layer convolutional neural network for human action recognition
Deep learning algorithms, such as convolutional neural networks (CNNs), have achieved remarkable results on a variety of tasks, including those that involve recognizing specific people or objects in images. A task that computer scientists have often tried to tackle using deep learning is vision-based human action recognition (HAR), which specifically entails recognizing the actions of humans who have been captured in images or videos.
Google Promotes Halimah DeLaine Prado To General Counsel
Google announced that Halimah DeLaine Prado, a 14-year veteran of the company, has been promoted to serve as its General Counsel. The move would position DeLaine Prado as one of Google’s highest-ranking Black executives at the company.
Reviewing recent advancements in the development of neuro-inspired computing chips
In recent years, many research teams worldwide have been developing computational techniques inspired by the human brain, such as deep learning algorithms. While some of these techniques are considered highly promising for a wide range of applications, conventional hardware does not always support their computational load and thus can limit their performance.
Scientists use artificial intelligence in new way to strengthen power grid resiliency
A new artificial neural network model created by Argonne scientists handles both static and dynamic features of a power system with a relatively high degree of accuracy.
Chatbots Are Machine Learning Their Way To Human Language
Computers and humans have never spoken the same language. Over and above speech recognition, we also need computers to understand the semantics of written human language. We need this capability because we are building the Artificial Intelligence (AI)-powered chatbots that now form the intelligence layers in Robot Process Automation (RPA) systems and beyond.
3 Huge Ways Companies Are Delighting Customers With Artificial-Intelligence-Driven Services
We know that the range of AI-loaded smart products is constantly expanding. But what’s less obvious is how AI is also transforming the world of services – enabling service-based businesses to improve their offering, and even develop entirely new services and revenue streams that are underpinned by AI.
7 Successful Ways To Use Artificial Intelligence To Improve Your Business Processes
Now more than ever, you may be looking for ways to make your business more efficient, more streamlined, more cost-effective, and better able to cope with changing market needs. Artificial intelligence – in particular, AI-driven automation – is helping companies achieve all this and more.
May Mobility Prepares To Get Automated Ride Service Back On The Road In Grand Rapids
Ann Arbor, Michigan-based May Mobility is preparing to relaunch its automated mobility service in Grand Rapids, Mich. at the end of August. When the low-speed electric shuttles start again, they will be carrying passengers for the first time since pandemic lockdowns started in March 2020. I recently visited May in Grand Rapids to learn more about what has changed.
How The Human And Machine Workforce Is Being Accelerated By COVID-19
Just a few months ago, I wrote an article about human and machine partnerships in the workforce. Hosts of companies, from CVS to McDonald’s, were already using AI to enhance their human workforce with superhuman new efficiencies while also delivering premium customer experiences and cost savings.
The Impact of AI on Journalism
Back in 2014, the Los Angeles Times published a report about an earthquake three minutes after it happened. This feat was possible because a staffer had developed a bot (a software robot) called Quakebot to write automated articles based on data generated by the US Geological Survey. Today, AIs write hundreds of thousands of the articles that are published by mainstream media outlets every week.
Survey finds science fiction one of many factors impacting views of AI technology
For decades, Hollywood has made millions off of our fears that artificial intelligences such as HAL in 2001: A Space Odyssey and Skynet in The Terminator could one day control us or even wipe out humanity. But that was then. Today, we have kindler, gentler, real-life AIs like iPhone’s Siri and Amazon’s Alexa, and according to a new survey overseen by a team of University of Delaware researchers, many of us are more than happy to include this technology in our daily lives.
Want to teach an AI to deal with conditions it hasn't seen before? Start with Monopoly
Researchers from the USC Viterbi School of Engineering’s Information Sciences Institute (ISI) have partnered with Purdue University to take part in the Defense Advanced Research Projects Agency (DARPA)-funded program that seeks to develop the science that will allow AI systems to adapt to novelty, or new conditions that haven’t been seen before.
A memristor-based Hopfield neural architecture to solve combinatorial optimization problems
Over the past few years, many researchers have tried to develop techniques and technologies that can solve combinatorial optimization problems, which entail identifying an optimal item or solution within a set number of possibilities. Past studies have tackled these problems using annealing-inspired computing accelerators based on a variety of technological tools, including quantum, optical and electronic devices.
Scientists develop artificial intelligence system for high precision recognition of hand gestures
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed an Artificial Intelligence (AI) system that recognizes hand gestures by combining skin-like electronics with computer vision. The recognition of human hand gestures by AI systems has been a valuable development over the last decade and has been adopted in high-precision surgical robots, health monitoring equipment and in gaming systems.