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.
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.
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.
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.
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.
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.
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.
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 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.
Thanks to the Internet of Things (IoT), artificial intelligence (AI), and advances in sensor technology, a whole host of everyday products are getting smarter. We have smart TVs and smartwatches. We have smart running shoes – or rather, smart insoles – that gather data on your running performance. You can even get smart nappies that send an alert to your phone when your baby’s nappy needs changing.
No organization can afford to sit back and ignore the potential of AI. Yet, rushing to adopt AI just because the technology exists can be just as damaging to a business. To fully realize the potential of AI – indeed, any new technology – you need to approach it with a clear business goal or need in mind.
I was recently sent a copy of “Turning Point: Policymaking in the Era of Artificial Intelligence,” by Darrell M. West and John R. Allen, both of the Brookings Institution. It’s a high level overview of issues pertaining to artificial intelligence (AI), issues that impact both governments and industry. It’s an excellent book for middle and upper level management, even with the one significant flaw I noticed.
New simulations suggest that law enforcement efforts to disrupt Sicilian Mafia activity could benefit from analytical strategies that capture the shortest paths of information flow that Mafia members maintain to minimize risk of interception. Lucia Cavallaro of the University of Derby, U.K., Annamaria Ficara of the University of Palermo, Italy, and colleagues present these findings in the open-access journal PLOS ONE on August 5, 2020.
Covid-19 is challenging to treat. Research shows that there can be six distinct “types” of the disease involving different clusters of symptoms. The coronavirus can infect different organs of the body leading to a variety of symptoms. While pharmaceutical companies are working on a vaccine, a team of scientists led by Dan Jacobson at the Oak Ridge National Laboratory (ORNL) has been working to understand the systems biology of the virus using data analytic, and explainable AI tools on ORNL’s Summit supercomputer.
Each industrial revolution has brought with it new ways of working – think of the impact computers and digital technology (the third industrial revolution) have had on how we work. But this fourth industrial revolution – what I call the “intelligence revolution,” because it is being driven by AI and data – feels unprecedented in terms of the sheer pace of change.
Leading Global Experts Assembled By The Digital Pioneers Network Show A Vision Of The Post Covid World Where AI And Digital Solutions Will Reinvent Healthcare Forever
Healthcare is so critical to our economy that it most likely accounts for over 20% of the US GDP by 2025. Healthcare has received the most attention in the fight against Coronavirus, exposing various weaknesses in the current system and shedding light on areas in dire need of improvement.