Collaborating Authors


Hitting the Books: How autonomous EVs could help solve climate change


Climate change is far and away the greatest threat of the modern human era -- a crisis that will only get worse the longer we dither -- with American car culture as a major contributor to the nation's greenhouse emissions. But carbon-neutralizing energy and solutions are already on the horizon and, in some more developed countries like Sweden, are already being deployed. In his latest book, Our Livable World, science and technology analyst Marc Shaus, takes readers on a fascinating tour of the emerging tools -- from "smart highways" to jet fuel made from trash -- that will not only help curb climate change but perhaps even usher in a new, more sustainable, livable world. The following excerpt is reprinted from Our Livable World: How Scientists Today Are Creating the Clean Earth of Tomorrow by Marc Shaus. Reprinted with permission of Diversion Books.

How Chatbots Help Business Avoid the Fear of a Black-Box AI Planet


The rise of AI in business largely goes unquestioned, until a poor decision comes out of a black box that no one can fathom or that causes actual damage. To avoid this, businesses need to adopt AI tools that are provable and customer-friendly, with chatbots paving the way until AI can be truly trusted. In most business cases, artificial intelligence helps companies progress when it comes to their varied use cases. From understanding us humans and our convoluted languages, recovering data from forms, predicting outcomes etc., AI helps spot meaning, intent and value, and provides the power for chatbots, analytic services and other digital business tools. However, as with 5G and 4G before it, as with robots in factories, and those pesky vaccines that keep us alive, there is a narrative in the media that AI is here to destroy us, to wipe out jobs, to weaken employees and other negative outcomes.

NSF funds K-State research on artificial intelligence-based cyber-physical systems


MANHATTAN, Kan. (WIBW) - The National Science Foundation is funding a K-State professor's research on artificial intelligence-based cyber-physical systems. Kansas State University says Pavithra Prabhakar, an associate professor and Peggy and Gary Edwards chair in engineering in its computer science department, has been awarded $450,000 from the National Science Foundation to work on artificial intelligence-based controllers in the 3-year long project titled, "Scalable Formal Verification of ANN Controlled Cyber-Physical Systems." According to K-State, artificial intelligence-based controllers are increasingly used for modern-day cyber-physical and autonomous systems like driverless cars. It said these systems have been called on to perform sophisticated functions and operate in dynamic environments. It said the use of such controllers in driverless cars is highly safety-critical, where the vehicle is expected to not only stay in the right lane but avoid accidents with other cars and pedestrians crossing roadways under different lighting conditions.

"The Suicide of Our Troubles"


Please come out, we'd all love to see you.--Andrea Boyczuk She hadn't driven on 75 since before Christmas. There were lots of cars and self-driving trucks on the road, and in MR the sky had sprouted thousands of virtual signs, labels, and guides. It seemed a lot was going on. Eventually the silence made her edgy and she said, "So you're Lake Erie. How long have you been awake?" "I've been a legal person since 2017." The lake had a smooth, masculine voice, with none of the artificiality she'd heard in Mercury's on those occasions when she'd spoken to it directly and not through Donna. "I was made one so that the citizens of Ohio could litigate on my behalf. But I have a lot more resources since I have the actants' network attached to me."

JLR develops futuristic smart city hub in Ireland to test self-driving tech


According to JLR, it will span 12km of public roads, combining smart junctions and connected car parks to facilitate the harnessing of valuable sensor data and offer the unique ability to trial new technologies. Aptly named the Future Mobility Campus Ireland (FMCI), the facility will be equipped with sensors throughout the site, along with high-accuracy location systems, a data management and control centre and self-driving prototype vehicles. Russel Vickers (pictured above), chief executive officer at the FMCI, explained: "The smart-city zone provides a first-class facility for global companies to work together and develop world-leading technology, from autonomous vehicles to connected infrastructure. The testbed provides an opportunity to test in the real world and help answer some of the questions posed by the future of mobility in a collaborative and efficient way." As part of the trials, the company's all-electric performance SUV, the Jaguar I-PACE, will be deployed for testing.

Ocado, the tech startup you thought was a supermarket


IN A cavernous shed on an industrial park in Hampshire, hundreds of robots are at work in the "hive". In Ocado's latest Customer Fulfilment Centre (CFC), 65,000 orders a week are prepared for some of the grocer's 645,000 online customers. It is probably the most technologically advanced such centre in the world. Instead of ferrying crates on a long line of conveyor belts, as many CFCs do, it uses a three-dimensional grid system, or hive, to assemble customers' orders. Washing-machine-sized robots whizz this way and that on the top of the grid, pausing only for a second to pick up products and ferry them to "pick stations", where people put the orders together.

Will Robot Musicians replace real ones?


Artificial Intelligence seems to be taking over our lives and replacing jobs wherever possible. In the foreseeable future, there are quite a few professions that come to mind where robots can phase humans out. Uber drivers can be a thing of the past with self-driving cars, and data-entry positions can eventually be automated. And robot telemarketers have likely called your phone more than once this week. AI is tapping into nearly every market-even the music industry.

Neural networks give glimpse of the future to autonomous cars


The journey began with advanced driver-assistance systems, and while the destination is yet to be decided (will we really have fully autonomous, driverless cars on public roads?) the technology is locked in to become part of our lives. But even though there has been a lot of fanfare about vehicles already on the road being able to almost take over the majority of driving – Tesla along with Waymo are rarely out of the headlines in this field – there remain significant challenges to reaching the highest levels of automated driving. Perhaps one of the biggest issues to overcome is developing autonomous driving systems that can predict what is going to happen in certain scenarios and adapt. Something humans are incredibly good at. No doubt many people have debated how a self-driving vehicle would cope if it arrived at a multi-exit junction at the same time as other vehicles – who gives way to whom?

AI Is Transforming Ports to Their Smarter Versions in These 5 Ways!


Ports are adapting AI technologies to create a smarter version of themselves! Ports are one of the busiest sectors in today's world. With the rise in the trade, ports are facing a lot of pressure. This includes the increase in the number of cargoes and vessels, the size of them and the data that comes along with it. Furthermore, there is no such thing as enough manpower. So, artificial intelligence implementation has reduced much of the workload.

How AI & ML Are Being Used to Relieve Traffic Congestion


Do you think the traffic is bad where you live? Try moving to Boston, where commuters suffer the worst highway congestion in the nation. Residents of the New England city spent an average of 164 hours sitting in their vehicles going nowhere slowly last year, losing as much as $2,291 in personal value for the privilege. And that's nothing compared to the city found to be cursed with the worst highway tie-ups on the planet. Moscow commuters are known to have lost an average of 210 hours each last year to traffic jams.