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Many organizations will likely look to technology as they face budget cuts and need to reduce staff. “I don’t see us going back to the staffing levels we were at prior to COVID,” says Brian Pokorny, the director of information technologies for Otsego County in New York State, who has cut 10% of his staff because of pandemic-related budget issues. “So we need to look at things like AI to streamline government services and make us more efficient.”


For 23 years, Larry Collins worked in a booth on the Carquinez Bridge in the San Francisco Bay Area, collecting tolls. The fare changed over time, from a few bucks to $6, but the basics of the job stayed the same: Collins would make change, answer questions, give directions and greet commuters. “Sometimes, you’re the first person that people see in the morning,” says Collins, “and that human interaction can spark a lot of conversation.”

But one day in mid-March, as confirmed cases of the coronavirus were skyrocketing, Collins’ supervisor called and told him not to come into work the next day. The tollbooths were closing to protect the health of drivers and of toll collectors. Going forward, drivers would pay bridge tolls automatically via FasTrak tags mounted on their windshields or would receive bills sent to the address linked to their license plate. Collins’ job was disappearing, as were the jobs of around 185 other toll collectors at bridges in Northern California, all to be replaced by technology.

Machines have made jobs obsolete for centuries. The spinning jenny replaced weavers, buttons displaced elevator operators, and the Internet drove travel agencies out of business. One study estimates that about 400,000 jobs were lost to automation in U.S. factories from 1990 to 2007. But the drive to replace humans with machinery is accelerating as companies struggle to avoid workplace infections of COVID-19 and to keep operating costs low. The U.S. shed around 40 million jobs at the peak of the pandemic, and while some have come back, some will never return. One group of economists estimates that 42% of the jobs lost are gone forever.

Governments and business leaders pledged $8.8 billion on Thursday to a vaccine alliance backed by the Gates Foundation.

The money was raised at the Global Vaccine Summit, hosted by British Prime Minister Boris Johnson, with funds going toward global vaccine alliance Gavi’s efforts to immunize children amid the coronavirus crisis.


The funding was raised at a U.K.-hosted summit, which saw world leaders pledge billions of dollars to global vaccine alliance Gavi.

After pandemic-related delays, Russia’s first electric car, called the Zetta, is set to enter serial production in late 2020, the country’s Industry and Trade Minister Denis Manturov has revealed.


The Zetta will roll off the production line in the city of Tolyatti, one of the major centers of Russia’s automotive industry. The cars will first be sold on the domestic market, but the initial business project implies that the Zetta may be exported to other countries, Manturov said.

More than 1.4 million homes and businesses across New Jersey lost power as of Tuesday afternoon as powerful winds and heavy rains from Tropical Storm Isaias battered the Garden State.

That’s more than 25% of the utility customers in the state and half of JCP&L’s 1.1 million customers in the dark, according to outage maps provided by the three major utility companies in New Jersey.

It’s no secret that healthcare costs have risen faster than inflation for decades. Some experts estimate that healthcare will account for over 20% of the US GDP by 2025. Meanwhile, doctors are working harder than ever before to treat patients as the U.S. physician shortage continues to grow. Many medical professionals have their schedules packed so tightly that much of the human element which motivated their pursuit of medicine in the first place is reduced.

In healthcare, artificial intelligence (AI) can seem intimidating. At the birthday party of a radiologist friend, she gently expressed how she felt her job would be threatened by AI in the coming decade. Yet, for most of the medical profession, AI will be an accelerant and enabler, not a threat. It would be good business for AI companies as well to help, rather than attempt to replace, medical professionals.

In a previous article, I expressed three ways in which I consistently see AI adding value: speed, cost and accuracy. In healthcare, it’s no different. Here are three examples of how AI will change healthcare.

Consumers are ending up increasingly responsive about sharing their data, as data integrity and security has turned into a developing concern. In any case, with the advent of nations teching up with facial recognition, even explorers need to truly begin thinking about what sort of data they could be reluctantly offering to nations, individuals and places.

Facial recognition innovation is a framework that is fit for identifying or confirming an individual from an advanced picture or a video frame. It works by comparing chosen facial highlights and faces inside a database. The technology is utilized in security frameworks and can be compared with different biometrics, for example, fingerprint or iris recognition frameworks. As of late, it has been grabbed and utilized as a business identification and advertising tool. The vast majority have a cell phone camera fit for recognizing features to perform exercises, for example, opening said a cell phone or making payments.

The worldwide market for facial recognition cameras and programming will be worth of an expected $7.8 billion, predicts Markets and Markets. Never again consigned to sci-fi films and books, the technology is being used in various vertical markets, from helping banks recognize clients to empowering governments to look out for criminals. Let’s look at some of the top countries adopting facial recognition technology.

On August 2nd, the SpaceX crew dragon that launched on May 30th returned to Earth with the two NASA astronauts it brought to the ISS. With the first American space launch complete, the US has now advanced tremendously in its manned spaceflight capabilities.

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A New Zealand-based startup has developed a method of safely and wirelessly transmitting electric power across long distances without the use of copper wire, and is working on implementing it with the country’s second-largest power distributor.

The dream of wireless power transmission is far from new; everyone’s favorite electrical genius Nikola Tesla once proved he could power light bulbs from more than two miles away with a 140-foot Tesla coil in the 1890s – never mind that in doing so he burned out the dynamo at the local powerplant and plunged the entire town of Colorado Springs into blackout.

Tesla’s dream was to place enormous towers all over the world that could transmit power wirelessly to any point on the globe, powering homes, businesses, industries and even giant electric ships on the ocean. Investor J.P. Morgan famously killed the idea with a single question: “where can I put the meter?”

Too bad.


Nearly 500 pages of evidence were made public during the House Judiciary’s marathon hearing this week on potential anti-competitive actions by Amazon, Facebook, Google and Apple. We’ve collected them here with added context and an omnibus, searchable version for anyone who’d rather not juggle four dozen documents.

The emails, chat logs and other communications listed here trickled out online as the hearings went on. Many are internal documents that were never meant to be exposed publicly — for instance, Facebook CEO Mark Zuckerberg telling a colleague that “we can likely always just buy any competitive startups” shortly before acquiring Instagram in 2012.

Congressional investigators wield considerable power in compelling the release of such documents, even against the will of the companies, which would almost certainly never provide such self-incriminating information to journalists. As such, these documents contain all manner of useful information, most of it providing insight into the otherwise opaque thinking of executives as their companies made key decisions about growing their businesses — and hint at strategies traditionally employed by monopolies.

For a lot of smaller companies, AI isn’t part of the picture—not yet, at least. “Big companies are adopting,” says Brynjolfsson, “but most companies in America—Joe’s pizzeria, the dry cleaner, the little manufacturing company—they are just not there yet.”


A big study by the US Census Bureau finds that only about 9 percent of firms employ tools like machine learning or voice recognition—for now.