As it pursues the goal of fully autonomous driving, Tesla has bet entirely on cameras and artificial intelligence, shunning other commonly used tools such as laser detection.
Tesla Chief Executive Elon Musk has touted a system built around eight “surround” cameras that feed data into the auto’s “deep neural network,” according to Tesla’s website.
But as with so many other things involving Tesla, there is controversy.
An autonomous drone delivers a defibrillator – and saves the life of a cardiac arrest patient. Swedish drone company Everdrone says it’s a medical history first – but the grateful patient says that it’s a technology that should be used everywhere.
For heart attack patients, seconds count: the minutes that an ambulance can take to reach a patient in cardiac arrest can mean the difference between life and death. Autonomous drones offer a game-changing solution. Autonomous drone specialists Everdrone operate the drone delivery system in Region Västra Götaland, supported by Vinnova, Swelife and Medtech4Health. Their innovative solution has been developed with Center for Resuscitation Science at Karolinska Institutet, SOS Alarm and Region Västra Götaland.
Now, the technology can claim a life saved. In Trollhättan, Sweden on December 92,021, an Everdrone autonomous drone delivered a defibrillator that helped save the life of a 71-year-old man.
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Bryan Learn, Christian Ahlin, Claudio Fernandes, Daniel Hasegan, Dennis Abts, Eric Haddad, Eric Martel, Evan Breznyik, Geronimo Moralez, James Watt, Javier Bustamante, John De Witt, Kaiesh Vohra, Kasia Hayden, Kjartan Olason, Levente Szabo, Lorin Atzberger, Lukas Biewald, Marcin Dukaczewski, Marten Rauschenberg, Matthias Jost„ Maurits van Mastrigt, Michael Albrecht, Michael Jensen, Nader Shakerin, Owen Campbell-Moore, Owen Skarpness, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil. https://www.patreon.com/TwoMinutePapers.
The following post was written and/or published as a collaboration between Benzinga’s in-house sponsored content team and a financial partner of Benzinga.
Robots patrolling around shopping malls, casinos and places of work actively looking for criminal activity might no longer be something straight out of a science fiction novel or movie. Knightscope, Inc., a Silicon Valley Based startup, is building and deploying fully autonomous security robots that deter, detect and report crime.
A research team from MIT, Columbia University, Harvard University and University of Waterloo proposes a neural network that can solve university-level mathematics problems via program synthesis.
NASA’s Artemis 1 mission, slated for take off as soon as this March, aims to send an Orion spacecraft around the moon. The cabin will be largely empty, save for an a interactive tablet that has been dubbed “Callisto,” which will sit propped up to face an astronaut mannequin. Callisto is essentially a touch-screen device that features reconfigured versions of Alexa, Amazon’s voice assistant, and Cisco’s teleconferencing platform WebEx.
Among the many aspects that will be closely watched on the ground — at least by the group behind this Alexa experiment — is how the virtual assistant performs in space. And if nothing else, it’ll be some well-placed advertising.
It’s all part of a collaboration between Amazon, (AMZN) Cisco (CSCO) 0, and Lockheed Martin (LMT) 0, which built the Orion capsule for NASA. Lockheed approached the other two companies with the idea of developing a virtual assistant about three years ago, the companies said, and they are paying the full cost of including the virtual assistant on the Artemis 1 mission. Lockheed is also reimbursing NASA for any help the agency has lent on this project through an arrangement called a Space Act Agreement, which allows the space agency to be compensated for expertise or resources it gives to companies working on certain space-related projects.
An evolution of its 2018 ‘Valkyrie’ hypersonic airliner concept.
If you work out of an office, you know that the coffee machine is the favorite spot in the office to hang out or have conversations at. From giving us the first cup of the day to keeping us awake for late-night meetings, that machine is a lifesaver. But just for a day, try not getting your coffee from the coffee machine. Don’t skip coffee entirely, but instead, go out to your local coffee shop that doesn’t use coffee machines or make yourself a flask at home. You will realize that hand-made coffee is inherently better than the one that is made from a machine. Not just making coffee, but highly creative jobs–like designing an outfit or writing a book–are considered best left to human creators. Many do not think that machines could emulate them. But with the takeover of artificial intelligence, this belief is steadily being challenged. Creativity and AI are together transforming many spaces that were traditionally reserved for the “artists.” In this article, we’ll be exploring these spaces and how AI is making a significant impact on them.
Creativity and AI Are Literally Changing the World When you think “creative,” the first things that come to mind are music, poetry and novels. The best works in these three areas of art have been the results of human imagination and innovation. Every significant progress in these fields has challenged traditional ways of creating art and presented a new side to human creativity. For example, there was a time when classical music was considered to be the peak of musical art, but today, we see hip-hop and K-pop taking over the world, their styles and structures very different from classical music.
The first-generation AI systems did not address these needs, which led to a low adoption rate. But the second-generation AI systems are focused on a single subject – improving patients’ clinical outcomes. The digital pills combine a personalised second-generation AI system along with the branded or generic drug and improve the patient response as it increases adherence and overcomes the loss of response to chronic medications. It works on improving the effectiveness of drugs and therefore reducing healthcare costs and increasing end-user adoption.
There are many examples to prove that there is a partial or complete loss of response to chronic medications. Cancer drug resistance is a major obstacle for the treatment of multiple malignancies, one-third of epileptics develop resistance to anti-epileptic drugs; also, a similar percentage of patients with depression develop resistance to anti-depressants. Other than the loss of response to chronic medications, low adherence is also a common problem for many NCDs. A little less than 50% of severely asthmatic patients adhere to inhaled treatments, while 40% of hypertensive patients show non-adherence.
The second-generation systems are aimed at improving outcomes and reducing side effects. To overcome the hurdle of biases induced by big data, these systems implement an n = 1 concept in a personalised therapeutic regimen. This focus of the algorithm improves the clinically meaningful outcome for an individual subject. The personalised closed-loop system used by the second-generation system is designed to improve the end-organ function and overcome tolerance and loss of effectiveness.