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On a cloudy Christmas morning last year, a rocket carrying the most powerful space telescope ever built blasted off from a launchpad in French Guiana. After reaching its destination in space about a month later, the James Webb Space Telescope (JWST) began sending back sparkling presents to humanity--jaw-dropping images that are revealing our universe in stunning new ways. Every year since 1988, Popular Science has highlighted the innovations that make living on Earth even a tiny bit better. And this year--our 35th--has been remarkable, thanks to the successful deployment of the JWST, which earned our highest honor as the Innovation of the Year. But it's just one item out of the 100 stellar technological accomplishments our editors have selected to recognize. The list below represents months of research, testing, discussion, and debate. It celebrates exciting inventions that are improving our lives in ways both big and small. These technologies and discoveries are teaching us about the ...
Elon Musk has long used his mighty Twitter megaphone to amplify the idea that Tesla's automated driving software isn't just safe -- it's safer than anything a human driver can achieve. That campaign kicked into overdrive last fall when the electric-car maker expanded its Full Self-Driving "beta" program from a few thousand people to a fleet that now numbers more than 100,000. The $12,000 feature purportedly lets a Tesla drive itself on highways and neighborhood streets, changing lanes, making turns and obeying traffic signs and signals. As critics scolded Musk for testing experimental technology on public roads without trained safety drivers as backups, Santa Monica investment manager and vocal Tesla booster Ross Gerber was among the allies who sprang to his defense. "There has not been one accident or injury since FSD beta launch," he tweeted in January.
We consider the problem of optimizing the distribution operations of a hub using drones to deliver medical supplies to different geographic regions. Drones are an innovative method with many benefits including low-contact delivery thereby reducing the spread of pandemic and vaccine-preventable diseases. While we focus on medical supply delivery for this work, it is applicable to drone delivery for many other applications, including food, postal items, and e-commerce delivery. In this paper, our goal is to address drone delivery challenges by optimizing the distribution operations at a drone hub that dispatch drones to different geographic locations generating stochastic demands for medical supplies. By considering different geographic locations, we consider different classes of demand that require different flight ranges, which is directly related to the amount of charge held in a drone battery. We classify the stochastic demands based on their distance from the drone hub, use a Markov decision process to model the problem, and perform computational tests using realistic data representing a prominent drone delivery company. We solve the problem using a reinforcement learning method and show its high performance compared with the exact solution found using dynamic programming. Finally, we analyze the results and provide insights for managing the drone hub operations.
New York (CNN Business)Talk of a possible Apple car is back. Apple (AAPL) hasn't commented publicly on its plans for the project, nicknamed Titan, so it's not clear exactly what will come of the effort. Some who follow the company think it could release a whole Apple-branded, electric, self-driving car. Others think it's more likely Apple will partner with existing automakers to sell an operating system (iDrive, maybe?), self-driving tools or other technology. There are some clues available, though.
Apple Inc. is moving forward with self-driving car technology and is targeting 2024 to produce a passenger vehicle that could include its own breakthrough battery technology, people familiar with the matter said. The iPhone-maker's automotive efforts, known as Project Titan, have proceeded unevenly since 2014, when it first started to design its own vehicle from scratch. At one point, Apple drew back the effort to focus on software and reassessed its goals. Doug Field, an Apple veteran who had worked at Tesla Inc., returned to oversee the project in 2018 and laid off 190 people from the team in 2019. Since then, Apple has progressed enough that it now aims to build a vehicle for consumers, two people familiar with the effort said, asking not to be named because Apple's plans are not public.
Apple is moving forward with self-driving car technology and is targeting 2024 to produce a passenger vehicle that could include its own battery technology, people familiar with the matter told Reuters. The iPhone maker's automotive efforts, known as Project Titan, have proceeded unevenly since 2014 when it first started to design its own vehicle from scratch. At one point, Apple scaled back the effort to focus on software and reassessed its goals. Doug Field, an Apple veteran who had worked at Tesla, returned to oversee the project in 2018 and laid off 190 people from the team in 2019. Since then, Apple has progressed enough that it now aims to build a vehicle for consumers, two people familiar with the effort said, asking not to be named because Apple's plans are not public.
Back in March 1976, a story by Tony Curtis – no, not that one – appeared in Wheels. 'In The Year 2025' was a bit of a depressing read, to be honest. Inspired by Orwell's 1984, the author told a tale of all private motor vehicles being banned by the overarching hand of the state by 1985. Swing and a miss there. Yet glance through the 1976 issue and some things are all too familiar.
Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola, Jaques, Natasha, Waldman-Brown, Anna, Luccioni, Alexandra, Maharaj, Tegan, Sherwin, Evan D., Mukkavilli, S. Karthik, Kording, Konrad P., Gomes, Carla, Ng, Andrew Y., Hassabis, Demis, Platt, John C., Creutzig, Felix, Chayes, Jennifer, Bengio, Yoshua
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.
I originally wrote and published a version of this article in September 2016. Since then, quite a bit has happened, further cementing my view that these changes are coming and that the implications will be even more substantial. I decided it was time to update this article with some additional ideas and a few changes. As I write this, Uber just announced that it just ordered 24,000 self-driving Volvos. Tesla just released an electric, long-haul tractor trailer with extraordinary technical specs (range, performance) and self-driving capabilities (UPS just preordered 125!). And, Tesla just announced what will probably be the quickest production car ever made -- perhaps the fastest. It will go zero to sixty in about the time it takes you to read zero to sixty. And, of course, it will be able to drive itself. The future is quickly becoming now.
I originally wrote and published a version of this article in September 2016. Since then, quite a bit has happened, further cementing my view that these changes are coming and that the implications will be even more substantial. I decided it was time to update this article with some additional ideas and a few changes.