Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Veena Dubal about the ethical crisis of the gig economy. What is precarious work and how does it impact the psychology of labor? How might platforms like Uber and Lyft be negatively impacting their workers? How do gig economy apps control the lives of those who use them for work?
Tesla may be introducing machine-learning training as a web service with its upcoming'Dojo' supercomputer, CEO Elon Musk said on Twitter. Project Dojo was initially revealed by Musk last year and is a supercomputer which Tesla has been working on. The supercomputer has been designed to ingest massive amounts of video data and perform massive levels of unsupervised training on the visual data. The goal of Dojo will be to be able to take in vast amounts of data and train at a video level and do massive unsupervised training of vast amounts of video data. Dojo uses our own chips & a computer architecture optimized for neural net training, not a GPU cluster. Could be wrong, but I think it will be best in world.
Ongoing border restrictions and lower consumer appetite for international flights have changed travel as an industry. The two entrepreneurs said they believe machine learning and AI will change travel as an experience. "The business models of traditional corporate travel management companies have not evolved for decades," Kirtane stated. "Existing tools have not kept pace with the modern business traveler, and are generally not affordable by smaller and mid-sized businesses." "Hotels used to feel more technologically advanced than our homes but as IoT (Internet of Things), AI and consumer tech companies take the lead, the tech gradient has reversed -- hotels now feel lower tech than our own homes," said Ling of Vouch.
Amazon-owned Ring announced a new line of security cameras for cars: The new $199 Car Cam, $60 Car Alarm, and the Car Connect systems, which lal integrate with the Ring app. The Car Alarm plugs into your car's OBD-II diagnostic port and sends alerts to your phone. It has a built-in siren that can be remotely triggered, or it can link to other Ring or Alexa devices to emit audible alerts when an event is detected. As for the Car Cam, it is Ring's first camera for outside of the home and has the ability to record both inside and outside of the car when mounted on a dashboard. Like the Car Alarm, the Car Cam can send alerts.
An autonomous car programmed by a Carnegie Mellon University student team will race for the first time Sept. 24-25 when Roborace, an international competition for autonomous vehicles (AVs), begins its season on the island of Anglesey in Wales. In Roborace, each team prepares their own artificial intelligence algorithms to control their race car, but all of the teams use identically prepared AVs, compute platforms and venues. To prepare for this month's race, the CMU team spent the summer working on the fundamentals of driving and on building an optimal driving path. But this week was the first time they had the chance to run their computer code on a hardware simulator. "Our minimum goal is to be able to get the car to start driving crash-free for now," said Anirudh Koul, an alumnus of the Language Technologies Institute's Master of Computational Data Science (MCDS) program and the team's coach. But the CMU team, the first U.S. team in Roborace, is confident that it will soon be competitive with other teams that have previous experience in the racing series.
Automated driving is advancing all the time, but there's still a critical missing ingredient: trust. Host Jennifer Strong meets engineers building a new language of communication between automated vehicles and their human occupants, a crucial missing piece in the push toward a driverless future. Credits: This episode was reported and produced by Jennifer Strong,Tanya Basu, Emma Cillekens and Tate Ryan-Mosley. We had help from Karen Hao and Benji Rosen.
Mexico's increasingly militarized crackdown of powerful drug cartels has left nearly 39,000 unidentified bodies languishing in the country's morgues – a grotesque symbol of the ever-burgeoning war on drugs and rampant violence. Investigative NGO Quinto Elemento Labs, in a recent report, found that an alarming number of people have been simply buried in common graves without proper postmortems, while others were left in funeral homes. The so-called war of drugs has claimed the lives of nearly 300,000 people over the last 14 years, while another 73,000 have gone missing. All the while, these cartels have yet to be designated formal terrorist organizations despite boasting well-documented arsenals of sophisticated weaponry to rival most fear-inducing militias on battlefields abroad. Just last month, reports surfaced that Mexico's Jalisco New Generation Cartel (CJNG) now possess bomb-toting drones – which The Drive's Warzone depicts as "small quadcopter-type drones carrying small explosive devices to attack its enemies."
Automakers have already spent at least $16 billion developing self-driving technology, with the promise of someday creating fully autonomous vehicles.2 What has been the result? Although it seems that we have more promises than actual progress, some encouraging experiments are now under way, and there have been intermediate benefits in the form of driver-assist safety features. Engineers started on this quest to automate driving several decades ago, when passenger vehicles first began deploying cameras, radar, and limited software controls. In the 1990s, automakers introduced radar-based adaptive cruise control and dynamic traction control for braking.
Here we are importing all libraries numpy for numerical analysis, pandas for data frame handling, datetime for date & time columns, adfuller, acf, pacf for time series statistical tools, rcParams for figure dimension sizes. It is a kind of univariate dataset. To read the month alone columns we use head for a view of first 5 rows. We are trying here that all the data points are collected on every 15th of every month. Now, we are trying to figure out the total number of passengers.
Baidu (NASDAQ:BIDU) recently hosted its annual Baidu World Conference in Beijing to showcase its latest technologies. The theme of this year's conference was the "Intelligence of Everything," with a heavy emphasis on artificial intelligence (AI) technologies in cars, wearables, and other connected devices. Let's examine four of these new AI technologies, how they'll expand Baidu's ecosystem, and whether or not they can strengthen its core business -- which still faces stiff competition from growing rivals like Tencent (OTC:TCEH.Y), Alibaba (NYSE:BABA), and ByteDance. Baidu announced that its autonomous vehicles have undergone six million kilometers of open road tests, carried 100,000 passengers across 27 cities, and experienced zero accidents. Baidu also showcased a fully autonomous robotaxi, which can carry passengers without a backup driver, and a new autonomous valet parking feature, and revealed a 5G "remote driving" feature which will allow human drivers to remotely control vehicles in case of emergencies.