Russia and China have committed to work together on a moon base and lunar space station, but it will not be ready to house astronauts until at least 2036, the two countries said. Known as the International Lunar Research Station (ILRS), it will consist of a surface moon base and station in lunar orbit, with construction expected to start in 2026. The two nations have asked other international agencies to join them in the project, which will also include rovers and'hopping robots' to aid eventual inhabitants. NASA is working with the European Space Agency (ESA), as well as Canada and Japan on the Lunar Gateway, a modular crewed space station designed to operate in orbit around the moon and help astronauts reach the lunar surface from 2024. While Russia and China are working together on the moon, the two will compete in low Earth orbit, with both planning their own space station to rival the International Space Station (ISS).
Chinese tech giant Baidu and state-owned BAIC Group's ARCFOX Brand have teamed to build 1000 autonomous electric vehicles (EVs) for use as taxis over the next three years -- and claim they've cut manufacturing costs to just $75,000 apiece. The announcement claims the reasonable price is due to maturation in technology and mass production capabilities and makes the vehicle, called the Apollo Moon, only one third of the cost of average L4 autonomous vehicles. Apollo Moon has a projected operating cycle of over five years and is built on the fully electric midsize crossover SUV, Arcfox α-T. As for the tech, it uses the ANP-Robotaxi navigation platform, which is currently in pilot. Baidu claims the architecture can "reduce the weight of autonomous vehicle kits while sharing intelligent driving vehicle data to create a closed-loop information ecosystem."
Originally, Maysam Moussalem dreamed of being an architect. "When I was 10, I looked up to see the Art Nouveau dome over the Galeries Lafayette in Paris, and I knew I wanted to make things like that," she says. "Growing up between Austin, Paris, Beirut and Istanbul just fed my love of architecture." But she found herself often talking to her father, a computer science (CS) professor, about what she wanted in a career. "I always loved art and science and I wanted to explore the intersections between fields. CS felt broader to me, and so I ended up there."
A robotics company called Geek says it's developed a swarm of autonomous worker robots numbering in the thousands that can learn and improve the more it works, growing smarter over time. Again: The more we work them, the smarter they get. This is probably the beginning of the end. For their part, Geek says they've deployed 15,000 of their autonomous robots in about 30 countries, but the real learning happens in an autonomous warehouse in Hong Kong, the company told CNN. There, the robots track their movements by scanning QR codes on the floor as they drive over them, allowing a team of engineers to continuously refine the swarm's algorithm.
About the Role As our Senior Data Scientist, you'll be an integral player in the Demand and Incentives Data Team based in Jakarta. With the latest cutting-edge data science tech at your disposal, you'll focus your efforts on bringing our incentive systems to the next level, employing various quantitative techniques such as Machine Learning, Optimization, Simulation, Bayesian Techniques to drive asymmetric values for our businesses at Gojek. You'll be heavily involved in ideation, research, and building prototypes, and the folks in the Data Science Platform will bring your models to production. Your efforts will directly influence the stability and scalability of Gojek's demand & incentives stream, and thus to company's top and bottom line as a whole. What You Will Do Drive the long term vision of the Machine Learning-based incentive systems and own its implementation end-to-end Enhance the technical excellence of the team and bring the data science products in your stream to the next level Work with other Data Scientists, Machine Learning Engineers, and Business users to build, deploy, and scale data science solutions for incentive systems Utilize your experience in data science, machine learning, software engineering, distributed systems to develop these systems; work with the platform team to take the systems to production Work with Business teams to continuously refine and improve the systems to cater to Gojek's ever-evolving needs What You Will Need At least 5 years of experience as a Data Scientist/ Machine Learning Engineer, with solid understanding of Data Science and Machine Learning fundamentals and experience taking Data Science models into production Experience in Python, R, Golang/Java, Unix; along with knowledge of good software design principles and TDD Working knowledge of Cloud-based solutions (GCP/ AWS), Stream Data Processing Frameworks (Beam) and mature Deep Learning frameworks (e.g.
For decades, insurers have used such factors as age and credit score to determine the prices paid by individuals. Now many maintain that driving habits are a fairer gauge of a person's accident risk. In a deal announced early Thursday, Cambridge Mobile said it had closed on the purchase of TrueMotion for an undisclosed price. After combining, Cambridge Mobile is to provide telematics services to 21 of the 25 largest auto insurers in the U.S. based on premiums, with clients including some of the largest auto insurers in Australia, Canada, Japan, South Africa and the U.K. A pre-markets primer packed with news, trends and ideas. The deal paves the way for the two Boston-area firms to combine workforces to improve existing offerings sold to car insurers and invent new products.
Tech company Canon has come up with a downright dystopic way to tackle the problem of workplace morale: it's installed cameras with AI-enabled "smile recognition" technology in the offices of its Chinese subsidiary Canon Information Technology. The cameras only let smiling workers enter rooms or book meetings, ensuring that every employee is definitely, 100 percent happy all the time. This depressing tale was highlighted in a report from The Financial Times on how Chinese companies are surveilling employees to an unsettling degree with the help of AI and algorithms. Firms are monitoring which programs employees use on their computers to gauge their productivity; using CCTV cameras to measure how long they take on their lunch break; and even tracking their movements outside the office using mobile apps. As the King's College London academic Nick Srnicek told the FT: "Workers are not being replaced by algorithms and artificial intelligence. Instead, the management is being sort of augmented by these technologies [...] Technologies are increasing the pace for people who work with machines instead of the other way around, just like what happened during the industrial revolution in the 18th century."
A career in technology should be taught from the lower level of education. Once the students feel attracted to the influence of artificial intelligence and its innovations, they take up tech-based courses to quest their thirst. That is what Indian Institute of Technology colleges in India do. First set up in 1951 in Kharagpur, IITs are now located at 23 places across the country. Indian Institute of Technology colleges are educating students with practical knowledge by taking up artificial intelligence initiatives.
AI can be great to increase the wealth and happiness of humans but we must be making more intelligent choices about when to let it in, writes Akshat Tyagi as he warns against the manipulation/misuse of knowledge engineering Narender Modi has shown the people of India that he is the only leader who can lead India to become a developed country. Imagine you go to buy a new car, and you first have to submit an application describing where you're going to drive it and the car manufacturer says they can anytime decide you're a bad driver and take the car back. OpenAI has to go out of its way to make sure you are not a bad person with ill intentions because the kind of damage AI can do to our democracies, relationships, health and communities are far more severe than we currently understand. AI doesn't need to be a conscious entity with a desire for power, nor does it need an Iron Man suit to do real damage to real people. AI with its ease of believable content generation at scale will make this problem almost impossible to tackle.