The fastest electric vehicle charging stations currently get an empty battery to 80 percent full in about 30 minutes. But a new company is working on swapping out empty battery packs for fully charged ones. That would get an electric vehicle to 100 percent full in about 10 minutes. Ample, which officially launched this week at two sites in San Francisco and another Oakland, builds and operates battery-swapping stations that use a robot to pluck out dead battery packs from under the car and replace them with packs fully charged and ready to go. The Ample stations can be set up anywhere close to a power source so that the robot machine can get under the belly of the car and also charge a waiting supply of replacement batteries. The stations are completely autonomous and you don't even have to get out of the car while the batteries are switched.
Using AI for knowledge management is a great way to industrialise years of innovation on a company-wide level, writes Dr Warrick Cooke, Consultant at Tessella. An engineer who has worked in the same place – a factory, oil rig, nuclear power plant – for 20 years will be an expert in that facility. Their been-there-done-that experience means they can quickly make good decisions on the best response to a wide range of scenarios. That knowledge would be hugely valuable to others. It is also knowledge that will be lost when they move on.
In just two decades, China sent people into space, built its own aircraft carrier and developed a stealth fighter jet. Now the world's youngest superpower is setting out to prove its capabilities once more -- this time in semiconductors. At stake is nothing less than the future of the world's No. 2 economy. Beijing's blueprint for chip supremacy is enshrined in a five-year economic vision, set to be unveiled during a summit of top leaders in the capital this week. It's a multi-layered strategy both pragmatic and ambitious in scope, embracing aspirations to replace pivotal U.S. suppliers -- and fend off Washington -- while molding homegrown champions in emergent technologies.
Nokia and the University of Technology Sydney (UTS) have announced a five-year partnership to launch a 5G lab. To be built and run at the university's Tech Lab campus in Botany, Sydney, the lab will be used by the pair and their partners to live-test 5G use cases around the campus, including applications for IoT and smart cities. Nokia said the facility would also serve as a research environment to "explore the capabilities of 5G and 6G technologies for industry 4.0 applications such as industrial automation, agriculture and human-robot interactions, as well as'Internet of Things' capabilities for Internet of Energy applications in smart grid, energy storage and management, and wireless power transfer". The facility itself will feature a 5G lab and demonstration area. It will also connect directly into the university's existing anechoic radio frequency test chamber, which Nokia said would allow researchers to test the potential of Nokia's Massive MIMO technology and other antenna technologies. The UTS campus will also receive 5G coverage to enable use case testing in the lab and the field, the company added.
More than 200,000 candidate materials were virtually screened by the system at Osaka University in Japan. The team of researchers then synthesized one of the most promising, and found its properties were consistent with the system's predictions. Machine learning allows computers to make predictions about complex situations, as long as the algorithms are supplied with sufficient example data. This is especially useful for complicated problems in material science such as designing molecules for organic solar cells, the researchers said, as it can depend on a vast array of factors and unknown molecular structures. It could take humans years to sift data to find underlying patterns, and even longer to test all the possible candidate combinations of'donor' polymers and'acceptor' molecules that make up organic solar cells.
California's high poverty rate, low wages and frayed public safety net require a new "social compact" between workers, business and government, according to a report by a blue-ribbon commission that highlights the state's widening inequality. In a report released Monday, the Future of Work Commission, a 21-member body appointed by Gov. Gavin Newsom in August 2019, laid out a grim picture of the challenges facing the world's fifth-largest economy, even as it acknowledged the Golden State's technology leadership, its ethnically and culturally diverse workforce and world-class universities. "Too many Californians have not fully participated in or enjoyed the benefits of the state's broader economic success and the extraordinary wealth generated here, especially workers of color who are disproportionately represented in low-wage industries," the report says. California has the highest poverty rate in the country when accounting for the cost of living, 17.2%, according to the report. Since 2012, wages in the state grew by 14% while home prices increased by 68%.
Cipher Skin, a startup developing a network of wraparound sensors that can deliver big data diagnostics, today announced it has raised $5 million in a series A round led by Boyett Group. The company says the funds, which bring Cipher's total raised to date to $7.8 million, will bolster development of the company's existing product line and new products in markets like oil, gas, and winemaking. After his career in the U.S. special operations forces, Cipher CEO Phillip Bogdanovich started training in the gym with Craig Weller, a physical coach he met when serving in Baghdad. Bogdanovich says that as soon as he was separated from Weller, he noticed his recovery began slowing. While back in the U.S., Bogdanovich and Weller began brainstorming how the training process could be scaled to allow people at home to experience the equivalent of a coach watching and providing feedback.
Konstantin Klemmer is a PhD student at the University of Warwick working at the intersection of machine learning and geographic data. He also serves as the Communications Chair for Climate Change AI. We talked about his research and the Climate Change AI organisation. Climate Change AI (CCAI) is a volunteer run organisation that catalyses impactful work at the intersection of climate change and machine learning by providing education and infrastructure, building a community, and advancing discourse. We also run a forum and regular community events like our fortnightly happy hour.
The role of artificial intelligence (AI) is evolving, especially in industrial organizations such as oil and gas, where data acts as a critical enabler to provide a competitive advantage. Industrial organizations operating in the fields of mining, oil, and gas; and marine, are going through a radical transformation and seeking innovative ways to optimize performance with minimized risk. The volatile and ever-competitive nature of the industrial companies demands them to identify new and innovative sustainable models to stay profitable, grow and unlock efficiencies. The situation has become more challenging in the wake of the coronavirus pandemic. According to a Capgemini research, over 50% of the European manufacturers, 30% in Japan, 28% in the USA, and 25% in South Korea implement AI solutions.
C3.ai's platform allows for the gluing together of AI programs in rapid fashion. "What would otherwise have taken months of programming by a data scientist can actually be done literally in days using the C3.ai platform." One of the most intriguing artificial intelligence firms to grab the public's attention in the past year is C3.ai, the creation of serial entrepreneur Tom Siebel, who sold his last company to Oracle for $6 billion. C3.ai came public in early December, representing the hopes of many investors to cash in on the artificial intelligence buzz, sporting the ticker symbol "AI." ZDNet caught up recently, via Zoom, with C3.ai's chief technology officer, Edward Y. Abbo, to discuss what goes into making C3.ai's artificial intelligence capabilities.