mobility service
- North America > United States > Massachusetts (0.50)
- North America > United States > Maryland (0.50)
- North America > United States > North Carolina > Mecklenburg County > Charlotte (0.40)
mPhase Names Machine Learning Expert Charles Martin to Advisory Board
The board will consist of independent advisors with specific skills and contacts in areas of importance for the ongoing development of the mPower suite of mobility services. AI and ML News: Why SMBs Shouldn't Be Afraid of Artificial Intelligence (AI) Charles Martin is considered a leading figure across multiple technology disciplines, with an established track record in machine learning, deep learning, data science, and AI software development, complemented by extensive domain experience in Natural Language Processing (NLP) for Search Relevance (as well as Text Generation and Quantitative Finance). Highly sought after in the software development field, he has personally developed and implemented machine learning (ML) systems at companies including Roche, France Telecom, GoDaddy, Aardvark (Google), eBay, eHow, Walmart, Barclays/BGI, and Blackrock. Much of his recent project work has been done under his advisory firm, Calculation Consulting, which he founded in 2010 to provide data science, machine learning, and deep learning solutions. He has also served as both a consultant and FTE distinguished engineer at GLG, a prestigious international consulting firm, where he developed AI methods for the search and recommendations platform.
- Education (0.73)
- Information Technology > Services (0.38)
mPhase Names Machine Learning Expert Charles Martin
The board will consist of independent advisors with specific skills and contacts in areas of importance for the ongoing development of the mPower suite of mobility services. Charles Martin is considered a leading figure across multiple technology disciplines, with an established track record in machine learning, deep learning, data science, and AI software development, complemented by extensive domain experience in Natural Language Processing (NLP) for Search Relevance (as well as Text Generation and Quantitative Finance). Highly sought after in the software development field, he has personally developed and implemented machine learning (ML) systems at companies including Roche, France Telecom, GoDaddy, Aardvark (Google), eBay, eHow, Walmart, Barclays/BGI, and Blackrock. Much of his recent project work has been done under his advisory firm, Calculation Consulting, which he founded in 2010 to provide data science, machine learning, and deep learning solutions. He has also served as both a consultant and FTE distinguished engineer at GLG, a prestigious international consulting firm, where he developed AI methods for the search and recommendations platform.
Baidu Apollo starts paid Robotaxi service in Changsha
Beijing (Gasgoo)- Baidu's autonomous driving mobility service, Apollo Go, started off pilot paid commercial operation in Changsha, the capital city of Hunan Province. As one of the earliest cities to adopt autonomous mobility services in China, Changsha holds a favorable ecosystem and test environment for the intelligent connected vehicle industry. The city established a national-level intelligent connected vehicle test area and a 100-square-kilometer intelligent connected open city road area. It constructed 100km of intelligent highway and a 7.8-km smart bus demonstration route. The achievements created the fundamental conditions for the development of Apollo Go's commercialization in the city.
- Automobiles & Trucks (1.00)
- Transportation > Ground > Road (0.79)
- Information Technology > Robotics & Automation (0.79)
Wejo Joins MONET Consortium to Further International Mobility Innovation
Wejo, a global leader in Smart Mobility for Good and cloud and software solutions for connected, electric, and autonomous vehicles, announced it has joined the MONET Consortium, an organization actively promoting collaboration and innovation for mobility services in Japan. As part of the MONET Consortium, Wejo will have the opportunity to work with companies selected from the hundreds of diverse and industry-leading members to drive forward mobility innovation and the mobility-as-a-service (MaaS) market, which could be worth $61 billion in 2030, according to Yano Research Institute. Bringing its groundbreaking solutions to the table, Wejo will provide new perspectives and ideas to the collective conversation while extending its influence in Japan which has the 3rd largest economy in the world and a high level of urbanization, making it naturally incentivized to develop smart mobility innovations. Japan, according to Statista's "Automobile Sector in Japan" report, also produces 8.1 million vehicles per year, which aligns with Wejo's aim to make a more globalized impact with its connected vehicle data and Smart Mobility for Good technology. "With the anticipated growth of MaaS offerings in Japan, we see the potential for a nearly three-billion-dollar addressable market by 2030 for Wejo Smart Mobility for Good products and services," said Richard Barlow, founder and CEO at Wejo. "We're honored to be a part of the MONET Consortium and be part of the conversations that will help accelerate mobility innovation in Japan."
- Transportation > Passenger (0.57)
- Transportation > Ground > Road (0.57)
- Automobiles & Trucks > Manufacturer (0.53)
Transfer learning for cross-modal demand prediction of bike-share and public transit
Hua, Mingzhuang, Pereira, Francisco Camara, Jiang, Yu, Chen, Xuewu
The urban transportation system is a combination of multiple transport modes, and the interdependencies across those modes exist. This means that the travel demand across different travel modes could be correlated as one mode may receive demand from or create demand for another mode, not to mention natural correlations between different demand time series due to general demand flow patterns across the network. It is expectable that cross-modal ripple effects become more prevalent, with Mobility as a Service. Therefore, by propagating demand data across modes, a better demand prediction could be obtained. To this end, this study explores various machine learning models and transfer learning strategies for cross-modal demand prediction. The trip data of bike-share, metro, and taxi are processed as the station-level passenger flows, and then the proposed prediction method is tested in the large-scale case studies of Nanjing and Chicago. The results suggest that prediction models with transfer learning perform better than unimodal prediction models. Furthermore, stacked Long Short-Term Memory model performs particularly well in cross-modal demand prediction. These results verify our combined method's forecasting improvement over existing benchmarks and demonstrate the good transferability for cross-modal demand prediction in multiple cities.
- Asia > China > Jiangsu Province > Nanjing (0.28)
- North America > United States > Illinois > Cook County > Chicago (0.27)
- North America > United States > New York (0.04)
- (3 more...)
- Transportation > Passenger (1.00)
- Transportation > Infrastructure & Services (1.00)
- Transportation > Ground > Road (1.00)
National Police Agency preparing for fully automated driving in limited areas
Japan is considering a system to screen and approve providers of fully automated driving services within limited areas, under the supervision of prefectural public safety commissions, the National Police Agency said Thursday. The agency says it aims to submit an amendment to the road traffic law to parliament next spring, as the government intends to start "Level 4" automated mobility services in designated areas of the country, such as along abandoned railroads, in the fiscal year that runs through March 2023. Operating under Level 4 automation, a vehicle always performs the functions of acceleration, steering and braking, including in emergencies, according to the Economy, Trade and Industry Ministry. A government panel that has been discussing the autonomous driving services, and new mobility concepts such as electric scooters, released its final report Thursday, which will serve as a basis for the police agency's amendment bill. According to the agency, the amendment will stipulate that fully automated driving will be allowed only for vehicles operated in designated areas for the purpose of providing mobility services for passengers, instead of private cars.
- Transportation > Ground > Road (1.00)
- Information Technology > Robotics & Automation (1.00)
- Automobiles & Trucks (1.00)
Honda to collaborate with GM over self-driving service in Japan
Honda Motor Co. said Wednesday it will collaborate with General Motors Co. and its unit Cruise LLC on launching a service using self-driving vehicles in Japan and start feasibility tests later this year. Automakers are scrambling to develop next-generation autonomous vehicles, with IT firms also joining the race. Honda and major U.S. carmaker GM agreed in 2018 to join hands in developing self-driving vehicles. Honda said it plans to start a mobility business using the Cruise Origin, a self-driving vehicle being developed by the three companies, with an eye to offering new transportation solutions in potential collaboration with local governments in Japan. "Through active collaboration with partners who share the same interests and aspirations, Honda will continue to accelerate the realization of our autonomous vehicle MaaS business in Japan," Honda President Takahiro Hachigo said in a statement, referring to its mobility service.
- Asia > Japan (1.00)
- North America > United States > California > San Francisco County > San Francisco (0.06)
Telarus & Mobile Solutions Partner to Deliver Complete Mobility Management
Telarus, LLC, the leading master agent of business cloud infrastructure, cybersecurity, and contact center services, and Mobile Solutions, a leading provider of full lifecycle Managed Mobility Services, have partnered to offer Telarus partners, and their customers, access to Mobile Solutions' comprehensive SaaS solutions and services Telarus, LLC, the leading master agent of business cloud infrastructure, cybersecurity, and contact center services, and Mobile Solutions, a leading provider of full lifecycle Managed Mobility Services, have partnered to offer Telarus partners, and their customers, access to Mobile Solutions' comprehensive SaaS solutions and services. Telarus is the only master agent that reinvests in developing tools for the main purpose of making their partners' lives easier, being the tech expert their clients want them to be, and helping them differentiate themselves from the competition. Telarus has been named the top master agent by the Telecom Association for the past three years – the first and only company in the carrier channel to accomplish this feat. "With the recent focus on mobility and endpoint security, we are pleased to offer our partners access to Mobile Solutions, which offers a comprehensive portfolio of services backed by true mobility experts," said Roger Blohm, Telarus EVP. As technology continues to alter the business landscape, the need for key solutions has grown.
Mobileye and Willer Partner on Self-Driving Mobility Solutions for Japan
Mobileye, an Intel Company, and WILLER, one of the largest transportation operators in Japan, Taiwan and the Southeast Asian region, announced a strategic collaboration to launch an autonomous robotaxi service in Japan and markets across Southeast Asia, including Taiwan. Beginning in Japan, the companies will collaborate on the testing and deployment of autonomous transportation solutions based on Mobileye's automated vehicle (AV) technology. "Our new collaboration with WILLER brings a meaningful addition to Mobileye's growing global network of transit and mobility ecosystem partners," said Prof. Amnon Shashua, Intel senior vice president and president and CEO of Mobileye. "We look forward to collaborating with WILLER as we work together for new mobility in the region by bringing self-driving mobility services to Japan, Taiwan and ASEAN markets." "Collaboration with Mobileye is highly valuable for WILLER and a big step moving forward to realize our vision of innovating transportation services: travel anytime and anywhere by anybody," said Shigetaka Murase, founder and CEO of WILLER.
- Asia > Japan (1.00)
- Asia > Taiwan (0.72)
- Asia > Southeast Asia (0.62)
- (4 more...)