Uber Technologies Inc. wants to expand its zero emissions pledge to food-delivery and make the business environmentally sustainable, but Chief Executive Officer Dara Khosrowshahi stopped short of committing to do so by a 2030 deadline for its ride-hailing arm. The CEO said in an interview that food deliveries Uber makes in Europe are typically carried on scooters and bikes, so it prioritized cars for its green ambitions. "We wanted to start with our mainline mobility business, and then based on our learnings there, we will absolutely apply them to delivery as well," Khosrowshahi said. "I don't know if it'll be included in the 2030 target, but we're absolutely going to look to drive delivery to be fully green as well." Ahead of two weeks of climate talks between world leaders -- known as COP26 -- several transportation-focused technology firms called for sped-up sustainability targets and expanded urban mobility options.

A Sandia National Laboratories team of materials scientists and computer scientists, with some international collaborators, have spent more than a year creating 12 new alloys -- and modeling hundreds more -- that demonstrate how machine learning can help accelerate the future of hydrogen energy by making it easier to create hydrogen infrastructure for consumers. Vitalie Stavila, Mark Allendorf, Matthew Witman and Sapan Agarwal are part of the Sandia team that published a paper detailing its approach in conjunction with researchers from Ångström Laboratory in Sweden and Nottingham University in the United Kingdom. "There is a rich history in hydrogen storage research and a database of thermodynamic values describing hydrogen interactions with different materials," Witman said. "With that existing database, an assortment of machine-learning and other computational tools, and state-of-the art experimental capabilities, we assembled an international collaboration group to join forces on this effort. We demonstrated that machine learning techniques could indeed model the physics and chemistry of complex phenomena which occur when hydrogen interacts with metals."

Pune, India, Sept. 16, 2021 (GLOBE NEWSWIRE) -- The global Artificial Intelligence (AI) market size is expected to gain momentum by reaching USD 360.36 billion by 2028 while exhibiting a CAGR of 33.6% between 2021 to 2028. In its report titled, "Artificial Intelligence (AI) Market Size, Share & COVID-19 Impact Analysis, By Component (Hardware, Software, and Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, and Others), By Deployment (Cloud, On-premises), By Industry (Healthcare, Retail, IT & Telecom, BFSI, Automotive, Advertising & Media, Manufacturing, and Others), and Regional Forecast, 2021-2028" Fortune Business Insights mentions that the market stood at USD 35.92 billion in 2020. Artificial Intelligence has become immensely popular, and industries across the globe are rapidly incorporating it into their processes to improve business operations and customer experience. Not only the big companies but also the small and medium businesses are investing in this technology. Besides, the advancement and implementation of 5G, cloud computing, and a huge database are the factors, which are propelling its demand.

Oasis clients now have access to eDiscovery's most advanced text analytics and machine learning solution. "Relativity has been a great software partner over the years and this move further solidifies our relationship," said Brandon Law, Oasis Founder and CEO. "Relativity's commitment and advocacy for the use of AI in the legal field has led to widespread adoption of analytics throughout the space. It's no coincidence that their technology is the most advanced of its kind." Oasis clients now have the ability to leverage popular Relativity workflows such as email threading, textual duplication identification, language identification, categorization, continuous active learning, and much more. "Oasis is an excellent Relativity partner and we continue to appreciate their level of expertise and dedication to the growth and development of our software offerings," said Greg Ball, VP of Engineering and Artificial Intelligence/Machine Learning at Relativity.

Increased trust, transparency, fairness and auditability of AI technologies continues to be of growing importance to a wide range of stakeholders,

Artificial intelligence is changing the game for cybersecurity across several industries by providing cutting-edge security technologies that analyze massive quantities of data. AI technology uses its ability to improve network security over time. Today, several organizations are increasingly implementing AI-powered intelligent security solutions & services to understand and reuse threat patterns to identify new coercions. AI technology provides wider security solutions and simplifies complete recognition and acknowledgment procedures related to cyberattacks. Thus, there is a growing demand for AI-based solutions in the end-use industry for cybersecurity.

Walmart has tapped Argo AI and Ford to launch an autonomous vehicle delivery service in Austin, Miami and Washington, D.C., the companies said Wednesday. The service will allow customers to place online orders for groceries and other items using Walmart's ordering platform. Argo's cloud-based infrastructure will be integrated with Walmart's online platform, routing the orders and scheduling package deliveries to customers' homes. Initially, the commercial service will be limited to specific geographic areas in each city and will expand over time. The companies will begin testing later this year.

Global pandemic limitations have had a direct influence on traditional real estate processes – and for the better, unexpectedly. Thousands of businesses, realtors, appraisers, mortgage lenders, and others have been forced to manage the crisis by incorporating rapidly emerging PropTech, and with good cause. Real estate AI apps can manage predetermined data flows, learn user behavior, streamline and speed operations, and allow more accurate assessments and market forecasts in the short term. Real estate AI apps are being embraced by homeowners, potential renters, and purchasers, and investors are aware that real estate is the world's greatest asset class. These top 10 AI apps help real estate professionals interact with prospects more rapidly, boost sales, manage renters and properties, and more.

There are a number of autonomous boats under development, but we've seen few commercial self-driving ships plying waterways. Now, a company called Sea Machines has announced that it will send an autonomous, remotely commanded tugboat on a 1,000 nautical mile (1,150 mile) "Machine Odyssey" voyage around Denmark. The tug ("Nellie Bly") will have "full onboard vessel control managed by autonomous technology," but be operated under the authority of officers located in the US. The aim is to show "global companies that operate the fleets of cargo ships, tugs, ferries, and the many other types of commercial workboats that they can integrate autonomous technology into their vessel operations for a host of technology-driven benefits." The tug will be steered by Sea Machines' SM300 autonomous system equipped with long-range computer vision. It's a "sensor-to-propeller" system that employs "path-planning, obstacle avoidance replanning, vectored nautical chart data and dynamic domain perception" to control a voyage from start to finish.

Artificial intelligence could one day organize the world. As if in anticipation of this, a maritime platform developer called Orca AI has just begun a research trial of new safety systems for autonomous ships, equipping a vessel with artificial intelligence that recognizes other ships to safely guide it through busy sea traffic, according to a recent press release from the company. Orca AI was founded in 2018 by a pair of naval tech experts, and designs software platforms with extreme specificity for maritime vessels. The firm blends existing safety systems with sensors to enhance the navigation and safety of vessels making their way through crowded (and sometimes dangerous) waterways. Orca AI is headquartered in Israel, and aims to link sea-bound vessels with 24/7 land-based AI insights.