accelerate adoption
Oxbotica and Google Cloud Unite to Accelerate Adoption of Autonomous Driving Solutions - Liwaiwai
Oxbotica, the British-based autonomous vehicle software developer, today announced a new strategic collaboration with Google Cloud that will help accelerate the deployment of its autonomous software platform to customers around the world. The partnership will combine Google Cloud's expertise in cloud infrastructure with Oxbotica's market-leading autonomous vehicle software to create scalable, safe, and reliable autonomous driving solutions for any business with transportation in its value chain. These businesses include last-mile logistics, light industry, and public transport. Oxbotica plans to use Google Cloud products--compute, storage, networking, and leading data and analytics products like Vertex AI--to help develop, test, validate, and verify its self-driving technology. It will also leverage Google Cloud's proven cyber-security technologies to help ensure secure use of autonomous mobility technology.
- Information Technology > Services (1.00)
- Transportation > Ground > Road (0.64)
NTT DOCOMO and Accenture Collaborate to Accelerate Adoption of Web3
Web3 is a new iteration of the web driven by blockchain technology. It has the potential to form a new digital economy with a greater social impact than conventional economies, providing clearly defined benefits and secure environments for success. NTT DOCOMO will bring its expertise in telecommunications networks and digital services, as well as its experience working on society-wide issues. Accenture will help build an operational foundation for the initiatives with a view to future global expansion, leveraging the knowledge gained through its work on regional development efforts, including that with Aizu Wakamatsu City in Fukushima. Web3 is already being used in Japan to provide valuable solutions for society.
- Telecommunications (1.00)
- Information Technology > Services (0.73)
Absolving user of blame in driverless cars could accelerate adoption - Urgent Comms
TU-Automotive's editor, Paul Myles, reports that "British lawyers are calling for automakers to shoulder unlimited legal responsibility for a driverless vehicle's actions on the roads." Subsequently, drivers will become users-in-charge, absolving human drivers of any blame for the "vehicle's driving tasks in the event of an accident or breach of any highway regulations. As reported by the BBC, the UK's Law Commission was asked in 2018 to come up with a series of reports on the regulatory framework for automated vehicles and their use on public roads." While there is an ongoing discussion about connected and autonomous vehicle (CAV) liability in terms of who or what is responsible whenever an accident occurs, in a telephone conversation with TU-Automotive, the Society of Motor Manufacturers and Traders (SMMT) was keen to point out that there are currently no plans to make automakers 100% responsible for accidents caused by one of their vehicles in semi or fully autonomous mode. However, there is still a discussion to be had about it and in, certain circumstances such as an accident caused by a technical fault when a human driver is not in charge of a vehicle, there is the persistent view that they should be liable.
- Transportation > Ground > Road (1.00)
- Automobiles & Trucks (1.00)
AI: using trust and ethics to accelerate adoption
Due to the most recent progresses in machine learning, big data and computational power, artificial intelligence (AI) is widely accepted as having the potential to transform every industry and to overcome the biggest challenges facing society. AI may well be a revolution in human affairs and become the single most influential innovation in history. As with so many technological breakthroughs, progress in AI technologies has moved faster than society. We need a better understanding of how AI transforms our societies, who is most affected, why, and the consequences. Social and behavioural sciences will be crucial to make sense of these shifts and help us navigate them.
UAE Artificial Intelligence Network launched to accelerate adoption of AI
Through established partnerships and collaborations, the UAE Artificial Intelligence Network seeks to bring together governments, private entities, international organisations, start-ups, research centres, academic institutions, business incubators and accelerators under one roof to discuss and exchange expertise in the field of AI, and identify challenges and roadblocks that affect the adoption of AI, and how to solve them. The UAE Artificial Intelligence Network offers its members the opportunity to participate in various local and international events, including the annual AI Conferences organised by the UAE National Programme for AI, as well as AI-focused seminars, conferences, workshops, meetings and sessions. Members also benefit by networking with AI experts, working closely with AI pioneers and decision makers, as well as the opportunity to contribute with recommendations to the UAE Council for Artificial Intelligence.
Nuance & Partners HealthCare Team Up to Accelerate Adoption of AI Apps for Diagnostic Imaging
Nuance today announced the signing of a multi-year strategic agreement with Partners HealthCare. The two organizations will optimize the process for rapid development, validation and utilization of artificial intelligence (AI) for radiologists at the point of care, and Nuance intends to make the new algorithms available through the Nuance AI Marketplace for Diagnostic Imaging. The collaboration will be executed through the recently formed Massachusetts General Hospital ("MGH") and Brigham and Women's Hospital ("BWH") Center for Clinical Data Science ("CCDS") and will focus on improving radiologists' efficiency and report quality, as well as patient clinical outcomes. Nuance and Partners HealthCare will work together, and with other key supporters of the Nuance AI Marketplace for Diagnostic Imaging including NVIDIA and the American College of Radiology. The collective will continue to foster the democratization of Imaging AI, with an emphasis on automating many of the mundane and repetitive tasks radiologists face daily.