Two-fifths of Europe's artificial intelligence start-ups do not use any AI programmes in their products, according to a report that highlights the hype around the technology. The research by London-based investment firm MMC Ventures could not find any evidence, based on public information and interviews with executives, of artificial intelligence applications at 40 per cent of 2,830 AI start-ups in Europe. Nevertheless, the companies are often described as AI-focused, said David Kelnar, MMC's head of research, who added that many start-ups had plans to develop machine-learning programs, an application of AI that sees computers automatically learn and improve from experience, in the future. Skyscape, for example, a London-based start-up that analyses rooftops to find disused space for drone landings, urban farms and other projects, does not currently use machine learning or artificial intelligence, but is classified as an AI start-up. "Our work today is increasing our data and knowledge to allow the implementation of AI," said Brandon Bell, chief executive and founder.

Four in ten of Europe's artificial intelligence start-ups demonstrate little evidence of actually using AI in their products and services, according to a new …

Four in ten of Europe's artificial intelligence start-ups demonstrate little evidence of actually using AI in their products and services, according to a new report that explores the hype around the technology. For the study, London-based investment firm MMC Ventures, in association with Barclays, analysed 2,830 AI start-ups in Europe and based their findings on public information and interviews with executives. The study also found that one in every 12 newly founded tech companies is an AI company. "AI has grown rapidly over the past few years and already we've seen the impact on our everyday lives, from facial recognition to the recommendations we're served up. As the technology becomes more prevalent and complex, however, it's important to remember any AI proposition must meet two criteria: to solve a real-life problem for people, businesses and society, and to do so in a responsible and inclusive way," said Steven Roberts, Managing Director of Barclays UK Ventures. "These two priorities are at the heart of the work we've done in the space, whether that be supporting start-ups and scale-ups, hosting events to demystify the technology, or connecting larger businesses to the most exciting entrepreneurs in the space.

Private investment in artificial intelligence (AI) start-ups is growing, mainly in the US and China, according to an OECD analysis of Crunchbase data. Start-ups operating in the US account for the majority of AI start-up equity investments worldwide, while China has quickly become the second player globally in terms of AI equity investments in start-ups. In 2017, Chinese start-ups attracted 36 per cent of global AI investment in 2017, a significant jump from just 3 per cent in 2015. Source: OECD estimates based on Crunchbase (April 2018), www.crunchbase.com

Private investment in artificial intelligence (AI) start-ups is growing, mainly in the US and China, according to an OECD analysis of Crunchbase data. Start-ups operating in the US account for the majority of AI start-up equity investments worldwide, while China has quickly become the second player globally in terms of AI equity investments in start-ups. In 2017, Chinese start-ups attracted 36 per cent of global AI investment in 2017, a significant jump from just 3 per cent in 2015. Source: OECD estimates based on Crunchbase (April 2018), www.crunchbase.com

Dubai: The UAE and India on Saturday signed an agreement to spur discussion and explore options for both countries to grow their artificial intelligence economies. The UAE Minister for Artificial Intelligence and Invest India signed a Memorandum of Understanding for the India-UAE Artificial Intelligence Bridge. The partnership will generate an estimated $20 billion (Dh73.4 billion) in economic benefits during the next decade. The UAE-India collaboration will seek to evaluate the dynamic nature of innovation and technology by convening a UAE-India AI Working Committee (TWG) between the UAE Ministry for Artificial Intelligence, Invest India and Startup India. The TWG will meet once a year with the mandate to increase investment in AI start-ups and research activities in partnership with the private sector.

Google has introduced a'Google Developers Launchpad Studio' to empower start-ups globally, including from India, which are working in the field of artificial intelligence (AI) and Machine Learning (ML). It will provide tailored technical, product and investment support to the startups, all in one place, Google said on Thursday. From working with dynamic startups such as teams applying AI technology to solving transportation problems in Israel, improving tele-medicine in Brazil and optimising online retail in India, Google has learnt that these startups require specialised services to help them scale. "Whether you're a 3-person team or an established post-Series B startup applying AI/ML to your product offering, we want to start connecting with you. Applications to join Launchpad Studio are now open," posted Roy Glasberg, Global Lead, Google Developers Launchpad.

Tech giants aim to reinforce their leads in AI or make up for lost ground. Tech giants seeking to reinforce their leads in artificial intelligence or make up for lost ground have been the most aggressive buyers. Alphabet's Google has acquired 11 AI start-ups since 2012, the most of any firm, followed by Apple, Facebook and Intel, respectively, according to CB Insights. The companies declined to comment on their acquisition strategies. A spokesman for Apple did confirm the company's recent purchase of Lattice Data, a start-up that specialises in working with unstructured data.

Ever-increasing workload combined with dramatic reimbursement changes are driving development of methods that help clinicians gain value from medical images more efficiently. The brightest hope is artificial intelligence, fueled by advances in deep learning / convolutional neural networks. While the big vendors have made significant investments (Watson Health, GE Healthcare, Siemens etc.) and the usual academic groups are well represented, there is considerable activity at the smaller end of the scale. In preparation for the SIIM Conference on Machine Intelligence in Medical Imaging event in Alexandria, 12th -13th September we pulled together a list of the various start-ups working on machine learning solutions for medical imaging. It was surprising to see how many more have come out of stealth mode since RSNA last year – how many more are waiting in the wings?