If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Tomorrow, Germany begins auctioning frequencies to build 5G mobile networks. It is both a highly technical event and the center of a geopolitical storm. Like much of Europe, Germany is squeezed between its economic ties to China and its longtime alliance with the U.S. NPR's Joanna Kakissis reports from Berlin. COMPUTER-GENERATED VOICE: To keep your estimated arrival time... JOANNA KAKISSIS, BYLINE: 5G will not just allow you to download movies in seconds on your smartphone. Since it's supposed to be up to 1,000 times faster than current mobile speeds, it can handle communication for self-driving cars, for example.
Nearly half of the companies in Europe that call themselves AI start-ups don't in fact use artificial intelligence, a new report found. The research, published Tuesday by London-based venture capital firm MMC Ventures, found no evidence that artificial intelligence was an important part of the products offered by 40 percent of Europe's 2,830 AI start-ups. The report's authors individually reviewed the activities, functions and funding of start-ups across 13 EU countries. It did not name any of the start-ups involved in the study. The findings raise questions about how the term AI has become a blanket phrase for start-ups looking to attract investments and position themselves at the forefront of tech innovation.
We're into our second year of publishing a "Global AI Race" series of articles on artificial intelligence startups from around the world and it continues to pose a challenge. We use an objective measure of "total funding taken in so far" and that excludes any firms that choose not to disclose funding or are bootstrapped. We search for various categorizations like "artificial intelligence" or "deep learning" and that means we'll miss any firms that haven't chosen those categories in their Crunchbase profile. But the ones we worry about the most are those firms that we might include in one of our "top AI startups" lists that don't actually do AI. It's a huge problem, and one that was highlighted recently by a European venture capital firm, MMC Ventures, that surveyed 2,830 startups in Europe that were classified as being AI companies and found out that 44% of these companies were incorrectly classified as being "AI startups."
See report State of AI 2019: Divergence – shows that AI technology has moved into the mainstream. Corporate adoption of AI has tripled in the past 12 months – one in seven large companies has adopted AI. Within 24 months, two thirds of large companies will have live AI initiatives. Over three years, the proportion of enterprises with AI initiatives will have grown from one in 25 to one in three – making AI one of the fastest paradigm shifts in the history of enterprise technology. The report also highlights that the landscape for Europe's entrepreneurs is changing.
Two-fifths of Europe's artificial intelligence start-ups do not use any AI programs 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. For example, Skyscape, 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.
Zebra Medical Vision recently revealed that two of its imaging products had received CE certification in Europe, to expedite diagnosis and review of critical conditions, especially in medical imaging. The company's AI technology has the potential of flagging time-sensitive cases like brain bleed in CT scans and pneumothorax in chest X-rays. According to the company, the technology minimizes the duration taken by ER staff and radiologists in identifying critical conditions by 80 percent. As such, it helps in improving the timeliness and quality of treatment. The imaging analytics engine from Zebra not only links to any given medical picture archive system but also analyzes the necessary scans using its algorithms.
Microsoft, which not too long ago was facing irrelevance, is successfully riding the cloud to reestablish itself and brighten it prospects. A deep dive into the company by MTN Consulting -- one of eight "Webscale Playbook" company assessments -- finds that Microsoft has made great progress reorienting itself around Azure and subscription services. The company also has diversified and is plowing money, research, and development into artificial intelligence (AI), quantum computing, and networking, the report says. The current dynamic is shaped by Azure. The company has 54 Azure cloud regions, more than 130 edge node locations, and adds more than 120,000 subscriptions each month.
We know tech giants like Amazon, Baidu, Facebook and Google have AI advantages like collecting enormous amounts of data, access to top talent, huge investments in research and development, over smaller companies. However, the possibilities offered by AI are not reserved only for the largest companies and biggest economies. Estonia is looking for ways how to attract international talent and investments; and on the other hand, its small size with limited resources requires the public administration and government to work efficiently. No wonder that in Estonia, both the government and companies have noticed the potential of AI technologies to solve these current demographic and economic challenges, as the impact of AI on GDP in the Nordics alone is expected to be considerable: 9.9% of GDP (1.8 trillion). There is a large spread of AI readiness in Europe, but even the most advanced countries are lagging the US in AI frontier.
The European Commission has chosen Time Machine as one of the six proposals retained for preparing large-scale research initiatives to be strategically developed in the next decade. Time Machine foresees to design and implement advanced new digitisation and Artificial Intelligence (AI) technologies to mine Europe's vast cultural heritage, providing fair and free access to information that will support future scientific and technological developments in Europe. The Time Machine Project, which involves FAU as well as several other institutions, will create advanced AI technologies to make sense of vast amounts of information from complex historical data sets. This will enable the transformation of fragmented data – with content ranging from medieval manuscripts and historical objects to smartphone and satellite images – into useable knowledge for industry. In essence, a large-scale computing and digitisation infrastructure will map Europe's entire social, cultural and geographical evolution.