Paolo Papotti got his Ph.D. degree from the University of Roma Tre (Italy) in 2007 and is an assistant professor (MdC) in the Data Science department at EURECOM (France) since 2017. Before joining EURECOM, he has been a senior scientist in the data analytics group at QCRI (Qatar) and an assistant professor at Arizona State University (USA). His research focuses on data integration and cleaning and it has been recognized with awards in SIGMOD and VLDB. His work has also been patented and successfully adopted in commercial products. Your email address will not be published.

It's a question that was under discussion as this year's Munich Security Conference kicked off on Friday (February 16). Her country was the victim of a massive hacking attack that was widely blamed on Russia. "I have been really worried as an Estonian--Estonia is a digital state compared to many others--that our capacity to internationally agree and regulate for technological development has been extremely low," Kaljulaid told euronews. "We haven't managed to do any progress, for example, even on cyber issues". Members of the public present in the audience said they are worried about robot soldiers, and self-piloted weaponised drones.

The yields of tricky cross coupling reactions can now be accurately predicted by a computer program that taught itself how to tackle this tough problem. Key to the algorithm's expertise is the data it trained on from thousands of small scale reactions. 'The big goal, which this is a small step toward, is to be able to predict reaction performance of new substrates without experimentation,' explains Abigail Doyle from Princeton University, who led the work together with Spencer Dreher from Merck & Co. Machine learning has helped scientists explore chemical space, find new synthetic pathways and predict reaction outcomes. However, yield prediction software still often gets things wrong. This is because the data algorithms have to work with – reaction parameters collected by many groups over the years – is often inconsistent and incomplete. Reactions that don't work, for example, are usually not reported.

The majority of the UK's SMEs are largely unconcerned about the prospect of artificial intelligence (AI), with the potential of improved productivity seen as a possible major benefit, according to research from Close Brothers Asset Finance. The results were obtained from the Close Brothers Business Barometer, a quarterly survey that questions over 1,000 UK and RoI SME owners and senior management across a range of sectors and regions. "The potential impact of the rise of artificial intelligence and the so-called fourth industrial revolution have been discussed and debated for some time now," said Neil Davies, CEO, Close Brothers Asset Finance. "What our survey tells is that 65% of firms feel that AI is either going to improve productivity or that it's too far in the future to be worried about. The remaining 35% are more apprehensive, citing ethical concerns and the threat to jobs as their reasons for not being advocates of AI."

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. Awww, a SpotMini using its face-arm to help a buddy...adorable! Perhaps Boston Dynamics could release some behind-the-scenes footage (or outtakes!) to show what's going on here?

We are witnessing just the beginning of the artificial intelligence (AI) era. The computer program AlphaGo defeated the world's top player in the complex Chinese board game of Go for the last time in May 2017. The program had run out of human competition. Instead, its developers designed AlphaGo Zero to simply play against itself without the aid of any historical game data. AlphaGo Zero taught itself how to beat all versions of AlphaGo in 40 days.

That was my key take away from a bunch of conversations I had at Productronica, the tradeshow for electronics development and production in Munich in November and at the more recent consumer electronics tradeshow CES in January. Not just in consumer electronics, smart cities, and autonomous vehicles, but also around the factory as we search for the next big step along the road to the fourth industrial revolution. A glance at the available market research confirmed my suspicions. The artificial intelligence market was valued at $1.36 billion in 2016 and is expected to grow at a compound annual growth rate (CAGR) of 52% during the forecast period from 2017 to 2025, according to a recent report from Research and Markets. I realized that these big industry events offered a huge opportunity in terms of industry insight and knowledge.

Tinder's new update will allow female users to take the lead in conversations with matches in a setting dubbed "women-talk-first." The dating app's new feature is optional for female users. By entering the app's settings, women will soon be able to change it so that they are required to initiate dialogue before men. Therefore, this feature would allow for women to not be on the receiving end of an assortment of messages from every person they'd ever matched with. Match Group, a company that operates Tinder alongside other dating websites, claimed the change is great for women if they don't mind the "pressure" of initiating a conversation with a new match.

First things first: what is AI? AI is trendy nowadays but not new. Back in 1997, Deep Blue, a chess-playing computer developed by IBM defeated Garry Kasparov who is still considered as one of the greatest chess players in the world. But what has changed since? The proliferation of data and the rapidity of computing power have accelerated the development of algorithms. Machine learning emerged as a branch of Artificial Intelligence and allows computers to learn from datasets without being programmed explicitly.

Cyber criminals continue to launch increasingly sophisticated and devastating attacks on industrial, business and financial organisations around the world – and the damage from such crime could reach $6tn by 2021, according to a report from Cybersecurity Ventures. Security technologist Bruce Schneier's insights and warnings around the regulation of IoT security and forensic cyber psychologist Mary Aiken's comments around the tensions between encryption and state security were the top highlights of the keynote presentations at Infosecurity Europe 2017 in London. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.