Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. This conversation is part of the Artificial Intelligence podcast.

Facebook together with the Partnership on AI, Microsoft, and academics are making a deepfake dataset, benchmark, and public challenge with up to $10 million in grants and awards to spur innovation and make it easier to spot fake content. The Deepfake Detection Challenge will be put together with support from academics at Cornell Tech, MIT, University of Oxford, UC Berkeley, University at Albany-SUNY, and University of Maryland, College Park. The challenge will also have a leaderboard to identify top deepfake detection systems. The deepfake dataset will be released during the NeurIPS conference, which takes in December in Vancouver, Canada. "This is a constantly evolving problem, much like spam or other adversarial challenges, and our hope is that by helping the industry and AI community come together we can make faster progress," Facebook CTO Mike Schroepfer said in a blog post to announce the competition today.

This week, Gov. Doug Ducey and the Arizona Commerce Authority partnered to host a roundtable with more than a dozen local entrepreneurs to discuss the successes and challenges of being a startup leader in the state.

There has been a recent boom in the financial lending space in the last 3-4 years. Various NBFCs like MoneyTap, IndiaLends, Qbera, and Capital First are competing to grab the online urban market lending needs. However, there are still more than 60 million micro-enterprises in India that are claimed not to fit enough in order to get loans from the banks and the NBFCs. These micro-enterprises are not able to maintain a balance sheet enough to be attractive for lending. It has resulted in a big financial backing gap of more than Rs sixteen trillion(as approximated by IFC Report 2012) which continues to be unaddressed.

There are several companies in India ideal to work with for data science and machine learning. These companies take pride in their target industry, work culture, friendly working environment and different programs to expose employees to various projects, thus ensuring career growth. Here are the Top 30 in the list in no particular order. This company, with more than 200 data scientists, has an impact-oriented approach, which further develops the skills of their scientists. It lets them engage in managing the business to further understand the problems and provide better solutions.

In a world where technologies are maturing extremely fast, two of the technologies – Blockchain and IoT are gaining popularity exponentially. To be frank, both of these technologies are really changing the way the world works right now. Take IoT for example; it's practically a part of our daily lives right now. On the other hand, blockchain technology happens to gain popularity among enterprises. In reality, both these technologies go hand in hand and create a solid technological duo. That's why we'll be covering everything related to blockchain and IoT in this guide. Well, let's start with the basics. If you search it on the web, you'll probably see a lot of technical answers, which really won't help you out much. "It's a system or interconnection of everyday computing devices and objects via the internet, which enables them to receive and send data." Let me explain it more simply. Furthermore, it's safe to say that these devices are connected to the internet. You see, in reality, the internet really is a game-changer. Just imagine all the benefits you are getting just on the internet. In the old days, you could only call and message using the phone. However, now you can play games, read a book, listen to music, watch a movie, etc. all on the internet! So, with the introduction of smart devices, almost everything is within your reach. However, with technological advancements, now, all the devices connected to the internet can connect with each other without needing a human medium. That means your mobile can talk to your desktop or your smart home devices. Furthermore, many companies can now get access to their respective industries data automatically without manually collecting them. Moreover, they can even control them from online. The concept of the internet of things is a bit broad, and a lot of things fall under it. Additionally, the possibilities are huge and making our lives easier than ever. Well, the issue is, why does the internet of things matter in the first place? If any device is connected to the internet, then it can send and receive information from the internet. Thus, this ability in the devices makes it smart. For example, now you can use your smartphones to play games. Moreover, if you want, you can use it to play any kind of mobile games on your device. But it doesn't mean that your smartphone came with all the games in the world. In reality, it's just connecting to the internet and letting you get access to it. All the games that you are playing are stored somewhere else. Thus, to be smart, your smartphone doesn't need to have a supercomputer or massive storage.

This particular report intends to offer business leaders of the financial area with a concept of what they are able to presently expect from AI in the business of theirs. We wish this report allows business leaders in finance to garner insights they are able to confidently relay to the executive teams of theirs so they are able to make educated choices when thinking about AI adoption. At the minimum, we wish the article decreases the time industry leaders in finance invest researching AI businesses they might wish to work with. Leverton is a Berlin-based business with 112 employees. The company provides a software program which it says could help financial institutions and banks extract as well as access info from the contracts of theirs and leases using optical character recognition (Deep learning and ocr). Leverton claims computer users can install the software of theirs on enterprise computers and publish a zip file with the appropriate leases or maybe contracts that have to be abstracted into the product. Leverton's software program comes pre-made with regular formats for particular kinds of documents, like credit agreement, mortgage documents, and loan agreements.

Government interest in AI has picked up recently, and lots of government officials are actually beginning to question the very same issues company professionals have been asking 2 or maybe 3 years back. Governments as well as big NGOs are actually beginning to purchase AI, spending budget as well as time on pilot programs for different AI talks and applications with folks of the field on the future implications of the technology. With the summer, our founder spoke at a joint UN INTERPOL conference of Singapore on the implications of AI for police. Much more recently, he spoke at the UN in Geneva on the present uses of AI, completed a speaking tour for the World Bank across Asia and Europe during which he discussed how AI might help improve healthcare in developing nations, as well as spoke with generals as well as colonels learning at National Defense Faculty in Washington DC. As machine learning abilities develop, world governments will probably spend a lot more in AI studies. IDC estimated the US government's investment in artificial and cognitive intelligence technologies will develop at a CAGR of 54.3 % between 2018 2021.

Must have: cool head, moral compass and the will to say no to generals, scientists and even presidents. The Pentagon is looking for the right person to help it navigate the morally murky waters of artificial intelligence (AI), billed as the battlefield of the 21st century. "One of the positions we are going to fill will be someone who's not just looking at technical standards, but who's an ethicist," Lt Gen Jack Shanahan, director of the Joint Artificial Intelligence Center (JAIC) at the US defense department, told reporters last week. "I think that's a very important point that we would not have thought about this a year ago, I'll be honest with you. In Maven [a pilot AI machine learning project], these questions really did not rise to the surface every day, because it was really still humans looking at object detection, classification and tracking. There were no weapons involved in that."

Robotex India is an annual event and the biggest robotics festival on the planet. Thousands of engineers, executives, students and families come together to be inspired by industry leaders, examine new startups, build robots for various challenges and learn about the latest technology innovations.