Today we played Dendi on mainstage at The International, winning a best-of-three match. Over the past week, our bot was undefeated against many top professionals including SumaiL (top 1v1 player in the world) and Arteezy (top overall player in the world). Dota 1v1 is a complex game with hidden information. Agents must learn to plan, attack, trick, and deceive their opponents. The correlation between player skill and actions-per-minute is not strong, and in fact, our AI's actions-per-minute are comparable to that of an average human player.

Attrition occurs when a customer ceases to be a customer. Since the cost of acquiring a new customer is always more than that of convincing an existing one to stay with the company, stopping churn becomes at least as big of a priority as marketing to potential new customers. Lower attrition rates mean less customer turnover, leading to better stability and higher profits.

A new technique that uses the artificial intelligence methods of machine learning and deep learning is able to create 3-D shapes from 2-D images, such as photographs, and is even able to create new, never-before-seen shapes. Karthik Ramani, Purdue's Donald W. Feddersen Professor of Mechanical Engineering, says that the "magical" capability of AI deep learning is that it is able to learn abstractly. "If you show it hundreds of thousands of shapes of something such as a car, if you then show it a 2-D image of a car, it can reconstruct that model in 3-D," he says. "It can even take two 2-D images and create a 3-D shape between the two, which we call'hallucination.'" When fully developed, this method, called SurfNet, could have significant applications in the fields of 3-D searches on the Internet, as well as helping robotics and autonomous vehicles better understand their surroundings.

Elon Musk is a hype merchant, and this weekend his Twitter account served up a generous serving of hoopla for the OpenAI bots that were destroying the best Dota 2 players in the world. As a veteran Dota player and inveterate contrarian, I couldn't let Musk's exaggeration go by unchallenged. What we saw the OpenAI bots achieve was awe-inspiring for anyone who's ever dabbled in Dota, but it's still only scratching the surface of the competitive complexity of this game. OpenAI first ever to defeat world's best players in competitive eSports. Vastly more complex than traditional board games like chess & Go.

Elon Musk has warned again about the dangers of artificial intelligence, saying that it poses "vastly more risk" than the apparent nuclear capabilities of North Korea does. The Tesla and SpaceX chief executive took to Twitter to once again reiterate the need for concern around the development of AI, following the victory of Musk-led AI development over professional players of the Dota 2 online multiplayer battle game. If you're not concerned about AI safety, you should be. This is not the first time Musk has stated that AI could potentially be one of the most dangerous international developments. He said in October 2014 that he considered it humanity's "biggest existential threat", a view he has repeated several times while making investments in AI startups and organisations, including OpenAI, to "keep an eye on what's going on".

The Bitfury Group, a leading full-service blockchain technology company has announced a collaborative agreement with Insilico Medicine, Inc., a Baltimore-based Artificial Intelligence (AI) and bioinformatics company, to develop innovative solutions for healthcare applications using blockchain technology. The two companies signed a memorandum of understanding (MOU) to collaborate in academic and commercial settings to develop solutions that could reform the healthcare industry. With the healthcare industry and the future of data collection ripe for innovation, Bitfury and Insilico are collaborating to study and develop blockchain and AI solutions for sharing, managing, tracking and validating healthcare data. "Blockchain can secure and streamline our medical systems, while AI has the potential to revitalize data management and machine learning to help identify trends and diseases. By partnering with Insilico, we will be able to combine their expertise in deep learning and bioinformatics with our blockchain proficiency and real-time solutions to create bespoke and innovative new products for the healthcare sector."

Neural networks like Long Short-Term Memory (LSTM) recurrent neural networks are able to almost seamlessly model problems with multiple input variables. This is a great benefit in time series forecasting, where classical linear methods can be difficult to adapt to multivariate or multiple input forecasting problems. In this tutorial, you will discover how you can develop an LSTM model for multivariate time series forecasting in the Keras deep learning library. This tutorial assumes you have a Python SciPy environment installed. You can use either Python 2 or 3 with this tutorial.

Towards the end of the course, you will be working on a live project. We will emphasize on the concepts learned in the various modules through different case studies.

At OpenAI, the artificial intelligence lab founded by Tesla's chief executive, Elon Musk, machines are teaching themselves to behave like humans. But sometimes, this goes wrong. Sitting inside OpenAI's San Francisco offices on a recent afternoon, the researcher Dario Amodei showed off an autonomous system that taught itself to play Coast Runners, an old boat-racing video game. The winner is the boat with the most points that also crosses the finish line. The result was surprising: The boat was far too interested in the little green widgets that popped up on the screen. Catching these widgets meant scoring points.

Some of the most revolutionary advances in artificial intelligence are coming from the world of video games. The OpenAI team, supported by tech maven Elon Musk, showcased an AI bot at a tournament in Seattle that decisively beat several of the world's best Dota 2 players in one-on-one matches. The stunning upset over pro gamer and crowd favorite Danylo "Dendi" Isutin was broadcast live from the stage at The International, a $24 million Dota 2 tournament backed by Valve. In the first match, the machine-learning algorithm defeated Dendi in ten minutes. Dendi then resigned from the second match, and declined a third.