Then, what they need is a systematic, comprehensive and scalable hyper-personalization approach. In this not-to-be missed webinar, Anil Kaul, Co-Founder & CEO and Rajat Narang, Associate Director at Absolutdata, will present a contrarian view on how AI impacts personalized marketing, they will also set the foundation for moving to an Artificial Intelligence based hyper-personalized marketing approach, including a real world example of a hospitality leader that saw a 12% incremental revenue through hyper personalization.

Facebook has released a platform that could combine different advances in artificial intelligence and make machines a lot more articulate. The framework, called ParlAI, offers researchers a simpler way to build conversational AI systems, and to combine different approaches to machine dialogue. The framework should make it easier for developers to build chatbots that aren't so easily stumped by an unexpected question. A common criticism of the chatbots released to date, including those available via Facebook, is that they are too narrowly focused and too easily confused. The long-term hope is that ParlAI will help advance the state of the art in natural language research by reducing the amount of work required to develop and benchmark different approaches.

In 1950, Alan Turing published his famous paper titled "Computing Machinery and Intelligence". The paper proposed a test to determine if a machine was artificially intelligent. Basically, Turing said that if a machine could have a conversation with a human and trick the human into thinking the machine was a person itself, then it was artificially intelligent. This became known as the Turing Test, and passing it has been one of the most sought after goals in computer science. Passing the Turing Test would signal the birth of artificial intelligence.

Is it possible that someday we will elect an AI president? Given some of the recent occupants of the White House, many might consider it an upgrade. After all, humans are prone to making decisions based on ego, anger, and the need for self-aggrandizement, not the common good. An artificially intelligent president could be trained to maximize happiness for the most people without infringing on civil liberties. It might even learn that it's a good idea to tweet less--or not at all.

We at Standuply, while working hard on a Slack bot for Agile teams, like to have fun and make some noise. Since we are excited about AI and bots, we would like to get to know others who feel the same. This way everybody could pick the best conference for them and engage with visitors before an event. So we've composed a list of AI and chatbot conferences in 2017. Now let's fill it up Leave me a note near an event you're interested or going to.

When you first heard of the term convolutional neural networks, you may have thought of something related to neuroscience or biology, and you would be right.

Data scientists are expected to be familiar with the differences between supervised machine learning and unsupervised machine learning -- as well as ensemble modeling, which uses a combination of approaches techniques, and semi-supervised learning, which combines supervised and unsupervised approaches. While it's not necessarily new, deep learning has recently seen a surge in popularity as a way to accelerate the solution of certain types of difficult computer problems, most notably in the computer vision and natural language processing (NLP) fields. By extracting high-level, complex abstractions as data representations through a hierarchical learning process, deep learning models yield results more quickly than standard machine learning approaches. Machine learning, deep learning, and artificial intelligence all have relatively specific meanings, but are often broadly used to refer to any sort of modern, big-data related processing approach.

ZURICH – Zurich Insurance is deploying artificial intelligence (AI) in deciding personal injury claims after test trials cut the processing time from an hour to just seconds, its chairman said. "We recently introduced AI claims handling … and saved 40,000 work hours, while speeding up the claim processing time to five seconds," Tom de Swaan said in an interview after the insurer started using machines in March to review paperwork, such as medical reports. "We absolutely plan to expand the use of this type of AI," he said. Insurers are racing to hone the benefits of technological advancements such as big data and AI as tech-driven startups, like Lemonade Inc., enter the market. Lemonade promises renters and homeowners insurance in as little as 90 seconds and payment of claims in three minutes with the help of artificial intelligence bots that set up policies and process claims.

While automakers are still negotiating with local and state governments to let autonomous cars test drive on open streets, one programmer has found a more accessible proving ground to teach AI how to be a motorist: Grand Theft Auto V. It's not the first time folks have used the game to train their self-driving vehicles -- but you can watch this one learn in real-time on Twitch. Programmer Harrison'Sentdex' Kinsley created the AI (or "convolutional neural network"), named it Charles, and set it loose in the game to teach itself through deep learning. While that sounds advanced, so far Charles hasn't quite mastered avoiding collisions with cars, dividers, signs and people. If this AI hit the road today, it would have some real-life police after it quickly -- so long as it didn't hurl itself into the water first (a frequent fate on the livestream). As Kinsley describes in the Twitch description, Charles "learns and takes all actions based on single frames at a time, and bases his decisions on just pixel data. Charles only sees exactly what you see."

Message from the world's best StarCraft players to the world's most advanced AI: bring it on. The space-war computer game is widely regarded as the ultimate challenge for AI programs due to its complexity and rapid pace. Expectations for a match-up between a professional StarCraft player and sophisticated AI ratcheted up last year after an AI program beat a highly ranked human player at Go, one of the world's most difficult board games. At the time, a number of AI experts pointed to StarCraft as the next target for an AI-versus-man showdown. Among them: Demis Hassabis, the founder and CEO of DeepMind, the AI-focused division of Alphabet that created the triumphant Go-playing AI program, AlphaGo.