This course will help you to gain the skills to use one of the fastest growing mobile technologies, Chatbots. Now you too can learn to build sophisticated Chatbots for your customers all with NO Coding. This course is for those in Web design, marketing and graphics, who want to be able to offer their clients something new and exciting. I will cover Chatbots for Websites, for Facebook, for KiK, and for Slack – although the bots created can be used also on many other services. I will show you examples of travel bots, entertainment bots, productivity bots, and retail bots.

Everybody talks about AI, but nobody talks about what it means for you. During this session, we will talk about how artificial intelligence can be used to amplify human capabilities in threat detection, evidence gathering, and remediation. The traditional security infrastructure has changed over time, and threat behavior has evolved and become more complex than ever. To confront this shifting landscape, artificial intelligence has been introduced by numerous platforms to more accurately identify threats. In this session, we'll talk about how that artificial intelligence works, what it is capable of, and most importantly, how it can help your business.

One of the difficult problems in using machine learning to generate sequences, such as melodies, is creating long-term structure. Long-term structure comes very naturally to people, but it's very hard for machines. Basic machine learning systems can generate a short melody that stays in key, but they have trouble generating a longer melody that follows a chord progression, or follows a multi-bar song structure of verses and choruses. Likewise, they can produce a screenplay with grammatically correct sentences, but not one with a compelling plot line. Without long-term structure, the content produced by recurrent neural networks (RNNs) often seems wandering and random.

Here's What We Can Expect from Deep Learning in 2016 and Beyond

Pizza Hut announced this week the launch of a social ordering platform, or "chatbot," a means of conversational ordering on Facebook Messenger and Twitter. The new platform will be available across Pizza Hut social media accounts in August. Chatbots are relatively new, but have gained widespread interest from businesses, such as 1-800-Flowers, which has been testing them for four months, and Whole Foods, which introduced its Facebook Messenger chatbot on Tuesday. "The new Pizza Hut social ordering platform is another example of making it easy for our customer to order their favorites from Pizza Hut," said Baron Concors, Chief Digital Officer, Pizza Hut. "We are constantly pursuing ways to simplify our ordering experience. This platform allows our consumers to quickly order or get information where they are already spending a great deal of their time."

At Algorithmia, we believe in democratizing access to state-of-the-art algorithmic intelligence. That's why we're introducing a solution for hosting and distributing trained deep learning models on Algorithmia using GPUs in the cloud. Today, researchers and developers can train their neural nets locally, and deploy them to Algorithmia's scalable, cloud infrastructure, where they become smart API endpoints for other developers to use. We're excited to announce initial native support for the Caffe, Theano, and TensorFlow frameworks, and have added 16 open source deep learning models that run as microservices to start. Support for Torch and MxNet are coming soon.

The so-called "project Malmo" has already been accessible to a small group of computer science researchers for some months, but now it is freely available on the developer platform GitHub. Microsoft bought Minecraft -- an addictive game that allows players to move, interact and build complex objects in a 3D blocky world-in 2014. It is now clear that the Seattle based tech giant had spotted the software's potential for AI applications. According to Microsoft, the new Minecraft-based platform "Project Malmo" will come in handy to research "general artificial intelligence" -- that is a computer that can engage in eminently human activities such as learning new things, having a conversation, making decisions and carrying out tasks. Faculty Summit 2016 opens w/ important announcements: Project Malmo: https://t.co/zEjMvF6OLe

Illustration credit: Anirban BoraBetween the Terminator movies, Ava from'Ex Machina', Google's AlphaGo beating the world's best human Go players, machines mimicking Rembrandt's style to paint portraits, debates about morality and privacy, and Stephen Hawking's warnings about the consequences of intelligent machines manned by idiot humans; it's no wonder that Artificial Intelligence (AI) has already made people a little uncomfortable. In the marketing world, it's caused the customary outbreak of confusion. Thus resulting in a series of obtuse declarations like "AI will change everything. EVERYTHING!" that are typical of the industry. Any time anything new threatens to upset business as usual, comrades in the marketing and advertising industry especially lunge headlong into an existential crisis. For instance, "Will AI make the creative kind obsolete?"

This week on the premiere of Mr. Robot, the hacktivist collective fsociety made good on its threat to bring down the evil E Corp. With a few strokes of the keyboard, a USB stick and a little social engineering, the anarchists infected the corporate giant's banking division with ransomware, locking up thousands of files and closing it for business. As the character Darlene prepared her malicious code, real hackers watching no doubt chuckled at the familiar words on her screen: "Hack the Gibson…and remember…hugs are worth more than handshakes." Like so much about the hacking on Mr. Robot, that detail was for them. When these episodes air, I don't watch the episodes, I keep my eye on Reddit and Twitter and see what people are saying about it.

Nowadays you look around and it seems like everyone at the gym or the park is wearing the coloured band of a FitBit, FuelBand, Apple Watch, Jawbone Up or some other activity tracker on their arm. You might very well have one on as you read this. These tools work to collect huge amounts of data about our personal activity, relatively inexpensively and easily. This allows us to quantify how much we do to improve our health by taking measurements of ourselves performing activites such as running, swimming and lifting weights. However, rarely do we try to quantify how well we perform an activity.