Boltt is a new sports technology startup that wants to change the way athletes use wearables. Rather than just providing metrics like most fitness wearables, it wants to introduce usable guidance through artificial intelligence. In short, while the athletes focus on their training, an AI-enabled personal coach crunches the data and gives personalized instructions. Boltt is working on this technology in partnership with Garmin. To come up with customized and informed advice, it will track movements of the athlete and classify them according to time, type and intensity.

Research from Narrative Science claims confusion over the definition of artificial intelligence is holding it back, although 62% of enterprise respondents believe it will be place by 2018. Although this is an encouraging statistic, the report also highlights there is confusion over the definition of the technology itself (Check out Narrative Science's explanation of the different facets of AI at the bottom of the story). These statistics more than anything else highlight confusion, and ignorance to the artificial intelligence technology which is already present in their day-to-day lives. From Siri on Apple devices to Amazon's recommended purchases or Facebook's content recommendations, AI has been drip feed into the real-world of technology with few people realizing its impact. The functions mentioned are AI at one of its simplest versions, though IBM has been making progress with its Watson offering moving into more complex arenas, such as medical diagnosis, building management and weather modelling systems. But what is the real potential of artificial intelligence?

Most of us are fascinated by creativity. New ideas in science and art are often hugely exciting – and, paradoxically, sometimes seemingly "obvious" once they've arrived. But how can that be? Many people, perhaps most of us, think there's no hope of an answer. Creativity is deeply mysterious, indeed almost magical.

Deep-learning artificial intelligence has mostly relied upon the general-purpose GPU hardware used in many other computing tasks. But Intel's recent acquisition of the startup Nervana Systems will give the tech giant ownership of a specialized chip designed specifically for deep learning AI applications. That could give Intel a huge lead in the race to develop next-generation artificial intelligence capable of swiftly finding patterns in huge datasets and learning through imitation. Nervana has leaned heavily on GPU hardware to build its own portfolio of deep-learning AI services for both companies and independent developers. But the startup has also been developing its own specialized deep learning hardware, called Nervana Engine, that includes only the components necessary for running deep-learning algorithms and eliminates the extra components used for general-purpose GPU tasks.

Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework.

Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce.

We're looking for experienced Front-end Developers to join our team. At Rainforest you'll be working with cutting edge tools and frameworks like React, Flux, ES6, babel.js, Jest, browserify, gulp to name a few (If your favourite tech isn't in that list, it can be, everything is up for discussion). You'll learn to love TDD (if you don't already) and you'll work on making amazing UI. Design skills are a plus but not a requirement, we're more interested in a developer who ships fast without breaking things (our test suite will help there).

Machine learning is at the core of many recent advances in science and technology. With computers beating professionals in games like Go, many people have started asking if machines would also make for better drivers or even better doctors. In many applications of machine learning, users are asked to trust a model to help them make decisions. A doctor will certainly not operate on a patient simply because "the model said so." Even in lower-stakes situations, such as when choosing a movie to watch from Netflix, a certain measure of trust is required before we surrender hours of our time based on a model.

CyberLaunch, the leading accelerator for information security and machine learning startups, today announced its inaugural'Demo Day,' for Thursday, Aug. 25, at Atlanta Tech Village. Accredited investors, entrepreneurs and media are invited to attend a private viewing of the accelerators' first seven startups. Demo Day attendees will have the opportunity to meet with each startup founder, network with investors and executives from the corporate community, and get to know some of CyberLaunch's 140 mentors. The event will also include a Startup Showcase, featuring 20 additional startups, and a panel on information security and machine learning, consisting of global industry experts. "Information security and machine learning are two tech industries poised for exponential growth in the coming years," said Christopher Klaus, CyberLaunch co-founder and serial entrepreneur.

Basically I want to have some hands on experience through small projects. You may want to start with OpenAI gym. Personally, I find the n-armed bandit problem quite illustrative. Here's a great blog post code to get you started. Definitely this, it is as simple as it gets.