Amazon is happy to announce that Alexa, the brain that powers Amazon Echo, is coming to India, along with three Alexa-enabled devices: Amazon Echo, Echo Plus, and Echo Dot. Customers who want to help further the development of Alexa and the Echo family of devices may request an invitation to purchase devices beginning today. This opens up new opportunities for developers in India and worldwide. Starting today, you can build for voice with Alexa and reach customers in India with the Alexa Skills Kit (ASK), our collection of self-service APIs, tools, documentation, and code samples. Hardware manufacturers can start developing Alexa-enabled products for Indian customers with the Alexa Voice Service (AVS) by participating in a developer preview.

Not that advertising is especially fickle, but even if you're looking to fly without a degree, you'll still have to figure out a few basics--compiling a portfolio, say, or understanding which awards are actually worth pursuing in a creative career. Thankfully, we have bots now. Bot Ad School (or BAS for short) is the labor of Daniel Liakh of BBH London, Kostia Liakhov and Kate Harrison of R/GA Sydney, and Sam Cable of Leo Burnett Sydney. Best experienced via mobile, the bot provides a crash course in everything from portfolio building and website creation help to information on awards (including student ones) and making the most of an ad internship. All in just seven bite-sized chapters, stuffed with GIFs.

About this course: Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. In part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.

Autonomous vehicles are poised to take to our roads in massive numbers in the coming years. This has been made possible due to advances in deep learning and its application to autonomous driving. In this post, we take you through a tutorial that shows you how to build a remote control (RC) vehicle that uses Amazon AI services. Typically each autonomous vehicle is stacked with a lot of sensors that provide rich telemetry. This telemetry can be used to improve the driving of the individual vehicle but also the user experience.

One of the most consistent problems surfacing in our discussions about IoT is the actual scope of "what exactly is IoT and what and who does it involve". To technical people, IoT is what they perceive it to be from their active role. It might be a cloud offering, some sensor data, a connectivity solution, a robotics solution or Artificial Intelligence application. They would all be correct but they lack the appropriate context in which to provide valid inputs. To business people, their interpretation may be "it's a security nightmare" or a "huge opportunity".

Last week, experts from the AI world came together for the Artificial Intelligence Conference at San Francisco to discuss insights, opportunities, challenges and trends related to the rapidly expanding field of AI. The conference included hands-on trainings, tutorials, startup showcase (which was won by PipelineAI), keynotes, sessions, expo, and social events. Here is my report on Key Takeaways from AI Conference in San Francisco 2017 – Day 1. Michael Jordan, Distinguished Professor, UC Berkeley gave his keynote on "How to escape saddle points efficiently". We are in a great time with regards to AI and Machine Learning, due to immense interest and the pace of technological advances. However, the theories and our understanding is lagging to keep up with the challenges.

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Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists in the tech industry – and prepare you for a move into this hot career path. This comprehensive course includes 68 lectures spanning almost 9 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice. I'll draw on my 9 years of experience at Amazon and IMDb to guide you through what matters, and what doesn't. The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers.

In recent years, #Artificial Intelligence (AI) and virtual reality have become powerful tools in the evolution of the world's education sector. As these new technologies are gradually and boldly being incorporated in classrooms, education is turning into a more modernized industry but latest reports also claimed that AI is disrupting the learning market. Modern technology has long been a valuable influence in the lives of humans. And its pervasiveness spawned a powerful tool that will play a significant role in the evolution of education made through the combination of AI and education technology (EdTech). AI-powered EdTech platforms and applications such as E-learning are increasingly becoming popular in the United States.

Deep learning and machine learning tailored toward a specific Next to convex optimization, contributed were hot topics, and the workshop application. It is now recognized that papers addressed the problems included papers from across the globe formal languages, and their symbolic of symbolic stochastic planning on deep reinforcement learning agents underpinnings, can enable descriptive and shortest path problems.