On 1st March Google introduced Learn with Google AI Website – a set of educational resources that aims at bringing machine learning skills and makes artificial intelligence accessible to all. Google says the new course has been developed by Machine Learning (ML) experts at the company and is free and available to all users. These educational resources will encourage everyone from beginners to researchers to learn about machine learning concepts by providing a huge range of free, in-depth content, develop skills in the area, and apply AI concept to the real-world problems. Previously, the Machine Learning Crash Course(MLCC) was an internal course at Google, designed to train the Google's employee with a practical introduction to Machine Learning concepts and Artificial Intelligence(AI), as Google continues its moves to be an "AI First" company. Around 18,000 Google employees have already signed up for the course.

Google on Thursday introduced "Learn with Google AI" -- a set of educational resources developed by Machine Learning (ML) experts at the company, for people to learn about concepts, develop skills and apply Artificial Intelligence (AI) to real-world problems. "Learn with Google AI" comes with existing content as well as the new Machine Learning Crash Course (MLCC). "We believe it's important that the development of AI reflects as diverse a range of human perspectives and needs as possible. So, Google AI is making it easier for everyone to learn ML by providing a huge range of free, in-depth educational content," Zuri Kemp, Programme Manager for Google's machine learning education, said in a statement. "This is for everyone -- from deep ML experts looking for advanced developer tutorials and materials, to curious people who are ready to try to learn what ML is in the first place," Kemp added.

I remember the first time I was introduced to the concept of synesthesia. I was in seventh grade, sitting in the dark, watching an educational video about the neuroscience of the phenomenon in lieu of our typical life science coursework. A British woman with lexical-gustatory synesthesia appeared on screen to describe the way every name she'd ever spoken had a different taste. Many of the particulars of the documentary have faded in the decade since I last saw it, but I still recall the woman saying "the name Catherine tastes like chocolate cake." For years, I have wished (perhaps unfairly) that I had synesthesia, a rare neurological condition where senses enterwine.

GOOGLE HAS announced that it is making its artificial intelligence (AI) and machine learning (ML) courses available to everyone, beyond Mountain View. The new Learn with Google AI portal will let anyone with an interest, at almost any level, learn how to make the most of the glorious new horizon of AI and neural networking. Previously, the courses were designed for internal use to train Googlers, as Google continues its moves to be an "AI First" company. Zuri Kemp from Google AI explains: "From deep learning experts looking for advanced tutorials and materials on TensorFlow, to "curious cats" who want to take their first steps with AI, anyone looking for educational content from ML experts at Google can find it here." There's also a Machine Learning Crash Course (MLCC) which "provides exercises, interactive visualizations, and instructional videos that anyone can use to learn and practice ML concepts."

The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain. It will start Aug 15. About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

There are many books that provide an introduction to the field of linear algebra. Most are textbooks targeted at undergraduate students and are full of theoretical digressions that are barely relevant and mostly distracting to a beginner or practitioner to the field. In this post, you will discover the book "No bullshit guide to linear algebra" that provides a gentle introduction to the field of linear algebra and assumes no prior mathematical knowledge. No Bullshit Guide To Linear Algebra Review Photo by Ralf Kayser, some rights reserved. The book provides an introduction to linear algebra, comparable to an undergraduate university course on the subject.

ELSA, an app whose name stands for "English Language Speech Assistant" (and not the popular Disney character!), Unlike other courses that focus mainly on teaching grammar and vocabulary, ELSA uses artificial intelligence and speech recognition technology to help language learners with their pronunciation. The $3.2 million pre-A round of funding was led by Monk's Hill Ventures, a firm that invests in post-seed stage startups in Southeast Asia. Monk's Hill founder and partner, Peng T. Ong, is joining ELSA's board. The San Francisco-based startup was originally founded in 2015 by Stanford grad Vu Van, ELSA CEO, and Dr. Xavier Anguera, whose background is in speech recognition and A.I. technologies. It debuted at SXSW in March 2016, where it later won the SXSWedu launch competition.

Nearly three weeks after the Parkland high school shooting that killed 17, another American business has distanced itself from guns. Bumble, the dating app where only women are allowed to initiate contact in heterosexual matches, announced Monday it would systematically delete photos on users' profiles that feature guns, with the exception of military or law enforcement members in uniform. We were founded with safety, respect and kindness in mind. As mass shootings continue to devastate communities across the country, it's time to state unequivocally that gun violence is not in line with our values, nor do these weapons belong on Bumble. "As mass shootings continue to devastate communities across the country, it's time to state unequivocally that gun violence is not in line with our values, nor do these weapons belong on Bumble," the company said in a statement on its website.

Can India's seemingly insurmountable socioeconomic problems be tackled using artificial intelligence (AI)? The answer may lie somewhere in the future--but one Indian-American billionaire duo has decided to make a start. Last month, US-based philanthropist brothers Romesh Wadhwani (70) and Sunil Wadhwani (64) established India's first AI research institute in Mumbai, looking to deliver scaleable, tech-led solutions to the country's ills like inadequate healthcare and educational facilities by honing the AI ecosystem. Their institute, Wadhwani AI, was launched on Feb. 18 by prime minister Narendra Modi and is located in Mumbai University's Vidyanagari campus in Kalina. With over four decades of experience in the US, running various tech enterprises and philanthropic organisations, the Wadhwanis expect the institute to mirror the likes of San Francisco-based non-profit OpenAI and MIT's Allen Institute for AI.

For many countries, the prospects of artificial intelligence (AI) are thrilling. They conjure up the kinds of innovations we see in science fiction. In Africa, however, the dawn of AI carries with it a fear of falling further behind more-developed economies, rather than the eager anticipation of new technology--the World Economic Forum predicts a net loss of five million jobs to AI worldwide by 2020. But Africa need not dread the age of robotics and automation. Across the continent, from Ghana to Zimbabwe, this technology has the potential to bring myriad positive changes in sectors such as health care and finance, bridging the gap between physical infrastructure inadequacies and consumer demands, while freeing up more time for skilled labor and increased labor productivity.