When Gary Reiner was the chief information officer of General Electric for parts of two decades, ending in 2010, he had an unusual purview in that role even for today. He led mergers & acquisitions, sourcing, IT, operations, and quality teams for the company. Armed with an MBA from Harvard University, and having spent time as a partner at the consultancy, Boston Consulting Group, he brought an unusual degree of business savvy to the role of CIO. Since then, Reiner has made the unusual leap from CIO to venture capital, joining the growth equity firm, General Atlantic immediately after his tenure at General Electric. In that role, he has joined the boards of a number high growth companies (Box, Mu Sigma, Appirio, SnapAv), while also joining the boards of mature companies such as Citigroup and Hewlett Packard Enterprise.

Spark Notes is a recurring series about the lightbulb moments in sexual development. My parents were both readers, and they didn't let us watch that much TV. By the time I was 11, books had been my primary source of entertainment for as far back as my memory could go. Getting my adult library card in sixth grade was, in that context, a milestone of tremendous importance, a first moment of awe at being inducted into the grown-up world. Wandering into the adult stacks for the first time, I remember seeing the name Asimov in the "A" section in huge letters across dozens of titles, and taking two or three of them down to check them out.

Twitter has one of the biggest data sets in the world. It is much different from Facebook from the aspect that Twitter is real time. Twitter data sets are awesome troves of information and provide great insights. Working on some Twitter data set and providing valuable insights can be a good portfolio project to showcase. One can get twitter data here.

ASTANA – A humanoid robot named Sophia told a conference of mayors from Silk Road cities July 3 that she loves Astana architecture. "Walking around the city, I fell in love with the unique architecture of your capital, in which the most advanced technologies and innovative methods of city planning in the 21st century are concentrated. I saw a beautiful and dynamic young capital with magnificent buildings," Sophia told the Global Silk Road Cities Mayors Forum. Sofia is equipped with artificial intelligence, visual information processing and facial recognition technology. She can imitate human gestures and facial expressions and can answer certain questions and conduct conversations on predetermined topics.

The field of artificial intelligence, to those on the outside, must appear to be an orderly gathering of intellectuals collaborating at the cutting edge of technology. If you dig beyond the hyperbole of Elon Musk and the wonders promised by Google, there's a number of gnashing dissenters who're happy to toss shade at the entire industry. These people are called academics. And, I'll be up front, I think they have a point. But more on that later, for now let's talk about Simon DeDeo.

When IBM's Deep Blue supercomputer won its famous chess rematch with then world champion Garry Kasparov in May 1997, the victory was hailed far and wide as a triumph of artificial intelligence. But John McCarthy – the man who coined the term and pioneered the field of AI research – didn't see it that way. As far back as the mid-60s, chess was called the "Drosophila of artificial intelligence" – a reference to the fruit flies biologists used to uncover the secrets of genetics – and McCarthy believed his successors in AI research had taken the analogy too far. "Computer chess has developed much as genetics might have if the geneticists had concentrated their efforts starting in 1910 on breeding racing Drosophila," McCarthy wrote following Deep Blue's win. "We would have some science, but mainly we would have very fast fruit flies."

In April 2018, the Nobel Prize Inspiration Initiative and 3M hosted the lecture, Climate Change: Science and Policy with Dr. Mario Molina. Molina won the Nobel Prize for Chemistry for his scientific discovery of the chemistry of the stratospheric ozone layer and its susceptibility to human-made activities. He co-authored research in 1974 in Nature magazine on the threat to the ozone layer from chlorofluorocarbon (CFC) gasses being used in spray cans. Molina has also served on the United States President's Council of Advisors on Science and Technology from 1994 to 2000 and again in 2010-2016. "Science doesn't tell you what to do. Science isn't either good or bad so you can not give Nobel prizes in science to good people, you do that in principle for the science," said Molina.

We are seemingly joined by Bollywood star Shah Rukh Khan (their brand ambassador) during our visit to the BigBasket Offices to interview Subramaniam Mani, their Analytics Head. He believes that the major difference between the software and AI waves is that although India was slow to adopt software service as compared to America, this time around with the AI wave, adoption will be much faster and only slightly behind the leading countries. "This is the second wave. The software wave was 30 years ago. Folks in India realized that they've been able to scale software and I think AI / ML is an extension of software development." While software was often taught through books and in classrooms exclusively, many of the latest artificial intelligence approaches are available to learn online – along with huge suites of open-source tools (from scikit-learn to TensorFlow and beyond). Going in, we knew that one of the key advantages for India would, in fact, be the very IT and ITeS sectors which will make it easy for Indian tech providers to transition into AI services, given that well-developed ecosystems have evolved over the past 25 years in cities like Bangalore and Hyderabad.

How do you get every single girl a full 12 years of quality education? That's the question at the heart of the Malala Fund, the organisation set up by Malala Yousafzai, the young Nobel Prize winner. And she wants to provide this education in parts of the world where it can't be taken for granted. Luckily, she has a powerful ally. In January, Apple revealed a tie-up with Malala Fund as part of the initial goal of getting 100,000 girls into education in Afghanistan, Pakistan, Lebanon, Turkey and Nigeria. But today it has been announced that the collaboration is expanding to Latin America. This expansion means grants will be offered to advocates in Brazil, who will join the Malala Fund's network of so-called Gulmakai Champions.

"I may find three bugs, but the way I report information could change the decisions that business people have made, and I think business people will value those who help them make better decisions." On this episode of the Continuous Testing Live podcast, well-known software testing entrepreneur Pradeep Soundararajan shares his views on the opportunities that AI offers to testers who keep an open mind and a strong focus on user experience. Soundararajan also shares two questions that testers should always ask themselves when working to make informed decisions that impact both their customers and the business. Click here to listen to the podcast. Noel: So when I think of AI and machine learning in the software testing industry, I envision people using it to take care of things the same way we think about test automation: something we use for functional testing. But when I read a blog you wrote, titled, "AI-driven Functional Testing," it got into how we might also be able to use AI for exploratory testing, which I had not seen anyone write or talk about before. I'm really curious about the word "driven" in that title and wanted to get you to maybe expand a bit on how AI can be used to not just "aid" your functional test efforts, but really "drive" them.