This robot at the Institute for Artificial Intelligence can make popcorn. But is AI a topic that CEOs need to worry about today? If you're a CEO and sometimes think your technical team speaks a different language, you're not alone. My world is saturated with tech jargon because I am a venture capitalist who reviews and meets with hundreds of tech startups every month. But which buzzwords are the most important for a CEO to understand?

With growing criticism over misinformation in search results, Google is taking a harder look at potentially "upsetting" or "offensive" content. SAN FRANCISCO -- With growing criticism over misinformation in search results, Google is taking a harder look at potentially "upsetting" or "offensive" content, tapping humans to aid its computer algorithms to deliver more factually accurate and less inflammatory results. The humans are Google's 10,000 independent contractors who work as what Google calls quality raters. They are given searches based on real queries to score the results, and they operate based on guidelines provided by Google. On Tuesday they were handed a new one: to hunt for "Upsetting-Offensive" content such as hate or violence against a group of people, racial slurs or offensive terminology, graphic violence including animal cruelty or child abuse or explicit information about harmful activities such as human trafficking, according to guidelines posted by Google. The goal: to steer people with queries such as "did the Holocaust happen" to trustworthy websites and not to websites that engage in falsehoods or hate speech.

As we discussed in a previous article, "Analytics in The Stock Market: Made for Each Other," the financial services industry would seem to be a particularly good fit for current advances in artificial intelligence (AI) and machine learning. After all, financial services are based on understanding risk and balancing a wide range of numeric factors as well as predicting trends. However, uptake of machine learning and AI has been relatively slow in this industry. The chief reason is the need to maintain a conservative outlook and to accommodate a wide range of processes and systems based around legacy information technology. Despite this, we will likely see some change soon.

As organizations look to become more agile in the age of digital business, one of the first issues they routinely encounter is how rigid their supply chains are. Most supply chains are designed to optimize the delivery of a handful of variations of a product at a time when customers are demanding more customization than ever. To help organizations inject some flexibility into those supply chains, SAP has announced it has infused its SAP Business Planning Suite of software with a suite of machine learning algorithms it has packaged together under a SAP Clea brand name. Martin Barkman, vice president and global head of digital business planning for SAP, says SAP Clea takes supply chains past predictive analytics to give organizations access to software that over time learns how to optimize the supply chain. Armed with that capability, Barkman says, organizations can then segment supply chains to drive additional business opportunities in the most efficient way possible.

But I'm not going to talk about how they work on an implementation, nuts and bolts level. Instead I'm going to provide a high-level framework for conceptualising all of these operations, which will hopefully provide some insight with which you'll be able to visualise these otherwise complicated, mathematical and rather opaque procedures in a more intuitive way. The core of this approach is to think of all of these operations as journeys through multiple dimensions and transformations in space. To actually implement these algorithms, it is of course essential to understand the lower level nuts and bolts, the maths, the architectures, training algorithms, hyper-parameters etc. But given a decent implementation and API, I don't think it is necessary to understand the lower level nuts and bolts just to use the algorithms.

The two words that can send goosebumps to every college basketball fan in the country. It's the month where every fan will fill out a bracket, each thinking that they picked the right 12 over 5 seed upset or that they were the only one to pick the Cinderella team that makes it to the Elite 8. The month where people will spend hours watching regular season games, pouring over stats and expert analysis, trying to carefully predict the most likely winner, only to find their pick lose in the first round (Thanks Michigan State). The month where your younger sister ends up having a better bracket than you because she picked the teams with the "cooler" mascots (Sad, but true story). March Madness is the sports phenomenon that incites anxiety, regret, elation, and every other possible emotion in the spectrum. And it's about to start in 4 days.

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. Businesses are scrambling to use artificial intelligence and trying to work out how best to put digital assistants to work. Consumers are wondering what impact these new technologies will have on their everyday lives. From business to leisure, we interact with AI when we use an app to turn on a light bulb, talk to Google Home or Amazon Alexa, or write better emails.

We've seen many buzzwordy innovations in technology over the last decade, from cloud computing to big data to microservices and beyond - but artificial intelligence (AI) by far has the most buzzword baggage. On the one hand, AI is perhaps the most revolutionary set of innovations since the transistor. But on the other, the bad press surrounding it continues to mount, perhaps even faster than the innovations themselves. We didn't suffer this kind of PR nightmare with the cloud, or the web, or even client/server. In fact, AI has an unprecedented set of PR challenges that threaten to sink the entire movement.

Google will start shipping development kits for its Project Soli wireless gesture recognition technology later this year. Project Soli involves a millimeter-wave radar chip that can detect "very fine" gestures with fingers and hands. It can then be used for playing games using hand gestures on mobile devices, computers, and electronics. The technology has the potential to get rid of controllers and input devices. Its biggest impact could be in virtual and augmented reality.

McDonald's called Donald Trump a "disgusting excuse for a President" with "tiny hands", in a message on Twitter. The post, now deleted, also said that the company "would love to have Barack Obama back". The company claimed that the tweet, sent from its corporate Twitter, was posted because the account was hacked into. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.