Sprockets are turning……big day for Big Data in machine learning land at Hewlett Packard Enterprise! Today Haven OnDemand, our industry leading machine learning as a service, crossed the 15,000 user threshold! This innovative offering that has created quite a stir, released with full commercial enterprise support on March 10th, it is attracting interest from forward-thinking developers small and large across the globe. Available today to any developer as a freemium version – yup it costs nada! Even comes with a "Try It!" button so you can see in seconds precisely how it works and how it can be integrated into virtually any application.

Earlier this year, robots withdrew in defeat from the hospital. Johnson & Johnson had been trying--operative word, trying--to sell a robot that can put patients to sleep for simple procedures like colonoscopies. Who did not like this? Human anesthesiologists, of course, whose jobs would be on the line. Professional groups lobbied hard against the device, questioning its safety. Even after the Food and Drug Administration approved the device, hospitals were wary.

There is an ongoing war between hackers and information security systems. It usually plays out far from the public eye and happens constantly on servers all over the world. Millions of events take place on computers that could potentially signal malicious activity, and it is the job of carefully-designed software to decipher between the good and the bad. Unluckily for them, missing a single malicious event could mean hundreds of millions of dollars in damage to a company. A recent study from the Massachusetts Institute of Technology (MIT) suggests that the good guys in that fight may have found a significant advantage.

Yes, to get you to pay attention to what would otherwise be a fairly dense and nerdy thing, Google is using an homage to Boaty McBoatface for one of the software tools it's releasing today. But don't just laugh (or groan) at the name, what Google is giving developers and researchers access to is a big deal. Today, it's open-sourcing something it calls SyntaxNet and a component for it, Mr. McParseface. These are some of the tools that Google uses to understand natural language when you type it into a box or speak to Google Now. SyntaxNet is the overall framework for parsing sentences, called a "syntactic parser."

A product team at Google is working on a hardware device that would integrate Google's search and voice assistant technology, akin to the Amazon Echo, Recode has learned. Google's device will resemble its OnHub wireless router, according to several sources. We don't know if it has a name yet, but internally the project goes by "Chirp." The Information previously reported that Google was plotting a competing version of Echo, a portable speaker with voice assistant tech. Sources said the device is unlikely to launch next week at Google's I/O developer conference, but plans are for it to land at some point this year.

As a leading technologist, Abinash has a vision that Indians can build great product companies provided the government and telecom operators figure out a way to offer free internet for students. AT: It pains me that we have technology focused on selling retail products to consumers. That said, India has the engineering skills to build technologies like machine learning and artificial intelligence. If the product is driven at large corporate then the founder must have great marketing skills.

It is not often that you meet someone who looks at technology as a tool to make an impact on customers and in turn bring returns to business decisions. It is unfortunate that most of the business world puts customers second, but spend enormous amounts of money in acquiring them. The world of IT is not about information capture, it is about the "machine" learning continuously to understand the queries of clients or consumers – of the enterprise – when a transaction is made on the smart phone. Co-founder of Helpshift Abinash Tripathy is a technology proponent and believes that it can improve lives. But, he is vociferously against technology that focuses on trading – like ecommerce businesses that sell on discounts to capture consumer eye-balls.

When you get right down to it, developing vaccines is about data and luck. Scientists start with a set of variables--what drugs a virus responds to, how effectively, and for whom--and then it's a whole lot of trial and error until they stumble upon a cure. One of the most exciting possibilities in medical research right now is how technology like machine learning could help researchers rapidly process those enormous sets of data, more quickly leading to cures. This is already starting to happen: In a study published Wednesday in the journal Macromolecules, researchers from IBM and Singapore's Institute of Bioengineering and Nanotechnology reveal a breakthrough that could help prevent deadly virus infections. With the help of IBM super computer Watson, they hope their finding will soon make its way into vaccines.

The decision tree in the figure is just one of many decision tree structures you could create to solve the marketing problem. The task of finding the optimal decision tree is an intractable problem. For those of you who have taken an analysis of algorithms course, you no doubt recognize this term. For those of you who haven't had this pleasure (he says, gritting his teeth), essentially what this means is that as the amount of test data used to train the decision tree grows, the amount of time it takes to do so grows as well--exponentially. While it may be nearly impossible to find the smallest (or more fittingly, the shallowest) decision tree in a respectable amount of time, it is possible to find a decision tree that is "small enough" using special heuristics.

Chances are, you're already hip-deep in machine-learning applications. It's how Google Photo organizes those Read more