Apple has acquired a new machine-learning company, Tuplejump, based in India/US. According to a report by TechCrunch, this is the third machine-learning company Apple has acquired within a window of two years. Though there hasn't been any official confirmation by the Cupertino giant, their response to the queries regarding the acquisition gives a clear indication that the deal has happened. The company responded to the questions saying, "Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans." Though Tuplejump's website has been taken down after the acquisition, a Wayback Machine capture reveals this was the companies introduction: "A few years ago people realised that the volume of data that businesses generate was becoming unwieldy. A new set of technologies to handle this huge amounts of data cropped up. We were one of the early adopters of these'big-data' technologies. Having helped Fortune 500 companies adopt these technologies we quickly realised how complicated they were and how much simpler they could get. Thus started our quest to simplify data management technologies and make them extremely simple to use. We are building technology that is simple to use, scalable and will allow people to ask difficult questions on huge datasets."

While robots and computers will probably never completely replace doctors and nurses, machine learning/deep learning and AI are transforming the healthcare industry, improving outcomes, and changing the way doctors think about providing care. Machine learning is improving diagnostics, predicting outcomes, and just beginning to scratch the surface of personalized care. Imagine walking in to see your doctor with an ache or pain. After listening to your symptoms, she inputs them into her computer, which pulls up the latest research she might need to know about how to diagnose and treat your problem. You have an MRI or an xray and a computer helps the radiologist detect any problems that could be too small for a human to see.

Apple has acquired a Hyderabad-based machine learning startup Tuplejump to strengthen its expertise in artificial intelligence, reports TechCrunch. "Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans." the Cupertino giant told the publication, indicating the deal was likely an acqui-hire. Tuplejump was founded in 2013 by Rohit Rai, Satyaprakash Buddhavarapu and Deepak Alur and helps companies to store, process and visualise big data. Tuplejump's website has now shut down and founders Rohit Rai and Satyaprakash Buddhavarapu have joined Apple, as indicated by their LinkedIn profiles. This deal comes a month after Apple acquired another machine learning company Turi. It had also bought deep learning company Perceptio in October last year.

A deep learning platform that actually sells to the customer. This article outlines a successful sales automation platform that uses deep learning to drive customers down an order flow. Most sales processes are mostly linear and have a flow. A good sales agent knows how to guide the customer down this path gracefully. If the customer is deviating from the flow the sales agent knows how to sell the product and continue on with the order flow.

Computing could be set to take a quantum leap, ushering in a new era of fast, powerful, processing which could change the world. That's according to some of the speakers at a Cambridge Wireless technology conference, which focused on the'quantum computing revolution'. Based in the theory of quantum mechanics, quantum computing applies ideas such as super-position and entanglement to dealing with data. Or, as Colin Williams from quantum computing firm D-Wave, put it: "Classical computing is based on having a one or a zero. In quantum computing you can have lots of ones and zeros at the same time."

Daddy's Car

Have you ever thought of a system which will read a hand written text and type it? A machine is anything that lessens human effort. The art of developing machine which does not need extensive programming is known as machine learning. Machine learning is the process of developing artificial intelligence in computers, It does make computers do the desired work without being extensively programmed and with least human efforts. It does make a use of statistical analysis and predictive analysis.

Two important milestones were achieved within recent 15 days. Milestone 1: The first driverless taxi fleet is already operational in Pittsburgh. On September 14, Uber announced that the world's first Self-Driving Ubers are now on the road in the Steel City of Pittsburgh. As the company explains "We're inviting our most loyal Pittsburgh customers to experience the future first. If a Self-Driving Uber is available, we'll send it along with a safety driver up front to make sure the ride goes smoothly. Otherwise it's uberX as usual…This pilot is a big step forward. Real-world testing is critical to the success of this technology. And creating a viable alternative to individual car ownership is important to the future of cities".

Wave Computing will describe a chip that can train neural networks ten times faster than Nvidia--s top GPUs while consuming the same power. Wave's chip is one of a handful of announcements at next week's Linley Processor Conference. Also at the event, Ceva will describe a new DSP core for computer vision, Adesto will detail a NOR chip that can handle both storage and execute code and ARM will announce a new member of its family of on-chip interconnects. The news comes at a time of growing specialization in microprocessor design, according to the event's host, veteran chip analyst Linley Gwennap. "In the 1970's and '80's people created a lot of different architectures, but over the past 20 years work has consolidated more on to ARM and x86," said Gwennap, principal of the Linley Group.

As if quantum computing wasn't mind-bending enough, one of D-Wave Systems' founders is now pursuing another futuristic idea: using artificial intelligence and high-tech exoskeleton suits to allow humans--and, at least according to one description of the technology, monkeys, too--to control and train an army of intelligent robots. Geordie Rose is a co-founder and chief technology officer of D-Wave, the Canadian company selling machines that it claims exploit quantum mechanical effects to solve certain problems hundreds of millions times faster than traditional computers. Now an IEEE Spectrum investigation has discovered that Rose is also CEO of Kindred Systems (aka Kindred AI), a stealthy startup he founded with others in 2014 dedicated to delivering advanced teleoperated and autonomous robots. The goal is making programming robots faster and less costly–and possibly revolutionize the world of work. Kindred has so far received well over 10 million in funding, according to Data Collective, the venture capital firm that led one of the rounds.