Google has released an update to its Google Photos app with four new features made possible by machine learning. Today we're bringing you four new features for Google Photos -- three new ways for you to relive and the share moments that matter, and a quick way to fix some of those pesky sideways photos in your collection. Here's a look at the new features... 1. Google Photos will now help you rediscover old memories of the people in your most recent photos. As your photo library continues to grow, we hope that features like this one make it easier to look back at your fondest memories. If you take a lot of photos of your child, for example, you may occasionally get a card showing the best ones from the last month.

IBM just made another major step toward getting its Watson supercomputer into hospitals around the world. Siemens and IBM Watson Health are teaming up in something they're calling a five-year "global strategic alliance" to bring Watson to population health -- a concept that's aimed at improving the health of people in an entire community, not just those in the hospital needing immediate care. The companies did not disclose the financial terms of the partnership. Siemens is a German industrial company which, in addition to a healthcare branch (dubbed Siemens Healthineers), also works in energy and transportation. The partnership basically just gives Watson a chance to reach out to a lot more people who provide healthcare, as according to Siemens, the company is involved in more than 70% of "critical clinical decisions" thanks to Siemens instruments.

IBM Australia is looking to maintain its first-mover advantage in the burgeoning enterprise artificial intelligence (AI) space by putting more resources behind its cognitive drive. The vendor has spent 2016 arming its commercial operation with a new team that has the industry domain knowledge to drive Watson harder into specific verticals. Its local Research team has revealed involvement in cutting-edge projects for IBM's nascent Watson Health business, as well as around neuromorphic computing, which is seen as the next evolution of Watson. Since IBM created the US 1 billion ( 1.3 billion) Watson Group in 2014, the vendor has been selling business on the benefits of cognitive computing, while at the same time trying to create as many applications and use cases for the technology as it can. While these efforts were initially internally-driven, the growth of Watson over the past two years has increased the number of people and organisations working with the technology, with a growing amount of this work being done behind the scenes.

The film studio 20th Century Fox has called in IBM Watson, the supercomputer, to create the trailer for its upcoming AI horror/thriller, Morgan. IBM Watson has done many things; beat human contestants in quiz shows, created bespoke recipes and described the contents of photos. Now it has become the first-ever AI to produce a film trailer for the new sci-fi film. IBM researchers fed Watson more than 100 horror film trailers cut into separate moments and scenes. It performed a series of visual, sound and composition analyses on each scene to get an idea of how to create the dynamics of a trailer.

Bret Greenstein, vice president of the IBM Watson Internet of Things Platform, says we'll come to love the autonomous car. Speaking at UPSHIFT 2016, he said it all has to with how the cars will listen to us and how we'll form relationships with them. Greenstein introduced the topic by talking about his first car, a 1960s Oldsmobile. He talked about all the classic car guy tropes, that he could fix it with "a screwdriver and duct tape" and how he knew what the car needed just by listening to it. With smart, autonomous cars, those roles will be reversed, with the car listening to you to find out what you need.

It knew enough about medical diagnoses and literature to beat "Jeopardy!" Now, an IBMcomputer platform called Watson is taking on something really tough: teaching third-grade math. For the past two years, the IBM Foundation has worked with teachers and their union, the American Federation of Teachers, to build Teacher Advisor, a program that uses artificial-intelligence technology to answer questions from educators and help them build personalized lesson plans. By the end of the year, it will be available free to third-grade math teachers across the country and will add subject areas and grade levels over time. "The idea was to build a personal adviser, so a teacher would be able to find the best lesson and then customize the lesson based upon their classroom needs," said Stanley S. Litow, president of the IBM Foundation. "By loading a massive amount of content, of teaching strategies, lesson plans, you'd actually make Watson the teacher coach," Mr. Litow said.

In some use cases, it is impossible for humans to replicate the performance of artificial intelligence. But businesses will need a lot of data for AI systems to be effective. Maybe you've seen an artificial intelligence (AI) system like Watson at work on "Jeopardy!" or have heard of its successes in medical diagnoses or other fields. Maybe you've only heard about other similar systems working through incredibly complex and large sets of data to produce results that even non-experts can understand, through visualizations or natural language. Either way, AI systems are impressing many on their march toward becoming essential business processes.

Memorably spoken by Alexander Graham Bell, these were the first words ever heard through a telephone. Since then, speech has become the natural format for long-distance communication across the globe. The impact of voice-to-voice communication has meant that even written messages, sent via email and social media, have become increasingly conversational in tone. That Watson was not IBM Watson, of course, or Watson's namesake Thomas J Watson. But IBM Watson, by bringing a cognitive, learning approach to the absorption of data, has made it possible for computer systems to understand spoken language, and the more natural, colloquial way we now express ourselves in text.

Watson, IBM's artificial intelligence computer system, is ridiculously prolific. In the last few years it's written a cookbook, crafted a movie trailer, joined the debate team, and helped in medical education, among many other projects. The latest point on the system's resumé is to help make hospital stays more comfortable for patients and relieve the strain on doctors and nurses through smart speakers that can answer basic questions and grant patients' control over things like room temperature, the lights or the TV.

Bengaluru-based multi-speciality hospital chain Narayana Hrudyalaya (NH), which announced its IPO at the start of 2016, has 54 facilities all across India. At its different hospitals, Narayana carries out 650 to 700 cardiac surgeries each month. Speaking at the sidelines of a conference organised by Microsoft India last month, Kumar KV, Vice President at NH chatted with Gadgets 360 about how technology was changing the field of medicine, with immediate developments in fields such as 3D printing, along with long term projects such as the use of deep learning to improve the predictive capabilities of hospitals. At the same conference, Sriram Rajamani, Managing Director at Microsoft Research, India, explained that we are now beyond the point of just talking about machine learning, as gradual improvements in algorithms, and gradual increases in computing power, along with distributed and data processing via the cloud are making it possible for machines to have a quantifiable impact in the field of medicine. For example, Microsoft Research is currently running a project called 99Dots to improve medication adherence for tuberculosis patients.