Artificial intelligence has become the pet anxiety of luminaries like Elon Musk, Bill Gates, and Stephen Hawking. They have all expressed concerns about our Promethean quest to develop machine intelligence, and those concerns seem to be spreading every day. But there's another dimension of technological change that ought to worry us every bit as much as AI, if not more so. Bioengineering has already allowed human beings to take control of their own evolution. Whether it's emergent cloning technologies or advanced gene therapy, we're quickly approaching a world in which humans can -- and will -- change the way they live and die. Michael Bess is a historian of science at Vanderbilt University and the author of a fascinating new book, Our Grandchildren Redesigned: Life in a Bioengineered Society. Bess's book offers a sweeping look at our genetically modified future, a future as terrifying as it is promising. "We're going to give ourselves a power that we may not have the wisdom to control very well," he told me.

Google just launched Google Home, a voice-activated speaker, powered by the tech giant's virtual Google Assistant that's also featured in their new Pixel and Pixel XL smartphones. The speaker aims to bring the power of Google's numerous services--like offering weather updates and converting measurements, among other tasks--into a stylish and easy-to-use package. At a quick glance, Google Home is a direct rival to the popular, Alexa-powered Amazon Echo speaker. Google has priced the newcomer attractively at $130, revealing that it has serious intentions about this rapidly growing product category. Google Home features a high-quality speaker with three audio drivers, sophisticated far-field microphones, and intuitive touch controls.

Presume we have millions getting hospitalized in seconds and many give up their lives because of ignorance. Can DATA SCIENCE be used to wade off this IGNORANCE completely? In the era when we have genome project ongoing I believe having all information's handy being so surplus "coming under the purview of Big Data" can we use data science to help PREDICT who next to be hospitalized well ahead of time rather than waiting for the symptoms to popup and we take some irrelevant pills to waive off those symptoms. While working at my phd problem statement, I got stumbled over this idea what I have disclosed for an open discussion struck by how the supervised machine learning techniques that industries used can be restructured to suit to help predict the next person in our neighborhood to be hospitalized and the hospital get an alarm call and then the concerned person is diagonozed and treated in its preliminary stage itself rather than waiting and advancing it to NEVER COME BACK stage. Supervised machine learning helps with prediction of Y if given X.say we have a situation of Y MX C is the condition of disease element in our body.If both Y and X are known data science help mankind to identify those m and c which could curb the growth of X and Y. say in the case of cancer cell being X and Y parameters and we wanted to curb the growth we need to find values of m and x which could stabilize and neutralize the effects.

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The games developer gets into hacker education. People tend to think the world of data capture--as it pertains to their online activity--is limited to web clicks. It is not at all, and Ubisoft wants you to understand that as the gaming company promotes its new hacker-themed video game called Watch Dogs 2, which is due out Nov. 15. The Montreal-based player today is launching a microsite called Selfie Reveal, which allows viewers to upload pictures they've shared on social media to understand what data--such as their location--can be gleaned from their pics. The initiative, which is being led by agency AKQA, is being pushed by digital ads on Facebook, Twitter and other channels.

It's Halloween and that means every article you come across will have some spooky twist. That is, until the smell of turkey starts to fill the streets. But witches and demons are no longer the threat they once were. In recent years, Halloween has summoned eerie thoughts and ideas about "the rise of the machines." So, in the spirit of the spookiest day of the year, here are some of the latest articles discussing the present and future of Machine Learning.

For the study, published in PeerJ Computer Science, researchers set a machine-learning algorithm loose on 584 cases and found that the AI could learn to predict the rulings in those cases with a relatively high percentage of accuracy. But if you're getting really excited about working with computer-lawyer-physic software in the future, well, there are a few caveats. Those 584 cases were all from the European Court of Human Rights and the analysis was based on published judgments. The program was learning to guess outcomes in a narrow class of cases, after they had already been decided. Still, the research is interesting.

Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word. Researchers at Google DeepMind now have a way around this. They made a few clever tweaks to a deep-learning algorithm that allows it to recognize objects in images and other things from a single example--something known as "one-shot learning." The team demonstrated the trick on a large database of tagged images, as well as on handwriting and language.

This brings the three-year-old company's total funding to over $8 million. Photo taken by Alex Villafania The Department of Science and Technology (DOST) is planning to incorporate research into artificial intelligence (AI) in its 2017-2022 development agenda in an effort to ramp up the country's science and technology research programs. DOST Secretary Fortunato de la Peña said during the recent National Research and Development Conference that they intend to incorporate AI into the Philippine Development Plan called "Ambisyon Natin 2040." Researchers from the Fraunhofer Institute for Medical Image Computing (MEVIS) in Bremen, Germany have developed software that uses deep learning to facilitate the detection of tumours in progressive cancer treatment images. The package will be demonstrated in Chicago at the world's largest radiology meeting, RSNA, on 27 November to 2 December.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. On Tuesday, Twitter introduced two new features in its Direct Messages (DM) channel aimed at creating a better conversational experience for both businesses and consumers. Twitter's announcement is an attempt to replicate the same personalized, yet highly scalable environment chat apps like Messenger and Kik provide. This makes sense considering the company's struggles to remain relevant in the increasingly chat-app-centric mobile world.