Google's self-driving cars and robots get a lot of press, but the company's real future is in machine learning, the technology that enables computers to get smarter and more personal. We are probably living in the most defining period of human history. The period when computing moved from large mainframes to PCs to cloud. But what makes it defining is not what has happened, but what is coming our way in years to come. What makes this period exciting for some one like me is the democratization of the tools and techniques, which followed the boost in computing.
Robotics surgeries may currently be an expensive proposition for hospitals, but robots and artificial intelligence will certainly play a major role in the healthcare sector in the future. Several startups such as DiFacto Robotics, SigTuple and Aindra are working to bring new technologies to reality in India. A group of top executives from hospital chains, investment firms and startups discussed the future of healthcare at the News Corp VCCircle Healthcare Investment Summit, held in Mumbai recently. Sign up for our daily newsletter to get our top reports & videos.
Chinese artificial intelligence start-up SenseTime Group is planning an initial public offering (IPO) and aims to open a research and development (R&D) center in the United States as early as next year, its founder told Reuters in an interview. The Hong Kong and Beijing-based deep learning company founded by Tang Xiaoou, a professor at the Chinese University of Hong Kong, is a leader among Chinese AI start-ups that are enjoying fast growth thanks to demand from the government and private sector for their facial recognition technology.[nL4N1N72PS]
In fact, they ought to be relieved: AI is more likely to make their jobs easier than redundant. Machine learning, the latest iteration of AI, can sift through that data and spot patterns humans might miss. But machines don't know what to do with that information--at least not yet. In recent decades, the volume of medical images has skyrocketed, reflecting growing patient loads, more types of scans and the number of images each exam produces. CT scans that once captured one dimension of the body can now capture all three, generating hundreds or even thousands of highly detailed images.
When the cheapest Kindle e-reader drops to $50, it's difficult to resist snagging one on an impulse buy. Appealing to our most reptilian consumer instincts is just how Amazon rolls, and--right on schedule--the retail behemoth-cum-hardware manufacturer is dropping prices across its product lines. Here are all the Black Friday deals for the Amazon Echo, Kindle, and Fire tablet lines. We're also including links to our own coverage of the price-dropped devices (many of which are best in their categories, the Amazon pedigree notwithstanding). Amazon says these deals will end at the stroke of midnight on Monday, Nov. 27.
Dozens of gizmos will work with one or both of these speakers, and third-party manufacturers continue to bring out additional ones. If you'd like to see all of your options, Google has made a list of Home-compatible devices and Amazon has collected the Echo-compatible ones. With so much smart tech out there, it can be hard to figure out which device to buy first. So we collected six of our favorite gadgets for smartening up your home. Google's dinky streaming dongle works like a charm with Google Home.
In vegetables, for instance, important nutrients are stored in cells with walls of cellulose, a substance you can't digest. Don't throw away the water in which you boil the vegetables. It holds up to 50 percent of the minerals. Carrots are an excellent source of vitamin A, an important factor for night vision. If you suffer from night blindness due to a deficiency in vitamin A, carrots will help.
At home, it helps power personalized shopping apps, suggests personalized entertainment experiences, manages and monitors self-driving cars, supports virtual assistants, and improves navigation. At the office, it helps businesses develop the next best offer, recruit top-notch candidates, detect fraud, automate supply chains, and boost data center efficiency. Yet, corporate finance leaders are asking deeper questions which require more advanced analytics systems. "Why can you ask your mobile phone for directions to find the nearest restaurant but you can't ask your system how revenues are trending in Italy?" Oracle Vice President of Product Strategy for Big Data Analytics, Rich Clayton said during a recent Financial Executives International (FEI) webcast. "Why is that your systems don't understand your processes?
Ahead of Amazon's big AWS division Re:invent conference next week, the company has announced two developments in the area of artificial intelligence. AWS is opening a machine learning lab, ML Solutions Lab, to pair Amazon machine learning experts with customers looking to build solutions using the AI tech. And it's releasing new features within Amazon Rekognition, Amazon's deep learning-based image recognition platform: real-time face recognition and the ability to recognize text in images. The new lab and the enhancements to its image recognition platform underscore the push that Amazon and AWS are giving to AI at the company, both internally and as a potential area to grow its B2B business in this area. They come about a month after AWS announced it would be collaborating with Microsoft on Gluon, a deep learning interface designed for developers to build and run machine learning models for their apps and other services.
Job Qualifications We are looking for candidates whose teaching and research interests are related to marketing analytics, summarized by one or multiple of the following keywords, amongst statistical and machine learning algorithms, (rule-based/hybrid) ensembles, predictive modeling, R, Python, SAS, Spark, (NO/)SQL, web analytics, web scraping, social media analytics, data mining, recommendation tools, process mining, social network analytics, fraud detection, text mining, visual analytics, and/or big data analysis tools. Applicants should possess a PhD and be able to provide evidence of publications (and/or demonstrate the potential to publish) in reputable academic journals. The candidate will contribute to the IÉSEG Excellence Center for Marketing Analytics and shares his/her expertise within the MSc. in Big Data Analytics for Business. He/she also needs to provide evidence of strong teaching skills and/or professional experience. Applicants should be completely fluent in English as all courses will be taught in this language.