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Replacing Humans With AI? IBM's Watson Edits An Entire Magazine On Its Own
IBM and a marketing company called The Drum just announced that the AI system known as Watson was able to edit an entire magazine on its own. According to a statement released via The Drum, the magazine edited by Watson contains different features that shows Watson's capabilities. It has different analytical functions, as well as skills necessary to assist modern-day marketers. Also, Watson has been programmed to have the capacity to answer a series of questions about David Olgivy, the "advertising legend," and was able to give some predictions for the winners of this year's Cannes Lions awards. While it is not yet the end for the human editors' careers, this does showcase the potential that artificial intelligence has in an ever-increasing number of fields. IBM Watson program chief David Kenny hopes that one day Watson will be able to ask people questions and develop abductive reasoning skills.
Here's how A.I. is about to make your car really smart
The number of intelligence (A.I.) systems used in infotainment and advanced driver assistance systems (ADAS) systems will jump from 7 million in 2015 to 122 million by 2025, according to a new IHS Technology report. IHS's Automotive Electronics Roadmap Report found the install rate of A.I.-based systems in new vehicles was just 8% in 2015, and the vast majority were focused on speech recognition, according to IHS. However, that number is forecast to rise to 109% in 2025, as there will be multiple A.I. systems of various types installed in many cars. "An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings," Luca De Ambroggi, IHS Technology's principal analyst for automotive semiconductors, said in a statement. "It learns, as human beings do, from real sounds, images and other sensory inputs. The system recognizes the car's environment and evaluates the contextual implications for the moving car."
An (A)I, (B)ots and (C)anvases Conversation Part I: My evolving view of Microsoft's AI vision
Microsoft envisions Cortana doing much more than reminding us to pick up toilet paper on the way home from work. Back in 2014, we Windows Phone fans could barely contain ourselves as we eagerly awaited Cortana's arrival on Windows Phone 8.1. At the time, like many writers, I had a vision of what Cortana would mean for Microsoft and mobile computing. So, well, I wrote about it. Alas, time has moved on, and that initial fervor that fueled the "Cortana conversations" of many Windows phone fans has transitioned through other topics. The Lumia 950 and 950 XL had their time in the limelight. HoloLens enters and re-enters the conversation. Windows 10 updates are a consistent topic, further fueled by Gabe Aul's passing of the torch to Dona Sarkar as the new face for the Insider Program.
Deep Learning Helps to Map Mars and Analyze its Surface Chemistry
They are funded by a new four-year, 1.2 million National Science Foundation grant to computer scientist Sridhar Mahadevan, lead principal investigator at UMass Amherst's College of Information and Computer Sciences. His co-investigators are Mario Parente, an expert in analysis of hyperspectral images at UMass Amherst, and Darby Dyar of Mount Holyoke, a specialist in planetary chemistry and geology who serves on the scientific mission team for the Mars rover. As Mahadevan explains, NASA's Curiosity rover, a car-sized robot, has been exploring a crater on Mars since August 2012 and sending back a steady stream of specialized camera images and data on the chemical composition of rocks and dust for analysis. The data range from one-dimensional spectra of rock samples to three-dimensional hyperspectral images of the Martian surface. He advises Ph.D. students Thomas Boucher, CJ Carey, Steve Giguere, Ian Gemp, Francisco Garcia and Ishan Durugkar in the Autonomous Learning Laboratory, who are exploring machine learning methods to show, for the first time, that new deep learning approaches provide a practical and useful new tool for handling large scientific data sets.
The Weekly Archive: Facebook Lights A Torch Under Machine Learning Adoption - ARC
The "why" and "what" questions are fairly straightforward. Why would a company employ machine intelligence? To help mine large data sets, recognize patterns and improve the infrastructure of systems. What is answered through the tools from the likes of Google, Facebook, Microsoft and IBM. Now comes the pertinent questions: how do I get into this to help my business.
Human-in-the-loop deep learning will help drive autonomous cars
In a not-too-distant future, autonomous cars, driven largely by AI systems, will hit the road in large numbers. But getting autonomous vehicles on the road is only half the battle. That's because, even after the cars are out there, system operators will need to frequently update their software models and deploy updates to their fleets. While we can all get away with updating our smartphone apps only once every few months for fun, autonomous cars aren't Angry Birds, and their software will need to be updated regularly in order to keep passengers safe. Across the board, auto manufacturers agree that continuously training and deploying updated software models to their fleets is their biggest challenge.
Top Certification Courses in SAS, R, Python, Machine Learning, Big Data, Spark ( 2015-16 )
What could be more convenient than upgrading skills online? There are plenty of courses / certifications available to kick-start your career in analytics. These courses are provided in online, offline or hybrid mode. The only difficulty students face is to decide the best out of these courses. With some newly introduced courses, it has become even more difficult to make a convincing decision. The fear of investing in unworthy courses continues to remain the biggest hurdle for students. Last year, I received thousand of emails after I published Top Certifications on SAS, R, Python, Machine Learning. Later, I came to know that my analysis helped many people in deciding the best course for themselves. The year 2016 is no different either. I am back with my thorough analysis and rankings of best certifications courses in India. I assure you these rankings are unbiased. Last month, we released our rankings on Top Business Analytics Programs in India 2015-16. If you too are planning for a degree in analytics, you may like to consider these institutes. In this article, I'll focus on ranking short duration and certification courses. I've considered the courses which are delivered in online or hybrid mode.
This Is the Tech That Will Make Learning as Addictive as Video Games
Learning needs to be less like memorization, and more like…Angry Birds. Half of school dropouts name boredom as the number one reason they left. The post is about why the future of education will be about flipping our current model on its head and about how key exponential technologies like AI, VR and gamification are going to drive a revolution in education. In the traditional education system, you start at an "A," and every time you get something wrong, your score gets lower and lower. You start with zero, and every time you come up with something right, your score gets higher and higher.
IBM forms Watson Health medical imaging collaborative to improve doctors' work
IBM this week announced it has created a Watson Health medical imaging collaborative, a global initiative including more than fifteen leading health care entities such as academic medical centers, ambulatory radiology providers and imaging technology companies. The collaborative aims to bring cognitive imaging into daily practice to help doctors address cancers, diabetes, eye, brain and heart diseases. Members of the collaborative intend to put Watson to work to extract insights from previously'invisible' unstructured imaging data and combine that with a variety of data from other sources. In doing so, the efforts may help doctors make personalised care decisions relevant to a specific patient while building a body of knowledge to benefit the broader patient populations. This information may include data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published studies.