Genre
Can Machine Learning Be Used For The Detection Of Autism?
Autism spectrum disorder (ASD) is typically diagnosed in early childhood, but genetic detection of this brain disorder could mean more timely interventions that improve life for the patient and their carers. A new study suggests that machine learning algorithms might be used to analyze genetic data that points to an autism spectrum disorder diagnosis before symptoms become obvious. Fuad Alkoot of PAAET in Kuwait, and Abdullah Alqallaf of Kuwait University, Kuwait, explain that unlike other conditions, such as cancer, little heed has been taken to the possibility of early genetic detection of autism. This is despite the fact that an early diagnosis could be very useful to parents and carers. The team has now developed a four-stage computerized neural network system for testing simplified genetic data.
IBM's World of Watson Debuts New Enterprise AI Tech - The MSP Hub
Big Blue is bringing its Watson artificial intelligence tools to the enterprise world in a big way, with new tools announced this week for marketing, commerce, supply chains, and human resources. IBM also rolled out a new hybrid cloud database solution, cognitive capabilities for iOS apps, and services for developers using the Slack collaboration platform. The company announced the new products and services at its World of Watson event taking place this week in Las Vegas. The conference is dedicated to promoting IBM's artificial intelligence technologies. One of the key themes of this year's conference is how Watson can help business professionals.
"AI is the next step for robots" - A Conversation with Nicolas Boudot - Dataconomy
The technology is complex and easy at the same time. The DNA of Aldebaran is maybe not to use the best technologies: If you look at those from Boston Dynamics or the ASIMO robot from Honda, they are wonderful robots. They can run, jump a wall, take glasses and give you drinks โ but these machines are far from ready to enter the market and they cost millions of dollars. We believe that with current technology, we are capable of producing a robot that is able to move, able to interact and can go to market today even if it doesn't have the best motor. We use technology that is affordable and know how to make it work correctly.
Why eating carrots, kale and sweet potatoes could prevent dementia
Eating carrots, kale and sweet potatoes could prevent dementia in older adults, new research suggests. Consuming the compounds that give plants and vegetables their vibrant colours can bolster brain functioning in older adults. Those who had lower levels of carotenoids in their system had to rely on more brain power to complete memory-orientated tasks, scientists found. The powerful compounds can be found in a range of colourful vegetables and are known to improve cognitive ability. Researchers from the University of Georgia used functional MRI technology to investigate how levels of carotenoids affect brain activity.
Cricket Australia Testing Microsoft's New Intelligent Coaches' Platform
The same Microsoft technology currently used by healthcare organizations and yes, robots, is now being tested throughout the summer months by Cricket Australia, making it the first cricketing nation to integrate the company's team and player performance platform into its decision-making processes across fitness, game strategy, player recovery and team selection. As part of the new deal with Microsoft, Cricket Australia is now one of a few sports organizations worldwide experimenting with the new platform. At the recent Microsoft Australia Developer Conference, Chief Executive Officer Satya Nadella said he was "glad" with how Cricket Australia was planning to integrate "machine learning" into its overarching strategy. "Cricket is one of the richest sports when it comes to using machine data. But how could you harness the power of data to even start having a more intelligent informed conversation about performance of teams, performance of players?"
Would you know if one of your Teaching Assistants was a bot? โ CognitiveBusiness
Online learning is becoming the norm in universities across the globe, bringing sweeping changes to the way we learn. But earlier this year on online graduate class at Georgia Tech took things a stage further. "Our Teaching Assistants are getting bogged down answering routine questions," said Ashok Goel, who teaches a graduate science course. Students in the class typically post 10,000 messages a semester on the Piazza forum for the course, many of which are either variations on a theme or simple logistical questions. To address this problem, Ashok turned to IBM Watson to create a virtual TA called Jill Watson who was trained on 40,000 posts and released to the wild on the live forum in March as an addition to the other eight TAs.
What Leading AI, Machine Learning And Robotics Scientists Say About The Future
The Fujitsu Ltd. RoBoPin communication robot at the Combined Exhibition of Advanced Technologies in Japan on Oct. 4, 2016. Every year there is a new hot topic in tech. The difference between now and the past is that everything is becoming interconnected at a faster rate. We are entering an extremely critical time in history where society will change dramatically โ how we work, live and play. Science fiction is morphing into reality. Flying cars exist, cars that drive themselves are on the road, and artificial intelligence that automates our lives is here.
Bridging the advances in AI and quantum computing for drug discovery and longevity research
Tuesday, 22nd of November, 2016, Baltimore, MD - Insilico Medicine, Inc and YMK Photonics, Inc announced today a research collaboration and business cooperation to develop photonics quantum computing and accelerated deep learning techniques for drug discovery, biomarker development and aging research. On the 15th of November, 2016 in the presence of over 800 YMK employees, customers, partners and investors, the Chairman of YMK Holdings, Mr. Kim Young Mo, the CEO of Insilico Medicine, Alex Zhavoronkov, PhD and Head of Insilico Korea, Professor Youngsook Park signed a memorandum of understanding to pursue mutual benefit in deep learning and cognitive photonics computing. "YMK is pursuing a very big vision. Extending healthy human longevity is not only the most altruistic cause, but a pressing socio-economic necessity. Insilico Medicine made substantial advances in applying deep learning techniques to drug development and aging research, but to accelerate the process and simulate entire human bodies and populations or generate optimal molecular structures, they could really benefit from our expertise in quantum computing. This collaboration is the first step towards cognitive quantum photonic computation for drug discovery and longevity research", said Mr. Kim Young Mo, the Chairman of YMK Holdings.
Data science industry eyes machine learning, recommendation engines
Ritika Gunnar is vice president of offering management, data and analytics at IBM. She has also served as a software engineer and as vice president for information integration and governance in IBM's platform analytics group. In this exclusive interview with SearchCloudApplications, she discusses the evolution of the data science industry and the skills that developers must possess to flourish in a data-driven world. Bringing development and IT ops together can help you address many app deployment challenges. Our expert guide highlights the benefits of a DevOps approach. Explore how you can successfully integrate your teams to improve collaboration, streamline testing, and more.
Algebraic multigrid support vector machines
Sadrfaridpour, Ehsan, Jeereddy, Sandeep, Kennedy, Ken, Luckow, Andre, Razzaghi, Talayeh, Safro, Ilya
The support vector machine is a flexible optimization-based technique widely used for classification problems. In practice, its training part becomes computationally expensive on large-scale data sets because of such reasons as the complexity and number of iterations in parameter fitting methods, underlying optimization solvers, and nonlinearity of kernels. We introduce a fast multilevel framework for solving support vector machine models that is inspired by the algebraic multigrid. Significant improvement in the running has been achieved without any loss in the quality. The proposed technique is highly beneficial on imbalanced sets. We demonstrate computational results on publicly available and industrial data sets.