This Computer Science Research Team Is Using Machine Learning to Give Us Medical Results (Much, Much) Faster

#artificialintelligence

The process, however, can require painstaking and often tedious work from already overburdened healthcare workers. But what if clinicians didn't need hours to analyze imagery? What if machine learning could take a preliminary look for them? "Machine learning is basically a way to use computer algorithms to solve specific types of problems, and in particular, the type of problem where we have lots of examples of what to do," explains Benjamin Mitchell, PhD, an assistant professor of computing science at Villanova University. He likens it to showing algebra students practice problems with provided answers, then assigning them questions to solve themselves.


Data Engineer, Mid

#artificialintelligence

Work on cutting edge projects from genomic research to counter threats. Perform activities that include data architecture, building data and analytic platforms, building out extract, transform, and load (ETL) pipelines and data access services, and ensuring data is discoverability and of good quality. Work with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in an agile fast-paced environment that is pushing the envelope of cutting edge Big Data implementations. Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. We're an EOE that empowers our people--no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic--to fearlessly drive change.


AWS' CodeGuru uses machine learning to automate code reviews – TechCrunch

#artificialintelligence

AWS today announced CodeGuru, a new machine learning-based service that automates code reviews based on the data the company has gathered from doing code reviews internally. Developers write the code and simply add CodeGuru to the pull requests. It supports GitHub and CodeCommit, for the time being. CodeGuru uses its knowledge of reviews from Amazon and about 10,000 open-source projects to find issues, then comments on the pull request as needed. It will obviously identify the issues, but it also will suggest remediations and offer links to the relevant documentation.


John Pearce on LinkedIn: Neural Networks Application for Small-Scale Tasks

#artificialintelligence

Learn how to use multilayer #NeuralNetworks to generate additional features in the context of small dimensional data when the number of basic features varies from one to two dozen. Learn how to use multilayer #NeuralNetworks to generate additional features in the context of small dimensional data when the number of basic features varies from one to two dozen.


Neural Networks Application for Small-Scale Tasks

#artificialintelligence

Auriga's web-site uses cookies to optimise site functionality and give you the best possible experience. By continuing to browse the site you are agreeing to our use of cookies. However, if you would like to, you can change your cookie settings at any time.


IoT Evolution Keynoter Schneider Electric Launches Integrated Rack with Immersed, Liquid-Cooled IT

#artificialintelligence

IoT Evolution Keynoter, Schneider Electric, with Avnet and Iceotope, announce the creation of the industry's first commercially-available integrated rack with chassis-based, immersive liquid cooling. Optimized for compute-intensive applications, the solution combines a high-powered GPU server with Iceotope's liquid cooling technology to increase energy efficiency. The system is EcoStruxure Ready since the solution is available with next-generation data center management software, EcoStruxure IT Expert and digital service EcoStruxure Asset Advisor. This solution is ideal for applications such as big data analytics, artificial intelligence, and machine-learning algorithm training development, where high compute demands more energy use. In a recent report published by Gartner, liquid cooling was identified as a technology to watch.


MemSQL 7.0: An all-in-one database for operational analytics and AI/ML-powered apps - Help Net Security

#artificialintelligence

MemSQL, the No-Limits DatabaseTM for operational analytics and cloud-native applications, announced the general availability of MemSQL 7.0, the most powerful version yet of the company's all-in-one database for operational analytics and AI/ML-powered applications. Available as a managed service in the cloud via MemSQL Helios or self-deployed in cloud, containers or on-premise, MemSQL 7.0 delivers several new advances in database architecture, including "SingleStore," a breakthrough new way of managing data; enhanced system of record and resilience features that make MemSQL an even more trusted platform for Tier 1, mission-critical workloads; and time-series data management enhancements. The addition of SingleStore functionality differentiates MemSQL from other operational data platforms because of its innovative and unique data architecture that seeks to eliminate data duplication, reduce complexity and cut total cost of ownership. By bringing rowstore and columnstore tables together in a single database, SingleStore eliminates ETL and allows SQL queries to combine data from both types of tables. SingleStore offers the fastest possible performance, at the lowest possible cost, for transactional, analytical and hybrid workloads.


Intel previews AI advances in software testing, sequence models, and explainability

#artificialintelligence

This week marks the kickoff of Neural Information Processing Systems (NeurIPS), one of the largest AI and machine learning conferences globally. NeurIPS 2017 and NeuIPS 2018 received 3,240 and 4,854 research paper submissions, respectively, and this year's event -- which takes place from December 8 to December 14 in Vancouver -- is on track to handily break those records. Researchers from Intel will be in attendance, as will those from tech giants like Google, Facebook, Apple, Uber, Alibaba, Baidu, and countless others. For its part, the Santa Clara, California-based chipmaker said it intends to host three dozen conference, workshop, and spotlight sessions covering topics like deep equilibrium models, imitation learning, machine programming, and more. "Intel is making significant strides in advancing and scaling neural network technologies to handle increasingly complex and dynamic workloads -- from tackling challenges with memory to researching new adaptive learning techniques," wrote Dr. Rich Uhlig, senior fellow and managing director of Intel Labs, in a blog post.


How Should We Teach Gen Z about AI?

#artificialintelligence

Blakeley H. Payne from MIT Media Lab shares her experience building a course on AI for middle-schoolers and surprising learnings along the way. For our September AI Ethics Twitter Chat, we invited Blakeley H. Payne (@BlakeleyHPayne), Researcher at MIT Media Lab to get her insights on "How should we teach Gen Z about AI?" and learn about the great course on AI she has built for middle schoolers. Let's start off with your insights on what's different or unique about Gen Z and their attitude towards tech compared to other generations? Blakeley H. Payne: A term my advisor likes to use is "AI natives." Children of this era have grown up with AI-mediated technologies since birth.