Topic: deep learning

NVIDIA announces new artificial intelligence research and SDK for content creators

NVIDIA is bringing artificial intelligence to graphics and computing with new SDKs, computer products, and AI research. The company unveiled its plan to bring AI to 25 million content creators at the SIGGRAPH 2017 conference today. According to Greg Estes, vice president of developer marketing at NVIDIA, it has been several years since NVIDIA first … continue reading

NVIDIA Tesla V100, Microsoft’s HoloLens, and Movidius Neural Computer Stick — SD Times news digest: July 24, 2017

NVIDIA gave artificial intelligence researchers a big surprise over the weekend when it chose to unveil the NVIDIA Tesla V100 at the computer vision event, CVPR, in Honolulu. Jensen Huang, CEO of NVIDIA, presented the new solution to 15 attending research institutions in the hopes they will create great AI solutions. The NVIDIA Tesla V100 … continue reading

SD Times GitHub Project of the Week: CatBoost

The artificial intelligence community is getting a new machine learning library to boost their research efforts. Yandex announced the open source of CatBoost this week. Despite its name, CatBoost has nothing to do with cats. Instead, it has to do with gradient boosting. “Gradient boosting is a machine learning algorithm that is widely applied to … continue reading

New algorithm uses deep learning to diagnose heart arrhythmias

Stanford computer scientists believe they have developed an algorithm that can diagnose heart arrhythmias with cardiologist-level accuracy. The new deep learning algorithm sifts through hours of data to find irregular heartbeats. Typically, arrhythmias are detected with an electrocardiogram, but doctors often prescribe a wearable ECG to continuously monitor a patient’s heartbeat. This wearable device results … continue reading

Guest View: Machine learning analytics takes its place in IT

Today, we’re seeing more and more businesses transitioning their business critical applications that demand consistent high performance to virtual environments. This trend has created a new set of hurdles for IT teams. The shared resources and intrinsic complexity of virtual environments make finding and fixing performance issues much more difficult than in traditional environments. However, … continue reading

GitHub Open Source Friday, TypeScript 2.4 and Datameer’s SmartAI — SD Times news digest: June 28, 2017

GitHub wants to get more people involved in the open-source community. The company has announced Open Source Friday, a new initiative designed to make it easier for individuals and organizations to contribute to open source. With Open Source Friday, GitHub wants teams, departments and companies to spend a few hours every Friday working on their … continue reading

Zebra to open source iFactr, Bonsai’s TensorFlow support, and Datical’s DMC — SD Times news digest: June 27, 2017

Zebra Technologies is bringing its cross-platform mobile application environment to the open-source community. The company announced iFactr, the platform for OS migration in the enterprise, will be open sourced, and it will allow organizations to transition to modern mobile operating systems more easily. According to the company, iFactr allows enterprises to invest resources in developing … continue reading

software, tensorflow

Tensor2Tensor, XebiaLabs DevOps Platform, and Syncsort’s DMX CDC — SD Times news digest: June 20, 2017

Google is making it easier to experiment with deep learning technologies with the release of Tensor2Tensor (T2T). T2T is an open source system for training deep learning mobiles with TensorFlow, Google’s software library for machine intelligence. With T2T, users can create models for apps like translation, parsing, image captioning and more. T2T includes a library … continue reading

Databricks Serverless

Spark Summit: Databricks advances its deep learning and Apache Spark solutions

Databricks announced new plans to make working with deep learning and analytics easier for the Apache Spark community at this week’s Spark Summit in San Francisco. The company unveiled a new serverless platform, a new Apache Spark library for deep learning, and the availability of its stream processing solution. Databricks Serverless is a fully managed … continue reading

Cloudera Atlus

Cloudera introduces Altus, MapR’s new Quick Start Solution, and Realm Functions — SD Times news digest: May 24, 2017

Cloudera is launching a new Platform-as-a-Service (PaaS) offering to simplify Big Data workloads in the cloud. Altus is designed for large-scale data processing applications on the public cloud. It features managed services for elastic data pipelines, workload orientation, the Altus Data Engineering service, backward compatibility and platform portability, and built-in workload management. In addition, the initial … continue reading

NVIDIA to drive artificial intelligence with new Volta architecture

NVIDIA is bringing more power to deep learning with its latest advancements in artificial intelligence and high-performance computing. At this week’s GPU Technology Conference in Silicon Valley, NVIDIA announced its new Volta architecture, the NVIDIA Tesla V100 data center GPU, as well as several other next-generation AI and computing solutions. Volta, which is designed to bring great … continue reading

NVIDIA to train 100,000 developers on deep learning

NVIDIA is on a mission to close the expertise gap in the field of artificial intelligence. At the GPU Technology Conference this week in Silicon Valley, the company announced plans to increase the amount of AI developers by the tenfold this year. Through the NVIDIA Deep Learning Institute, the company plans to train 100,000 developers, … continue reading

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