Impact of Visual AI on test automation
Tuesday, April 7, 2020 by Freeman Lightner
Applitools, the provider of Visual AI-powered test automation, has announced an industry report that reveals the impact of Visual AI on the performance of the most popular open-source test frameworks - Cypress, Selenium, and WebdriverIO. Data was sourced from 288 quality engineers across 101 countries, spending an average of 11 hours during November 2019. This amounts t...
Making hardware easy for software developers
Monday, February 17, 2020 by Richard Harris
Emerging developments in everything from 5G and autonomous cars to the latest in scientific research are requiring hardware that can reliably, rapidly and efficiently perform unique tasks and can be adapted to meet changing standards and specifications.
In this article, Ramine Roane, vice president of AI and software at Xilinx, discusses how new and existing adaptabl...
Testing solution to make AI more human launches from Applause
Monday, January 13, 2020 by Brittany Hainzinger
Artificial intelligence (AI) is quickly reaching the mainstream. Once the stuff of science fiction, AI is now used to automate many mundane tasks to make our lives easier. And from a business perspective, AI helps brands personalize digital experiences, save money, and improve customer satisfaction and loyalty.
While the excitement around AI is substantial, one area ...
NVIDIA's AI platform sets new record
Thursday, August 15, 2019 by Richard Harris
NVIDIA has breakthroughs in language understanding that allow businesses to engage more naturally with customers using real-time conversational AI.
NVIDIA's AI platform is the first to train one of the most advanced AI language models BERT, in less than an hour and complete AI inference in just over 2 milliseconds. This groundbreaking level of performance ma...
NVIDIA's new TITAN RTX is a deep learning beast aimed at developers
Wednesday, December 5, 2018 by Richard Harris
NVIDIA has just announced the TITAN RTX - dubbed T-Rex, driven by NVIDIA Turing architecture at a conference in Montreal. The new card delivers 130 teraflops of deep learning performance and 11 GigaRays of ray-tracing performance. Jensen Huang, founder and CEO of NVIDIA says, "Turing is NVIDIA’s biggest advance in a decade, fusing shaders, ray tracing, a...
The speed of Artificial Intelligence learning just got faster
Monday, November 12, 2018 by Richard Harris
Researchers at Hong Kong Baptist University (HKBU) have partnered with a team from Tencent Machine Learning to create a new technique for training Artificial Intelligence (AI) machines faster than ever before, while maintaining accuracy - and in doing so, broke the world record.
During the experiment the team succeeded in training two popular deep neural networks cal...
Machine learning, crowdsourced data, and the birth of Gengo.ai
Wednesday, October 31, 2018 by Richard Harris
The glue that holds machine learning and artificial intelligence together is data. Without the data to create complex learning algorithms from, and to create those life-like AI experiences - neither of them are worth a brass farthing.
Charly Walther, the VP of product and growth at Gengo.ai, joined Gengo from Uber, where he was a product manager in Uber’s Advan...
AI computing and HPC just got better with the HGX2 cloud server
Thursday, May 31, 2018 by Richard Harris
NVIDIA has introduced HGX-2, a unified computing platform for both artificial intelligence and high-performance computing in the cloud. The HGX-2 cloud server platform helps provides unique flexibility to support the future of computing. It allows calculations using FP64 and FP32 for scientific computing and simulations, while also enabling FP16 and Int8 for AI training...
NVIDIA teaching developers about the power of AI
Friday, November 3, 2017 by Richard Harris
NVIDIA has announced a broad expansion of its Deep Learning Institute (DLI), which is training tens of thousands of students, developers and data scientists with critical skills needed to apply artificial intelligence. “The world faces an acute shortage of data scientists and developers who are proficient in deep learning, and we’re focused on addressing that need,” sai...
NVIDIA releases GPU accelerator to improve AI
Friday, March 10, 2017 by Richard Harris
As innovation progresses, more and more processing is being offloaded to the cloud to do the heavy lifting. But how much cloud usage is too much for cloud providers to handle efficiently? That is the answer that many companies hope never to have to answer as they ramp up their cloud usage exponentially. That’s where NVIDIA and Microsoft look to make big changes in the w...