Adyen has turned its payment processing business into one of Europe’s biggest entrepreneurial success stories. Now it’s quietly deploying artificial intelligence to keep its remarkable growth streak going.
The Amsterdam-based company’s philosophy of building tools from within rather than through acquisitions has been crucial to its rise, from its founding in 2006 to its 2018 IPO. Its…
We often think of artificial intelligence as a tool for automating certain tasks. But it turns out that the technology could also help give us a better understanding of ourselves. At least that’s what a team of researchers at the Massachusetts Institute of Technology…
Researchers develop AI that reads lips from video footage
December 4, 2019
AI and machine learning algorithms capable of reading lips from videos aren’t anything out of the ordinary, in truth. Back in 2016, researchers from Google and the University of Oxford detailed a system that could annotate video footage with 46.8% accuracy, outperforming a…
Augtera raises $4 million for AI-driven network management
December 4, 2019
Augtera today announced that it raised $4 million for its operation that takes data from datacenter networks to create AI systems for management and optimization. The money will be used to grow Augtera’s engineering and research and development teams and accelerate product adoption.
Augtera uses network domain knowledge and semantics, together with data from a variety of sources, to train its…
OpenAI’s Procgen Benchmark prevents AI model overfitting
December 3, 2019
Where the training of machine learning models is concerned, there’s always a risk of overfitting — or corresponding too closely — to a particular set of data. In point of fact, it’s not infeasible that popular machine learning benchmarks like the Arcade Learning…
Qualcomm generally uses its annual Snapdragon Tech Summit in Maui to unveil next-generation mobile processors and related technologies, which it accomplished with major new Snapdragon 865/765 and 3D Sonic Max dual-fingerprint scanner reveals today. But the bigger theme of…
Analyzing chest X-ray images with machine learning algorithms is easier said than done. That’s because typically, the clinical labels required to train those algorithms are obtained with rule-based natural language processing or human annotation, both of which tend to introduce inconsistencies and errors. Additionally, it’s challenging to assemble data sets that represent an adequately diverse…
There’s strong evidence that humans rely on coordinate frames, or reference lines and curves, to suss out the position of points in space. That’s unlike widely-used computer vision algorithms, which differentiate among objects by numerical representations of their…
Microsoft's Seeing AI app helps the blind in five more languages
December 3, 2019
Microsoft’s Seeing AI has been helpful for describing objects and text to the blind, but there’s been a key problem: it has only been available in English, making it a non-starter if you don’t speak the language. That won’t be a problem for some…
Amazon debuts AWS Inf1, an AI inference instance
December 3, 2019
Amazon Web Services today debuted Inf1, an instance that powers AI inference in the cloud that CEO Andy Jassy calls the lowest cost inference offering available in the cloud.
“…it will have lower latency, it will have 3 times higher throughput, and up to 40% lower cost per instance compared to our G4 instance which is based on an Nvidia chip which previously was the lowest cost inference…