Kimera Systems announced the birth of Nigel™ – the world’s first commercial human-like intelligence technology for connected devices. Nigel was delivered at a birthday party held last Friday in downtown Portland by its creator, Kimera co-founder and CEO Mounir Shita.
In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. “machine learning and other data-intensive HPC workloads cannot scale unless the storage filesystem can scale to meet the increased demands for data.”
Envestnet | Yodlee, a leading data aggregation and data analytics platform powering dynamic, cloud-based innovation for digital financial services, announced the newest advancement to the Envestnet | Yodlee Financial Data Platform, Transaction Data Enrichment.
Fujitsu Laboratories Ltd. announced the development of software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software parallelization technology.
Argyle Data, a leader in big data/machine learning analytics for mobile providers, has highlighted the role of supervised and unsupervised machine learning in detecting and preventing anomalous mobile traffic.
Nimbix, a leading HPC cloud platform provider, announced a significant increase in their presence in the machine learning market space as more customers are using their JARVICE platform to help address the need for an easier, more cost efficient way of working with machine learning.
In the presentation below, Weide Zhang is a Senior Architect at Baidu, talks about his team’s work in using Spark to drive deep learning training and prediction using Paddle, the deep learning library developed by Baidu IDL.
In this special guest feature, Pablo Stern, CTO at Radius, shares some tips for new computer science graduates entering the workforce, including why they should consider working in the data science field.
The presentation below by Eric Levine, Engineering Manager at Airbnb shows how Airbnb’s Trust and Safety team has built machine learning infrastructure from the ground up to catch and defuse fraudsters on the platform.
From the recent Spark Summit 2016 in San Francisco, the video presentation below by Joseph K. Bradley of Databricks give focus to “Apache Spark MLlib 2.0 Preview: Data Science and Production.”