Ayasdi, a leader in machine intelligence software and a pioneer in enterprise-class intelligent applications, announced the release of Ayasdi Envision, a new framework to accelerate the creation of intelligent applications. Built on Ayasdi’s enterprise-class AI platform, the offering is the first of its kind to enable organizations to quickly create and consume intelligent applications that are purpose-built to solve a broad array of real-world business problems.
Ayasdi Unveils Framework to Simplify and Speed Development of Intelligent Applications across the Enterprise
June 26, 2017 by
AMD Unveils Vega GPU Architecure with HBM Memory
January 5, 2017 by
Today AMD unveiled preliminary details of its forthcoming GPU architecture, Vega. Conceived and executed over 5 years, Vega architecture enables new possibilities in PC gaming, professional design and machine intelligence that traditional GPU architectures have not been able to address effectively. “It is incredible to see GPUs being used to solve gigabyte-scale data problems in gaming to exabyte-scale data problems in machine intelligence. We designed the Vega architecture to build on this ability, with the flexibility to address the extraordinary breadth of problems GPUs will be solving not only today but also five years from now. Our high-bandwidth cache is a pivotal disruption that has the potential to impact the whole GPU market,” said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD.
The Importance of Brain Theory in True Machine Intelligence
November 3, 2016 by
In this contributed article, Christy Maver, Director of Marketing at Numenta discusses how the next wave of AI, built within the constraints of neocortical theory, is poised to bring about true machine intelligence.
