We’re delighted about the recent unveiling of IBM and Adobe’s dynamic partnership to help brands accelerate their content supply chains using generative AI. Our longstanding partnership with Adobe allows us to offer an unparalleled range of services to meet the evolving needs of the marketing and creative community. So, what does this partnership mean in …
A crack NVIDIA team of five machine learning experts spread across four continents won all three tasks in a hotly contested, prestigious competition to build state-of-the-art recommendation systems. The results reflect the group’s savvy applying the NVIDIA AI platform to real-world challenges for these engines of the digital economy. Recommenders serve up trillions of search …
Read more “Score! Team NVIDIA Takes Trophy in Recommendation Systems”
VentureBeat’s fifth annual Women in AI awards recognize and honor the women leaders and changemakers in the field of AI.Read More
WIRED reviewers have scoured the web for the best Amazon Prime Day deals on gear we’ve tested and love from Dyson, Apple, and more.
Over the past several years, researchers have been developing soft analogues of traditionally rigid robotic components. In fluid-driven robotic systems, pumps control the pressure or flow of the liquid that powers the robot’s movement. Most pumps available today for soft robotics are either too large and rigid to fit onboard, not powerful enough for actuation …
The AI industry has gone through rapid changes. Today we share some difficult news.
Posted by Amir Yazdanbakhsh, Research Scientist, and Vijay Janapa Reddi, Visiting Researcher, Google Research Computer Architecture research has a long history of developing simulators and tools to evaluate and shape the design of computer systems. For example, the SimpleScalar simulator was introduced in the late 1990s and allowed researchers to explore various microarchitectural ideas. Computer …
Read more “An open-source gymnasium for machine learning assisted computer architecture design”
As more and more customers are looking to put machine learning (ML) workloads in production, there is a large push in organizations to shorten the development lifecycle of ML code. Many organizations prefer writing their ML code in a production-ready style in the form of Python methods and classes as opposed to an exploratory style …
Read more “Access private repos using the @remote decorator for Amazon SageMaker training workloads”
By deploying AI technology across its financial operations, Collective aims to expedite its growth and onboard businesses on its waitlist.Read More
Relax and get some shut-eye with these discounts on beds, bedsheets, and weighted blankets at Amazon and beyond.