AI Responsibility Lab's Mission Control provides a framework for teams to create standardized processes for ML and AI operations.
As robots increasingly join people on the factory floor, in warehouses and elsewhere on the job, dividing up who will do which tasks grows in complexity and importance. People are better suited for some tasks, robots for others. And in some cases, it is advantageous to spend time teaching a robot to do a task now and reap the benefits later.
Researchers at Meta's Artificial Intelligence Research Lab (Facebook) in the U.S. and at the University of Twente's Neuromechanical Modelling and Engineering Lab in the Netherlands (led by Prof.dr.ir Massimo Sartori), have co-developed the open-source framework MyoSuite, which combines advanced musculoskeletal models with advanced artificial intelligence (AI).
At Computex, Nvidia announced hardware milestones and new innovations toward its roadmap for more powerful AI-enabled data centers.
Technology businesses are already making computers with human matter.
Innovations like cloud computing and artificial intelligence are hailed as engines of a coming productivity revival. But a broad payoff across the economy has been elusive.
Microsoft is previewing a bunch of new capabilities for Teams and Power Platform developers, including a new capability to scan images and create custom Power Apps controls directly from them.
Microsoft and Qualcomm are working together on a new Windows-on-Arm-powered dev kiit and AI-infused apps are one of the main targets.
Microsoft made several AI announcements at its annual Build conference today, all around the need for AI models to become easier, simpler and most of all, more responsible.
Using computing resources at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), researchers at Argonne National Laboratory have succeeded in exploring important materials science questions and demonstrated progress using machine learning to solve difficult search problems.
It's a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are. Everything else—how many people may be in danger from a weather event, who might be impacted by a resource scarcity, and how to efficiently deploy limited resources in response to a crisis—stems from the initial, basic knowledge of population locations.
For the first time TU Graz's Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less energy while running on neuromorphic hardware than non-neuromorphic hardware.
Zowie, which claims to be the only AI-powered chatbot technology specifically built for ecommerce companies that use customer support to drive sales has secured $14 million in series A funding.
Instead of building big machines for researchers with big data sets, Vultr slices up GPUs into smaller parts for devs with smaller projects.
Plus is taking an innovative driver-in approach that aligns with the critical challenges facing the trucking industry today.
How tech (and a tight hiring market) are eliminating surveillance in commercial trucking.
A database loaded with the sounds of heartbeats could help early detection of valve disease.
Softiron, which makes data center hardware for software-defined storage, turned to digital twins to help optimize its hardware, not just for cost and performance, but also to dramatically reduce its carbon footprint.