A new solution for the textile industry use blockchain allows users to track the entire spectrum of fabric manufacturing.
IBM Research has partnered with Red Hat to bring iter8 into Kiali. Iter8 lets developers automate the progressive rollout of new microservice versions. From Kiali, developers can launch these rollouts interactively, watch their progress while iter8 shifts user traffic to the best microservice version, gain real-time insights into how competing versions (two or more) perform, and uncover trends on service metrics across versions.
New IBM, Fujifilm prototype breaks world record, delivers record 27X more areal density than today’s tape drives
Today, we are announcing a challenge for the computer vision community to develop robust models for object recognition, demonstrating accurate predictions on ObjectNet images.
The competition, called NLC2CMD for ‘Natural Language to Command,’ ran as part of the NeurIPS 2020 program until December – and this Saturday, we’ll finally see what the winners have come up with.
Deep learning may have revolutionized AI – boosting progress in computer vision and natural language processing and impacting nearly every industry. But even deep learning isn’t immune to hacking.
IBM researchers have created an AI-powered software to help doctors develop personalized treatments for different patients with the exact same diagnosis.
Enter microcontrollers of the future – the simplest, very small computers. They run on batteries for months or years and control the functions of the systems embedded in our home appliances and other electronics.
Our latest breakthrough in AI training, detailed in a paper presented at this year’s NeurIPS conference, is expected to dramatically cut AI training time and cost. So considerably in fact that it could help completely erase the blurry border between cloud and edge — offering a key technological upgrade for hybrid cloud infrastructures.
We're excited to announce the IBM Quantum Awards: Open Science Prize, an award totaling $100,000 for any person or team who can devise an open source solution to two important challenges at the forefront of quantum computing based on superconducting qubits: reducing gate errors, and measuring graph state fidelity.
Unfortunately, there are no default scheduler plugins in Kubernetes to consider the actual load in clusters for scheduling. To achieve that goal, we developed a way to optimize resource allocation through load-aware scheduling and submitted our "Trimaran: Real Load Aware Scheduling" Kubernetes enhancement proposal, with the hope of soon merging this feature into the Kubernetes scheduler plugin.