13%
12.07.2017
North Neurosynaptic system.” The result of the collaboration will be an “end-to-end software ecosystem designed to enable deep neural-network learning and information discovery.” IBM reports that the system
13%
24.08.2017
computations on the GPU, along with the ability to do full backpropogation.” The library lets you train a convolution neural network to recognize photos and handwritten digits “all in the browser without writing
13%
06.11.2017
in complete compromise of Oracle Identity Manager via an unauthenticated network attack. The Patch Availability Document referenced below provides a full workaround for this vulnerability and will be updated
13%
27.03.2019
.
“The goal of the attack was to surgically target an unknown pool of users, which were identified by their network adapters’ MAC addresses,” wrote Kaspersky in a blog post. The company further explained
13%
12.06.2019
The US Department of Energy has announced a new program to encourage collaboration in fusion energy research. The Innovative Network for Fusion Energy (INFUSE) focuses on “...accelerating fusion
13%
17.09.2020
Hyper-V is a widely-used virtualization tool, created by Microsoft, that allows you to create virtual drives, network switches, and run guest operating systems on the Windows platform. At the moment
13%
16.09.2020
system, which was released this month to IBM Q network members, to a series of progressively larger systems that will appear in 2021, 2022, and 2023.
The goal is for the 1,121 qubit Condor system, which
13%
26.01.2022
, the exhibition, and selected evening events.” Volunteers will have the chance to meet and network with HPC researchers and scientists from around the world.
Applications are open to students pursuing a bachelor
13%
28.04.2022
access to targeted systems in order to gain any leverage via the vulnerabilities.
Both vulnerabilities have been patched by the network-dispatcher maintainer, Clayton Craft. All Linux admins
13%
09.05.2022
that involve applications in the areas of data science, such as big data and data-intensive computing, and machine learning like deep learning, neural networks and reduced models for scientific data
