Artificial intelligence will soon be used to help treat cancer. NVIDIA has announced a new collaboration with the National Cancer Institute, the U.S. Department of Energy and a number of other national laboratories on developing AI software for cancer research.The new collaboration is part of the president’s Cancer Moonshot initiative, which aims to provide new cancer prevention, diagnosis and treatment solutions. The collaborators will focus on developing an AI framework called CANDLE, or Cancer Distributed Learning Environment. CANDLE will bring deep learning to cancer research through supervised learning, semi-supervised learning and unsupervised learning, according to Abdul Al Halabi, business development manager for healthcare at NVIDIA.(Related: Microsoft teams up with OpenAI on artificial intelligence)Supervised learning will help researchers understand how patients respond to drugs; semi-supervised learning will help come up with treatment strategies; and unsupervised learning will help accelerate the understanding of RAS/RAP pathways, Al Halabi explained. “AI will be essential to achieve the objectives of the Cancer Moonshot,” said Rick Stevens, associate laboratory director for computing, environment and life sciences at Argonne National Laboratory. “New computing architectures have accelerated the training of neural networks by 50x in just three years, and we expect more dramatic gains ahead.”According to Al Halabi, by using deep learning, the researchers will be able to generate new information as well as better utilize existing information. In addition, it will help researchers sift through massive amounts of data and uncover subtle patterns and relationships. That information will help researchers determine the best treatment for a particular person.The artificial intelligence framework will also be used to discover new variables and experiments in order for researchers to learn more about how the body hosts and propagates cancer.“Today cancer surveillance relies on manual analysis of clinical reports to extract important biomarkers of cancer progression and outcomes,” said Georgia Tourassi, director of the Health Data Sciences Institute at Oak Ridge National Laboratory. “By applying high-performance computing and AI on scalable solutions like NVIDIA’s DGX-1, we can automate and more readily extract important clinical information, greatly improving our population cancer health understanding.”
InVision has released Inspect for Photoshop, which will let teams easily sync their work to InVision and generate working code with a single click inside Photoshop.Inspect allows development teams to get information faster, and they can work seamlessly with Craft Sync for Photoshop. Work can be synced from Photoshop to InVision using a single click, and then development and design teams can use Inspect to generate code, gather specs, and more.Developers and designers can find more information here.JetBrains announces new Go IDEJetBrains has announced Gogland, a new Go IDE that is available in a private early access program.Gogland joins the IntelliJ family, and it aims to help developers working with the Go language and Go tools. Gogland is still under development, and since Gogland is just a temporary name, developers can send the Gogland IDE team name ideas and suggestions here. Red Hat releases Red Hat OpenStack Platform 10Red Hat OpenStack Platform 10 is available today, and it’s based on the OpenStack “Newton” release, which has new features that aim to increase scalability and improve performance and security.New enhancements and updates to this platform include a more streamlined experience driven by a GUI (graphical user interface), improved flexibility, more stability, and a new ready-state hardware certification program based on OpenStack Ironic. Red Hat OpenStack Platform 10 also introduces distributed Continuous Integration to partners like Dell, EMC, NEC and Rackspace.More information on this release can be found here.Firefox Hardware Report gives developers a look into hardware trends, preferencesMozilla has released the findings from its Firefox Hardware Report to help developers with hardware questions they have while developing their apps.The public report includes hardware information used by a sample of the population from Firefox’s desktop release channel. The data was collected through the Firefox Telemetry system, which collects browser and platform information from machines that use Firefox.On the site, developers can look at data points that show what hardware and OSes Firefox web users prefer, as well as what CPU vendors, cores, and speeds are used on the web. Developers can review the full hardware report here and check out the code used to generate the report here.