Welcome to our weekly selection of digital innovation news. Based on our opinionated always changing automated token based selection algorithm we present some top innovation news to get you thinking, debating and collaboration on making our world better.
1 World’s Top Graphics Software Companies Are Already Adopting NVIDIA RTX Capabilities.
The leading software providers representing many of the most important applications for designing the products we use, the cars we drive, the movies we watch and even for scientists to visualize the world around us are jumping on Turing, NVIDIA’s newly launched GPU architecture.
2 How AI Can Amplify Human Competencies
There’s a sense that AI is a magical technology that’s going to transform industries and replace humans, putting people out of work. MIT Sloan Management Review correspondent Frieda Klotz spoke with Goldberg about a future in which AI is a complement, not a threat, to workers. We’re going to need human truck drivers for the foreseeable future — for the rest of my lifetime and my kids’ lifetimes. To an extent, he says, this is how AI is already starting to function. What robots are great at are jobs that no one else wants to do — the dirty, dull, and dangerous jobs.
3 Design tool reveals a product’s many possible performance tradeoffs
In their paper, the researchers tested their tool on various products, including a wrench, bike frame component, and brake hub, each with three or four design parameters, as well as a standing lamp with 21 design parameters. Some designs change quite dramatically around the same region of performance tradeoffs and even within the same cluster. However, a user still had to explore all designs to find one that satisfied all performance tradeoffs, which was time-consuming. But these programs require users to modify designs and simulate the results for only one performance objective at a time. That tool let users interactively modify product designs and get real-time information on performance.
4 eBay Provides OpenAPI Specification (OAS) for All its RESTful Public APIs
With OpenAPI, developers can download an eBay OpenAPI contract, generate code and successfully call an eBay API in minutes. Today, eBay announced that they are leveraging the OpenAPI Specification (OAS) for all of its RESTful public APIs. Since APIs are the “glue” between distributed components, the OAS standard plays a central part in this transition. Learn more about this conference here, and keep up-to-date with news coming out of the OpenAPI Initiative here.
5 ‘Functional Fingerprint’ May Identify Brains Over a Lifetime
Identifying, tracking and modeling the functional connectome could expose how brain signatures lead to variations in behavior and, in some cases, confer a higher risk of developing certain neuropsychiatric conditions. They can sift through MRI data to find differences between individuals, even when researchers don’t know what features might be relevant. They were intrigued to note that many of the same genes that affected brain age were also involved in common brain disorders, perhaps indicating similar biological pathways. Biomarkers like methylation age had been previously used to predict mortality, and Cole suspected brain age could be used to do so as well. The difference, according to Kaufmann, is that Cole’s deep learning method reduces the need for tedious, time-consuming preprocessing of MRI data.
6 More efficient security for cloud-based machine learning
This approach holds promise for using cloud-based neural networks for medical-image analysis and other applications that use sensitive data. Major tech firms have launched cloud platforms that conduct computation-heavy tasks, such as, say, running data through a convolutional neural network (CNN) for image classification. A novel encryption method devised by MIT researchers secures data used in online neural networks, without dramatically slowing their runtimes. In their system, a user will upload ciphertext to a cloud-based CNN. The user must have garbled circuits technique running on their own computer. Recent approaches to securing CNNs have involved applying homomorphic encryption or garbled circuits to process data throughout an entire network.
7 AI Think I Can: Why GPUs Could Be the Engine Leading Us to Autonomous Trains
Boosted by machine learning, image recognition and NVIDIA GPUs, trains are on track to lead the way in autonomous transportation…
8 Universal Method to Sort Complex Information Found
Through a process called “embedding,” they’d overlay a distance metric for which they didn’t have a good algorithm on a distance metric for which they did. In the summer of 2016, Andoni, Nikolov, Razenshteyn and Waingarten knew that good nearest neighbor algorithms were impossible for expander graphs. Therefore, a good nearest neighbor algorithm must also be possible — even if computer scientists hadn’t been able to find it yet. Instead, they asked a broader question: What prevents a good nearest neighbor algorithm from existing for a distance metric? And unlike the coffee shop example, nearest neighbor questions are often very hard to answer.
The Radical Open Innovation weekly overview is a brief overview of innovation news on Digital Innovation and Management Innovation from all over the world. Your input for our next edition is welcome! Send it to [info] at [bm-support]dot[org]