- A powerful visual tool like IBM SPSS Modeler is actually a great way to learn about data science and machine learning.
- IBM is supporting this goal by providing IBM SPSS Modeler for free for educational usage.
- This distribution is part of the IBM Academic Initiative program which provides many types of IBM software and cloud services for free or reduced cost.
- If you are a student or professor, please go to ibm.onthehub.com and search for IBM SPSS Modeler.
- If you are not a student or professor but know of some students/professors looking for free data science software, let them know about IBM SPSS Modeler.
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- Last week we announced the release of PlaidML, an open source software framework designed to enable deep learning on every device.
- We received immediate requests for Mac and Python 3, today we’re pleased to announce preliminary support for both.
- Installing PlaidML with Keras on a Mac is as simple as , but we’ve added something extra: – – We’ve updated plaidvision with support for macOS and Mac built-in webcams.
- The actual installation only takes a moment: – – PlaidML on Mac is a preview and we are very interested in hearing about user experiences.
- We’d especially like to thank GitHub user Juanlu001, our first open source contributor, for taking the lead on Python 3 support.
Last week we announced the release of PlaidML, an open source software framework designed to enable deep learning on every device. Our goal with PlaidML is to make deep learning accessible by supporting the most popular hardware and software already in the hands of developers, researchers, and students. Last week’s release supported Python 2.7 on Linux. We received immediate requests for Mac and Python 3, today we’re pleased to announce preliminary support for both.
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- [Concept]While virtual and mixed reality experiences are trending right now (we’ve seen a lot of cool examples in movies), I feel that there’s a lack in convergence of practical interaction patterns.
- We haven’t seen the iPhone of mixed reality yet, so I decided to explore the user experience and interface aesthetics of mixed reality and share my ideas with the community.
- My goal is to encourage other designers to think and publish ideas on MR interfaces.As technology becomes invisible at all such levels, from a perceptual and cognitive point of view, interaction becomes completely natural and spontaneous.
- And one of the attributes of good interaction design is allowing Natural User Interfaces: those which are invisible to the user, and remain invisible as we learn them.
- Some examples of these interfaces are speech recognition, direct manipulation, and gestures.Apps as ObjectsI started by looking into an interaction that felt very natural: browsing records.I found this interaction interesting because of the following:Direct manipulation of the catalogPerception of progress while browsingFull visual of selected itemMinimal footprint of scrolled itemsI was thinking of a way to apply these principles to an interaction for browsing and launching apps in a mixed reality environment.In this case, the app cards are arranged in a stack and placed below the user’s point of view, at a comfortable reach distance.
While virtual and mixed reality experiences are trending right now (we’ve seen a lot of cool examples in movies), I feel that there’s a lack in convergence of practical interaction patterns. We haven…
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- Sharing our vision of the future, including advances in research and innovation.
- Our goal is to make our innovations accessible to as many people as possible.
- When technology starts with people and serves people, it makes progress.
- We also want to promote innovative and responsible uses of digital technologies – prudent innovation – that improve everyday life for everyone.
- Innovation and periods of rapid change have always raised questions.
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Researchers have successfully given AI a curiosity implant, which motivated it to explore a virtual environment.
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- Our goal is to ensure that the most promising researchers in the world have access to enough compute power to imagine, implement, and publish the next wave of ML breakthroughs.
- We’re setting up a program to accept applications for access to the TensorFlow Research Cloud and will evaluate applications on a rolling basis.
- The program will be highly selective since demand for ML compute is overwhelming, but we specifically encourage individuals with a wide range of backgrounds, affiliations, and interests to apply.
- The program will start small and scale up.
Researchers need enormous computational resources to train the machine learning models that have delivered
recent advances in medical imaging, speech recognition, game playing, and many other domains. The TensorFlow
Research Cloud is a cluster of 1,000 Cloud TPUs that provides the machine learning research community with
a total of 180 petaflops of raw compute power — at no charge — to support the next wave of breakthroughs.
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- Deep inside Bridgewater Associates LP, the world’s largest hedge-fund firm, software engineers are at work on a secret project that founder Ray Dalio has sometimes called “The Book of the Future.”
- The goal is technology that would automate most of the firm’s management.
- It would represent a culmination of Mr. Dalio’s life work to build Bridgewater into an altar to radical openness—and a place that can endure without him.
Bridgewater wants day-to-day management—hiring, firing, decision-making—to be run by software that doles out instructions
Continue reading “The World’s Largest Hedge Fund Is Building an Algorithmic Model From its Employees’ Brains”