- 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.
Continue reading “Vertex.AI”
- The creators of Unity, the most popular game engine in the world, recently launched a set of machine-learning tools that lay the groundwork for actual AI (not scripted computer opponents) in video games.
- Typically these kits include rendering aids and simple tools for training neural networks, but the beta release sent to developers promises to revolutionize video games, and provides machine-learning researchers with a perfect environment for training robot brains.
- Unity provides developers with the tools to create machine-learning agents capable of learning and interacting with each other in a virtual world, which makes it possible to create games inhabited by AI that actually learns, instead of forcing developers into painstakingly scripting behavior by hand.
- Video game developers have been using the term “artificial intelligence” (AI) since the 1950s to describe a computer opponent designed to challenge humans.
- This use of the term has no relation to machine-learning; the AI in a video game doesn’t learn anything, it simply executes algorithms.
Unity developers recently got an AI upgrade in the form of machine-learning tools that provide game and AI programmers with next generation capabilities.
Continue reading “AI isn’t just learning to play video games, it’s helping us build them”
- Today, the industrial internet of things has already had an impact on how effectively a factory is run and how its equipment runs.
- With a network of devices directly linked in the industrial internet of things, there are a few benefits.
- If there is a jam in machinery, a device connected to the internet of things can halt production around it.
- If there is a global internet outage, how does that impact factory equipment and other items that are attached through the network that is running the industrial internet of things?
- While there are some concerns, that doesn’t mean a company shouldn’t consider the industrial internet of things as a solution.
The Industrial Internet of Things – Bill McCabe. The technology in a factory today is far different from what was there even a decade ago.
Continue reading “The Industrial Internet of Things”
- Like millions of people around the world, you may have received a shiny new device as a holiday gift at the end of last year.
- The world has changed for the better because WE NO LONGER NEED A SEPARATE APP to use our things, the ‘things’ in the Internet of Things (IoT).
- — @Libovness (Source)
Text is still superior to voice, as anyone who has used Google Home or Amazon Echo (yes, I have one, and I love it) and/or tried to use voice while waiting in an airport security line without having other people overhear: 1) your proprietary business information, 2) your squeeze’s silly nickname, or 3) your holiday weight gain, can tell you.
- , increase product usability (no apps to learn, even grandmothers can message, especially when they get to choose their own channel), and focus on what they do best (i.e., I have yet to meet a product engineer who loves managing dozens of communications platforms’ constantly changing Application Processing Interfaces (APIs)).
- Learn more about how UIB is enabling products and software to communicate with people and things, and see the latest smart home, Industry 4.0, and smart city use cases now at unifiedinbox.com and unificationengine.com.
Ken Herron of IoT messaging company Unified Inbox, explores how the IoT means we no longer need a separate app to use our things.
Continue reading “The app is dead. And the IoT killed it. Internet of Things blog”
A quarter of Dubai’s police will be robots by 2030.
Continue reading “RoboCop on the beat”
- You can listen to Recode Decode on Apple Podcasts, Google Play Music, Spotify (mobile only), TuneIn, Stitcher and SoundCloud.
- An entertainment-minded robot may seem more trivial on the surface, but Sofman argued that the success of Cozmo’s integration into the home could have big ripples throughout the tech industry.
- Use these links to subscribe on Apple Podcasts, Google Play Music, Spotify (mobile only), TuneIn, Stitcher and SoundCloud.
- You can hear new episodes every Friday on Apple Podcasts, Google Play Music, Spotify (mobile only), TuneIn, Stitcher and SoundCloud.
- Subscribe today on Apple Podcasts, Google Play Music, Spotify (mobile only), TuneIn and Stitcher.
Anki CEO Boris Sofman talks about making a robot that can compete with pets on the latest Recode Decode.
Continue reading “Why cute robots are important for the entire tech industry”
- As Internet of Things becomes a household term, it is logical and natural that people want to know what it is.
- The Internet of Things can be the best possible feedback on my physical and mental health, the best possible deals based on real time monitoring for resource allocation, the best possible decision making based on real time data and information from open sources and the best possible alignments of my local providers with the global potential of wider communities.
- Internet of Things is in its essence the seamless flow between the
¥ VWAN (very wide area network): the ‘wise’ city as e-gov services everywhere no longer tied to physical locations
Whoever ensures traceability, sustainability and security linking up the gateways is de facto and de jure the new power.
- In short; Internet of Things will define your future everyday.
- Council hosts the Policy and Regulation Track at The 4th IEEE World Forum on The Internet of Things (WF-IoT 2018).
As Internet of Things becomes a household term, it is logical and natural that people want to know what it is. Definitions spring up.
Continue reading “The Internet of Things cannot be defined”
- Less than a year after departing Google as its head of human resources, Laszlo Bock has become an entrepreneur.
- Humu, likely named after the Hawaii state fish Humuhumunukunukuapua’a, could be an extension of Bock’s experience from shaping the culture at one of the largest tech companies in the world, and it may also leverage insights shared in his book Work Rules!
- In a 2015 interview, Bock remarked: “We’ve learned a lot over the years about what makes work more meaningful and productive — we’ve studied this at Google, reviewed the academic research and listened to companies far away from Silicon Valley doing inspiring things on the people front.
- Many services have tried to make work fun, but Humu wants to take a different approach, leveraging machine learning and science.
- How that works exactly remains to be seen, but in a LinkedIn post, Bock wrote about how there should be a way to ensure that employees always have good days at work, and not one where people see it as a job: “We should be constantly learning and growing, and surrounded by people who are doing the same.
Less than a year after departing Google as its head of human resources, Laszlo Bock has become an entrepreneur. On Monday, he announced that he’s working on Humu, a startup designed to help us work better. He’s joined by Wayne Crosby, Google’s director of engineering who recently resigned. While details are sparse, the company plans on using science, machine learning, and “a little bit of love” to improve our jobs.
Continue reading “2 ex-Googlers are starting Humu, a machine learning company that wants to ‘make work better’”
- These are just a few examples of the various Internet of Things (IoT) sensors and other connected devices in Boulder, where electrical, solar and HVAC systems are also tied into IP networks.
- Designing a wireless network to support these applications was a learning process for the city’s IT department, says Benjamin Edelen, a senior system administrator there.
- Aimee Schumm, e-services manager at the Boulder Public Library, notes that staff members made sure to tuck access points in places where they couldn’t be reached easily — such as inside ceiling tiles or on the ceiling itself — so they won’t be tampered with.
- Boulder built out its wireless network with more bandwidth than it needs currently, with the expectation that it will expand its use of IoT sensors and similar technologies in the future.
- Once the IoT sensors were in place, the various city departments generally took ownership of the data, Edelen says.
As the city of Boulder optimized its wireless network to better support IoT sensors, the city’s IT pros found it had a “significant learning curve.”
Continue reading “Designing networks for IoT sensors can be a learning process”
- Here’s one that was presented recently at a talk by one of Amazon’s top Machine Learning people:Artificial Intelligence: A system or service which can perform tasks that usually require human intelligenceThis is a fairly common way to define it.
- Here’s a similar formulation from Nathan Benaich in his post 6 areas of AI and machine learning to watch closely:The ultimate goal of AI […] is to build machines capable of performing tasks and cognitive functions that are otherwise only within the scope of human intelligence.One problem with this definition is that it means the state of being an instance of Artificial Intelligence is temporary.
- Just look at all the “What is the difference between Artificial Intelligence and Machine Learning?”
- Really, why should Machine Learning be defined in relation to AI?The slippery definition issue above can be looked at as follows: it is the term “Artificial Intelligence” looking for things to refer to.
- This is no more true now than it was 50 years ago but many smart people are utterly convinced of it.The term “Artificial Intelligence” has been around since the early days of computer science, when “thinking machines” were seen as the natural next step after programming basic logic.
The internet is awash with stories about something called Artificial Intelligence. Confusion around what it is is prompting many to proffer definitions of it, or corrections of wrong definitions…
Continue reading “Hashtag Artificial Intelligence – Katherine Bailey – Medium”