- The workplace is going to look drastically different ten years from now.
- So what do we need to learn today about the jobs of tomorrow?
- The robots and computers of the future will be based on a degree of complexity that will be impossible to teach to the general population in a few short years of compulsory education.
- And some of the most important skills people will need to work with robots will not be the things they learn in computing class.
- However, it looks like human workers will not be replaced by automation, but rather workers will work alongside robots.
How Artificial Intelligence and the robotic revolution will change the workplace of tomorrow
Continue reading “How Artificial Intelligence and the robotic revolution will change the workplace of tomorrow”
- Eben Upton, founder of the Raspberry Pi Foundation, told the BBC: “It’s fantastic to see Google getting closer to the maker community.”
- Google has set up its very own survey and is asking makers what smart tools would be the “most helpful”.
- Google set to bring AI to Raspberry Pi computers
- Google is on its way to bringing artificial intelligence and machine learning tools to computer Raspberry Pi.
- “I’m particularly excited about the prospect of connecting Raspberry Pi to some of the machine learning work coming out of Google DeepMind in London, allowing us to build smart devices that interact in the real world.”
Take a look at this interesting tech…
Continue reading “Google set to bring AI to Raspberry Pi computers”
- Google’s AI Learns How To Code Machine Learning Software
- The Google Brain artificial intelligence research group has created a new machine learning system that can design machine-learning software.
- In their experiment, the researchers challenged their software to create machine learning systems.
- Short Bytes: A team of researchers at Google Brain AI research group has created an AI system that has designed its own machine learning software.
- The software that came up with these designs used the power of 800 GPUs.
A team of researchers at Google Brain AI research group has created an AI system that has designed its own machine learning software. The software that came up with these designs used the power of 800 GPUs
Continue reading “Google’s AI Learns How To Code Machine Learning Software — Bad News For Programmers?”
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“The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable,” says digital visionary Kevin Kelly — and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. “The most popular AI product 20 years from now that everyone uses has not been invented yet,” Kelly says. “That means that you’re not late.”
Continue reading “Kevin Kelly: How AI can bring on a second Industrial Revolution”
- If you are deploying a model to a cloud environment, you want to know that your model can execute on the hardware available to it, without unpredictable interactions with other code that may access the same hardware.
- For example, the Udacity tutorials and the RNN tutorial using Penn TreeBank data to build a language model are very illustrative, thanks to their simplicity.
- For me, holding mental context for a new framework and model I’m building to solve a hard problem is already pretty taxing, so it can be really helpful to inspect a totally different representation of a model; the TensorBoard graph visualization is great for this.
- But good programmers know it is much harder to write code that humans will use, versus code that a machine can compile and execute.
- We appreciate their strategy of integrating new features and tests first so early adopters can try things before they are documented.
A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff) from Dan Kuster, one of indico’s deep learning researchers.
Continue reading “The Good, Bad, & Ugly of TensorFlow”
- The rise of the technologies is being called the fourth industrial revolution, which raises concerns over job security as many people, in the past, have lost their jobs due to introduction of newer technologies.
- Commenting on the impact of automation, Shaw said that the next ten years should clearly be about making the existing jobs more productive through technology.
- For example, the people working in airlines and travel agencies have already lost their jobs due to the introduction of different e-commerce sites.
- The disruptive technologies such as artificial intelligence (AI), robotics, automation and Internet of Things (IoT) have become an integral part of our everyday lives.
- Though automation makes jobs more productive, it will take over the jobs of millions people.
The rise of these technologies is being called the fourth industrial revolution.
Continue reading “Is India prepared for ‘fourth industrial revolution’?”
- The company already had been working on using automation to flag extremist video content, as Reuters reported in June.
- Using artificial intelligence to flag live video is still at the research stage, and has two challenges, Candela said.
- Decisions on especially thorny content issues that might require policy changes are made by top executives at the company.
- Facebook has historically relied mostly on users to report offensive posts, which are then checked by Facebook employees against company “community standards.”
- Indiana will give the company $7 million in tax incentives, and Carrier will invest $16 million in…
An automated algorithm that detects nudity, violence, or other inappropriate material is being tested on Facebook Live.
Continue reading “Facebook is working on artificial intelligence to flag offensive live streams”