In a breakthrough achievement, Microsoft's Labs has successfully integrated Artificial Intelligence into Raspberry Pi. With this, Microsoft has allowed AI to take big leap by putting deep learning algorithms onto a Raspberry Pi. The goals is to Squeeze AI into "dumb" devices like sprinklers, medical implants and soil sensors to make them more useful, even if there's no supercomputer or internet connection in sight.
The idea came about from Microsoft Labs teams in Redmond and Bangalore, India.
Ofer Dekel, who manages an AI optimization group at Microsoft's Redmond lab, got irritated by rodents like squirrels, who destroyed gardens by feeding on flower bulbs and seeds. He, then, programmed a computer sensor system to sense out these rodents. Once detected, the system would then instruct the sprinklers to go live, spreading water and chasing away the rodents. The programming was done on a Raspberry #Pi3 microcomputer. Now, it triggers the sprinkler system whenever the rodents pop up, chasing them away.
"Every hobbyist who owns a Raspberry Pi should be able to do that," said Dekel. "Today, very few of them can."
Dekel, an expert in machine learning, is aiming to solve that problem. He leads a multidisciplinary team of about 30 computer scientists, software engineers and research interns at Microsoft’s research labs in Redmond and Bangalore, India, that is developing a new class of machine-learning software and tools to embed artificial intelligence onto bread-crumb size computer processors. Early previews of the software called - Embedded Learning Library are available for download on GitHub.
The researchers at Microsoft’s India lab (in Bangalore) who are working on the project include -- Manik Varma, Praneeth Netrapalli, Chirag Gupta, Prateek Jain, Yeshwanth Cherapanamjeri, Rahul Sharma, Nagarajan Natarajan and Vivek Gupta.
[caption id="attachment_119600" align="aligncenter" width="700"]
Microsoft researchers are working on systems that can run machine learning algorithms on microcontrollers as small as the one being held by Ofer Dekel, a lead researcher on the project. Photo by Dan DeLong.[/caption]
"The dominant paradigm is that these devices are dumb," said Manik Varma, a senior researcher with Microsoft Research India and a co-leader of the project. "They sense their environment and transmit their sensor readings to the cloud where all of the machine learning happens. Unfortunately, this paradigm does not address a number of critical scenarios that we think can transform the world."
Notably, Google, this year, with its AIY project has teamed up with the Raspberry Pi foundation to create a new hardware add-on for Raspberry Pi in order to put AI onto artificial intelligence onto small things but it does require additional hardware called the ‘Voice Kit’. Microsoft however did the same thing with few KB of codes.
Know more details here - https://blogs.microsoft.com/next/2017/06/29/ais-big-leap-tiny-devices-opens-world-possibilities/
The idea came about from Microsoft Labs teams in Redmond and Bangalore, India.
Ofer Dekel, who manages an AI optimization group at Microsoft's Redmond lab, got irritated by rodents like squirrels, who destroyed gardens by feeding on flower bulbs and seeds. He, then, programmed a computer sensor system to sense out these rodents. Once detected, the system would then instruct the sprinklers to go live, spreading water and chasing away the rodents. The programming was done on a Raspberry #Pi3 microcomputer. Now, it triggers the sprinkler system whenever the rodents pop up, chasing them away.
"Every hobbyist who owns a Raspberry Pi should be able to do that," said Dekel. "Today, very few of them can."
Dekel, an expert in machine learning, is aiming to solve that problem. He leads a multidisciplinary team of about 30 computer scientists, software engineers and research interns at Microsoft’s research labs in Redmond and Bangalore, India, that is developing a new class of machine-learning software and tools to embed artificial intelligence onto bread-crumb size computer processors. Early previews of the software called - Embedded Learning Library are available for download on GitHub.
The researchers at Microsoft’s India lab (in Bangalore) who are working on the project include -- Manik Varma, Praneeth Netrapalli, Chirag Gupta, Prateek Jain, Yeshwanth Cherapanamjeri, Rahul Sharma, Nagarajan Natarajan and Vivek Gupta.
[caption id="attachment_119600" align="aligncenter" width="700"]
Microsoft researchers are working on systems that can run machine learning algorithms on microcontrollers as small as the one being held by Ofer Dekel, a lead researcher on the project. Photo by Dan DeLong.[/caption]"The dominant paradigm is that these devices are dumb," said Manik Varma, a senior researcher with Microsoft Research India and a co-leader of the project. "They sense their environment and transmit their sensor readings to the cloud where all of the machine learning happens. Unfortunately, this paradigm does not address a number of critical scenarios that we think can transform the world."
Notably, Google, this year, with its AIY project has teamed up with the Raspberry Pi foundation to create a new hardware add-on for Raspberry Pi in order to put AI onto artificial intelligence onto small things but it does require additional hardware called the ‘Voice Kit’. Microsoft however did the same thing with few KB of codes.
Know more details here - https://blogs.microsoft.com/next/2017/06/29/ais-big-leap-tiny-devices-opens-world-possibilities/
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