Archit Sharma, a senior undergraduate from Indian Institute of Technology (IIT), Kanpur, has made India proud by bagging the fellowship of Google Brain, an artificial intelligence research team of Google. The Google Brain fellowship is offered only to 50 students from across the globe.
We recently reported about 'Google Brain', where we mentioned that, with this Artificial Intelligence (AI) driven tool, Google can forecast a host of patient outcomes, including how long people may stay in hospitals, their odds of re-admission and chances they will soon die.
Archit, who hails from Amritsar, Punjab, is pursuing Electrical Engineering and a minor in Artificial Intelligence and Linguistic Theory from IIT-Kanpur.
Archit on his selection for Google fellowship, said to The Tribune, "Now, I am feeling relaxed. It could not have been possible without the support of my parents and faculty at the IIT-Kanpur. I am looking forward to work with Google. I am excited as well as happy."
“I liked mathematicians which drew me towards engineering. I am very happy with the Google Brain fellowship. I have a deep interest in artificial intelligence. It is a step closer to explore the world of artificial intelligence. I have multiple options but I believe Google Brain is the best place for me,” says Archit, who scored 9.9 of the CGPA 10 in his B.Tech.
Archit has proved his mettle by winning various medals for his academic performance at the 51st annual convocation of the Indian Institute of Technology (IIT), Kanpur. This year, he even got departmental rank of 1, out of 140 undergraduates, in Electrical Engineering, IIT Kanpur.
On top of this, in 2012, even NASA has awarded Archit a first position in IX-X category amongst participants from over 10 countries for designing a space settlement capable of hosting nearly 10,000 humans independently.
Speaking about Google Brain, it is a deep learning artificial intelligence research team at Google formed in early 2010. It combines open-ended machine learning research with system engineering and Google-scale computing resources.
One unique thing about Google Brain team is that its members set their own research agenda, with the team as a whole maintaining a portfolio of projects across different time horizons and levels of risk.
Google Brain also has a Residency Program based in Mountain View, California, which is targeted at people (specifically students) who are eager to devote own passion to machine learning and artificial intelligence. This is an opportunity to get hands-on experience in Google team and have chance to keep in touch with professional researchers with Google Brain team. The program lasted 12 months.
Within the program were groups of new graduates from top universities with degree of BAs or Ph.Ds in computer science, physics, mathematics, and neuroscience, or others who come from years of industry experience. They were picked to work with researchers in Google Brain Team at the forefront of machine learning.
The residency program is similar to spending a year in a Master's or PhD program in machine learning. Residents are expected to read papers, work on research projects, and encouraged to publish in top-tier venues. By the end of the program, residents are expected to gain significant research experience in machine learning.
We recently reported about 'Google Brain', where we mentioned that, with this Artificial Intelligence (AI) driven tool, Google can forecast a host of patient outcomes, including how long people may stay in hospitals, their odds of re-admission and chances they will soon die.
Archit, who hails from Amritsar, Punjab, is pursuing Electrical Engineering and a minor in Artificial Intelligence and Linguistic Theory from IIT-Kanpur.
Archit on his selection for Google fellowship, said to The Tribune, "Now, I am feeling relaxed. It could not have been possible without the support of my parents and faculty at the IIT-Kanpur. I am looking forward to work with Google. I am excited as well as happy."
“I liked mathematicians which drew me towards engineering. I am very happy with the Google Brain fellowship. I have a deep interest in artificial intelligence. It is a step closer to explore the world of artificial intelligence. I have multiple options but I believe Google Brain is the best place for me,” says Archit, who scored 9.9 of the CGPA 10 in his B.Tech.
Archit has proved his mettle by winning various medals for his academic performance at the 51st annual convocation of the Indian Institute of Technology (IIT), Kanpur. This year, he even got departmental rank of 1, out of 140 undergraduates, in Electrical Engineering, IIT Kanpur.
On top of this, in 2012, even NASA has awarded Archit a first position in IX-X category amongst participants from over 10 countries for designing a space settlement capable of hosting nearly 10,000 humans independently.
Speaking about Google Brain, it is a deep learning artificial intelligence research team at Google formed in early 2010. It combines open-ended machine learning research with system engineering and Google-scale computing resources.
One unique thing about Google Brain team is that its members set their own research agenda, with the team as a whole maintaining a portfolio of projects across different time horizons and levels of risk.
Google Brain also has a Residency Program based in Mountain View, California, which is targeted at people (specifically students) who are eager to devote own passion to machine learning and artificial intelligence. This is an opportunity to get hands-on experience in Google team and have chance to keep in touch with professional researchers with Google Brain team. The program lasted 12 months.
Within the program were groups of new graduates from top universities with degree of BAs or Ph.Ds in computer science, physics, mathematics, and neuroscience, or others who come from years of industry experience. They were picked to work with researchers in Google Brain Team at the forefront of machine learning.
The residency program is similar to spending a year in a Master's or PhD program in machine learning. Residents are expected to read papers, work on research projects, and encouraged to publish in top-tier venues. By the end of the program, residents are expected to gain significant research experience in machine learning.
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