Education · PhD in ML

New Ph.D. Program Highlights Growing Importance of Machine Learning

Eight Georgia Tech schools partner to offer advanced degree in emerging field of machine learning. The Georgia Institute of Technology has been approved to offer a new advanced degree program for the emerging field of machine learning.In a unanimous vote, the Board of Regents of the University System of Georgia approved Georgia Tech’s request to… Continue reading New Ph.D. Program Highlights Growing Importance of Machine Learning

ICML

ICML 2017 accepted papers and ML@GT

The list of accepted papers at ICML2017 was released yesterday and Andrej Karpathy has published a very nice post breaking down the acceptance by institution. Out of 1701 submissions 433 papers were accepted (or roughly 25.46%) from 420 different institutions. I am excited to see a very strong representation of Machine Learning @ Georgia Tech… Continue reading ICML 2017 accepted papers and ML@GT

Awards · Faculty

Meet These Incredible Women Advancing A.I. Research, including our very own Devi Parikh

Our own Devi Parikh was featured as one of the “Incredible Women Advancing A.I. Research” by Forbes. Congrats to Devi. Devi Parikh is an Assistant Professor in the School of Interactive Computing at Georgia Tech and a Visiting Researcher at Facebook AI Research (FAIR). After receiving her masters and Ph.D. in Electrical and Computer Engineering… Continue reading Meet These Incredible Women Advancing A.I. Research, including our very own Devi Parikh

Students

Home Depot Deep Learning Competition At Georgia Tech

A couple of weeks ago, Home Depot hosted a Deep Learning competition, in partnership with The Agency (the undergraduate ML club) and the Big O Theory club. Here’s a note from the organizers about the event: Teams of Georgia Tech students spent nearly 24 hours starting the evening of Friday, April 14th, racing to produce… Continue reading Home Depot Deep Learning Competition At Georgia Tech

Seminars

ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB

Title: “Sum-Product Networks: The Next Generation of Deep Models” Speaker: Pedro Domingo (University of Washington) Date/Time: April 19, 2017, @ 12n (lunch served at 11:30am) Location: Engineered Biosystems Building (EBB), CHOA Room Abstract: The two main types of deep learning are function approximation and probability estimation. Function approximators like convolutional neural networks are robust and allow for real-time inference,… Continue reading ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB

Events · Georgia Tech

ML@GT Launch Event + Celebration, April 17, 2017 11am – 7 pm, TSRB 132/134

The InterdisciplinaryResearch Center for Machine Learning at Georgia Tech (ML@GT) is hosting its inaugural event on Monday, April 17, 2017, from 11 am – 7 pm. Details below. Time: Monday, April 17, 2017, from 11am – 7pm. Location: Technology Square Research Building, First Floor (Banquet Rooms TSRB 132/134) on Georgia Tech Campus (Map | Parking). Schedule Summary (Detailed… Continue reading ML@GT Launch Event + Celebration, April 17, 2017 11am – 7 pm, TSRB 132/134

Events

NVIDIA and GT GPU Deep Learning Symposium, April 18

NVIDIA and GT GPU Deep Learning Symposium, April 18Thanks to support from NVIDIA, we are hosting a deep learning symposium focused on the use of GPUs on April 18th, 10-3 in the Bill Moore Student Success Center. NVIDIA will be presenting some of its recent work with respect to deep learning as well as resources… Continue reading NVIDIA and GT GPU Deep Learning Symposium, April 18