If you are in a hurry and you want to know the core ideas of a research paper in Deep Learning/Artificial Intelligence, this podcast is for you. In each episode, I take a scientific paper and explain in simple words its main ideas.
Hope you enjoy it!
BCS, The Chartered Institute for IT
Life and Math
ZNotes Live
Aleksandra Zuraw, DVM, PhD
AERA Qualitative Research SIG
Cambridge University
NVivo
BCS, The Chartered Institute for IT
analytical@acs.org (Analytical Chemistry Staff)
The University of Nottingham
Dr. Daniel Tenbrinck
LCGC & Spectroscopy
Cambridge University
Jason Rhode
Steven Bryant
Armin Trost
Rigaku
Dr. Nels Lindahl
MSU
Que
Bruker Nano Analytics
Fiddly.fm
Brenda
None
Connie Malamed: Learning Experience Consultant, International Speaker
Sophia Hadley
Demetruis Vassar
Aidan Wimshurst
None
Pankaj Dhingra
adaptincplaces
Cambridge University
Cambridge University
ARTSEDGE: The Kennedy Center's Arts Education Network
Stardust Podcast
Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
OHBM
Jennifer Pulido
University of Twente
Owen Carmichael
Digital Driver
Sean Welleck
Cambridge University
Prof. Jan Borchers
Dan Gusfield
Cambridge University
Digital Sociology
Danielle Gillespie and Jared Mills
Hamilton Institute
Allen Institute for Artificial Intelligence
Richard Song
Hamilton Institute
Andrew Potratz
The Open University
Rafael Camacho
Marianne Bellotti
Andrew Archer
Ben Cary
Brent Huston
Aldis Erglis
MSACL
Neuro Collective
echo han
The Geneva Learning Foundation
Philipp Packmohr
The University of Nottingham
Mohammad Heydari
Eva Thanheiser
Serena Fu
Kaveh Bazargan
Kaveh Bazargan
Jacob Rosenberg
Chris Potts
Saem
John Betts, Jungian Analyst
Jessica Gafkjen
Nicholas Carah
Anjali Sharma
Rigaku
Cambridge University
ACTNext Navigator
Cassidy
Project World Consultz
Dr Nathalie Tasler
The University of Nottingham
Marta Bedard
Marcel Van Amelsvoort
Finn Upham
Roman Cheplyaka
PADMAPRIYA PARAMESWARAN
Yevgen Bogodistov
Lily Scott
None
K.B.Dharun Krishna
Daniel Norman
Martyn Kinch
None
Claire & Marlouke
Allison