Forecasting Demand for New Products - Ep 15
Forecasting product launches is inherently difficult. However it is a vital part of the product lifecycle and must be carefully planned in order to capitalise upon the ...
Lokad
Genetic Programming in the Real World - Leonardo Trujillo and Daniel E. Hernández (ITT)
Slides available at: https://drive.google.com/open?id=1VMLRti7jn9GxupgNxQ0Fr0mqaaeqVDf6 Summary Leonardo Trujillo overviews how GP can be used to ...
PAPIs.io
ICLR 2020 | Yoshua Bengio, Yann LeCun Reflections from the Turing Award Winners
ICLR 2020 | Yoshua Bengio, Yann LeCun Reflections from the Turing Award Winners ft. Dawn Song ...
AI Pursuit - Advancing AI Research
Artificial Intelligence in 2020
This video recaps developments in AI from 2019! Happy New Year! Thanks for watching! Please Subscribe! Links from Video Below: The Lottery Ticket ...
Henry AI Labs
CVPR 2019 Oral Session 2-1A: Deep Learning
0:57 Learning Video Representations from Correspondence Proposals Xingyu Liu (Stanford University)*; Joon-Young Lee (Adobe Research); Hailin Jin (Adobe ...
ComputerVisionFoundation Videos
Alberto Bemporad | Embedded Model Predictive Control
Recent Advances in Embedded Model Predictive Control Model Predictive Control (MPC) is one of the most successful techniques adopted in industry to control ...
University of Michigan Engineering
Mathematics: the next 100 years - Oxford Mathematics Alumni Lecture
How will mathematics develop over coming decades? Impossible to predict? Perhaps, but a glance backwards might prove a fruitful guide. A panel of Oxford ...
Oxford Mathematics
Quantum-classical Hybrid Algorithms for Protein Folding and Docking
Title: Quantum-classical Hybrid Algorithms for Protein Folding and Docking Speaker: Mark Fingerhuth, Co-Founder and Head of R&D, ProteinQure ...
TNG Technology Consulting GmbH
Recent Advances in Quantum Simulation with Applications to Chemistry and Field Theory
Nathan Wiebe (University of Washington) https://simons.berkeley.edu/talks/tbd-131 Quantum Algorithms.
Simons Institute
Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Josh ...
MIT OpenCourseWare
MIT CompBio Lecture 19 - Phylogenetics
MIT Computational Biology: Genomes, Networks, Evolution, Health Prof. Manolis Kellis http://compbio.mit.edu/6.047/ Fall 2018 Lecture 18 - Phylogenetics 0.
Manolis Kellis
Deep Learning for #Retail Warehouse Operations- Calvin Seward #reworkretail
Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that ...
RE•WORK
Industry Digital Transformation
Though #MWC20 is no longer going ahead, the chance to explore this intelligent world remains wide open to you. Stay tuned to #Huawei Enterprise's Industrial ...
Huawei Enterprise
Deep Learning for Decision Making and Control
A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing ...
UW Video
A new era in the quest for dark matter
IAP weekly specialised seminars / Friday 21 February 2020: Gianfranco Bertone, GRAPPA Inst., Gravitation AstroParticle Physics Amsterdam (Amsterdam, ...
Institut d'Astrophysique de Paris
Advances in Reinforcement Learning: AICan 2019 Panel Discussion 2
Moderator: Doina Precup, Mila Panellists: Pierre-Luc Bacon, Mila Jakob Foerster, Vector Institute Nicolas Le Roux, Mila Sheila McIlraith, Vector Institute Csaba ...
CIFAR
Symposium on Blockchain for Robotics and AI Systems
Robotics and AI systems are starting to revolutionize many applications, from transportation to health care, assisted by technological advancements such as ...
MIT Media Lab
Loic Matthey: Learning and leveraging disentangled representations for RL
Deep Reinforcement Learning has shown great success in tackling increasingly more complex tasks, but it still lacks the kind of general and modular reasoning ...
London Machine Learning Meetup
Weinan E: "Machine learning based multi-scale modeling"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Machine learning based multi-scale ...
Institute for Pure & Applied Mathematics (IPAM)
Ryutaro Tanno: Neural Networks and Decision Trees
Deep neural networks and decision trees operate on largely separate paradigms; typically, the former performs representation learning with pre-specified ...
London Machine Learning Meetup
Policy Gradient Methods: Tutorial and New Frontiers
In this tutorial we discuss several recent advances in deep reinforcement learning involving policy gradient methods. These methods have shown significant ...
Microsoft Research
Reinforcement Learning, Fast and Slow
Abstract: Deep reinforcement learning (RL) methods have driven impressive advances in artificial intelligence in recent years, exceeding human performance in ...
Yannic Kilcher
Post-Quantum Cryptography and HashiCorp Vault
This talk is an introduction to quantum cryptography and cryptanalysis: the physics and mathematics behind how quantum computers provide unique ...
HashiCorp
Andrew Ferguson: "Machine learning-enabled enhanced sampling in biomolecular simulation and..."
Machine Learning for Physics and the Physics of Learning Tutorials 2019 "Machine learning-enabled enhanced sampling in biomolecular simulation and ...
Institute for Pure & Applied Mathematics (IPAM)
From Sci-fi to Reality: Present and Future of Quantum Computing
From Sci-fi to Reality: Present and Future of Quantum Computing Presented by SGInnovate. Partnered with Centre for Quantum Technologies The development ...
SGInnovate
Digging for genes that contribute to behavioral evolution
Digging for genes that contribute to behavioral evolution Air date: Wednesday, November 30, 2016, 3:00:00 PM Category: WALS - Wednesday Afternoon ...
NIH VideoCast
Learning to Understand Language: Text Corpora are not Enough | Yoshua Bengio
Inaugural AI Research Week, hosted by the MIT-IBM Watson AI Lab. Yoshua Bengio, full professor and head of the Montreal Institute for Learning Algorithms ...
IBM Research
Online Optimization & Energy - Adam Wierman - 10/25/2019
AI-4-Science Workshop, October 25, 2019 at Bechtel Residence Dining Hall, Caltech. Learn more about: - AI-4-science: https://www.ist.caltech.edu/ai4science/ ...
caltech
Network Medicine: From Cellular Interactions to Human Diseases
Network Medicine: From Cellular Interactions to Human Diseases Air date: Wednesday, February 06, 2013, 3:00:00 PM Description: Wednesday Afternoon ...
NIH VideoCast
MIc'd Up | Part 2: Pedro Domingos in Conversation with Eric Schmidt
Milken Institute
Pedro Domingos - Unifying Logical and Statistical AI
Unifying Logical and Statistical AI Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the ...
The University of Edinburgh
Fitness Landscapes and Adaptive Evolution
Joachim Krug, University of Cologne New Directions in Probabilistic Models of Evolution http://simons.berkeley.edu/talks/joachim-krug-2014-05-02.
Simons Institute
From GANs to Variational Divergence Minimization
An important problem in achieving general artificial intelligence is the data-efficient learning of representations suitable for causal reasoning, planning, and ...
Microsoft Research
MIA: Natasha Jaques, Mechanisms for generalized learning; Susan Murphy, Personalized HeartSteps
May 15, 2019 Natasha Jaques MIT Media Lab Mechanisms for generalized learning across tasks and environments Abstract: Current approaches to machine ...
Broad Institute
Advances in Energy Efficiency Through Cloud and Machine Learning
Visit: http://www.uctv.tv/) 0:26 - Introduction 1:05 - Main Speaker - Urs Hölzle 46:23 - Audience Questions Today, the IT Industry accounts for about 2 percent of ...
University of California Television (UCTV)
Using Embeddings to Understand the Evolution of Data Science Skill Sets | TapRecruit
Download Slides: https://www.datacouncil.ai/talks/using-embeddings-to-understand-the-evolution-of-data-science-skill-sets WANT TO EXPERIENCE A TALK ...
Data Council
Real-time optimization algorithms for dynamic walking, running, and manipulating robots
The worlds largest technology companies and science funding agencies are investing millions in robotics. They anticipate robots that perform work as first ...
UW Video
Computer Vision in Space | Satellogic
Download Slides: https://www.datacouncil.ai/talks/computer-vision-in-space WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: ...
Data Council
MIT Compbio Lecture 12 - Deep Learning (Fall '19)
MIT Computational Biology: Genomes, Networks, Evolution, Health http://compbio.mit.edu/6.047/ Prof. Manolis Kellis Full playlist with all videos in order is here: ...
Manolis Kellis
A Modern Maximum-Likelihood Theory for High-Dimensional Logistic Regression
Pragya Sur (Stanford University) https://simons.berkeley.edu/talks/modern-maximum-likelihood-theory-high-dimensional-logistic-regression Robust and ...
Simons Institute
Sanjeev Arora: Toward Theoretical Understanding of Deep Learning
This is the second Ahlfors lecture of Sanjeev Arora from Princeton University and the Institute for Advanced Study. The lecture was given on September 12, 2018 ...
Harvard Math
RAAIS 2018 - Shakir Mohamed, Research Scientist at DeepMind
Shakir is a Research Scientist at DeepMind working on statistical machine learning and artificial intelligence. Much of his current focus is on the interface ...
The Research and Applied AI Summit - RAAIS
