Computer vision, Neural network, Learning, Artificial intelligence, Artificial neural network, Machine learning

Humans in the Loop: The Design of Interactive AI Systems

On Oct 29, 2020
@drfeifei shared
RT @StanfordHAI: “What if, instead of thinking of automation as the removal of human involvement from a task, we imagined it as the selective inclusion of human participation?” Professor @gewang unravels the value derived from “human-in-the-loop” AI systems. https://t.co/WKSMnxGqdH https://t.co/0LYIlO8HyA
Open

I am a part of the Stanford Human-centered AI initiative, and my students and I research the design of systems that fundamentally infuse technology and human interaction, in the pursuit of new tools for musical and other forms of human creativity. For example, through style-transfer deep ...

hai.stanford.edu
On Oct 29, 2020
@drfeifei shared
RT @StanfordHAI: “What if, instead of thinking of automation as the removal of human involvement from a task, we imagined it as the selective inclusion of human participation?” Professor @gewang unravels the value derived from “human-in-the-loop” AI systems. https://t.co/WKSMnxGqdH https://t.co/0LYIlO8HyA
Open

Humans in the Loop: The Design of Interactive AI Systems

Humans in the Loop: The Design of Interactive AI Systems

I am a part of the Stanford Human-centered AI initiative, and my students and I research the design of systems that fundamentally infuse technology and human interaction, in the pursuit of ...

Allen School’s latest faculty additions will strengthen UW’s leadership in robotics, machine learning, human-computer interaction, and more

Allen School’s latest faculty additions will strengthen UW’s leadership in robotics, machine learning, human-computer interaction, and more

Leveraging online learning to enable customized MPC algorithms for control tasks, the team demonstrated a set of new MPC algorithms created with its framework on a range of simulated tasks ...

Artificial Intelligence and Robotics Research

Artificial Intelligence and Robotics Research

Artificial Intelligence and Robotics Research artificial-intelligence-2020

AI as Instrument of Knowledge Extractivism

AI as Instrument of Knowledge Extractivism

The Nooscope Manifested: AI as Instrument of Knowledge Extractivism. By Matteo Pasquinelli and Vladan Joler (2020)

The VC's Guide to Machine Learning

The VC's Guide to Machine Learning

© 2020 by Radna Intellectual Ventures, LLC. “Artificial Intelligence began with an ancient wish to forge the Gods. In the singular words of Pamela McCorduck…

AI: More than Human

AI: More than Human

Told through some of the most prominent and cutting-edge research projects, from DeepMind, Jigsaw, Massachusetts Institute of Technology Computer Science Artificial Intelligence Laboratory ...

Artificial Intelligence

Artificial Intelligence

The plaque also cites the core conjecture of their proposal: that intelligent human behavior consisted in processes that could be formalized and reproduced in a machine (McCarthy, Minksy, ...

Where is the Human? Bridging the Gap Between AI and HCI

Where is the Human? Bridging the Gap Between AI and HCI

CHI 2019 Workshop, Saturday 4 May 2019, Glasgow

Leveraging Unlabeled Data

Leveraging Unlabeled Data

Deep learning looks for better pretexts.

10 Free Must-read Books on AI

10 Free Must-read Books on AI

Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there ...

What is deep learning? Everything you need to know

What is deep learning? Everything you need to know

The lowdown on deep learning: from how it relates to the wider field of machine learning through to how to get started with it.

Pioneers in Deep Learning to Receive ACM Turing Award

Pioneers in Deep Learning to Receive ACM Turing Award

Today ACM named Yoshua Bengio, Geoffrey Hinton, and Yann LeCun recipients of the 2018 ACM Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a ...

Our Instructions for AI Will Never Be Specific Enough

Our Instructions for AI Will Never Be Specific Enough

AI excels at following human commands. That may be a problem.

AI predictions for 2019 from Yann LeCun, Hilary Mason, Andrew Ng, and Rumman Chowdhury

AI predictions for 2019 from Yann LeCun, Hilary Mason, Andrew Ng, and Rumman Chowdhury

VentureBeat spoke with Google Brain cofounder Andrew Ng, Fast Forward Labs founder Hilary Mason, Facebook AI Research founder Yann LeCun, and Accenture responsible AI global lead Dr. Rumman ...