Psychology, Deductive reasoning, Learning, Machine learning, Artificial intelligence, Reasoning

Danfei Xu

On Oct 18, 2020
@drfeifei shared
RT @danfei_xu: Greetings Twitterverse! Excited to share that I'm going on the academic job market this year! Check out my research at https://t.co/4fAh2BX3B7
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Research My research tackles long-standing problems in robotics such as learning from demonstrations and task planning by drawing from robotics, computer vision, and structured learning approaches. Some examples are learning to follow video task demonstrations by neural program induction ...

cs.stanford.edu
On Oct 18, 2020
@drfeifei shared
RT @danfei_xu: Greetings Twitterverse! Excited to share that I'm going on the academic job market this year! Check out my research at https://t.co/4fAh2BX3B7
Open

Danfei Xu

Danfei Xu

Research My research tackles long-standing problems in robotics such as learning from demonstrations and task planning by drawing from robotics, computer vision, and structured learning ...

Artificial Intelligence in Enterprise - Robo-Management Consulting is a Reality

Artificial Intelligence in Enterprise - Robo-Management Consulting is a Reality

Introduction Much of the recent AI revolution has been focused on automation through big data and/or sensors and feedback into neural networks. The resulting…

Reinforcement Learning, Intuition, and Abductive Reasoning

Reinforcement Learning, Intuition, and Abductive Reasoning

Reinforcement learning is a technique largely used for training gaming AI — like making a computer win at Go or finish Super Mario Bros…

There Are Three Sources of Knowledge

There Are Three Sources of Knowledge

There are three sources of knowledge in both humans and artificial intelligence: 1) Inductive Inference 2) Deductive Inference 3) Communication Inductive Inference establishes new facts ...

See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion

See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion

Humans are able to seamlessly integrate tactile and visual stimuli with their intuitions to explore and execute complex manipulation skills. They not only see but also feel their actions. ...

Working Towards Explainable and Data-efficient Machine Learning Models via Symbolic Reasoning

Working Towards Explainable and Data-efficient Machine Learning Models via Symbolic Reasoning

By Yuan Yang In recent years, we have experienced the success of modern machine learning (ML) models. Many of them have led to unprecedented breakthroughs in a wide range of applications, ...

More intelligent through artificial intelligence?

More intelligent through artificial intelligence?

Social robots – the teachers of the future or at least learning assistants? A Herrenhausen Forum inquired into just how intelligent and empathic digital teaching robots can be and the ...

CES 2020: Consumer-Facing Opportunities Accelerate Evolution of the AI DevOps Toolchain

CES 2020: Consumer-Facing Opportunities Accelerate Evolution of the AI DevOps Toolchain

CES is not an enterprise-oriented tech event. But it hosts a wide range of exhibitors and features a fair number of products and technologies.

Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI

Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI

This symposium will focus on integrating aspects of causal inference with those of machine learning, recognizing that the capacity to reason about cause and effect is critical in achieving ...

Types of Machine Learning – Supervised, Unsupervised, Reinforcement

Types of Machine Learning – Supervised, Unsupervised, Reinforcement

Learn various types of Machine Learning Methods - Supervised, Unsupervised,semi-supervised, reinforcement, self supervised, multiple instance, inductive etc

Working towards explainable and data-efficient machine learning models via symbolic reasoning

Working towards explainable and data-efficient machine learning models via symbolic reasoning

Working towards explainable and data-efficient machine learning models via symbolic reasoning

CVPR 2020 Workshop, June 15, Seattle, WA

CVPR 2020 Workshop, June 15, Seattle, WA

Schedule 10:40 - 11:00 - Break 11:40 - 12:25 Oral presentations "Learning to Learn Words from Visual Scenes" (Dídac Suris; Dave Epstein; Heng Ji; Shih-Fu Chang; Carl Vondrick) "Visual ...

NEC develops AI Technology to support stable operation of social infrastructure

NEC develops AI Technology to support stable operation of social infrastructure

NEC Corporation (NEC; TSE: 6701), in collaboration with the National Institute of Advanced Industrial Science and Technology (AIST), today announced the development of an AI technology, ...

Groq Hardware Now Available on Nimbix Cloud for AI Workloads

Groq Hardware Now Available on Nimbix Cloud for AI Workloads

Today Groq announced that the company's tensor processing hardware is now available on the Nimbix Cloud for select partners. The Groq processor is designed specifically for the performance ...