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Research Areas : Artificial Intelligence

Altman biomedical informatics, bioengineering, biophysics, genetics Russ Altman application of computing technologies to basic molecular biological problems, now referred to as bioinformatics Serafim Batzoglou computational genomics Gill Bejerano computational genomics Paulo Blikstein cognitive computational modeling, agent-based modeling, complexity sciences;

Butte biomedical informatics Atul Butte translational bioinformatics Ron Dror computational biology Stefano Ermon probabilistic reasoning and inference, machine learning, computational sustainability, sequential decision making, and control theory Ed Feigenbaum knowledge-based systems Richard Fikes knowledge representation Mike Genesereth computational logic, semantic web, computational law, enterprise management, general game playing Noah Goodman computational models of cognition, integrating logic and probability;

natural language semantics and pragmatics Leo Guibas computational geometry, image processing, graphics, computer vision, sensor networks, robotics, discrete algorithms Daniel Jurafsky computational linguistics, speech recognition, natural language Oussama Khatib robotics, haptics, motion planning Mykel J.

Kochenderfer N/A Daphne Koller probability theory, decision theory, game theory, probabilistic inference Anshul Kundaje development of statistical and machine learning methods for integrative analysis of diverse functional genomic and genetic data to learn models of gene regulation Jean-Claude Latombe robot-assisted surgery, integration of design and manufacturing, digital actors, molecular motions Jure Leskovec mining and modeling large social and information networks Michael Levitt biomedical informatics Fei-Fei Li computer vision Percy Liang modeling both natural and programming languages, and exploring the semantic and pragmatic connections between the two;

Nass (1958-2013) language, speech Andrew Ng machine learning, reinforcement learning/control, broad-competence AI Nils Nilsson robotics Roy Pea how innovations in computing and communications technologies and affiliated socio-cultural practices can influence learning, thinking, and educational systems Kenneth Salisbury robotics, haptics, computer-aided surgery Silvio Savarese theoretical foundations and practical applications of computational vision Yoav Shoham logic, multi-agent systems, game theory, electronic commerce Sebastian Thrun robotics, machine learning, probabilistic methods Benjamin Van Roy reinforcement learning

Efficient Extraction of Human Motion Volumes by Tracking Efficiently Updating Column Stores Elastic Strip Framework End-to-end Learning of Action Detection from Frame Glimpses in Videos Event Extraction as Dependency Parsing Extracting Moving People from Internet Videos Extracting Relations from Text for Knowledge Base Population General Game Playing Genome Evolution during Progression to Breast Cancer Genomics Approach to Identifying Transcription Factor Functions and Complexes GREAT Improves Functional Interpretation of CIS-Regulatory Regions Grouplet: A Structured Image Representation for Recognizing Human and Object Interaction HaemoBot: a Robotic System for IV Insertion Haptic-Feedback Assistive Devices Haptics Human Action Categorization Human Motion Analysis via Whole-Body Marker Tracking Control Human Motion Synthesis Human-Friendly Robot Design Humanoid Robots on Rough Terrain Improving Website Hyperlink Structure Using Server Logs Independent Component Analysis: Identifying Data-Driven Human Gene Modules Insurance in the World of Big Data Integrative Models of Expression and Chromatin Variation Across Cell Types Joint Embeddings of Shapes and Images via CNN Image Purification Just-in-time Compilation of MCMC for Probabilistic Programs Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction Learning Models of Biological and Medical Data Learning To Make Textual Inferences Logical Spreadsheets Machine Learning for Control Make3D MobiSim: Disruptive Technologies for Ubiquitous Medical Education Modeling Flexible Protein Loops Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities Multi-finger Manipulation Multi-goal Motion Planning Multiple-Contact-Point Haptics Neuromorphics: Compiling Code by Configuring Connections Object Class Detectors for 3D Scene Understanding Optimal Decision Making for Automotive Safety Systems OPTIMOL: automatic Object (or online) Picture collecTion via Incremental MOdel Learning Plug & Play Data Source in your Browser with Dexter Predicting Help-Seeking Behavior in Students Learning to Program Probabilistic Relational Models Quadruped Robot Quantifying the Influence of Online Media Real-time Motion Capture using a Single Time-Of-Flight Camera Recent Progress Towards Robotic Ultrasound Guidance Forradiation Therapy of Dynamic Soft-Tissue Targets Recent Progress Towards Robotic Ultrasound Guidance Forradiation Therapy of Dynamic Soft-Tissue Targets Recurrent Attention Models for Depth-Based Person Identification Repair Guidance in a WYSIWYG Data Editor Robobarista: Learning to Manipulate Novel Objects with Haptic Feedback Robotics-based Methods for Human Motion Synthesis: Applications in Rehabilitation, Sports Medicine, Ergonomics, and Computer Animation Robotics-Based Reconstruction and Synthesis of Human Motion Romeo & Juliet - Stanford Assistant Mobile Manipulations Rope Manipulation Planning SAI - Simulation & Active Interfaces Salisbury BioRobotics Laboratory Sampling Propagation Cascades Serpentine Mechanisms Shallow Semantic Parsing Small-step Retraction in PRM Planning SMS Text Normalization using Statistical Machine Translation Soft Tissue Modeling - towards real time simulation Speech Processing STAIR: The STanford AI Robot Statistical Linguistics StatNLP models: Combining linguistic and statistical sophistication Structural Recognition of Human Activities Study of Protein Motion Surgical Simulation Tactile Interfaces for Tele-Dermatology Teleoperation The Genomics of Neurodevelopment: Transcriptional Networks Underlying the Developing Neocortex The Intelligent Time Manager The Red Sea Robotics Exploratorium Towards Total Scene Understanding:Classification, Annotation and Segmentation in an Automatic Framework Transcriptional Networks Underlying Development Translational Bioinformatics Understanding Actions and Interactions in Range and Video Data Understanding complex human activities Understanding Digital Communications in 5,000 Languages Understanding the Human Genome Unsupervised Language Learning Virtual Rehearsal Environment for Maxillofacial Fracture Repair with Haptic Feedback Visual Relationship Detection with Language Priors

How we teach computers to understand pictures | Fei Fei Li

When a very young child looks at a picture, she can identify simple elements: "cat," "book," "chair." Now, computers are getting smart enough to do that too. What's next? In a thrilling talk,...

When workers own companies, the economy is more resilient | Niki Okuk

Another economic reality is possible -- one that values community, sustainability and resiliency instead of profit by any means necessary. Niki Okuk shares her case for cooperative economics...

A Day In the Sky,.. - ( news full video )

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