Publications

Selected Publications | START and Omnibase | Question Answering | Other Publications | Infolab in the Media

Selected Publications

• David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu. How hard are computer vision datasets? Calibrating dataset difficulty to viewing time. Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks. (pdf)


• Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu. Incorporating Rich Social Interactions Into MDPs. Proceedings of the 39th International Conference on Robotics and Automation (ICRA 2022). (pdf)


• Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum. PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. Proceedings of the AAAI Thirty-Fifth Conference on Artificial Intelligence (AAAI-21), February 2021 (virtual). (pdf)


• Yen-Ling Kuo, Boris Katz, Andrei Barbu. Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) October 25–29, 2020, Las Vegas, NV, USA (virtual). (pdf)


• Yen-Ling Kuo, Boris Katz, Andrei Barbu. Deep compositional robotic planners that follow natural language commands. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020. Paris, France. (pdf)


• Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu. Learning a natural-language to LTL executable semantic parser for grounded robotics. 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA. (pdf)


• Andrei Barbu, Dalitso Banda, Boris Katz. Deep video-to-video transformations for accessibility with an application to photosensitivity. Pattern Recognition Letters 137 (2020) 99–107, Elsevier. (pdf)


• Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Joshua Tenenbaum, Boris Katz. ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 2019. (pdf)


• Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Mayanganbayar, Boris Katz. Grounding language acquisition by training semantic parsers using captioned videos. Conference on Empirical Methods on Natural Language Processing, Brussels, Belgium, 2018. (pdf)


• Yen-Ling Kuo, Andrei Barbu, Boris Katz. Deep sequential models for sampling-based planning. International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018. (pdf)


• Yevgeni Berzak, Boris Katz, Roger Levy. Assessing Language Proficiency from Eye Movements in Reading. The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 2018. (pdf) (link)


• Boris Katz, Gary Borchardt, Sue Felshin, and Federico Mora. A Natural Language Interface for Mobile Devices. In Kent L. Norman and Jurek Kirakowski (eds.), The Wiley Handbook of Human Computer Interaction, Volume 2, First Edition, 539–559, John Wiley & Sons, 2018. (pdf) (link)


• Rohan Paul, Andrei Barbu, Sue Felshin, Boris Katz, Nicholas Roy. Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, 2017. (pdf)


• Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz. Predicting Native Language from Gaze. Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada, 2017. (pdf)


• Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen, Boris Katz. Anchoring and Agreement in Syntactic Annotations. The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016), Austin, Texas, 2016. (pdf)


• Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz. Learning to Answer Questions from Wikipedia Infoboxes. The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016), Austin, Texas, 2016. (pdf)


• Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza and Boris Katz. Universal Dependencies for Learner English. Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, 2016. (pdf)


• Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, and Shimon Ullman. Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. The 2015 Conference on Empirical Methods on Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015. (pdf)


• Howard Shrobe, Boris Katz, and Randall Davis. Towards a Programmer’s Apprentice (Again). Proceedings of the AAAI Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), 25–29, January 2015, Austin, Texas. (pdf)


• Yevgeni Berzak, Roi Reichart, and Boris Katz. Reconstructing Native Language Typology from Foreign Language Usage. Eighteenth Conference on Computational Natural Language Learning (CoNLL-2014), Baltimore, USA, 2014. (pdf)

START and Omnibase

• Boris Katz, Gary Borchardt and Sue Felshin. Natural Language Annotations for Question Answering. Proceedings of the 19th International FLAIRS Conference (FLAIRS 2006), May 2006, Melbourne Beach, FL. (pdf)


• Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland and Baris Temelkuran. Omnibase: Uniform Access to Heterogeneous Data for Question Answering. Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems (NLDB 2002), June, 2002. (pdf)


• Boris Katz. Annotating the World Wide Web Using Natural Language. Proceedings of the 5th RIAO Conference on Computer Assisted Information Searching on the Internet (RIAO '97), 1997. (pdf)


• Boris Katz. Using English for Indexing and Retrieving. In P. H. Winston & S. A. Shellard (eds.), Artificial Intelligence at MIT: Expanding Frontiers (vol. 1, pp. 134–165). Cambridge, MA: MIT Press, 1990. Republication of paper in RIAO '88 proceedings.


• Boris Katz. Using English for Indexing and Retrieving. Proceedings of the 1st RIAO Conference on User-Oriented Content-Based Text and Image Handling (RIAO '88), 1988. Also appears in P. H. Winston & S. A. Shellard (eds.), Artificial Intelligence at MIT: Expanding Frontiers (vol. 1, pp. 134–165, Cambridge, MA: MIT Press, 1990). (pdf)


• Boris Katz and Beth Levin. Exploiting Lexical Regularities in Designing Natural Language Systems. Proceedings of the 12th International Conference on Computational Linguistics (COLING '88), 1988. See also the same paper published as A.I. Memo No. 1041. (pdf)


• Boris Katz. A Three-Step Procedure for Language Generation. A.I. Memo No. 599, MIT Artificial Intelligence Laboratory, 1980. (pdf)

Question Answering

• Boris Katz, Gary Borchardt, Sue Felshin, and Federico Mora. A Natural Language Interface for Mobile Devices. In Kent L. Norman and Jurek Kirakowski (eds.), The Wiley Handbook of Human Computer Interaction, Volume 2, First Edition, 539–559, John Wiley & Sons, 2018. (pdf) (link)


• Boris Katz, Gary Borchardt, Sue Felshin, and Federico Mora. A Natural Language Interface for Mobile Devices. Technical Report MIT-CSAIL-TR-2018-013, MIT Computer Science and Artificial Intelligence Laboratory, 2018. (pdf) (also published as a chapter in The Wiley Handbook of Human Computer Interaction)


• Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz. Learning to Answer Questions from Wikipedia Infoboxes. The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016), Austin, Texas, 2016. (pdf)


• Boris Katz, Gary Borchardt, Sue Felshin, Yuan Shen and Gabriel Zaccak. Answering English Questions using Foreign-Language, Semi-Structured Sources. Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 439‐445, September 2007, Irvine, CA. (pdf)


• Boris Katz, Gary Borchardt, Sue Felshin and Federico Mora. Harnessing Language in Mobile Environments. Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 421‐428, September 2007, Irvine, CA. (pdf)


• Boris Katz, Gregory Marton, Gary Borchardt, Alexis Brownell, Sue Felshin, Daniel Loreto, Jesse Louis-Rosenberg, Ben Lu, Federico Mora, Stephan Stiller, Ozlem Uzuner, and Angela Wilcox. External Knowledge Sources for Question Answering. Proceedings of the 14th Annual Text REtrieval Conference (TREC2005), November 2005, Gaithersburg, MD. (pdf)


• Boris Katz, Gary Borchardt and Sue Felshin. Syntactic and Semantic Decomposition Strategies for Question Answering from Multiple Resources. Proceedings of the AAAI 2005 Workshop on Inference for Textual Question Answering, 35‐41, July 2005, Pittsburgh, PA. (pdf)


• Boris Katz, Jimmy Lin, Daniel Loreto, Wesley Hildebrandt, Matthew Bilotti, Sue Felshin, Aaron Fernandes, Gregory Marton, and Federico Mora. Integrating Web-based and Corpus-based Techniques for Question Answering. Proceedings of the Twelfth Text REtrieval Conference (TREC 2003), November 2003, Gaithersburg, Maryland. (pdf)


• Wesley Hildebrandt, Boris Katz, and Jimmy Lin. Answering Definition Questions Using Multiple Knowledge Sources. Human Language Technology conference / North American chapter of the Association for Computational Linguistics annual meeting (HLT/NAACL 2004), Boston, Massachusetts, 2004. (pdf)


• Jimmy Lin, Boris Katz. Question Answering from the World Wide Web using Knowledge Annotation and Knowledge Mining Techniques. Proceedings of the Twelfth International Conference on Information and Knowledge Management (CIKM 2003), November 2003, New Orleans, Louisiana. (pdf)


• Stefanie Tellex, Boris Katz, Jimmy Lin, Gregory Marton, and Aaron Fernandes. Quantitative Evaluation of Passage Retrieval Algorithms for Question Answering. Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2003), July 2003, Toronto, Canada. (Best Student Paper) (pdf)


• Boris Katz and Jimmy Lin. Selectively Using Relations to Improve Precision in Question Answering. Proceedings of the EACL-2003 Workshop on Natural Language Processing for Question Answering, April, 2003. (pdf)


• Boris Katz, Jimmy Lin, Chris Stauffer, and Eric Grimson. Answering Questions about Moving Objects in Surveillance Videos. Proceedings of 2003 AAAI Spring Symposium on New Directions in Question Answering, March, 2003. (pdf)


• Jimmy Lin, Aaron Fernandes, Boris Katz, Gregory Marton, and Stefanie Tellex. Extracting Answers from the Web Using Knowledge Annotation and Knowledge Mining Techniques. Proceedings of the Eleventh Text REtrieval Conference (TREC 2002), November, 2002. (pdf)


• Boris Katz, Jimmy Lin, and Sue Felshin. Gathering Knowledge for a Question Answering System from Heterogeneous Information Sources. Proceedings of the ACL 2001 Workshop on Human Language Technology and Knowledge Management, July, 2001. (pdf)


• Boris Katz and Jimmy Lin. REXTOR: A System for Generating Relations from Natural Language. Proceedings of the ACL 2000 Workshop of Natural Language Processing and Information Retrieval (NLP&IR), October, 2000. (pdf)

Other Publications

• David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu. How hard are computer vision datasets? Calibrating dataset difficulty to viewing time. Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks. (pdf)


• Adam Yaari, Jan DeWitt, Henry Hu, Bennett Stankovits, Sue Felshin, Yevgeni Berzak, Helena Aparicio, Boris Katz, Ignacio Cases, Andrei Barbu. The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank. The 2022 Conference on Empirical Methods on Natural Language Processing (EMNLP 2022), Abu Dhabi, 2022. (pdf)


• Emily Cheng, Yen-Ling Kuo, Josefina Correa, Ignacio Cases, Boris Katz, Andrei Barbu. Quantifying the Emergence of Symbolic Communication. Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci), 2022. (pdf)


• Yevgeni Berzak, Chie Nakamura, Amelia Smith, Emily Weng, Boris Katz, Suzanne Flynn, and Roger Levy. CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading. Open Mind: Discoveries in Cognitive Science, 2022. (pdf)


• Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu. Incorporating Rich Social Interactions Into MDPs. Proceedings of the 39th International Conference on Robotics and Automation (ICRA 2022). (pdf)


• Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman. Trajectory Prediction with Linguistic Representations. International Conference on Robotics and Automation (ICRA), 2022. (pdf)


• Ravi Tejwani, Boris Katz and Cynthia Breazeal. Migratable AI: Investigating users' affect on Identity and Information migration of a Conversational AI agent. International Conference on Social Robotics, 257-267, 2021. (pdf)


• Yen-Ling Kuo, Boris Katz, Andrei Barbu. Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (pdf)


• Yen-Ling Kuo, Boris Katz, Andrei Barbu. Compositional RL Agents that Follow Language Commands in Temporal Logic. Frontiers in Robotics and AI, section "Robot and Machine Vision", 2021. (link)


• Candace Ross, Boris Katz, Andrei Barbu. Measuring Social Biases in Grounded Vision and Language Embeddings. Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), 2021. (pdf)


• Colin Conwell, David Mayo, Michael A. Buice, Boris Katz, George A. Alvarez, Andrei Barbu. Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex. The Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021. (pdf)


• Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu. Social Interactions as Recursive MDPs. 5th Conference on Robot Learning (CoRL 2021), London, UK, 2021. (pdf)


• Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum. PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. Proceedings of the AAAI Thirty-Fifth Conference on Artificial Intelligence (AAAI-21), February 2021 (virtual). (pdf)


• Yen-Ling Kuo, Boris Katz, Andrei Barbu. Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) October 25–29, 2020, Las Vegas, NV, USA (virtual). (pdf)


• Yen-Ling Kuo, Boris Katz, Andrei Barbu. Deep compositional robotic planners that follow natural language commands. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020. Paris, France. (pdf)


• Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu. Learning a natural-language to LTL executable semantic parser for grounded robotics. 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA. (pdf)


• Andrei Barbu, Dalitso Banda, Boris Katz. Deep video-to-video transformations for accessibility with an application to photosensitivity. Pattern Recognition Letters 137 (2020) 99–107, Elsevier. (pdf)


• Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Joshua Tenenbaum, Boris Katz. ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 2019. (pdf)


• Idiart MAP, Villavicencio A, Katz B, Rennó-Costa C and Lisman J. How the Brain Represents Language and Answers Questions? Using an AI System to Understand the Underlying Neurobiological Mechanisms. Frontiers in Computational Neuroscience. Volume 13, Article 12. doi: 10.3389/fncom.2019.00012, 2019. (pdf)


• Yevgeni Berzak, Boris Katz, Roger Levy. Assessing Language Proficiency from Eye Movements in Reading. The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 2018. (pdf)


• Ben-Yosef G, Ullman S. Image interpretation above and below the object level. Journal of the Royal Society Interface Focus 8 : 20180020, 2018. (link)


• Ben-Yosef, G., Assif, L., & Ullman, S. (2018). Full interpretation of minimal images. Cognition, 171, 65–84, 2018. (link)


• Rohan Paul, Andrei Barbu, Sue Felshin, Boris Katz, Nicholas Roy. Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, 2017. (pdf) (link)


• Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz. Predicting Native Language from Gaze. Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada, 2017. (pdf)


• Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen, Boris Katz. Anchoring and Agreement in Syntactic Annotations. The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016), Austin, Texas, 2016. (pdf)


• Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza and Boris Katz. Universal Dependencies for Learner English. Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, 2016. (pdf)


• Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, and Shimon Ullman. Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. The 2015 Conference on Empirical Methods on Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015. (pdf)


• Yevgeni Berzak, Roi Reichart and Boris Katz. Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL. Nineteenth Conference on Computational Natural Language Learning (CoNLL), Beijing, China, 2015. (pdf)


• Gary C. Borchardt. A Suite of Techniques for Describing Activity in Terms of Events. Technical Report MIT-CSAIL-TR-2015-009, MIT Computer Science and Artificial Intelligence Laboratory, 2015. (pdf)


• Howard Shrobe, Boris Katz, and Randall Davis. Towards a Programmer’s Apprentice (Again). Proceedings of the AAAI Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), 25–29, January 2015, Austin, Texas. (pdf)


• Gary Borchardt, Boris Katz, Hong-Linh Nguyen, Sue Felshin, Ken Senne, and Andy Wang. An Analyst's Assistant for the Interpretation of Vehicle Track Data. Technical Report MIT-CSAIL-TR-2014-022, MIT Computer Science and Artificial Intelligence Laboratory, 2014. (pdf)


• Yevgeni Berzak, Roi Reichart, and Boris Katz. Reconstructing Native Language Typology from Foreign Language Usage. Eighteenth Conference on Computational Natural Language Learning (CoNLL-2014), Baltimore, USA, 2014. (pdf)


• Gary C. Borchardt. Moebius Language Reference, Version 1.2. Technical Report MIT-CSAIL-TR-2014-005, MIT Computer Science and Artificial Intelligence Laboratory, 2014. (pdf)


• Tom Yeh, Brandyn White, Jose San Pedro, Boris Katz, and Larry S. Davis. A Case for Query by Image and Text Content: Searching Computer Help using Screenshots and Keywords. Proceedings of the 20th International World Wide Web Conference (WWW 2011), March 2011, Hyderabad, India. (pdf)


• Boris Katz, Federico Mora, Gary Borchardt and Sue Felshin. STARTMobile: An Intelligent Phone Assistant in 2006 (STARTMobile: Using Language to Connect People to Mobile Devices). Infolab Research Group, MIT CSAIL, 2006. (pdf)


• David Karger, Boris Katz, Jimmy Lin, and Dennis Quan. Sticky Notes for the Semantic Web. Proceedings of the 2003 International Conference on Intelligent User Interfaces (IUI 2003), January, 2003. (pdf)


• Jimmy Lin, Dennis Quan, Vineet Sinha, Karun Bakshi, David Huynh, Boris Katz, and David R. Karger. What Makes a Good Answer? The Role of Context in Question Answering. Proceedings of the Ninth IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2003), September 2003, Zurich, Switzerland. (pdf)


• Jimmy Lin, Dennis Quan, Vineet Sinha, Karun Bakshi, David Huynh, Boris Katz, and David Karger. The Role of Context in Question Answering Systems. Proceedings of the 2003 Conference on Human Factors in Computing Systems (CHI 2003), April, 2003. (pdf)


• Boris Katz, Jimmy Lin, and Dennis Quan. Natural Language Annotations for the Semantic Web. Proceedings of the International Conference on Ontologies, Databases, and Application of Semantics (ODBASE 2002), October, 2002. (pdf)


• Boris Katz and Jimmy Lin. Annotating the Semantic Web Using Natural Language. Proceedings of the 2nd Workshop on NLP and XML (NLPXML-2002) at COLING 2002, September, 2002. (pdf)


• Boris Katz, Deniz Yuret, Jimmy Lin, Sue Felshin, Rebecca Schulman, Adnan Ilik. Blitz: A Preprocessor for Detecting Context-Independent Linguistic Structures. Proceedings of the 5th Pacific Rim Conference on Artificial Intelligence (PRICAI '98), November, 1998. (pdf)


• Gary C. Borchardt. Thinking between the Lines: Computers and the Comprehension of Causal Descriptions. MIT Press, 1994. (link)


• Gary C. Borchardt. Causal Reconstruction. A. I. Memo 1403, MIT Artificial Intelligence Laboratory, 1993. (pdf)


• Gary C. Borchardt. Understanding Causal Descriptions of Physical Systems. Proceedings of the AAAI Tenth National Conference on Artificial Intelligence (AAAI-92), 2–8, July 1992, San Jose, CA. (pdf)


• Boris Katz. On a Program for Composing Verse. Automatics and Telemechanics, 2, Moscow, 151–156, 1978. (pdf)

Infolab in the Media

• Image recognition accuracy: An unseen challenge confounding today’s AI: “Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification. Rachel Gordon | MIT CSAIL. MIT News, December 15, 2023. (link)


• Robots Are Getting More Social to Better Understand You. Allison Murray. Lifewire, November 11, 2021. (link)


• Researchers Develop Framework to Give Robots Social Skills. Alex McFarland. Unite.AI, November 7, 2021. (link)


• Giving robots social skills: A new machine-learning system helps robots understand and perform certain social interactions. Adam Zewe | MIT News Office. MIT News, November 5, 2021. (link)


• Teaching robots to socialize. Brian Heater. TechCrunch, November 5, 2021. (link)


• A robotic planner that responds to natural language commands. Ingrid Fadelli, Phys.org. Science X Network. In TechXplore, March 10, 2020. (link)


• Why Machine Learning Is Still Dumb (And How We Might Fix It): When viewing an image out of context, machine learning shows that it's not very smart after all. Courtney Linder. Popular Mechanics, Dec 17, 2019. (link)


• The mind-bending confusion of ‘hammer on a bed’ shows computer vision is far from solved: These images are designed to fool AI. James Vincent. The Verge, Dec 12, 2019. (link)


• This object-recognition dataset stumped the world’s best computer vision models: Objects are posed in varied positions and shot at odd angles to spur new AI techniques. Kim Martineau | MIT Quest for Intelligence. MIT News, December 10, 2019. (link)


• An obstacle course to make AI better Kaveh Waddell and Alison Snyder. Axios, Dec 7, 2019. (link)


• The man who helped invent virtual assistants thinks they’re doomed without a new AI approach: Boris Katz has spent his career trying to help machines master language. He believes that current AI techniques aren’t enough to make Siri or Alexa truly smart. Will Knight. MIT Technology Review, March 13, 2019. (pdf) (TR link)


• Combining artificial intelligence with their passions: Research projects show creative ways MIT students are connecting computing to other fields. Kim Martineau | MIT Quest for Intelligence. MIT News, March 7, 2019. (link)


• Twenty-five ways in which MIT has transformed computing: From digital circuits to ingestible robots, the Institute has helped spearhead key innovations in the technology revolution. Adam Conner-Simons | Rachel Gordon | MIT CSAIL. MIT News, February 25, 2019. Item "2007: The mobile personal assistant". (link)


• Machines that learn language more like kids do: Computer model could improve human-machine interaction, provide insight into how children learn language. Rob Matheson | MIT News Office. MIT News, October 31, 2018. (link).


• Model helps robots navigate more like humans do: In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences. Rob Matheson | MIT News Office. MIT News, October 4, 2018.(link)


• Gauging language proficiency through eye movement: Study tracks eye movement to determine how well people understand English as a foreign language. Peter Dizikes | MIT News Office. MIT News, May 22, 2018. (link)


• Robot learns to follow orders like Alexa: ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands. Adam Conner-Simons | Rachel Gordon | CSAIL. MIT News, August 30, 2017. (link)


• First major database of non-native English: Resource could yield linguistic insights, practical applications for non-native English speakers. Larry Hardesty | MIT News Office. July 29, 2016. (link).


• Certain English Errors May Decipher Clues To Dying Languages. Hidden Brain, Shankar Vedantam. NPR Morning Edition, September 30, 2014, 5:06 AM ET. (link)


• Drones, Bitcoin, and robotic fish: Here are eight of the coolest things that happened at CSAIL in 2014. Adam Conner-Simons | CSAIL. MIT News, December 29, 2014. (link).


• Essays in English yield information about other languages: Grammatical habits in written English reveal linguistic features of non-native speakers’ languages. Larry Hardesty | MIT News Office. MIT News, July 23, 2014. (link).


• Unlocking the key to human intelligence. Abby Abazorius | CSAIL. MIT News, October 19, 2011. (link).


• The Brains Behind Watson: CSAIL professor helped computer win at Jeopardy! by Larry Hardesty. MIT Technology Review, April 19, 2011. (pdf) (TR link)


• Nokia Phones Go to Natural Language Class: Nokia and MIT researchers are teaching cell phones to take commands in natural language by Katherine Bourzac. MIT Technology Review, April 27, 2006. (pdf) (TR link)


• Seminar brings together experts in artificial intelligence. MIT News, September 17, 1997. (link)