Filter Results:
(17,270)
Show Results For
- All HBS Web
(17,270)
- People (16)
- News (4,415)
- Research (8,793)
- Events (83)
- Multimedia (81)
- Faculty Publications (7,215)
Show Results For
- All HBS Web
(17,270)
- People (16)
- News (4,415)
- Research (8,793)
- Events (83)
- Multimedia (81)
- Faculty Publications (7,215)
- January 2003 (Revised August 2005)
- Case
CareGroup
By: F. Warren McFarlan and Robert D. Austin
Describes the circumstances leading to the three-and-a-half-day collapse of a major hospital group's IS capabilities. Identifies the technical reasons for the failure, management steps in dealing with the problem short term, and the long-term lessons they believe they... View Details
Keywords: Information Management; Information Technology; Safety; Crisis Management; Infrastructure; Health Industry
McFarlan, F. Warren, and Robert D. Austin. "CareGroup." Harvard Business School Case 303-097, January 2003. (Revised August 2005.)
- 01 Jun 2013
- News
More Newsmakers
Each week, the Alumni website features stories about HBS alumni, in addition to those that appear in this section of the Bulletin. Recent alumni profiled include: Fredo Arias-King (MBA 1996) Blake Hall (MBA 2010) Andreas Merkl (MBA 1989) For more alumni in the news,... View Details
- 01 Jun 2011
- News
HBS Entrepreneurship at a Glance
50. That’s how many years HBS has been researching and teaching entrepreneurship. It’s also the percentage of the School’s alumni who classify themselves as entrepreneurs ten to fifteen years after graduation. Among those who have founded successful business ventures... View Details
- 01 Jun 2011
- News
Map Quest
Stone: A museum-quality collection. Other Newsmakers Bob Gannon (OPM 16, 1990) Diana ("Dido") Harding (MBA ’92) David Miller (MBA ’03) Allison O’Kelly (MBA ’99) Amos Schocken (MBA ’70) Tom Tiller (MBA ’91) Bill Wyman (MBA ’65) Ammara Yaqub (MBA ’05) Next time you’re in... View Details
Keywords: maps
- 01 Jun 2012
- News
Giving Through HBS
Investing in HBS Giving Together Jump-Start From Fellowship Recipient to ‘The Most Influential Business Thinker On Earth’ FAQ In talking to alumni about supporting the School, one of the things I like to remind people is that they don’t give to HBS, they give through... View Details
Keywords: Professor Howard Stevenson
- 20 Nov 2014
- News
Expanding Audiences Through HBX CORe
To introduce the language of business to those just starting careers or preparing for an MBA, HBS debuted in June 2014 its Credential of Readiness (CORe) program, an online business primer for college undergraduates, recent graduates, and graduate students in... View Details
- 1978
- Book
Business Policy: Text and Cases
By: C. Roland Christensen, Kenneth R. Andrews and Joseph L. Bower
Christensen, C. Roland, Kenneth R. Andrews, and Joseph L. Bower. Business Policy: Text and Cases. 4th ed. Homewood, IL: Richard D. Irwin, 1978.
- 14 Jan 2010
- Working Paper Summaries
Optimal Auction Design and Equilibrium Selection in Sponsored Search Auctions
Keywords: by Benjamin G. Edelman & Michael Schwarz
- Teaching Interest
Technology and Operations Management - MBA Required Curriculum
This course enables students to develop the skills and concepts needed to ensure the ongoing contribution of a firm's... View Details
- June 2024 (Revised August 2024)
- Technical Note
Web3 Business Model Design for Entrepreneurs
By: Shikhar Ghosh and Liang Wu
Ghosh, Shikhar, and Liang Wu. "Web3 Business Model Design for Entrepreneurs." Harvard Business School Technical Note 824-177, June 2024. (Revised August 2024.)
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- 15 Apr 2023
- Conference Presentation
Autonomous Systems
By: Hise O. Gibson, Rob Wittman, Brandon Tseng, Nini Hamrick and Tim Booher
Autonomous systems have been on the front lines and front pages in the war in Ukraine, yet there are many unanswered questions regarding their future role and capabilities. Currently, these systems are employed in myriad use cases in logistics, intelligence, and... View Details
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- December 2018 (Revised March 2021)
- Background Note
Modern Automation (A): Artificial Intelligence
By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)