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Show Results For
- All HBS Web
(1,192)
- People (1)
- News (241)
- Research (683)
- Events (17)
- Multimedia (9)
- Faculty Publications (566)
- 14 Mar 2024
- Blog Post
IFC India: SELCO - Last Mile Solar Powered Energy for Rural India
impact within the community is designed to build ecosystems that deliver quality livelihood, health, and energy services at the last mile. During our visit, we had the chance to see and View Details
- Web
Information Technology | Harvard Business School
Information Technology From Brainstorm to Breakthrough: HBS IT Hackathon Inspires AI Innovations Last summer, HBS IT staff participated in a Hackathon that challenged teams to discover new ways to learn... View Details
- Web
Research Computing Services - Faculty & Research
and matching Review of papers and assistance addressing reviewers' comments Identification and testing of new methods and approaches The... View Details
- Web
Logging In - Research Computing Services
on your desktop (use all default settings during the installation). After the desktop installation is complete, please restart your machine before proceeding. Local Client Connection On the Welcome page, click on “Create a new connection”... View Details
- October 2024
- Technical Note
Prompt Engineering
By: Michael Parzen and Jo Ellery
This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
- Web
Data Practices - Research Computing Services
Data Practices Data Tips & Toolkits RCS has compiled an array of packages and tools that can help you with your data wrangling, web scraping, and statistical analysis, among others. Below is a selected list... View Details
- 18 Dec 2019
- Book
6 Skills That Wise Companies Harness for World-Changing Innovation
Takeuchi says he’s hopeful that Japanese firms will start to take advantage of machine learning and other technologies that Western companies are embracing. But as large... View Details
Keywords: by Kristen Senz
- 01 Dec 2022
- News
Future Vision
created by Professor Mitch Weiss for students in The Entrepreneurial Manager. In class, students negotiate terms for a pool of VC money. The simulation draws on PitchBook data from real pitches, and it uses View Details
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
- Web
Digital Innovation - Alumni
harnessing the latest technology to educate students, conduct real-world research and share impactful insights with practitioners worldwide, and provide lifelong learning to... View Details
- Web
Frequently Asked Questions | HBS Online
allows its members the ability to self-determine and self-report continuing education credits earned from external sources. CFA Institute members are encouraged to self-document such credits in their online Professional View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 02 Mar 2016
- News
David Moss is Rewriting History
students can’t simply rely on their modern-day political views; the Democratic and Republican parties didn’t even exist yet, and the political challenges they will learn about... View Details
Keywords: April White
- 16 Dec 2022
- Research & Ideas
Why Technology Alone Can't Solve AI's Bias Problem
other strategies to achieve a better solution in the end.” You Might Also Like: When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap? When Design Enables... View Details
- March 16, 2021
- Article
From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles
By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli
For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing
complex autonomous systems with ethically acceptable behavior. We... View Details
Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning
De Freitas, Julian, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony, and Emilio Frazzoli. "From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles." Proceedings of the National Academy of Sciences 118, no. 11 (March 16, 2021).
- Web
C. Ludens Ringnes Sculpture Collection | About
2023 – 2025 This exhibition is made possible by the generosity of the artists and galleries, including Ai Weiwei (Lisson Gallery and neugerriemschneider) View Details
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- Web
Business Insights Blog | HBS Online
Marketing Negotiation News & Events Productivity Staff Spotlight Strategy Student Profiles Technology Work-Life Balance Courses Courses AI Essentials for Business Alternative Investments Business Analytics Business Strategy Business View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 25 Apr 2024
- News
Origin Stories
American Petroleum Institute. At Harvard and Harvard Business School, Hess learned the language of business and the languages of the countries where Hess did business,... View Details