Making AI Work, MIT Technology Review’s new AI newsletter, is here
#MIT Technology Review #Generative AI #Microsoft Copilot #Machine Learning #Workplace productivity #AI implementation #Case studies
📌 Key Takeaways
- MIT Technology Review has launched 'Making AI Work', a seven-week limited-run mini-course delivered via newsletter.
- The series focuses on industry-specific case studies involving health care, climate tech, education, and finance.
- The curriculum includes practical explorations of tools like Microsoft Copilot in medical settings and AI-driven efficiency in nuclear reactor construction.
- Each installment concludes with actionable tips and implementation strategies for working professionals to use in their daily tasks.
📖 Full Retelling
🏷️ Themes
Artificial Intelligence, Digital Literacy, Professional Development
📚 Related People & Topics
Machine learning
Study of algorithms that improve automatically through experience
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances i...
Microsoft Copilot
Chatbot developed by Microsoft
# Microsoft Copilot **Microsoft Copilot** is a generative artificial intelligence chatbot and assistant developed by **Microsoft AI**, a division of Microsoft. It serves as a central component of the company’s AI ecosystem and was launched in 2023 as the primary successor to the discontinued virtua...
MIT Technology Review
Magazine about technology
MIT Technology Review is a bimonthly magazine wholly owned by the Massachusetts Institute of Technology. It was founded in 1899 as The Technology Review, and was re-launched without the leading article in its name on April 23, 1998, under then publisher R. Bruce Journey. In September 2005, it was ch...
Generative artificial intelligence
Subset of AI using generative models
# Generative Artificial Intelligence (GenAI) **Generative artificial intelligence** (also referred to as **generative AI** or **GenAI**) is a specialized subfield of artificial intelligence focused on the creation of original content. Utilizing advanced generative models, these systems are capable ...
🔗 Entity Intersection Graph
Connections for Machine learning:
- 🌐 Large language model (7 shared articles)
- 🌐 Electroencephalography (3 shared articles)
- 🌐 Computer vision (3 shared articles)
- 🌐 Natural language processing (2 shared articles)
- 🌐 Artificial intelligence (2 shared articles)
- 🌐 Graph neural network (2 shared articles)
- 🌐 Neural network (2 shared articles)
- 🌐 Generative artificial intelligence (2 shared articles)
- 🌐 Transformer (1 shared articles)
- 🌐 User interface (1 shared articles)
- 👤 Stuart Russell (1 shared articles)
- 🌐 Ethics of artificial intelligence (1 shared articles)
📄 Original Source Content
For years, our newsroom has explored AI’s limitations and potential dangers, as well as its growing energy needs . And our reporters have looked closely at how generative tools are being used for tasks such as coding and running scientific experiments . But how is AI actually being used in fields like health care, climate tech, education, and finance? How are small businesses using it? And what should you keep in mind if you use AI tools at work? These questions guided the creation of Making AI Work, a new AI mini-course newsletter. Sign up for Making AI Work to see weekly case studies exploring tools and tips for AI implementation. The limited-run newsletter will deliver practical, industry-specific guidance on how generative AI is being used and deployed across sectors and what professionals need to know to apply it in their everyday work. The goal is to help working professionals more clearly see how AI is actually being used today, and what that looks like in practice —including new challenges it presents. You can sign up at any time and you’ll receive seven editions, delivered once per week, until you complete the series. Each newsletter begins with a case study, examining a specific use case of AI in a given industry. Then we’ll take a deeper look at the AI tool being used, with more context about how other companies or sectors are employing that same tool or system. Finally, we’ll end with action-oriented tips to help you apply the tool. Here’s a closer look at what we’ll cover: Week 1: How AI is changing health care Explore the future of medical note-taking by learning about the Microsoft Copilot tool used by doctors at Vanderbilt University Medical Center. Week 2: How AI could power up the nuclear industry Dig into an experiment between Google and the nuclear giant Westinghouse to see if AI can help build nuclear reactors more efficiently.&n