When June Odongo interviewed early-career electrical engineer Cynthia Wacheke for a software engineering position at her company, Wacheke lacked knowledge of computer science theory but showed potential in complex problem-solving. Determined to give Wacheke a shot, Odongo turned to MIT…
Editor’s Note: this blog is from Nicolas Camara, CTO @ Mendable. Mendable.ai is a platform helping enterprise teams answer technical questions with AI. We’re incredibly excited to highlight how they are using LangChain Agents and LangSmith on their newest feature:…
JORDAN ASH: Thanks for having us. DIPENDRA MISRA: Yeah, thanks for having us, Gretchen. HUIZINGA: Dipendra, let’s start with a general overview of this paper. In a few sentences, describe the issue or problem your work addresses and, perhaps more…
The perpetual motion machine of AI-generated data and the distraction of ChatGPT as a ‘scientist’ Source link
As we strive to create AI agents that can plan, reflect, and think ahead, it is becoming clear that large language models alone are not enough. We need a robust memory system similar to the human brain to mimic human…
Atacama Biomaterials is a startup combining architecture, machine learning, and chemical engineering to create eco-friendly materials with multiple applications. Passionate about sustainable innovation, its co-founder Paloma Gonzalez-Rojas SM ’15, PhD ’21 highlights here how MIT has supported the project through several…
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. EVENT SERIES Register for Microsoft Research Forum Join Microsoft Research Forum (opens in…
Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy. However, the FDA does not require an understanding a drug’s mechanism of action for approval. This acceptance of results without…
Bring this project to life Recently, large language models (LLMs) have revolutionized the landscape of speech synthesis, offering powerful capabilities in zero-shot scenarios. But still there are challenges like slow inference speed and limited robustness, reminiscent of previous autoregressive speech…
Links Last week we highlighted LangGraph – a new package (available in both Python and JS) to better enable creation of LLM workflows containing cycles, which are a critical component of most agent runtimes. As a part of the launch,…
Heuristic algorithms, often referred to as heuristics, are tools used to approximate optimal algorithms to make faster and more efficient decisions. These are particularly useful in operational scenarios in production systems, such as determining which server a virtual machine should…
Bring this project to life Machine Learning (ML) is a powerful tool to predict sales or understand the behavioral pattern underlying the data. In an era where data is the fuel to transform any business and revolutionize its sales strategies,…