Natural Language Processing

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Jacob Andreas and Brett McGuire named Edgerton Award winners

ai, AI (Artificial Intelligence), Artificial Intelligence, Astronomy and astrophysics, Awards, honors and fellowships, Chemistry, Computer Science and Artificial Intelligence Laboratory (CSAIL), Education, teaching, academics, Electrical engineering and computer science (EECS), Faculty, Machine Learning, MIT Schwarzman College of Computing, Natural Language Processing, School of Engineering, School of Science

MIT Associate Professor Jacob Andreas of the Department of Electrical Engineering and Computer Science [EECS] and MIT Associate Professor Brett McGuire of the Department of Chemistry have been selected as the winners of the 2026 Harold E. Edgerton Faculty Achievement Award. Established in 1982 as a permanent tribute to Institute Professor Emeritus Harold E. Edgerton’s great and enduring

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Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector

ai, AI (Artificial Intelligence), AI modeling, Artificial Intelligence, Computer vision, innovation, Natural Language Processing, risk modeling

Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning, computer vision and natural […] The post Same toolbox,

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MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Careers, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Industry, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural Language Processing, Research, Robotics, School of Engineering

The early years of faculty members’ careers are a formative and exciting time in which to establish a firm footing that helps determine the trajectory of researchers’ studies. This includes building a research team, which demands innovative ideas and direction, creative collaborators, and reliable resources. For a group of MIT faculty working with and on artificial

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A New Frontier for AI Agents: Transparency

agent communication, ai, AI (Artificial Intelligence), AI Agents, AI Governance, Artificial Intelligence, explainable AI, interpretability, Natural Language Processing, NLG, NLP, transparency, trust, Uncategorized

As AI agents optimize how they communicate, the shift away from human-readable language underscores why transparency and interpretability are essential for building trust in autonomous systems. The post A New Frontier for AI Agents: Transparency appeared first on SAS Blogs.

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Retailers bring conversational AI and analytics closer to the user

ai, AI (Artificial Intelligence), Artificial Intelligence, conversational interfaces, Data Analytics, Marketing AI, Natural Language Processing, product testing, Retail, Retail & Logistics AI

After years of experimentation with artificial intelligence, retailers are striving to embed consumer insight directly into everyday commercial decisions. First Insight, a US-based analytics company specialising in predictive consumer feedback, argues that the next phase of retail AI should be epitomised by dialogue, not dashboards. Following a three-month beta programme, First Insight has made its

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There is yet another AI productivity gap

Applied AI Modeling, Artificial Intelligence, best practices, deep learning, Generative AI, Large Language Models, LLMs, Natural Language Processing, Uncategorized

When I first started as a data scientist, there was a gap. I met with dozens of organizations who would invest time and resources into building accurate and tuned models and then ask, “What now?” They had a fantastic model in hand but couldn’t get it into a place and […] The post There is

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MIT researchers “speak objects into existence” using AI and robotics

Architecture, Artificial Intelligence, Center for Bits and Atoms, Computer science and technology, Design, Electrical engineering and computer science (EECS), Fabrication, Human-computer interaction, Mechanical engineering, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, Natural Language Processing, Research, Robotics, School of Architecture and Planning, School of Engineering

Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality system, an AI-driven workflow that allows them to provide input to a robotic arm and “speak objects into existence,” creating

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