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Researchers from NVIDIA have unveiled Nemotron-4 15B, a massive multilingual language model with 15 billion parameters, which has been trained on 8 trillion text tokens.

The development of artificial intelligence models that can handle both human language and code has been a significant focus for researchers. The goal is to create models that break down linguistic barriers and facilitate more intuitive interactions between humans and machines. This challenge encompasses understanding multiple languages and the intricate syntax and semantics of programming…

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Top AI Applications for Learners (March 2026)

Artificial intelligence (AI) is revolutionizing the educational experience and is expected to reach a market valuation of several billion dollars in the coming years. AI applications in education range from interactive virtual classrooms, "smart content" generation, linguistic barrier removal, knowledge gap closing, to individualized lesson plans for students. Numerous businesses are developing AI technologies to…

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Transforming Long-Duration Multivariable Time-Series Prediction: Presenting PDETime, a Unique Machine Learning Strategy Utilizing Neural PDE Solvers for Matchless Precision

A team of researchers from the Harbin Institute of Technology, Huawei Technologies Ltd, Squirrel AI, Meta AI, and Fudan University have developed a groundbreaking model for multivariate time series forecasting called PDETime. Traditional forecasting models, used in various applications from weather prediction to energy management, tend to rely on historical data and simple time-index features,…

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Utilizing Practical Data to Reveal Cancer Treatments Outside the Label and Guidelines: Learnings from an All-embracing Data Science Method.

Cancer therapy has always been a field of intense research which is constantly seeking new treatments to improve the outcomes of patients. A critical aspect of this field is the frequent use of off-label and off-guideline usage treatments. These treatments are not officially approved or recommended by standard guidelines but have provided a lifeline to…

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Stanford researchers present Score Entropy Discrete Diffusion (SEDD): A machine learning model that contests the autoregressive language pattern and outperforms GPT-2 in terms of complexity and quality.

Artificial Intelligence (AI) and Deep Learning have made significant advancements, particularly in the area of generative modelling, a subfield of Machine Learning. Here, models are trained to produce new data samples that match the training data. Generative AI systems have shown remarkable capabilities, such as creating images from written descriptions and solving complex problems. Autoregressive…

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Introducing PlanGPT: The Pioneering Large-Scale Language Model Framework for Tackling Challenges in Urban Planning and Spatial Development.

The urban and spatial planning sector is a rapidly evolving field that increasingly requires the integration of advanced technology. This not only expedites planning processes, but also improves the precision and efficacy of urban development strategies. Amid this technological revolution, the advent of specialised large language models (LLMs), designed for specific industries, has occurred. This…

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What does the future have in store for generative AI?

The "Generative AI: Shaping the Future" symposium, the kickoff event of MIT’s Generative AI Week, drew hundreds of attendees both from academia and industry. Rodney Brooks, iRobot co-founder and keynote speaker, warned attendees against uncritically overestimating the capabilities of generative AI, a technology increasingly powering tools such as OpenAI’s ChatGPT and Google’s Bard. Generative AI…

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Eric Evans is set to resign from his role of director at the MIT Lincoln Laboratory.

Eric Evans is stepping down as the director of MIT Lincoln Laboratory on July 1, 2024. He has led the lab through 18 years of technology research and development for national advancements, serving as an influential advisor to senior government officials on technology strategy. Following his departure, Evans will adopt the role of fellow in…

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MIT’s Generative AI Week promotes conversation among different fields.

In late November, Massachusetts Institute of Technology (MIT) held a Generative AI Week involving faculty, staff, and students from the institution. The event served as a platform to discuss the opportunities and important applications of generative artificial intelligence technologies across varied disciplines. The week's agenda included a main symposium and four subject-specific symposia. MIT President…

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Reviewing MIT’s Media Presence in 2023

In 2023, Massachusetts Institute of Technology (MIT) has had a busy and eventful year. Under the leadership of newly inaugurated President Sally Kornbluth, the institute saw significant advances in a range of fields, such as artificial intelligence (AI), clean energy solutions, disease detection, and even the science of kindness. Professor Moungi Bawendi was a notable…

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