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Top AI Applications for Learners (March 2026)

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, List, Staff, Tech News, Technology, UncategorizedMarch 7, 202430Views0Likes0Comments
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

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 7, 202434Views0Likes0Comments
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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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.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 7, 202436Views0Likes0Comments
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.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 7, 202438Views0Likes0Comments
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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Method allows AI in peripheral devices to continuously update its knowledge over time.

Algorithms, Artificial Intelligence, Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Internet of things, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Mobile devices, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedMarch 7, 202439Views0Likes0Comments
Machine learning models are widely used today in smart devices like smartphones, with diverse applications like autocorrecting keyboards or improved chatbot responses. However, fine-tuning these models requires considerable computational resources and transfers of data to and from cloud servers – which can pose both energy and security issues. The team of researchers from MIT and…

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The search algorithm has unveiled close to 200 new variants of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 7, 202441Views0Likes0Comments
Microbial sequence databases hold a vast array of information about enzymes and other molecules that could be utilized in biotechnology applications. However, the sheer size of these databases has made it challenging to efficiently search for specific enzymes of interest. Researchers from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and…

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What does the future have in store for generative AI?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, School of Engineering, Special events and guest speakers, Staff, Students, UncategorizedMarch 7, 202440Views0Likes0Comments
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.

Administration, Artificial Intelligence, Center for International Studies, Collaboration, Community, Cybersecurity, Department of Defense (DoD), Department of Political Science, Leadership, Lincoln Laboratory, Machine learning, School of Engineering, School of Humanities Arts and Social Sciences, Security studies and military, Staff, UncategorizedMarch 7, 202440Views0Likes0Comments
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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Engineers from MIT have devised a method to decipher the behavior of material surfaces.

Artificial Intelligence, Chemistry, Department of Defense (DoD), DMSE, Machine learning, Materials science and engineering, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMarch 7, 202440Views0Likes0Comments
MIT researchers have developed a machine learning-based method for designing new compounds or alloys for use as catalysts in chemical reactions. Traditional methods of designing such materials rely on static observations of a single configuration, out of millions of possibilities, and the intuition of experienced chemists. However, the new method employs machine learning algorithms to…

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The automated system instructs users on appropriate timings for collaboration with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMarch 7, 202435Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed an onboarding process that efficiently combines human and AI efforts. The system educates a user when to collaborate with an AI assistant and when not. This method can find situations when a user trusts the AI model's advice, but the model is incorrect. The…

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