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Researchers at the University of Southern California have suggested a machine learning framework known as DeLLMa (Decision-making Large Language Model Assistant), created specifically to improve the precision of decision-making processes in environments filled with uncertainty.

In a world filled with complexity and unpredictability, making informed decisions often proves difficult. The conventional strategies and human expertise often fall short, especially in sectors such as business, finance, and agriculture that involve high stakes and uncertainty. Enter DeLLMa – a Decision-making Large Language Model Assistant developed by researchers from the University of Southern…

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Introducing Gen4Gen: A Partially Automated Process for Creating Datasets Utilizing Generative Models

Text-to-image diffusion models are arguably some of the greatest advancements in Artificial Intelligence (AI). However, personalizing these models with diverse concepts has proven challenging due to issues predominantly rooted in mismatches between the simplified text descriptions of pre-training datasets and the complexities of real-world scenarios. One significant hurdle in the field is the absence of…

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Researchers at Microsoft AI have engineered an advanced model named ResLoRA to enhance Low-Rank Adaptation (LoRA).

Researchers from the School of Computer Science and Engineering at Beihang University in Beijing, China, and Microsoft have developed an improved framework for Low-rank Adaptation (LoRA), known as ResLoRA. Improving LoRA is necessary to address the challenge of high costs which are incurred when fine-tuning Large Language Models (LLMs) on specific datasets, due to their…

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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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