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Artificial Intelligence

Leading Artificial Intelligence Instruments for Graphic Artists

Artificial Intelligence (AI) is transforming the graphic design industry by automating repetitive tasks and offering new methods for creativity. AI enables both trained and amateur designers to enhance their creative productivity, making graphic design more accessible. It provides unlimited creative potential, thus allowing designers to experiment with a variety of styles and mediums. Various AI…

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Google AI launches AGREE, a machine learning platform that endows large language models with the ability to autonomously evaluate their responses and offer detailed references.

The accuracy of Large Language Models (LLMs) such as Google's GPT (Generative Pre-trained Transformer) is vital, particularly when it comes to producing content that needs to be factually correct, such as educational content or news reports. However, despite their abilities, LLMs often generate plausible but incorrect information, a phenomenon known as "hallucination." Google AI researchers have…

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Improving Answer Selection in Community Question Answering using Question-Answer Cross Attention Networks (QAN)

Community Question Answering (CQA) platforms like Quora, Yahoo! Answers, and StackOverflow are popular online forums for information exchange. However, due to the variable quality of responses, users often struggle to sift through myriad answers to find pertinent information. Traditional methods of answer selection in these platforms include content/user modeling and adaptive support. Still, there's room…

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This small, secure identification label can verify nearly anything.

MIT researchers have created a microscopic, low-cost cryptographic ID tag, designed to protect products from counterfeiting by providing improved security compared to traditional radio frequency tags (RFIDs). The technology, developed using terahertz waves, can offer a highly secure, low-cost, and easy-to-implement solution in preventing tampering and ensuring product authenticity. RFID tags typically use radio waves to…

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The recent model recognizes medications that are not advisable to be combined.

Researchers from the Massachusetts Institute of Technology (MIT), Brigham and Women’s Hospital, and Duke University have used tissue models and machine-learning algorithms to identify how specific drugs pass through the digestive tract. The knowledge can help improve patient treatments, as certain drugs could interfere with each other if they depend on the same protein transporters.…

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A new method is able to determine which medications should not be combined.

Researchers from the Massachusetts Institute of Technology (MIT), Brigham and Women’s Hospital, and Duke University have developed an innovative strategy to identify the transporter proteins used by different drugs in the body’s gastrointestinal (GI) tract. The method, which employs tissue models and machine-learning algorithms, aims to improve drug administration by enabling predictions of drug interactions…

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Implementing AI for individuals confronted with issues to resolve.

In 2010, Karthik Dinakar SM ’12, PhD ’17, and Birago Jones SM ’12, students at the Media Lab, embarked on a project aimed at helping content moderation teams at major companies like Twitter (now X) and YouTube. Their work ignited a great deal of interest and they were invited to present their project at a…

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What is Galactica? It’s the Meta adaptation of ChatGPT that doesn’t meet expectations.

Last year, tech giant Meta launched Galactica, an artificial intelligence (AI) tool designed to write articles, solve complex math problems, generate computer code, and aid in scientific research. However, despite being pitched as an AI-powered asset to scientific inquiries, Galactica faced severe criticism for inaccurate generation of factual data, an issue that can be a…

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Healthcare Deep Learning: Obstacles, Uses, and Prospective Pathways

Biomedical data is increasingly complex, spanning various sources such as electronic health records (EHRs), imaging, omics data, sensors, and text. Traditional data mining and statistical methods struggle to extract meaningful insights from this high-dimensional, heterogeneous data. Recent advancements in deep learning offer a transformative solution, enabling models that can directly process raw biomedical data. Such…

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The Emergence of Retrieval-Augmented Generation (RAG) in AI: The Ascend in Artificial Intelligence

Artificial Intelligence (AI) and data science are fast-growing fields, with the development of Agentic Retrieval-Augmented Generation (RAG), a promising evolution that seeks to improve how information is utilized and managed compared to current RAG systems. Retrieval-augmented generation (RAG) refines large language model (LLM) applications through the use of bespoke data. By consulting external authoritative knowledge bases…

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