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The new system detects medications that are unsafe to combine.

A team of researchers at MIT, Brigham and Women’s Hospital, and Duke University have developed a method to identify the transport proteins that specific drugs use to leave the digestive tract. This is particularly important because drugs that use the same transport protein can interfere with each other's function. Understand the workings of these transporters could…

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Empowering individuals facing challenges with the use of artificial intelligence.

In 2010, Karthik Dinakar and Birago Jones, students at MIT Media Lab, built a tool for their class project aimed at aiding content moderation teams in companies like Twitter and YouTube. The duo was invited to demonstrate their invention at a cyberbullying summit at the White House. The night before the event, Dinakar found that…

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Enabling SEOs with AI-powered Reporting Tool on Leaked Internal Documents from Google

The SEO community has been rocked by a massive data leak, believed to be over 2,500 pages of Google's internal documentation. Allegedly found by Rand Fishkin and Michael King, this documentation gives a glimpse into the closely-guarded algorithms that power Google Search. However, while these documents may indeed reveal Google's intricate workings, their legitimacy remains…

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The board of OpenAI establishes a Committee for Safety and Security.

OpenAI recently announced the creation of a Safety and Security Committee, which is responsible for giving advice on vital security and safety decisions related to all OpenAI projects. The committee is composed of directors Bret Taylor (Chairperson), Sam Altman (OpenAI's CEO), Adam D’Angelo, and Nicole Seligman. Additionally, the committee includes Aleksander Madry (Head of Preparedness),…

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GPT-4 surpasses financial analysts in forecasting earnings.

A research paper by the University of Chicago suggests that GPT-4, a generalized AI model, could be more effective in predicting a company's future earnings than human experts. The researchers found that the AI model achieved an accuracy of 60% in its predictions, significantly higher than the 53% accuracy achieved by human analysts. The experiment involved…

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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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ScaleGraph: Improving the Scalability of Distributed Ledger Technology DLT with Adaptive Sharding and Synchronized Consensus.

The Machine Economy, which consists of billions of decentralized interconnected devices, requires the management of numerous micro-transactions. Distributed Ledger Technology (DLT), such as blockchain, is essential for handling these transactions. While sharding is a common method used for DLT scalability, it often requires expensive cross-shard verification to prevent double spending. This can complicate scalability. Researchers at…

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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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