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Empowering individuals facing challenges by equipping them with artificial intelligence.

In 2010, MIT Media Lab students Karthik Dinakar SM ’12, PhD ’17 and Birago Jones SM ’12 embarked on creating a tool to assist content moderation teams at companies like Twitter (now X) and YouTube. Their demo, which was presented at a cyberbullying summit at the White House, identified troublesome posts through machine learning. However,…

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Manual For Evaluating Potential Representatives for Your Brand

Brand ambassadors play a crucial role in showcasing a company's brand and principles. They contribute to promoting the company's values, generating excitement and increasing sales. However, choosing the right brand ambassador can be a difficult process as not everyone may align well with your business. Evaluating potential ambassadors is pivotal in ensuring they fit well…

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The family of F1 superstar Michael Schumacher triumphs in legal battle against a false interview generated by artificial intelligence.

The family of seven-time F1 world champion, Michael Schumacher, has won compensation worth €200,000 from the publishers of a German magazine, Die Aktuelle, for printing an unauthorized AI-generated interview. The article, released in April 2023, falsely presented an interview with Schumacher, including the AI-generated quotes on his health and family life after his severe skiing…

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Lumina-T2X: An Integrated AI Structure for Converting Text into Any Modality Generation

Creating high-quality, diverse media from text is often a challenging task for existing models. Such models either generate low-quality outcomes, are slow, or need a significant level of computational power. Current solutions that resolve individual tasks such as text-to-image or text-to-video generation need to be merged with other models to achieve the desired effect. Moreover,…

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Lumina-T2X: A Comprehensive AI Structure for Generating Any Modality from Text

Generating high-quality, diverse media content from textual input is a complex task. Traditional models have suffered from several limitations such as poor output quality, slow processing or high computational resource requirements, making them less efficient and widespread. Even for individual tasks like text-to-image or text-to-video, these models often need to be used in conjunction with…

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This AI Research Presents Evo: A Genomic Base Model which Facilitates Generation and Forecasting Tasks from Molecular Level to Genome-Scale

Genomic research, which seeks to understand the structure and function of genomes, plays a significant role in a variety of sectors, including medicine, biotechnology, and evolutionary biology. It provides valuable insights into potential therapies for genetic disorders and fundamental life processes. However, the field also faces major challenges, particularly when it comes to modelling and…

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Hunyuan-DiT: A Fine-Scale Comprehension Diffusion Transformer for Text-to-Image Conversion in Both English and Chinese Languages

Researchers have developed a text-to-image diffusion transformer called Hunyuan-DiT. Its intention is to understand both English and Chinese text prompts in a nuanced way. Its creation involves important elements and steps to ensure optimal image production and finer language understanding. The fundamental components of Hunyuan-DiT include its Transformer structure, a Bilingual and Multilingual encoding, and Enhanced…

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A fresh method allows AI chatbots to communicate continuously without breaking down.

Researchers from MIT and other institutions have developed a solution to maintain continuous human-AI interactions without the chatbot crashing or slowing down. The solution, known as StreamingLLM, involves tweaking the key-value cache (like a conversation memory) that forms the heart of many large language models. Under the conventional setup, the cache, when filled beyond its…

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This small, secure ID label is capable of verifying virtually anything.

A team of researchers from MIT has developed an innovative antitampering cryptographic ID tag, which is smaller, cheaper, and more secure than traditional radio frequency identification (RFID) tags. Traditional RFIDs can be detached from a genuine item and reattached on counterfeit products, compromising the authenticity of the item. As a solution, the MIT team creates…

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