Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Uncategorized

Close

Neural Flow Diffusion Models (NFDM): A Unique Machine Learning Structure that Improves Diffusion Models by Facilitating More Advanced Forward Processes Beyond the Standard Linear Gaussian

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 26, 2024200Views0Likes0Comments
Generative models, a class of probabilistic machine learning, have seen extensive use in various fields, such as the visual and performing arts, medicine, and physics. These models are proficient in creating probability distributions that accurately describe datasets, making them ideal for generating synthetic datasets for training data and discovering latent structures and patterns in an…

Read More

Improving the Scalability and Efficiency of AI Models: Research on the Multi-Head Mixture-of-Experts Approach

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 26, 2024228Views0Likes0Comments
Large Language Models (LLMs) and Large Multi-modal Models (LMMs) are effective across various domains and tasks, but scaling up these models comes with significant computational costs and inference speed limitations. Sparse Mixtures of Experts (SMoE) can help to overcome these challenges by enabling model scalability while reducing computational costs. However, SMoE struggles with low expert…

Read More

CATS (Contextually Aware Thresholding for Sparsity): An Innovative Machine Learning Structure for Triggering and Utilizing Activation Sparsity in LLMs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 26, 2024190Views0Likes0Comments
Large Language Models (LLMs), while transformative for many AI applications, necessitate high computational power, especially during inference phases. This poses significant operational costs and efficiency challenges as the models become bigger and more intricate. Particularly, the computational expenses incurred when running these models at the inference stage can be intensive due to their dense activation…

Read More

Pegasus-1, a multimodal language model specializing in video content comprehension and interaction using natural language, has been unveiled by Twelve Labs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 26, 2024210Views0Likes0Comments
Pegasus-1 is a state-of-the-art multimodal Large Language Model (LLM) developed by Twelve Labs and designed to interact with and comprehend video content through natural language. The model is intended to overcome the complexities of video data, including the consideration of multiple modalities in one format and the understanding of the sequence and timeline of visual…

Read More

Pegasus-1, a multimodal language model proficient in video content comprehension and interaction via natural language, has been unveiled by Twelve Labs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 26, 2024169Views0Likes0Comments
Large Language Models (LLMs) with video content is a challenging area of ongoing study, with a notable advancement in this field being Pegasus-1. This innovative multimodal model is designed to comprehend, synthesize, and interact with video data using natural language. MarkTech Post explains that the purpose of Pegasus-1's creation was to manage the inherent complexity of…

Read More

An adaptable approach to assist animators in enhancing their artistry.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 26, 2024211Views0Likes0Comments
Researchers from MIT have developed a technique that provides animation artists greater flexibility and control over their characters. Their approach generates mathematical functions known as barycentric coordinates which define how 2D and 3D shapes can bend, stretch, and move. This change allows artists to choose functions that best suit their vision for their characters, offering…

Read More

A versatile approach to assist creatives in enhancing animation.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 26, 2024239Views0Likes0Comments
MIT researchers have introduced a new technique giving animation artists more control over their 2D and 3D characters. The method uses mathematical functions, known as barycentric coordinates, which determine how shapes can move, bend, and stretch in space. This allows artists to shape the movements of an animated character according to their vision. Traditionally, artists have…

Read More

MIT scientists have harnessed artificial intelligence to discover a fresh set of potential antibiotics.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedApril 26, 2024220Views0Likes0Comments
Researchers from MIT have utilized deep learning, a form of artificial intelligence, to find a class of compounds that can kill drug-resistant bacteria, specifically methicillin-resistant Staphylococcus aureus (MRSA). The significance of their research is that these compounds have low toxicity against human cells, making them suitable candidates for therapeutic drugs. Crucially, the researchers can understand the…

Read More

Reviewing MIT’s media presence in 2023

academics, Administration, Alumni/ae, Artificial Intelligence, astronomy and planetary science, Boston and region, Cambridge, Climate change, Community, Computer science and technology, Diversity and inclusion, Education, Faculty, Global, Government, Health sciences and technology, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, MIT Sloan School of Management, Policy, President Sally Kornbluth, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Social justice, Space, Staff, Students, teaching, UncategorizedApril 26, 2024212Views0Likes0Comments

Read More

The language network in the brain has to exert more effort when dealing with complicated and unfamiliar sentences.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedApril 26, 2024216Views0Likes0Comments
Researchers from Massachusetts Institute of Technology (MIT) have conducted a study which demonstrates that sentences with complex grammar or unexpected meaning tend to stimulate the brain's key language processing centers significantly more than straightforward or nonsensical sentences. The study was led by Evelina Fedorenko, an Associate Professor of Neuroscience at MIT, and Greta Tuckute, a…

Read More

+60 12-462 2768
hello@goacademyai.com