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

Uncategorized

Close

Scholars from the University of Maryland and NYU have developed an AI system designed to comprehend and isolate style indicators from visual elements.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 6, 202470Views0Likes0Comments
Researchers from New York University, ELLIS Institute, and the University of Maryland have developed a model, known as Contrastive Style Descriptors (CSD), that enables a more nuanced understanding of artistic styles in digital artistry. This has been done with the aim of deciphering whether generative models like Stable Diffusion and DALL-E are merely replicating existing…

Read More

Improving Video AI by Utilizing Intelligent Caption-Based Rewards

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 6, 202470Views0Likes0Comments
Machine learning researchers have developed a cost-effective reward mechanism to help improve how language models interact with video data. The technique involves using detailed video captions to measure the quality of responses produced by video language models. These captions serve as proxies for actual video frames, allowing language models to evaluate the factual accuracy of…

Read More

Weco AI Introduces ‘AIDE’: An AI Assistant Capable of Independently Tackling Data Science Assignments at Par with Human Performance.

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, New Releases, Open Source Projects, Tech News, Technology, UncategorizedApril 6, 202466Views0Likes0Comments
Weco AI, a leading entity in the Artificial Intelligence (AI) industry, recently launched an innovation called AIDE, an AI agent that can handle data science tasks as efficiently as a human. In a breakthrough moment, AIDE successfully performed at a human level in the renowned Kaggle competitions, an established platform for testing the abilities of…

Read More

Poro 34B: An AI Model with a 34B Parameter, Developed for 1 Trillion Tokens Including English, Finnish, and Programming languages, with a Special Focus on 8 Billion Tokens of Finnish-English Translation Pairs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 6, 202469Views0Likes0Comments
The increasingly sophisticated language models of today need vast quantities of text data for pretraining, often in the order of trillions of words. This poses a considerable problem for smaller languages that lack the necessary resources. To tackle this issue, researchers from the TurkuNLP Group, the University of Turku, Silo AI, the University of Helsinki,…

Read More

This theoretical review on neural network structures using Topos Theory is presented in the Artificial Intelligence Paper from King’s College London.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 6, 202462Views0Likes0Comments
Researchers at King's College London have conducted a study that delves into the theoretical understanding of transformer architectures, such as the model used in ChatGPT. Their goal is to explain why this type of architecture is so successful in natural language processing tasks. While transformer architectures are widely used, their functional mechanisms are yet to…

Read More

The ‘Self-Critique’ pipeline, an innovative approach to mathematical problem solving in broad language models, has been unveiled by scientists at Zhipu AI and Tsinghua University.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 6, 202470Views0Likes0Comments
Large language models (LLMs) have received much acclaim for their ability to understand and process human language. However, these models tend to struggle with mathematical reasoning, a skill that requires a combination of logic and numeric understanding. This shortcoming has sparked interest in researching and developing methods to improve LLMs' mathematical abilities without downgrading their…

Read More

What is the Connection between Generative Retrieval and Multi-Vector Dense Retrieval?

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 6, 202474Views0Likes0Comments
With an increase in the adoption of pre-trained language models in recent years, the use of neural-based retrieval models has been on the rise. One of these models is Dense Retrieval (DR), known for its effectiveness and impressive ranking performance on several benchmarks. In particular, Multi-Vector Dense Retrieval (MVDR) employs multiple vectors to describe documents…

Read More

Google’s AI showcases innovative standards in video analysis through its Streaming Dense Captioning model.

AI Shorts, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 6, 202473Views0Likes0Comments
Google researchers have developed a new streaming dense video captioning model which aims to improve on previous methods by enabling localized identification of events within a video and real-time generation of appropriate captions for them. Existing practices are hindered by limited frame processing, causing incomplete or inadequate video descriptions. The existing dense video captioning models have…

Read More

Introducing ‘LangChain Financial Agent’: A Fintech Venture Powered by AI, Constructed on Langchain and FastAPI

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, Open Source Projects, Staff, Tech News, Technology, UncategorizedApril 6, 202463Views0Likes0Comments
In a world full of investment opportunities, choosing the right one requires having access to accurate financial data and understanding complex financial metrics. Both seasoned and new investors face challenges in obtaining this information and staying up-to-date with the latest financial news. While there are a plethora of tools and services designed to provide this…

Read More

The automated platform instructs users about the appropriate time to partner with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 6, 202465Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that teaches users when to trust AI and when to ignore it, and it has already led to an approximately 5% increase in accuracy during image prediction tasks. The researchers designed a customised onboarding process, which is when the user is familiarized…

Read More

A team from MIT publishes research papers on the management of AI.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 6, 202472Views0Likes0Comments
A group of scholars from the Massachusetts Institute of Technology (MIT) has outlined a governance framework for artificial intelligence (AI). The initiative aims to educate U.S. lawmakers on the implementation of AI regulations that can enhance their leadership in the field, minimize any potential harm, and promote beneficial practices. The main policy paper, titled "A…

Read More

A computer expert is advancing the limits of geometry.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 6, 202477Views0Likes0Comments
Over 2,000 years ago, Euclid, a Greek mathematician often referred to as the father of geometry, fundamentally transformed our understanding of shapes. Today, Justin Solomon, a professor at MIT's Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), employs contemporary geometric approaches to tackle complex…

Read More

+60 12-462 2768
hello@goacademyai.com