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

Applications

Close

STORM: An Artificial Intelligence-backed Writing Platform That Constructs Subject Overviews by Gathering Information and Asking Questions from Different Perspectives.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedJuly 17, 202433Views0Likes0Comments
Creating comprehensive and detailed outlines for long-form articles such as those found on Wikipedia is a considerable challenge due to issues in capturing the full depth of the topic, thus leading to shallow or poorly structured articles. This pivotal problem originates from systems' inability to ask the correct queries and source information from a variety…

Read More

Researchers at UCSD have presented a variational inference framework, referred to as MCD, for determining the primary causal models and tracking down the mixing probability for every single data piece.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 17, 202432Views0Likes0Comments
Researchers are grappling with how to identify cause and effect in diverse time-series data, where a single model can't account for various causal mechanisms. Most traditional methods used for casual discovery from this type of data typically presume a uniform causal structure across the entire dataset. However, real-world data is often highly complex and multi-modal,…

Read More

The Future of AI Software: Will we exist in a world without interfaces?

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 17, 202432Views0Likes0Comments
The landscape for artificial intelligence (AI) is evolving at a rapid pace, with significant changes expected to transform how humans interact with technology. The industry predicts that the traditional front-end application or interface that we currently use may soon become obsolete due to the advanced capabilities of large language models (LLMs) and emergent AI agents. LLMs,…

Read More

Microsoft’s research team has crafted SheetCompressor: A cutting-edge AI framework designed for encoding that efficiently compresses spreadsheets for LLMs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 17, 202436Views0Likes0Comments
Spreadsheet analysis is crucial for managing and interpreting data in the extensive two-dimensional grids used in tools like MS Excel and Google Sheets. However, the large, complex grids often exceed the token limits of large language models (LLMs), making it difficult to process and extract meaningful information. Traditional methods struggle with the size and complexity…

Read More

COCOM: A Potent Context Compression Technique Transforming Context Embeddings for Optimized Response Generation in RAG.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 17, 202437Views0Likes0Comments
For AI research, efficiently managing long contextual inputs in Retrieval-Augmented Generation (RAG) models is a central challenge. Current techniques such as context compression have certain limitations, particularly in how they handle multiple context documents, which is a pressing issue for many real-world scenarios. Addressing this challenge effectively, researchers from the University of Amsterdam, The University of…

Read More

Transforming Cell Analysis: Advanced Phenotyping Made Possible by Integrating Artificial Intelligence and Mass Spectrometry with Deep Visual Proteomics.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 17, 202436Views0Likes0Comments
Deep Visual Proteomics (DVP) is a groundbreaking approach for analyzing cellular phenotypes, developed using Biology Image Analysis Software (BIAS). It combines advanced microscopy, artificial intelligence, and ultra-sensitive mass spectrometry, considerably expanding the ability to conduct comprehensive proteomic analyses within the native spatial context of cells. The DVP method involves high-resolution imaging for single-cell phenotyping, artificial…

Read More

Transforming Cell Study: Advanced Phenotyping through the Integration of Artificial Intelligence and Mass Spectrometry in Deep Visual Proteomics

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 17, 202435Views0Likes0Comments
Deep Visual Proteomics (DVP) is a groundbreaking method that combines high-end microscopy, AI, and ultra-sensitive mass spectrometry for comprehensive proteomic analysis within the native spatial context of cells. By utilizing AI to identify different cell types, this technology allows an in-depth study of individual cells, increasing the precision and effectiveness of cellular phenotyping. The DVP workflow…

Read More

Investigating Resilience: A Comparative Study of Larger Kernel ConvNets, Convolutional Neural Networks (CNNs), and Vision Transformers (ViTs)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 16, 202430Views0Likes0Comments
Robustness plays a significant role in implementing deep learning models in real-world use cases. Vision Transformers (ViTs), launched in the 2020s, have proven themselves to be robust and offer high-performance levels in various visual tasks, surpassing traditional Convolutional Neural Networks (CNNs). It’s been recently seen that large kernel convolutions can potentially match or overtake ViTs…

Read More

H2O.ai has just launched their most recent Open-Weight Compact Language Model, H2O-Danube3, under the Apache v2.0 license.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Small Language Model, Staff, Tech News, Technology, UncategorizedJuly 16, 202440Views0Likes0Comments
Natural Language Processing (NLP) is rapidly evolving, with small efficient language models gaining relevance. These models, ideal for efficient inference on consumer hardware and edge devices, allow for offline applications and have shown significant utility when fine-tuned for tasks like sequence classification or question answering. They can often outperform larger models in specialized areas. One…

Read More

This AI article presents GAVEL, an innovative system that fuses expansive language models with evolutionary algorithms for imaginative game creation.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Tech News, Technology, UncategorizedJuly 16, 202431Views0Likes0Comments
Artificial intelligence (AI) continues to shape and influence a multitude of sectors with its profound capabilities. Especially in video game creation, AI has shown significant strides by admirably handling complex procedures that generally need human intervention. One of the latest breakthroughs in this domain is the development of “GAVEL,” an automated system that leverages large…

Read More

A Genuine Insight into Language Model Optimizers: Functionality and Utility

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 16, 202435Views0Likes0Comments
A team from Harvard University and the Kempner Institute at Harvard University have conducted an extensive comparative study on optimization algorithms used in training large-scale language models. The investigation targeted popular algorithms like Adam - an optimizer lauded for its adaptive learning capacity, Stochastic Gradient Descent (SGD) that trades adaptive capabilities for simplicity, Adafactor with…

Read More

+60 12-462 2768
hello@goacademyai.com