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

AI Shorts

Close

Scientists at Northeastern University suggest NeuFlow: An extremely effective Optical Flow Structure that tackles both precision and computational cost issues.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 22, 202441Views0Likes0Comments
Optical flow estimation aims to analyze dynamic scenes in real-time with high accuracy, a critical aspect of computer vision technology. Previous methods of attaining this have often stumbled upon the problem of computational versus accuracy. Though deep learning has improved the accuracy, it has come at the cost of computational efficiency. This issue is particularly…

Read More

Google AI introduces PERL, a method that utilizes reinforcement learning efficiently. This technique can train a reward model and refine a language model policy with LoRA.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 22, 202436Views0Likes0Comments
Reinforcement Learning from Human Feedback (RLHF) is a technique that improves the alignment of Pretrained Large Language Models (LLMs) with human values, enhancing their usefulness and reliability. However, training LLMs with RLHF is a resource-intensive and complex task, posing significant obstacles to widespread implementation due to its computational intensity. In response to this challenge, several methods…

Read More

IBM and Princeton’s AI research introduces Larimar, a unique, brain-based machine learning structure designed to improve Long-lived machines (LLMs) through a disseminated episodic memory.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 22, 202438Views0Likes0Comments
Enhancing Large Language Models (LLMs) capabilities remains a key challenge in artificial Intelligence (AI). LLMs, digital warehouses of knowledge, must stay current and accurate in the ever-evolving information landscape. Traditional ways of updating LLMs, such as retraining or fine-tuning, are resource-intensive and carry the risk of catastrophic forgetting, which means new learning can override valuable…

Read More

Microsoft’s latest AI-driven Copilot Plugins transform efficiency throughout Office.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Tech News, Technology, UncategorizedMarch 22, 202441Views0Likes0Comments
Microsoft is taking significant steps to more deeply incorporate artificial intelligence (AI) into the workplace. They have introduced an array of new plugins, collectively known as Copilot, which aim to enhance the user experience across its Office suite of products, including Word, Excel, PowerPoint, and Outlook. The new plugins, which essentially function as a ChatGPT for…

Read More

Agent-FLAN: Transforming AI Through Advanced Broad Language Model Agents + Boosted Performance, Efficiency, and Dependability.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 22, 202438Views0Likes0Comments
The field of large language models (LLMs), a subset of artificial intelligence that attempts to mimic human-like understanding and decision-making, is a focus for considerable research efforts. These systems need to be versatile and broadly intelligent, which means a complex development process that can avoid "hallucination", or the production of nonsensical outputs. Traditional training methods…

Read More

This AI Document from KAIST AI Introduces ORPO: Taking Preference Alignment in Language Models to Unprecedented Levels.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 21, 202429Views0Likes0Comments
KAIST AI's introduction of the Odds Ratio Preference Optimization (ORPO) represents a novel approach in the field of pre-trained language models (PLMs), one that may revolutionize model alignment and set a new standard for ethical artificial intelligence (AI). In contrast to traditional methods, which heavily rely on supervised fine-tuning (SFT) and reinforcement learning with human…

Read More

Apple’s researchers propose ReDrafter: a new technique to enhance the efficiency of large language models using speculative decoding and recurrent neural networks.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 21, 202441Views0Likes0Comments
The emergence of large language models (LLMs) is making significant advancements in machine learning, offering the ability to mimic human language which is critical for many modern technologies from content creation to digital assistants. A major obstacle to progress, however, has been the processing speed when generating textual responses. This is largely due to the…

Read More

VideoElevator: An AI Approach Requiring no Training that Improves Synthesized Video Quality Using Adaptable Text-to-Image Diffusion Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 21, 202428Views0Likes0Comments
Generative modeling, the process of using algorithms to generate high-quality, artificial data, has seen significant development, largely driven by the evolution of diffusion models. These advanced algorithms are known for their ability to synthesize images and videos, representing a new epoch in artificial intelligence (AI) driven creativity. The success of these algorithms, however, relies on…

Read More

The University of Sydney’s AI publication suggests EfficientVMamba: An Effective Balance between Accuracy and Efficiency in Compact Visual State Space Models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 21, 202436Views0Likes0Comments
Researchers from The University of Sydney have introduced EfficientVMamba, a new model that optimizes efficiency in computer vision tasks. This groundbreaking architecture effectively blends the strengths of Convolutional Neural Networks (CNNs) and Transformer-based models, known for their prowess in local feature extraction and global information processing respectively. The EfficientVMamba approach incorporates an atrous-based selective scanning…

Read More

Google Health researchers suggest HEAL: A established procedure for quantitatively evaluating the fairness of performance in Machine Learning-based Health Technologies.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Technology, UncategorizedMarch 21, 202439Views0Likes0Comments
The pervasiveness of health disparities around the world continues to be a pervasive problem. Factors such as limited access to healthcare, varied clinical treatment, and inconsistencies in diagnostic capabilities feed into the difficulties in achieving health equity globally. The introduction of artificial intelligence (AI) into healthcare has the potential to tackle these challenges, but careful…

Read More

FouriScale: A Unique AI Technique Improving the Production of High Resolution Images with Previously Trained Diffusion Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 21, 202440Views0Likes0Comments
High-resolution image synthesis has always been a challenge in digital imagery due to issues such as the emergence of repetitive patterns and structural distortions. While pre-trained diffusion models have been effective, they often result in artifacts when it comes to high-resolution image generation. Despite various attempts, such as enhancing the convolutional layers of these models,…

Read More

+60 12-462 2768
hello@goacademyai.com