Machine learning Archives - Page 63 of 99

Scientists from Stanford University and Amazon have collaborated to develop STARK, a large-scale semi-structured artificial intelligence benchmark that works on text and relational knowledge databases.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 2, 202436Views 0Likes 0Comments

As parents, we try to select the perfect toys and learning tools by carefully matching child safety with enjoyment; in doing so, we often end up using search engines to find the right pick. However, search engines often provide non-specific results which aren't satisfactory. Recognizing this, a team of researchers have devised an AI model named…

The brain’s language network has to exert more effort when dealing with sentences that are intricate and unknown.

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, UncategorizedMay 2, 202444Views 0Likes 0Comments

Researchers from MIT have been using a language processing AI to study what type of phrases trigger activity in the brain's language processing areas. They found that complex sentences requiring decoding or unfamiliar words triggered higher responses in these areas than simple or nonsensical sentences. The AI was trained on 1,000 sentences from diverse sources,…

A new perspective on the U-Net Architecture, seen through generative hierarchical models, has been revealed by investigators at UC Berkeley.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 2, 202445Views 0Likes 0Comments

The brain’s language network has to put in more effort when dealing with complex 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, UncategorizedMay 2, 202444Views 0Likes 0Comments

Scientists from MIT have used an artificial language network to investigate the types of sentences likely to stimulate the brain's primary language processing areas. The research shows that more complicated phrases, owing to their unconventional grammatical structures or unexpected meanings, generate stronger responses in these centres. However, direct and obvious sentences prompt barely any engagement,…

Investigating Efficient Parameter Adjustment Approaches for Comprehensive Language Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 1, 202436Views 0Likes 0Comments

Large Language Models (LLMs) represent a significant advancement across several application domains, delivering remarkable results in a variety of tasks. Despite these benefits, the massive size of LLMs renders substantial computational costs, making them challenging to adapt to specific downstream tasks, particularly on hardware systems with limited computational capabilities. With billions of parameters, these models…

Maintaining Equilibrium between Innovation and Rights: A Collaborative Game Theory Strategy for Copyright Handling in AI based Creative Technologies.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 1, 202437Views 0Likes 0Comments

Generative artificial intelligence's (AI) ability to create new text, images, videos, and other media represents a huge technological advancement. However, there's a downside: generative AI may unwittingly infrive on copyrights by using existing creative works as raw material without the original author's consent. This poses serious economic and legal challenges for content creators and creative…

Meta AI Presents CyberSecEval 2: A New Machine Learning Standard to Measure Security Threats and Abilities in LLM

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 1, 202435Views 0Likes 0Comments

Large language models (LLMs) are increasingly in use, which is leading to new cybersecurity risks. The risks stem from their main characteristics: enhanced capability for code creation, deployment for real-time code generation, automated execution within code interpreters, and integration into applications handling unprotected data. It brings about the need for a strong approach to cybersecurity…

Intricate and unfamiliar phrases require more effort from the brain’s language processing system.

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, UncategorizedMay 1, 202439Views 0Likes 0Comments

With the assistance of an artificial language network, MIT neuroscientists have discovered what types of sentences serve to stimulate the brain's primary language processing regions. In a study published in Nature Human Behavior, they revealed that these areas respond more robustly to sentences that display complexity, either due to unconventional grammar or unexpected meaning. Evelina Fedorenko,…

Hippocrates: A Comprehensive Machine Learning Framework for Developing Advanced Language Models for Healthcare using Open-Source Technology

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 1, 202434Views 0Likes 0Comments

Artificial Intelligence (AI) is significantly transforming the healthcare industry, addressing challenges in areas such as diagnostics and treatment planning. Large Language Models (LLMs) are emerging as a revolutionary tool in this sector, capable of deciphering and understanding complex health data. However, the intricate nature of medical data and the need for accuracy and efficiency in…

REBEL: An Algorithm for Reinforcement Learning (RL) Diminishes the Complexity of RL by Converting it into Successfully Tackling a Series of Relative Reward Regression Challenges on Sequentially Compiled Datasets.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Reinforcement Learning, Staff, Tech News, Technology, UncategorizedMay 1, 202436Views 0Likes 0Comments

Proximal Policy Optimization (PPO), initially designed for continuous control tasks, is widely used in reinforcement learning (RL) applications, like fine-tuning generative models. However, PPO's effectiveness is based on a series of heuristics for stable convergence, like value networks and clipping, adding complexities in its implementation. Adapting PPO to optimize complex modern generative models with billions of…