Skip to content Skip to sidebar Skip to footer

Artificial Intelligence

JP Morgan AI Research has unveiled FlowMind, an innovative machine learning method that utilizes the functions of language models like GPT to develop a system for generating workflows automatically.

In the world of automated processes in modern industries, a new advancement has been introduced named FlowMind by JP Morgan AI Research. This research's primary focus is on implementing methods of automating tasks that require flexibility and spontaneous decision-making, unlike the conventional robotic process automation (RPA) systems that handle more static and routine activities. Traditional RPA…

Read More

Top 10 Understandable AI (XAI) Platforms

The burgeoning complexity of AI systems, particularly opaque models like Deep Neural Networks (DNNs), has underlined the importance of transparency and comprehensibility in decision-making processes. Specifically, as black-box models become widespread, stakeholders in AI are seeking insights into decision justifications that could be crucial in areas such as medicine and autonomous vehicles. As a result,…

Read More

MIT researchers suggest ‘MAIA’: An AI system that leverages Neural Network Models to streamline the comprehension tasks of Neural Models.

Researchers from the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) have introduced a system called Multimodal Automated Interpretability Agent (MAIA). It has been developed to address the challenge of understanding the complexities of neural models, most notably in the field of computer vision. The development and interpretation of these complex…

Read More

Comprehending Essential Terms within the Extensive Language Model (LLM) Domain

Understanding the terminology and mechanisms behind Large Language Models (LLMs) is essential for venturing into the broader AI landscape. LLMs are sophisticated AI systems primed on vast text datasets to comprehend and produce text with human-like nuance and context. They deploy deep learning techniques to process and generate contextually appropriate language. High-profile examples of LLMs…

Read More

Sup3rCC: A Publicly Available Machine Learning Model Predicting Future Climatic Situations and Its Effects on Renewable Energy Sources

Transitioning to renewable energy is critical for global sustainability, but understanding how climate change affects these resources presents a complex challenge. Preparing for future energy needs requires accurate prediction models that account for changing weather dynamics due to climate change. Unfortunately, existing data are often too indistinct or insufficient to adequately predict the specific effects…

Read More

An adaptable approach to assist animators in enhancing their artwork.

A new technique developed by MIT researchers aims to give artists more control over their animations. The approach, which generates barycentric coordinates, allows artists to define how 2D and 3D shapes can bend, stretch, and move in space and creates an artifact that fits their vision better. This is a departure from available techniques which…

Read More

Media Coverage of MIT: A Review of the Year 2023

Read More