Deep Learning

WordPress is just another area artificial intelligence (AI) has positively impacted. Yes! Much artificial intelligence (AI) WordPress plugins exist nowadays to facilitate the work of WordPress users. AI is assisting virtually every aspect of business, from...
Despite the growing variety of alternative technologies, passwords remain the preferred authentication method. This is mostly because passwords are simple to use and remember. Furthermore, most programs use passwords as a backup plan if other security...

Meet Surv_ai: An Open Source Framework for Modeling and Comparative Analysis Using AI Agents

We have used generative models such as ChatGPT at least once. If you still haven’t, you should. It is imperative to understand what we...

Agents, Assemble! Meet AutoNeRF: An AI Approach Designed to Use Autonomous Agents to Generate Implicit Scene NeRFs

Drones and robots. They are becoming increasingly popular in recent years, with advances in technology making them more accessible and capable than ever before....

Creating Detailed 3D Models from Images: How AI Frameworks are Changing the Game

Three-dimensional (3D) modeling has become critical in various fields, such as architecture and engineering. 3D models are computer-generated objects or environments that can be...

Tracking through Containers and Occluders in the Wild- Meet TCOW: An AI Model that can Segment Objects in Videos with a Notion of Object...

Many open-source projects have developed comprehensive linguistic models that can be trained to carry out specific tasks. These models can provide useful responses to...

MIT Researchers Propose AbMAP: A Protein Language Model (PLM) Customized For Antibodies

Some of the most promising medication candidates in current therapies have been antibodies. The incredible structural diversity of antibodies, which enables them to recognize...

A machine-learning method developed at MIT detects internal structures, voids, and cracks inside a material based on data

In the current engineering paradigm, identifying the internal microstructure of a material is difficult because only material responses from indirect measurements at boundaries or...

A new AI theoretical framework to analyze and bound information leakage from machine learning models

ML algorithms have raised privacy and security concerns due to their application in complex and sensitive problems. Research has shown that ML models can...

Revolutionizing the Protein Landscape: MIT Researchers Harness AI to Engineer Unprecedented Bio-Molecules

MIT researchers have created machine learning algorithms to create novel proteins beyond those in nature. They employed generative models to predict the amino acid...

This AI Paper From NVIDIA Provides The Recipe To Reproduce RETRO Up To 9.5B Parameters While Retrieving A Text Corpus With 330B Tokens

Large language models, such as masked LMs, autoregressive LMs, and encoder-decoder LMs, BART), have shown cutting-edge results for various NLP problems. Among these, autoregressive...

Meet MiniGPT-4: An Open-Source AI Model That Performs Complex Vision-Language Tasks Like GPT-4

GPT-4 is the latest Large Language Model that OpenAI has released. Its multimodal nature sets it apart from all the previously introduced LLMs. GPT's...

Researchers Explore Foundation Models For Generalist Medical Artificial Intelligence

Foundation models are capable of being applied to a wide variety of downstream tasks after being trained on large and varied datasets. From textual...

Breaking Down AutoGPT: What It Is, Its Features, Limitations, Artificial General Intelligence (AGI) And Impact of Autonomous Agents on Generative AI

Introduction  Generative AI is evolving and getting popular. Since its introduction, new models and research papers are getting released almost every other day. The major...

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