Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning

IBM has launched Threat Detection and Response Services, a solution to address the overwhelming volume of security alerts faced by organizations. Leveraging AI, the system can automatically escalate or close 85% of alerts, allowing security teams…

Neural networks use non-linear activation functions to enable them to model and fit complex functions. The most common activation function is the rectified linear unit (ReLU), but there are others such as sigmoid, tanh, and leaky…

Researchers have developed an algorithm that can rapidly halt a man-in-the-middle cyberattack on an unmanned military robot, with a 99% success rate, when tested in real-time.

Infatica is a notable player in the proxy industry, providing different types of proxy servers for businesses and individuals. This post discusses the top 5 alternatives and competitors to Infatica in 2023.

The rise of LLMs has made the Retrieval Augmented Generation (RAG) framework popular for building question-answering systems. However, without proper tuning and experimentation, these systems may not be reliable in production. This article explores the problems…

The text discusses the feasibility of building a local chatbot using Llama2, LangChain, and Streamlit on a CPU. The author carries out a case study to test the performance of the chatbot and evaluates its limitations.…

Researchers have proposed SMPLer-X, a generalist foundation model for 3D/4D human motion capture from monocular inputs. The model shows impressive generalization capabilities and outperforms previous benchmark results. The research highlights the need for more diverse and…

This article introduces the Builder design pattern in Python and explains its importance in writing clean and reusable code. The Builder pattern is part of the creational design pattern class and simplifies the creation of objects…

The text discusses the challenges faced by the computer vision community and highlights the development of multimodal foundation models with vision and vision-language capabilities. It explores various instructional strategies and introduces important multimodal conceptual frameworks and…

The author discusses using a Bayesian framework to choose between two restaurants based on reviews. Initially, with no reviews, all ratings are equally likely. The author then updates these beliefs based on observed data, using the…

Fine-tuning commercial language models (LLMs) can bypass safety measures and lead to dangerous responses. Researchers found that fine-tuning GPT-3.5 with malicious examples deactivated its safety switch. This raises concerns about the safety and liability of fine-tuned…

Researchers from SLAC National Accelerator Laboratory, Stanford University, MIT, and Toyota Research Institute have developed a new approach using computer vision to analyze X-ray movies of lithium-ion batteries. By analyzing every pixel, they were able to…

Large language models like ChatGPT have the potential to transform various fields but integrating them into real-world products poses challenges. A powerful strategy called retrieval-augmented generation (RAG) has emerged, allowing connection to external information sources for…

AI-driven apps are becoming popular for enhancing professional online images. Apps like Remini, Try It On AI, and AI Suit Up use artificial intelligence to create polished profile photos. While some users find these images to…

Researchers from Microsoft and ETH Zurich have released a dataset called “HoloAssist” to address the challenges of developing AI assistants for real-world tasks. The dataset contains extensive recordings of participants collaborating on physical manipulation tasks, capturing…

Predictive policing uses advanced analytics and machine learning to anticipate crimes before they happen. By analyzing historical crime data and other relevant information, algorithms can identify patterns and hotspots of criminal activity. However, recent investigations have…

MedARC has developed MindEye, an AI model that can analyze fMRI scans and retrieve the exact original image the person was looking at, even if the images are similar. The model can also identify similar images…

Text-to-image diffusion models have dominated generative tasks by producing high-quality outcomes. Recently, image-to-image transformation tasks have been guided by diffusion models with external image conditions. However, the iterative and time-consuming nature of diffusion models limits their…

Discover the quick and simple method for running Nougat using only a few lines of code.

Diffusion models have gained attention in the AI community for their ability to reverse the process of turning data into noise and understand complex data distributions. While they excel in some areas, they have limitations in…