Artificial Intelligence
Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have developed a groundbreaking approach to materials research using neural implicit representations. Unlike previous methods, which relied on image-based data representations, this approach uses coordinates as inputs to predict attributes based on their spatial position. The model’s adaptability and real-time analysis capabilities have the potential…
Multimodal graph learning is a multidisciplinary field that combines machine learning, graph theory, and data fusion to address complex problems involving diverse data sources. It can generate descriptive captions for images, improve retrieval accuracy, and enhance perception in autonomous vehicles. Researchers at Carnegie Mellon University propose a framework for multimodal graph learning that captures information…
The author outlines five essential touchpoints for finding a balance between focus time and collaboration within a data science or data analytics team. These touchpoints include a morning standup meeting, a Friday “Work In Progress” presentation, a monthly Data Science team meeting, individual one-on-one meetings, and a department team meeting. These touchpoints foster focus, communication,…
This text introduces a new approach to combining conversational AI and graphical user interface (GUI) interaction in mobile apps. It describes the concept of a Natural Language Bar that allows users to interact with the app using their own language. The article provides examples and implementation details for developers. The Natural Language Bar can be…
Large language models (LLMs) have become widely used, but they also pose ethical and legal risks due to the potentially problematic data they have been trained on. Researchers are exploring ways to make LLMs forget specific information or data. One method involves fine-tuning the model with the text to be forgotten, penalizing the model when…
This text explores different perspectives on change in a data organization. Alex, the CDO, focuses on driving business value and staying ahead of market shifts, while Jamie, a data engineer, is more concerned with day-to-day challenges and keeping things running smoothly. The article emphasizes the importance of transparency, collaboration, and standardization in managing change effectively.…
Researchers from KAIST have introduced SYNCDIFFUSION, a module that aims to improve the generation of panoramic images using pretrained diffusion models. The module addresses the problem of visible seams when stitching together multiple images. It synchronizes multiple diffusions using gradient descent based on a perceptual similarity loss. Experimental results show that SYNCDIFFUSION outperforms previous techniques,…
Researchers have developed ScaleCrafter, a method that enables the generation of ultra-high-resolution images using pre-trained diffusion models. By dynamically adjusting the convolutional receptive field, ScaleCrafter addresses issues like object repetition and incorrect object topologies. It also introduces innovative strategies like dispersed convolution and noise-damped classifier-free guidance. The method has been successfully applied to a text-to-video…
Jupyter Notebooks are widely used in Python-based Data Science projects. Several magic commands enhance the notebook experience. These commands include “%%ai” for conversing with machine learning models, “%%latex” for rendering mathematical expressions, “%%sql” for executing SQL queries, “%run” for running external Python files, “%%writefile” for quick file creation, and “%history -n” for retrieving previous commands.…
The Curse of Dimensionality refers to the challenges that arise in machine learning when dealing with problems that involve thousands or millions of dimensions. This can lead to skewed interpretations of data and inaccurate predictions. Dimensionality reduction techniques, such as Principal Component Analysis (PCA), can help mitigate these challenges by reducing the number of features…
Meesho, an ecommerce company in India, has developed a generalized feed ranker (GFR) using AWS machine learning services to personalize product recommendations for users. The GFR considers browsing patterns, interests, and other factors to optimize the user experience. Meesho used Amazon EMR with Apache Spark for model training and SageMaker for model deployment. The implementation…
Facebook AI Research (FAIR) introduces Habitat 3.0, a virtual training ground for building AI agents that understand their environment and collaborate with humans. Habitat 3.0 allows robots and virtual humans to complete tasks in a digital environment, providing a safer and faster alternative to real-world training. FAIR also released the Habitat Synthetic Scenes Dataset (HSSD-200)…
China’s Zhipu AI, a startup founded by a professor from Tsinghua University, has raised 2.5 billion yuan ($340 million) in funding. The company has released a bilingual AI model, ChatGLM-6B, that understands Chinese and English, as well as a larger open-source model, the GLM-130B. Zhipu AI aims to compete with global AI giants and has…
Google recently introduced a search feature called Search Generative Experience (SGE), which uses generative AI to provide summarized answers to search queries. While Google aims to improve user experience, media publishers are concerned about the lack of credit and compensation for their content. SGE’s summaries sometimes use information from publishers’ websites without proper accreditation. Publishers…
This week’s AI news highlights various topics. Google and Cambridge’s Centre for Human-Inspired AI collaborate to make AI safer. China and the UK hold AI Summit despite recent tensions. Baidu claims Ernie Bot matches GPT-4. AI can extract personal data from chat interactions, while AI companies struggle with transparency and alignment guardrails. AI aids in…
ChatGPT, the popular AI tool, has gained significant popularity. While the free version, ChatGPT 3.5, has limitations, there are ways to access the ChatGPT Plus (GPT-4) version for free. Options include using Bing AI Chat, Hugging Face Spaces, Poe AI, Phind, and Ora AI. Each platform has its own usage restrictions and features.
Large language models, such as GPT, have shown exceptional performance in text-related tasks. However, efforts are being made to teach them how to comprehend and use other forms of information, such as sounds and images. Microsoft researchers have developed DeepSpeed-VisualChat, an advanced framework that enhances multi-modal capabilities and scalability in dialogue systems. The framework uses…
Recent advancements in human motion capture have made it possible to capture motion from RGB photos and films using affordable devices. This opens up opportunities for motion capture in various industries, including sports. However, there are challenges in using computer vision-based motion capture for swimming due to the unique nature of aquatic data. Researchers have…
Companies are increasingly using user-generated images and videos for engagement, but managing inappropriate content can be a challenge. Amazon Rekognition offers pre-trained and customizable AI capabilities for content moderation. With the new Custom Moderation feature, companies can enhance the accuracy of the moderation model and tailor it to their specific needs. The feature allows for…
The text discusses the HyperHuman framework for generating hyper-realistic human images. It utilizes a large dataset and a Latent Structural Diffusion Model to improve image quality and coherence. The framework demonstrates superior performance and robustness compared to previous models. Future research can explore text-to-pose generation using deep priors.