Artificial Intelligence
The research introduces VeRA, a novel method that reduces the number of trainable parameters for language models while maintaining performance levels. By focusing on all linear layers and utilizing quantization techniques and a cleaned dataset, VeRA achieves enhanced instruction-following capabilities. The evaluation demonstrates VeRA’s superior performance compared to the conventional LoRA approach, making it a…
A report by Oxford University Press reveals that nearly 49% of teachers feel unprepared for the impact of artificial intelligence (AI) on education. They call for more assistance in preparing students for an AI-driven future. The report emphasizes the need for government support in ensuring responsible and effective use of AI in schools. Nigel Portwood,…
The Vision Language Model (VLM) is an advanced AI system that combines natural language understanding with image recognition. Researchers from Google have developed a new model called PaLI-3, which outperforms larger models in tasks like localization and text understanding. The study highlights the benefits of contrastive pre-training for VLMs and emphasizes the need for further…
Researchers have discovered that artificial neural networks designed to mimic human perception often exhibit invariances that do not match those found in human sensory perception. Model metamers, synthetic stimuli with similar activations to natural images or sounds, revealed significant differences between the invariances of computational models and human perception. This research highlights the challenges of…
UCSD and Microsoft researchers have developed COLDECO, a tool for inspecting code generated by large language models (LLMs) in spreadsheets. This tool aims to address the challenge of accuracy and trust in LLM-generated code by providing end-user inspection features, such as decomposing the solution into intermediate helper columns and highlighting interesting cases in summary rows.…
The research paper introduces 4K4D, a method for real-time view synthesis of dynamic 3D scenes at 4K resolution. It uses a 4D point cloud representation and acceleration techniques to improve rendering speed. 4K4D achieves state-of-the-art rendering quality and is 30 times faster than existing methods. However, it has limitations in storage requirements and establishing point…
Google’s Pixel 8 and Pixel 8 Pro smartphones offer AI-powered image editing capabilities, allowing users to refine facial expressions and edit features in photos. The AI can blend facial expressions from other images in the camera roll to create the “Best Take.” The Magic Editor feature intelligently fills in removed elements in photos. While some…
Researchers at Klick Labs have developed a machine learning model that can detect Type 2 diabetes from a 6 to 10 second voice recording with up to 89% accuracy for women and 86% accuracy for men. The method analyzes acoustic features in the voice and can potentially transform diabetes screening. The researchers believe this technology…
Learn how to create Clarifai Workflows using Python SDK and YAML configurations in this tutorial.
Researchers from Google Research, the University of Texas at Austin, the University of Washington, and Harvard University have introduced MatFormer—a Transformer architecture designed for adaptability. MatFormer allows for the generation of numerous smaller submodels without additional training costs by incorporating a nested sub-structure within the standard Transformer. This approach enables the production of accurate smaller…
Reddit is considering blocking search engine crawlers like Google and Bing due to disputes with AI companies over payment for its data. Initially dismissing the report, Reddit later clarified that user logins were the only thing not changing. If no deals are made with AI companies, Reddit posts may be invisible in search results, impacting…
The article discusses the versatility of the Raspberry Pi as a single-board computer capable of handling various tasks.
Computer graphics and 3D computer vision groups have been working on creating realistic models for various industries, including visual effects, gaming, and virtual reality. Generative AI systems have revolutionized visual computing by enabling the creation and manipulation of photorealistic media. Foundation models for visual computing, such as Stable Diffusion and DALL-E, have been trained on…
Detecting multicollinearity in data sets is both important and challenging.
PyrOSM is a package that allows for efficient geospatial manipulations of Open Street Map (OSM) data. It uses Cython and faster libraries to process OSM data quickly. The package supports features like buildings, points of interest, street networks, custom filters, and exporting as networks. PyrOSM also provides better filtering options and allows for network processing…
This text discusses advanced ETL techniques for beginners.
The article discusses the concept of Transformer distillation in large language models (LLMs) and focuses on the development of a compressed version of BERT called TinyBERT. The distillation process involves teaching the student model to imitate the output and inner behavior of the teacher model. Various components, such as the embedding layer, attention layer, and…
AI technology is facing challenges in monetization due to escalating costs. Companies like Microsoft, Google, and Adobe are experimenting with different approaches to create, promote, and price their AI offerings. These costs also affect enterprise users and can lead to high prices for AI workloads. Different strategies for AI monetization include enhancing productivity, hardware sales,…
Salesforce Research has developed CodeChain, a framework that bridges the gap between Large Language Models (LLMs) and human developers. CodeChain encourages LLMs to write modularized code by using a chain-of-thought approach and reusing pre-existing sub-modules. This improves the modularity and accuracy of the code generated by LLMs, leading to significant improvements in code generation performance.
Researchers have developed DeepMB, a deep-learning framework that enables real-time, high-quality optoacoustic imaging in medical applications. By training the system on synthesized optoacoustic signals, DeepMB achieves accurate image reconstruction in just 31 milliseconds per image, making it approximately 1000 times faster than current algorithms. This breakthrough could revolutionize medical imaging, allowing clinicians to access high-quality…