Researchers from Northeastern University, MIT, and an independent researcher developed Concept Sliders for text-to-image diffusion models, allowing fine-grained image control and editing. This method enables manipulation of visual concepts that are usually hard to describe in words and offers a practical, disentangling solution for more precise image customization through open-source code and trained sliders.
Artists seeking copyright infringement claims against Stability AI and others have refiled their lawsuit with seven additional plaintiffs. The original case was dismissed, but Judge William Orrick allowed for an amended resubmission. The updated lawsuit uses comments by Stability AI’s CEO and concerns over derivative works and AI’s use of copyrighted data to bolster its…
PGXMAN is a package manager for Postgres extensions, streamlining installation, update, and management processes. It handles dependencies automatically, saving developers time and effort. Installation is easy via pip, and a supportive community further enhances its utility. For more information, visit https://pgxman.com/.
Researchers from Microsoft and Georgia Tech developed TongueTap, a wearable tech interface that uses tongue gestures to control devices without hands or eyes. It combines data from IMUs and PPG sensors in headsets for gesture recognition with 80-94% accuracy, promising improvements for AR interactions.
RAGs, an application by Streamlit, simplifies GPT pipeline creation and deployment with an intuitive interface. The latest version, RAGs v2, enhances user experience with features for building and customizing ChatGPTs, managing RAG pipelines, and supporting multiple large language models. To use it, install with ‘pip,’ create pipelines, deploy, and query via command line. It’s a…
The study by Shanghai Jiao Tong University, Amazon, and Yale explores Chain-of-Thought reasoning in language models, examining its impact on the development and reliability of language agents. It investigates CoT techniques and verification methods, offering insights for both new and seasoned researchers in language intelligence.
UC Berkeley researchers have developed ALIA, an innovative language-guided image augmentation technique that improves dataset variety and classification model performance in fine-grained image tasks without extensive fine-tuning. It uses natural language to generate domain-specific image edits and employs filtering to maintain visual consistency, showing a significant enhancement over traditional methods in experiments.
Porto Alegre’s council passed a law written entirely by ChatGPT on stolen water meter charges, unveiled by Councilman Ramiro Rosário after unanimous approval. His nondisclosure aimed to provoke AI usage debates in legislation, amidst similar AI legislative efforts globally, stirring discussions on transparency and AI’s future role in governance.
Amazon’s AI chatbot, Amazon Q, has allegedly leaked sensitive internal information including AWS data centers and unreleased features. While Amazon denies security breaches, internal Slack communications show employee concerns. This leak is unconfirmed but follows past secrecy about Amazon data center locations and echoes previous AI errors like Google’s Bard.
The Johns Hopkins University team developed an algorithm for matching celestial bodies across different sky surveys. The program accurately compares massive datasets, considering position, brightness, and color, to identify identical astronomical objects, improving data integration for space research.
The study introduces ‘ImMesh,’ a SLAM framework by The University of Hong Kong and the Southern University of Science and Technology for real-time, large-scale mesh reconstruction using a CPU. It efficiently combines localization and meshing using LiDAR, with exemplary runtime performance and accuracy, although scalability and loop correction are limitations.
Researchers at the Allen Institute for AI developed SPECTER2, a new scientific document embedding model that outperforms previous models like SPECTER and SciNCL. SPECTER2 uses a novel two-step training process, incorporating format-specific adapters, and is trained on diverse datasets across multiple scientific fields, resulting in enhanced adaptability and performance.
The article explains the soft nearest neighbor loss (SNNL) for learning dataset class neighborhoods. SNNL enhances representation learning, crucial for tasks like classification and generation, by minimizing distances between similar data points and maximizing them for different ones. It improves upon previous methods like PCA, LLE, NCA, and t-SNE by introducing nonlinearity and optimization across…
This text introduces a beginner-friendly guide focused on discrete optimization in Python, aimed at readers of the “Towards Data Science” platform.
Machine learning issues are fundamentally data problems, emphasizing the need for time investment in data comprehension and cleaning to ensure effective solutions.
Researchers developed a device that enables soft robots and wearables to detect various mechanical forces and temperature changes through color-based sensing, advancing autonomous capabilities.
Experts in electronic nanomaterials envision AI and ML facilitating scientific brainstorming. They’ve created a chatbot with expertise in their scientific field to aid in ideation.
OpenAI has delayed the launch of its custom GPT store from late 2023 to early 2024 due to internal changes, including CEO Sam Altman’s temporary ousting. The company is using the additional time to refine the AI products based on feedback, despite some employees’ unrest.
This article provides a detailed guide to implementing version control in Machine Learning Operations (MLOps), accessible through the Towards Data Science platform.
Google Research and UIUC have developed ZipLoRA, a new AI method that improves personalized creations in text-to-image diffusion models by merging independently trained style and subject LoRAs. It promises enhanced control, effectiveness, and style fidelity and excels at image stylization tasks.