Artificial Intelligence
Developed by an international research team, PepCNN is a deep learning model that predicts protein-peptide binding with higher accuracy than previous tools. Using structural, sequence, and language model features, it excels in specificity, precision, and AUC metrics for better drug discovery and understanding protein-peptide interactions. Further improvements are planned using DeepInsight technology.
NeRF models scenes in 3D and learns from various viewpoints to create photorealistic images. Researchers from Sungkyunkwan University improved efficiency with a mask strategy, reducing memory requirements and increasing speed. Point-based rendering enhancements and ongoing research promise to further advance realistic 3D applications. Credit goes to the researchers and is shared via various online AI…
Researchers released MediTron, an open-source medical LLM suite with 7B and 70B parameter variants, excelling in benchmarks and tailored for tasks like medical QA. It uses an extensive medical dataset for training but requires further testing before clinical deployment to ensure safety.
Microsoft researchers developed MAIRA-1, a model combining a chest X-ray-specific image encoder with a fine-tuned language model to generate accurate radiology reports. It leverages data augmentation and evaluation metrics tailored to clinical relevance to improve report quality. Future enhancements may include incorporating study histories to reduce inaccuracies.
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.