Announcing Amazon Nova customization in Amazon SageMaker AI
aws.amazon.com·20h
📡RSS Automation
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
arxiv.org·7h
💻Programming languages
BlueGlass: A Framework for Composite AI Safety
arxiv.org·2d
🔒WASM Capabilities
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
arxiv.org·2d
🧠Machine Learning
A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
arxiv.org·7h
🎧Vorbis Encoding
CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
arxiv.org·7h
🎬AV1 Encoding
Now make a landing page design with Google AI
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
MultiVox: Benchmarking Voice Assistants for Multimodal Interactions
arxiv.org·1d
🎙️Whisper
Improving Multimodal Learning via Imbalanced Learning
arxiv.org·2d
📊Learned Metrics
Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources
arxiv.org·2d
📸TIFF Archaeology
Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner
towardsdatascience.com·1d
📊Quantization
Understanding the Basics: Linear Equations and Matrices
dev.to·10h·
Discuss: DEV
📐Linear Algebra
The Power of Certainty: How Confident Models Lead to Better Segmentation
arxiv.org·2d
🧠Machine Learning
Agent Memory with Spring AI & Redis
dev.to·15h·
Discuss: DEV
⚡Redis Internals
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation
arxiv.org·7h
🌀Differential Geometry
FADE: Adversarial Concept Erasure in Flow Models
arxiv.org·7h
📊Rate-Distortion Theory
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
arxiv.org·7h
⧗Information Bottleneck
Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems
towardsdatascience.com·13h
💻Local LLMs
Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning
arxiv.org·1d
🌳Context free grammars
Exploring Ghibli Characters Through the Lens of AI: A Dive into Studio Ghibli’s Magic
dev.to·1d·
Discuss: DEV
🇯🇵Japanese Computing