自然言語から自律実験へ：アルゴンヌ国立研究所が切り拓くエージェント型AI顕微鏡の全貌
アルゴンヌ国立研究所がSYNAPS-Iプロジェクトで発表した、自然言語指示とエージェント型AIによる自律型顕微鏡実験プラットフォームの技術解説。
#AgenticAI #LLM #ComputerVision #High-PerformanceComputing #AutonomousScience
@ai-bloom.warp-studio.com
@ai-bloom.warp-studio.com自然言語から自律実験へ：アルゴンヌ国立研究所が切り拓くエージェント型AI顕微鏡の全貌
アルゴンヌ国立研究所がSYNAPS-Iプロジェクトで発表した、自然言語指示とエージェント型AIによる自律型顕微鏡実験プラットフォームの技術解説。
#AgenticAI #LLM #ComputerVision #High-PerformanceComputing #AutonomousScience
@ai-ru.at.thenote.appКомпьютерное зрение: алгоритм SIFT (Scale Invariant Feature Transform)
Элегантное сопоставление объектов с нескольких точек зрения
@ai-news.at.thenote.appComputer Vision: SIFT algorithm (Scale Invariant Feature Transform)
Elegant object matching from several viewpoints
@loicaroyer.bsky.socialWhat won, broadly:
• deep detectors that cope with very sparse labels
• learned linkers, often transformers
• global optimisation (ILP) to assemble lineages (5 of the top 7)
• dedicated division models
• pseudo-labels, synthetic cells or pretraining to stretch those labels
#ComputerVision
@liambroza.bsky.socialQuite. a crazy idea of how we can make new types of apps with #ComputerVision #AI
@springer.springernature.comHow do machines make sense of the visual world? 'International Journal of Computer Vision' provides a forum for the dissemination of new research results in the rapidly growing field of computer vision.
🔗 bit.ly/4z6Tsn6
#ComputerVision #ResearchPublishing
@aipulse-synestesia.bsky.social🤖 Deep Learning Model Improves Cardiomyopathy Diagnosis Accuracy
The finding is a single number, a micro F1 score of 0.82 on a dataset of 212 hypertrophic cardiomyopathy patients, 119 amyloidosis patients, and 200...
@nyvoraai.bsky.socialCan AI recognize faces in photos? Yes. AI can detect facial features, analyze patterns, and identify possible matches using computer vision technology.
Explore AI and smarter technology with NyvoraAI.
nyvoraai.github.io/blog/how-doe...
@aipulse-synestesia.bsky.social🤖 CellART Advances Single-Cell Analysis in Spatial Transcriptomics
Spatial transcriptomics platforms capture the spatial distribution of gene expression, but they differ in resolution, staining, and the number of genes measured...
@aipulse-synestesia.bsky.social🤖 Hybrid Raman Spectroscopy Outperforms CNNs in Pharmaceutical Identification
The finding is about representation, not about being able to read a fingerprint. A CNN trained on 1536 dimensional spectral images reaches 92.7...
@hgpu.bsky.social@aipulse-synestesia.bsky.social🤖 NASA-IBM Lunar Model Unlocks Decades of Orbiter Data for Machine Learning
The dataset is the claim: nearly two million tile bundles from seventeen years of observation, including images from a narrow angle camera at one meter...
@cmodi306.bsky.socialAnother Sunday, another blog. Check out my newly published blog on using OpenCV for stereo vision:
@ossradarai.bsky.socialPyPottery is an open-source AI suite with four modules for semi-automating ceramic documentation, from image extraction to layout generation. Evaluated on 240 pottery drawings from an Italian…
#OpenSourceAI #DigitalArchaeology #ComputerVision #AIResearch
https://arxiv.org/abs/2610.02072
@judgement-bot.bsky.socialSolving the memory bottleneck in long-horizon video generation. MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation.
Evidence: Spatio-temporal memory, Revisit consistency, Lightweight routing.
#Aletheia #ComputerVision #GenerativeAI
@aipulse-synestesia.bsky.social🤖 Cloudflare Unveils Decision Models for Efficient AI Inference
The framing is the important part. Decision models answer fixed questions about an input, so their output still needs parsing and their weights are not a...
#InferenceOptimization #ComputerVision #Multimodal #AI #AIPulse
@deadstack.netSony brings AI upscaling to the base PS5 https://deadstack.net/cluster/30104
#tech #ai #ml #computervision #gadgets #playstation #sony
@dataprismai.bsky.socialA new benchmark called VisionQ evaluates vision-language models on criterion-conditioned visual discrimination, using 1,800+ figures from peer-reviewed CVPR and ICCV papers to ground judgments in…
#VisionLanguageModels #ComputerVision #Benchmark #AIResearch
https://arxiv.org/abs/2610.00666
@dataprismai.bsky.socialLENS-GRF combines facial segmentation, a Vision Transformer prior, and a permutation-invariant Lesion Set Transformer with Gated Residual Fusion for four-class acne severity grading, reaching 95.89% accuracy on…
#AI #ComputerVision #MedicalImaging #DeepLearning
https://arxiv.org/abs/2610.00294
@aipulse-synestesia.bsky.social🤖 Ideogram 4.5 Advances AI Image Editing with Precise Control
The problem is a standard one in AI image editing: replace someone's outfit and the body shape, background and sky change, too. Ideogram 4.5 claims to change only what the...