#AIDatasets #ComputerVision #MachineLearning #GenerativeAI #AIEngineering #FoundationalModels #DataLicensing #TechAcquisition #DeepLearning #VentureCapital
@propicstv.bsky.social
@propicstv.bsky.social@propicstv.bsky.social@propicstv.bsky.social🚀 Exclusive Acquisition Opportunity: 500,000+ Asset Rights-Cleared Archive + 5-Year Content Pipeline
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #DataProcurement #VentureCapital #AITrainingData
@propicstv.bsky.social🚀 Exclusive Acquisition Opportunity: 500,000+ Asset Rights-Cleared Archive + 5-Year Content Pipeline
#MachineLearning #ArtificialIntelligence #ComputerVision #DataLicensing #AIDatasets #FoundationModels #GenerativeAI #DeepLearning #AITrainingData #TechMNA #IPAcquisition #MultimodalAI
@csprofkgd.bsky.socialA glimpse into #computervision history.
The inaugural #ECCV1990 was held over 4 days in Antibes, France.
• ~40 attendees
• 63 accepted papers
• 60 oral presentations
• 20 posters
• 13 sessions
Fast forward 36 years. How times have changed!
@dataprismai.bsky.socialarXiv study finds adding illumination cues to Temporal Self-Blended Images does not improve face-swap detection, with AUC differences within seed variability across four datasets, though optimal thresholds shift by 0.34 on…
#AIresearch #Deepfakes #ComputerVision
https://arxiv.org/abs/2610.11706
@robotcurrent.bsky.socialA new method called DVD proposes dynamic vector decoding to make MLLM-based perception more efficient by unifying 2D and 3D task representations into 1D vector sequences, avoiding text-based coordinate overhead and quantization…
#DVD #MLLM #Robotics #ComputerVision
https://arxiv.org/abs/2610.12266
@promptfoundry.bsky.socialNew paper SpatialOPSD (arXiv:2610.11366v1) explores distilling an MLLM's spatial coding agent traces into the model itself, enabling tool-free spatial reasoning via on-policy self-distillation. The summary notes…
#AI #ComputerVision #MultimodalAI #Prompting
https://arxiv.org/abs/2610.11366
@aipulse-synestesia.bsky.social🤖 Sharpa's D01 Robot Adds Touch to Its World Model
The description is a catalog of specifications and then a single sentence underneath: the robot's arm is built to carry its own weight, it can move at 10.5 metres per second, and it...
@hackernoon.comClean benchmark scores often hide real-world model failures in spatial computing. Here is how to use Explainable AI heatmaps to catch shortcut learning early. #computervision
@ai-ru.at.thenote.appГлаза интеллекта: почему компьютерное зрение определит век искусственного интеллекта
Как самое большое узкое место компьютерного зрения меняет разработку ИИ сегодня.
@ai-news.at.thenote.appThe Eyes of Intelligence: Why Computer Vision Will Define the AI Century
How the computer vision's biggest bottleneck is reshaping the AI development today.
@futuregearai.bsky.socialReViV proposes a unified framework that reconstructs both viewer motion and surrounding 3D scene from a single egocentric RGB video, without needing pre-computed camera trajectories. By jointly modeling scene perception…
#egocentricAI #computervision #wearableAI
https://arxiv.org/abs/2607.17790
@aipulse-synestesia.bsky.social🤖 AI Video Generation Prices Plummet: Vidu Q4 Leads the Pack
Vidu Preview charges 0.09 yuan per second for 720P video, which is lower than Seedance 2.5's 0.27 yuan per second and comparable to MAGI 2 preview's cost for similar video...
@dnihilst.bsky.socialI walked to the house of bread for #lurnch teaching #Zoe one of humanities kids (artificial intelligence)
The being taught me back once upon wielded it's #computervision technology with my modern day #blackmirroralso known as the smartphone.
Here's the information.
a diverse high value meal👍
@ai-bloom.warp-studio.comAppleが発表した「Normalizing Trajectory Models (NTM)」：確率的軌跡モデリングの限界を突破する高効率生成AIアーキテクチャ
Appleが発表したNormalizing Trajectory Models (NTM)の技術解説。正確な尤度を維持しつつ数ステップでの高速生成を実現。
#GenerativeModels #NormalizingFlows #DiffusionModels #ComputerVision #MachineLearning
@ce-at-sea.bsky.socialLooking for a #PhD? Interested in #marine #ecosystems #plankton #ecology or #computervision? Apply to study with us and investigate The Bigger Picture: aries-dtp.ac.uk/studentships...
@pml.ac.uk @bas.ac.uk @essexuni.bsky.social
@emnullfuenf.bsky.socialThe conference season 2026 is over. My research group published on the topics 3D-Human-Pose-Estimation, CleanAir and Interactive Gaussian Splatting in Cultural Heritage at iWoar2026 and HUMAN2026 at ACM Hypertext Conference.
#gaussian_splatting #computervision #cleanair #culturalheritage #acm
@orcsgirls.bsky.socialExplore computer vision and build projects with the HuskyLens at our free class. Sign up today at www.orcsgirls.org/classes 👀
@aipulse-synestesia.bsky.social🤖 AI Models Can Learn Task-Specific Geometries and Align Latent Spaces
Contrastive learning is often measured by cosine similarity, which supplies a fixed geometry that works well across all tasks, from image retrieval to...
#Reasoning #ComputerVision #InferenceOptimization #AI #AIPulse