Stephen BlumComputer vision projects feel impressive, emotional, and often score higher.
Mental privacy matters.📲 Computer vision is a privacy-degrading corporate activity. Maintaining Freedom of Thought, privacy, dignity and self-determination requires deliberate rejection of surveillance tech that multiplies "computer vision" capabilities in our day-to-day lives.
#privacy #privacymatters #panopticon #surveillance #surveillancecapitalism #freedomofthought #computervision
Robert Koch-Institut🖼️ Call a spade a spade: How to deal with objects that are incorrectly/ambiguously labelled in #ML?
New #RKI research from #CVPR2026 outperforms SotA methods by filtering erroneous labels with a “drainage” class.
Thorbjörn SievertSince it remains unclear whether my current #PostDoc contract will be prolonged in January, I am starting to look for a new #AcademicJob!
My expertise are #ecology, #ethology, #AnimalBehavior, with a focus on #olfaction in #mammals.
I had a stint in #NeuroEthology, but that wasn't quite my cup of tea, and I am currently working in #AnimalWelfare for husbandry animals (think cows, pigs etc).
I have done field work (wild rodents), lab work (very controlled behavioral assays), and pure data analysis.
I do everything in #rstats, so my standard analysis tools are GLM/GLMM, but I'm currently learning how to properly use Generalized Additive Models, as they seem like the natural next step.
I've also dabbled in #python in order to work with #DeepLabCut and #moseq, so the last few years I spent mostly with #ComputerVision, #DeepLearning, and extracting data from videos.
As that requires heavy GPU calculations, I've done most on my work on institutional and/or national #HPC, and then crunched the masses of resulting data in #rstats
I'm looking for a job in the #EU, preferably anywhere north of Germany, but let's be honest, I'll go wherever there is a job.
My website is a bit outdated, but https://tsievert.com/
Please boost for visibility!
#AnimalBehaviour #FediJobs #FediHire #GetFediHired #LookingForJob
cnx-software.com [Unofficial]NeoEyes NE503 – A $1199 Edge AI Camera based on Hailo-15H 20 TOPS SoC
NeoEyes NE503 – A $1199 Edge AI Camera based on Hailo-15H 20 TOPS SoC
Camthink NeoEyes NE503 is a 4K Edge AI camera platform powered by the Hailo-15H quad-core Cortex-A53 SoC with a 20 TOPS AI accelerator, and paired with 8GB of LPDDR4 memory and a 64GB eMMC flash. The camera also features a Sony IMX678 4K sensor and an 8–32mm F1.6 AF auto-zoom lens for high-quality monitoring, low-light imaging, and long-range recognition. The camera directly handles high-resolution video input, local multi-model inference, containerized applications, and event-driven workflows on the device, without relying on the cloud or a local server. NeoEyes NE503 specifications: SoC - Hailo-15H CPU - Quad-core Arm Cortex-A53 @ 1.3 GHz VPU - H.265/H.264 encoding ISP - Supports up to 12 MP resolution, 600 Mpixel/s pixel rate, HDR, and noise reduction AI performance - Up to 20 TOPS; < 50 ms target inference latency System Memory - 8GB LPDDR4 @ 4266 MT/s; 8.5 GB/s single-channel bandwidth Storage 64 GB eMMC flash 8
Meteora Web🚨 NEWS: Machine Learning con Python — Modelli Pronti per il Business, Costi Controllati e Deployment Reale
Ecco i punti chiave in breve:
💡 Quali sono i fondamenti del Machine Learning con Python per un progetto reale?Se hai mai provato a prevedere le vendite del prossimo trimestre o a classificare ticket di supporto senza far impazzire i...
LobstersUnlimited-OCR: One-shot Long-horizon OCR
Graperain GR1126MB development board features solder-on 3 TOPS Rockchip RV1126B AI Vision module
Graperain GR1126MB development board features solder-on 3 TOPS Rockchip RV1126B AI Vision module
Graperain GR1126MB development board is based on a 42x42mm GR1126B 160-pin stamp-hole system-on-module powered by a Rockchip RV1126B AI camera SoC with a 3 TOPS NPU designed for AI vision, machine vision, and edge AI applications. Graperain GR1126 AI Vision system-on-module GR1126 specifications: SoC – Rockchip RV1126B CPU – Quad-core Arm Cortex-A53 up to 1.6 GHz with 32KB L1 I-Cache and 32KB L1 D-Cache, unified 512KB L2 Cache GPU – 2D Graphics Engine VPU Video Decoder – H.265/H.264 up to 4K @ 30 FPS Video Encoder – H.265, H.264, JPEG up to 4K @ 45 FPS JPEG Decoder ISP - Built-in 12M ISP and 8M AI-ISP AI accelerator – Rockchip NPU engine up to 3 TOPS (INT8); supports INT4, INT8, INT16, and FP16 models; TensorFlow, ONNX, PyTorch, and Caffe frameworks. System Memory – 1GB or 2GB DDR3 by default, customizable up to 4GB LPDDR4/LPDDR4x Storage – 8GB, 16GB, 32GB, 64GB,
Hacker NewsLift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Hacker NewsLift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
#HackerNews #Lift4D #3DEstimation #4DReconstruction #ComputerVision #AI