Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer (Cross-posted on the Google Open Source Blog) At Google, we develo...
Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 1: Introduction
Daisy-Zhang/Awesome-Deepfakes-Detection
A list of tools, papers and code related to Deepfake Detection.
Startup Program for NVIDIA Inception Members
The NVIDIA Inception program has teamed up with Scaleway to bring more accelerated computing options to the EU. This collaboration allows companies to quickly roll out AI applications and scale up their operations.
12britz/awesome-free-models
A curated list of free AI models, APIs, and tools you can use without paying a cent.
On-device intelligence for every product
We're building a frontier lab for on-device AI. Small, specialized models for audio, vision, and text, faster than the cloud and free.
Apple Updates Its On-Device and Cloud AI Models, Introduces a New Developer API
Apple revamped two vision-language models in a bid to catch up with fast-moving competitors.
Assisting blind people with AI and audio using smart glasses: system design with YOLOv8 variants comparisons
This paper introduces a novel system design leveraging Vuzix Blade 2 smart glasses to enhance the mobility and independence of visually impaired individuals. The study critically examines existing assistive navigation and object detection technologies, identifying their limitations and gaps. The designed system integrates real-time object detection, distance estimation, and OCR functionalities, providing auditory feedback through a robust and efficient pipeline. The designed application enhances the independence and safety of visually impaired individuals, particularly in navigating university campuses. A dataset comprising 15,951 annotated images from the university campus was used for training and evaluation. A comparative analysis of three YOLOv8 models (YOLOv8-N, YOLOv8-S, and YOLOv8-M) was conducted, balancing accuracy and computational efficiency to optimise system performance. The pipeline also offers a comprehensive framework for developers and researchers to build inclusive systems combining AR, computer vision, and AI. Results show high object detection accuracy (precision: 0.90, recall: 0.83) and reliable distance estimation with a minor error of 0.33 m. Results demonstrate the system’s capability to detect obstacles within one meter, provide precise distance estimation, and convert textual information into speech, validating its potential for real-world applications. This study emphasises the significant role of AI-driven solutions in advancing assistive technologies, paving the way for more accessible and inclusive navigation systems. Compared with recent assistive systems such as Smart Cane (He in CCF Trans. Pervasive Comput. Interact. 5:382–395, 2023), OrCam MyEye (Amore in J. Med. Syst. 47:11, 2023), and IrisVision (Gopalakrishnan in Comparison of visual function analysis of people with low vision using three different models of augmented reality devices, 2024), the proposed system demonstrates superior integration of detection, text recognition, and real-time feedback within a lightweight wearable device.
Open Source AI Inference Benchmark | InferenceX
Compare AI inference performance across GPUs and frameworks. Real benchmarks on NVIDIA GB200, B200, AMD MI355X, and more. Free, open-source, continuously updated.
transformers/src/transformers/models/auto/tokenization_auto.py at 1d5296f2de31ecee4fdd789dc2b2fe068b320284 · huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers
Vision AI Leaderboard - Best Image & Multimodal Models
Compare and explore Vision models ranked by overall performance.
NVIDIA Inception Program for Startups
Join NVIDIA Inception’s global network of data science, HPC, and gen AI startups.
NVIDIA Inception Program for Startups
Join NVIDIA Inception’s global network of data science, HPC, and gen AI startups.
Tesla hires deep learning expert Andrej Karpathy to lead Autopilot vision | TechCrunch
Tesla has hired deep learning and computer vision expert Andrej Karpathy in a key Autopilot role. Karpathy most recently held a role as a researcher at OpenAI, the artificial intelligence nonprofit backed by Elon Musk. He has an extensive background in AI-related fields, having completed a PhD at Stanford University in computer vision.
