Sam Lurye’s Post

Kargo's AI computers tower over loading docks, automating their operations. Today, we at HNVR are proud of the company for announcing a new way of turning OCR results into structured data that delivers on industrial-level reliability requirements. This breakthrough, and attendant US patents issued today, illustrate how uniquely capable the Kargo solution is for industrial, logistics, and manufacturing operations. These towers combine deep learning, cameras, and proprietary models to read labels like a human. This shows the power of edge-computed AI in industrial use based on original, non-stochastic, explainable models. A deep learning reader, a regex classifier – a terrific example of an AI-delivered productivity gain. We're sharing a photo of a recent install below. A loading dock without Kargo? That's just a hole in your wall. Well done Sam Lurye, Bingyan Liu, John Strizich, et al.

Change is good. But your anti-counterfeiting solution shouldn’t change your manufacturing process. 😉 Our Vision AI solution doesn’t require any external elements or hardware. ✅ Learn more: https://lnkd.in/dRbSt-v

How can MEC, 5G, and LLMs come together to supercharge GenAI applications? I break it all down in my latest article, check it out!

Parler-TTS Released: A Fully Open-Sourced Text-to-Speech Model with Advanced Speech Synthesis for Complex and Lightweight Applications Parler-TTS has emerged as a robust text-to-speech

Nordic Semiconductor's exciting new features in nRF Connect SDK 2.6.0 webinar is now available on-demand. We had some cool demos as well, be sure to check them out! ☑ Devicetree Visual Editor: https://lnkd.in/d7jJSF48 ☑ Wi-Fi throughput sample: https://lnkd.in/d5SWpA-w ☑ nPM1300 one button sample: https://lnkd.in/dwuZUmhu Just to give some more color to this post, here's what AI thinks my work looks like.

🔉Text-To-Speech Technology: Can You Spot the Real Voice? In our latest blog post, Francisco explores the advancements in Text-to-Speech (TTS) technology, from the pioneering WaveNet to today’s XTTS v2. He has also set up a challenge for you! Ready to test your skills? Listen to the following audios: two are AI-generated, one is real. Can you identify the original? Leave your guess in the comments! 🔗 https://lnkd.in/d7xRebSi

Take a look at the performance of encrypted inference for image classification. Your trained model using AutoFHE works well with images from google search. In this demo, your encrypted image is sent to the server after encryption and classified on the server without decryption. You can see the result after decryption on your browser. Try it at https://autofhe.com/.

🚀 Exciting news! We've (yet again) updated our top blog post on deep learning hardware! 🚀 At Oddity.ai, we're committed to keeping you ahead of the curve in the fast-paced world of AI. That's why we've once again updated our most popular blog post: "The Best Bang for Your Buck Hardware for Deep Learning (2024)"! Whether you're an AI enthusiast, a data scientist, or just starting your deep learning journey, this post is your go-to guide for selecting the perfect GPU. With supply chains stabilizing and prices becoming more competitive, now is the time to make informed decisions about your hardware. 💡 What's New? - Latest GPU recommendations: Find out why the NVIDIA RTX 4090 and RTX 4070 Ti are now leading the pack in terms of performance and value. - Second-hand gems: Discover why the RTX 3080 is still a fantastic option for budget-conscious buyers. - Tensor cores performance: We’ve updated our evaluation criteria to include Tensor Cores, ensuring you get the most out of AI workloads. Whether you’re building a new setup or upgrading your current one, this guide has everything you need to maximize your investment in deep learning hardware. 🔗 Check out the updated blog post now: https://lnkd.in/ew6UJi9S #AI #DeepLearning #NVIDIA #GPUs #TechUpdate #OddityAI #MachineLearning

This article is a roadmap to the future of LLMs in 2024 Locally and Colab users, you're in for a treat! And it's free!