Nithin Sai G M’s Post

I am thrilled to share that I recently completed this amazing "on-device-AI" introduction course offered by DeepLearning.AI. Today small hardware components are so powerful that they can perform great computation thanks to #NPU and #GPU allowing the serving of extremely sophisticated #DeepLearning Models on #Edge devices. Qualcomm offers a great tools suite to train, test, profile, and serve these components on mobile devices simplifying the complex #MLOps #Lifecycle. This is a #Tiny World. #TinyML #EdgeComputing

Dive into the latest breakthroughs in AI research with our new blog post, featuring insights from AlphaFold 3's protein structure predictions to the advancements in Consistency LLMs. Stay informed about the cutting-edge developments shaping the future of artificial intelligence!

"AlterEgo is a non-invasive, wearable, peripheral neural interface that allows humans to converse in natural language with machines, artificial intelligence assistants, services, and other people without any voice—without opening their mouth, and without externally observable movements—simply by articulating words internally. ... A primary focus of this project is to help support communication for people with speech disorders including conditions like ALS (amyotrophic lateral sclerosis) and MS (multiple sclerosis). Beyond that, the system has the potential to seamlessly integrate humans and computers—such that computing, the Internet, and AI would weave into our daily life as a "second self" and augment our cognition and abilities." https://lnkd.in/gK-jJHnz

There is a new chip type (called an NPU) and phones will be powered by it soon. AI and much more will be powered by it, giving the speed of local processing.   #ai #tech #data   https://lnkd.in/ewuEE3GD

AI in the palm of your hand.

"I'm frustrated after reading an article about a crime and wondering why we're not asking how we can use AI to prevent such incidents. If AI can be used to detect images, why can't it be used to identify criminals? So, I asked an AI what it could do to prevent such crimes before they happen. Here's the AI's response:" "**Begin AI** 1. **Data Collection**: Gather extensive datasets containing various types of online interactions, including chats, forums, and social media posts, where predatory behavior may occur. 2. **Natural Language Processing (NLP)**: Utilize NLP algorithms to analyze text-based conversations for patterns indicative of predatory behavior, such as grooming tactics, explicit language, or attempts to meet offline. 3. **Image and Video Recognition**: Implement AI systems capable of detecting inappropriate images or videos shared online, including child exploitation material, through image and video recognition algorithms. 4. **Behavioral Analysis**: Develop algorithms to analyze user behavior patterns, such as frequency of interactions with minors, use of specific language, or attempts to conceal identity, to identify potential predators. 5. **Machine Learning Models**: Train machine learning models on labeled data to distinguish between normal and predatory behavior, continuously improving accuracy over time through feedback loops. 6. **Collaboration with Law Enforcement**: Establish partnerships with law enforcement agencies to provide them with AI-generated insights and evidence, facilitating the identification and apprehension of potential predators. 7. **User Reporting and Monitoring**: Implement systems for users to report suspicious behavior and deploy AI to monitor online platforms in real-time for signs of predatory activity. 8. **Privacy Considerations**: Ensure that AI systems comply with privacy regulations and ethical guidelines, such as anonymizing user data during analysis and limiting access to sensitive information. 9. **Education and Awareness**: Educate both children and adults about online safety practices and the dangers of online predation, leveraging AI-driven educational tools and campaigns. 10. **Continuous Improvement**: Continuously iterate and improve AI algorithms based on new data and emerging trends in online predatory behavior to stay ahead of evolving threats. By combining advanced AI technologies with proactive measures and collaboration with law enforcement and online platforms, it's possible to mitigate the risks posed by online sexual predators and protect vulnerable individuals from harm. **End AI**" I am not endorsing all of these ideas. I am merely suggesting that we utilize AI to prevent some of the most inhumane and unjust actions in the world. My intention is solely to highlight the ways in which we can take advantage of AI for betterment. Even if only a few people read this and start discussing and becoming more aware, I will be extremely happy.

🚀 Exciting news in the world of AI performance! The AMD EPYC Turin CPU showcases a remarkable performance upgrade for AI applications compared to its predecessor, the AMD Genoa. We utilized the ZenDNN plug-in for PyTorch (zentorch), integrating seamlessly with the torch.compile graph compilation flow to achieve further performance acceleration. #zenDNN#AI #AMD #EPYC #Turin #Benchmarking #TechPerformance 🌟

Optimize Ultralytics YOLOv8 models for efficiency: A guide to exporting to NCNN format 🔥 Deploying computer vision models on devices with limited resources, such as mobile or embedded systems, presents unique challenges. By optimizing your Ultralytics YOLOv8 models for lightweight deployment through conversion to NCNN format, you can significantly improve their performance on a wide range of devices. This guide offers step-by-step instructions to seamlessly convert your models to NCNN format, ensuring they operate efficiently on mobile and embedded platforms. Learn more ➡️ https://lnkd.in/ecPeumqa #computervision #ncnn #objectdetection #yolov8

So many great things to uncover from this years JNUC! Jamf Pro Blueprints, Self-Service+, Compliance Benchmarks - and of course - AI! 🎉 If you haven't watched the opening keynote, check out the recording below. #Appleatwork #Jamf #JNUC2024 #Appleadmins

We've added the episode notes through Riverside AI/ML capabilities to the last five episodes, this is just one example, but it works extremely well! PS: Also make sure to listen to this episode, Patryk really knows his stuff when it comes to performance :) https://lnkd.in/eHqXzzG4