Sek Chai, Author at Latent AI

Creating the perfect Iron Chef AI Recipe

The AI Chef The best competitive cooking shows such as the Iron Chef, Top Chef, Chopped and Hell’s Kitchen highlight culinary experts and professionals who craft masterpieces under a strict time limit. These shows are intense, but the chefs still manage to craft innovative and delectable dishes out of everyday ingredients. While it might not ...

Sek Chai July 4, 2022

How to Mitigate the Chip Shortage Crisis with Software

We have an insatiable demand for technology in all aspects of our lives. We need technology to make our work more efficient, our lives safer and healthier, and our lifestyles more comfortable. Central to the technology are the semiconductor chips that are responsible for the computations that make our electronics smarter. Experts have been warning ...

Sek Chai August 12, 2021

The Adaptive AI™ Approach: Run Deep Neural Networks with Optimal Performance

If you are an AI engineer dissatisfied with the speed or power consumption of your neural network inferences and believe there are no solutions available for better performance….then keep reading! I’d like to introduce a new way to run your deep neural networks at their most optimal point. It is dynamic, context-aware, and flexible. It ...

Sek Chai May 7, 2020

How Latent AI’s LEIP SDK Improves Deep Learning Inference Efficiency

Our Latent AI Efficient Inference Platform (LEIP) is an SDK for deep learning training and inference. LEIP provides APIs to train, quantize, and deploy edge AI models from many deep learning frameworks. It then generates optimized runtime engines deployable in embedded devices and infrastructure edge devices. Latent AI’s LEIP SDK enables you to deploy deep ...

Sek Chai April 30, 2020

The Quantization Myth

Demystifying Quantization Do you need high bit-precision to operate neural networks? More specifically, do you need a high bit-precision processor to run neural network inferences in the same level of fidelity that you’ve trained them? These concepts seem to be popular myths but are not true. A large part of the confusion around these myths ...

Sek Chai April 21, 2020

Scaling Edge AI in a Data Driven World, Part Two

The Essence of Edge AI Many applications today need edge computing. However, due to privacy issues, the need for real-time responses, and lack of network connectivity, applications are often compromised. A similar position supporting edge computing comes from the argument around network scalability. The cost and latency for network backhaul can be problematic, especially when ...

Sek Chai January 17, 2020

Scaling Edge AI in a Data-Driven World, Part One

Scaling Edge AI in a Data-Driven World, Part One Drowning in Data We live in a data-driven world where IoT devices are always on, always tracking, and always monitoring. Being perpetually connected also means that we’re producing mind-boggling amounts of data. In fact, IDC Research predicts by 2020 we will be generating 44 trillion gigabytes ...

Sek Chai October 18, 2019

The Era of Commercializing AI, Part Two

Supporting Efficient Workflow for Commercializing AI At the early stage of AI commercialization, we are faced with the “dark ages” of tools, infrastructure, and approaches. There are many analogies that we can draw upon to understand where we truly are at this moment. For example, in the early days of the Internet, everyone was building ...

Sek Chai September 10, 2019

The Era of Commercializing AI, Part One

Beyond the Valley of Innovation Death Rapid success in deep learning algorithms has spawned new applications in video analytics, speech processing, and natural language processing. New smart products with compelling user experience, driven by the power of AI, can create safer human environments, allows us to work more efficiently, and helps to make communication easier. ...

Sek Chai August 28, 2019

The Next Wave in AI and Machine Learning: Adaptive AI at the Edge

The accessibility of high-end GPUs and rapid development of machine learning software frameworks (Tensorflow, Pytorch, Caffe) have enabled recent success in the deployment of deep learning applications on the cloud. Applications in video analytics, audio processing, natural language processing (NLP) are becoming popular as consumers benefit from the new user experience, driven by the power ...

Sek Chai June 19, 2019

Articles Posted by Sek Chai