The LA Times Festival of Books was a favorite of mine when I lived in Los Angeles. It’s free to attend and you can spend all weekend browsing the many booths and chatting with fellow readers. If you…

The Future of Computer Vision and Machine Learning is Tiny" at the 2019 Embedded Vision Summit.

We've been hitting GCC internal compiler errors when cross-compiling for the Pi 2/3 using gcc v4.9.3. From the diagnostics, it seems like we might be hitting the same issue that Chrome encounte...

According to Nick Bostrom of the Future of Humanity Institute, it is likely that we live in a computer simulation . And one of our bigge...

Photo by Kimberly D On Monday I’ll be giving a keynote at the IEEE Custom Integrated Circuits Conference, which is quite surprising even to me, considering I’m a software engineer who c…

Whereas conventional spoken language understanding (SLU) systems map speech to text, and then text to intent, end-to-end SLU systems map speech directly to intent through a single trainable model.…

There are very few open source collections of speech data where individual words are spoken by a large number of different people. This makes it tough to build good open source examples of detecting…

Videos by the geeks at Spark Fun Electronics.

The SparkFun Edge Development Board powered by TensorFlow is perfect begin using voice recognition without relying on the services of other companies.

One of my uncles cursed me with the LEGO bug, when I was 6 he gave me his collection because he was going to university. My uncle and I are relatively close in age, my dad was the eldest of 8 children…

In early 2017 I stumbled across one of the documented Google Cloud and Tensorflow use cases titled How a Japanese cucumber farmer is using…

A new class of systems will be born at the nexus of AI and IoT, but the road to it is far from clear, said attendees at an elite gathering of experts.

At SensiML we are building tools that make it easy for developers and data scientist to create smart sensor algorithms that will run on embedded devices. Lea...

Comment period is open until 2019-04-01 Status Proposed Author(s) Yu-Cheng Ling (ycling@google.com) Sponsor Andrew Selle (aselle@google.com), Jared Duke (jdduke@google.com) Updated 2019-...

MaixPy display MNIST feature map Today we will get middle layer result, which usually called feature map, and display them on lcd. firmware and model download from here: maixpy_fmap.zip (875.0 KB) The…

MaixPy run face detect (tiny yolo v2) Today we use MaixPy to run face detection, here is the frimware and model. maixpy_yolo2.zip (1015.3 KB) API kpu.init_yolo2(task, 0.5, 0.3, 5, anchor) input args:…

Trilogy Education Services runs coding boot camps for a growing number of universities. The partnerships are lucrative for the institutions, but are they worth the reputational risk?

Westminster chaos affords preview of Britain standing alone with its demons

NVIDIA has unveiled a $99 computer that brings AI hardware to the homebrew crowd.

New Docker support to improve experiment reproducibility.

This website was conceived at the 2007 Flugsaurier pterosaur research meeting in Munich when we, a collection of pterosaur researchers and artists directly working with us, realised that there was no…

At TensorFlow Dev Summit 2019, we announced TensorFlow Lite 1.0 TensorFlow Lite is a lightweight solution for mobile and embedded devices. In this video, you...

The Straight-Through Estimator (STE) is widely used for back-propagating gradients through the quantization function, but the STE technique lacks a complete theoretical understanding. We propose an alternative methodology called alpha-blending (AB), which quantizes neural networks to low-precision using stochastic gradient descent (SGD). Our method