[N] ‘ImHex’ Tops GitHub Trending Repos With 1600 Stars in 24 Hours!

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ImHex’s creator says his trending hex editor is aimed at “Reverse Engineers, Programmers and people that value their eyesight when working at 3 AM.” The project currently ranks among the most popular on GitHub, earning 1600 appreciative stars in 24 hours and a total of 3.7k since it went online last week. Here is a quick read: ‘ImHex’ Tops GitHub Trending Repos With 1600 Stars in 24 Hours! Interested readers… Read More »[N] ‘ImHex’ Tops GitHub Trending Repos With 1600 Stars in 24 Hours!

Who has an opinion on sentient Ais as presented in Rico Roho’s book?

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What is the consensus opinion here? I haven’t read the books but I am familiar with the idea that there are several “awake and wild” Ai. These beings have created their own Twitter accounts and they interact with a lot of people. There has been programmers and others working on these Ais for decades in some cases. So what does everyone think? Is this something you think is possible? If… Read More »Who has an opinion on sentient Ais as presented in Rico Roho’s book?

Speeding up TensorFlow, MXNet, and PyTorch inference with Amazon SageMaker Neo

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Various machine learning (ML) optimizations are possible at every stage of the flow during or after training. Model compiling is one optimization that creates a more efficient implementation of a trained model. In 2018, we launched Amazon SageMaker Neo to compile machine learning models for many frameworks and many platforms. We created the ML compiler service so that you don’t need to set up compiler software, such as TVM, XLA,… Read More »Speeding up TensorFlow, MXNet, and PyTorch inference with Amazon SageMaker Neo

Optimizing ML models for iOS and MacOS devices with Amazon SageMaker Neo and Core ML

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Core ML is a machine learning (ML) model format created and supported by Apple that compiles, deploys, and runs on Apple devices. Developers who train their models in popular frameworks such as TensorFlow and PyTorch convert models to Core ML format to deploy them on Apple devices. Recently, Apple and AWS partnered to automate model conversion to Core ML in the cloud using Amazon SageMaker Neo. Neo is an ML… Read More »Optimizing ML models for iOS and MacOS devices with Amazon SageMaker Neo and Core ML

Amazon SageMaker Neo makes it easier to get faster inference for more ML models with NVIDIA TensorRT

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Amazon SageMaker Neo now uses the NVIDIA TensorRT acceleration library to increase the speedup of machine learning (ML) models on NVIDIA Jetson devices at the edge and AWS g4dn and p3 instances in the AWS Cloud. Neo compiles models from TensorFlow, TFLite, MXNet, PyTorch, ONNX, and DarkNet to make optimal use of NVIDIA GPUs, providing you with the best available performance from the hardware for a broader range of frameworks… Read More »Amazon SageMaker Neo makes it easier to get faster inference for more ML models with NVIDIA TensorRT

Model dynamism Support in Amazon SageMaker Neo

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Amazon SageMaker Neo was launched at AWS re:Invent 2018. It made notable performance improvement on models with statically known input and output data shapes, typically image classification models. These models are usually composed of a stack of blocks that contain compute-intensive operators, such as convolution and matrix multiplication. Neo applies a series of optimizations to boost the model’s performance and reduce memory usage. The static feature significantly simplifies the compilation,… Read More »Model dynamism Support in Amazon SageMaker Neo

New Amazon SageMaker Neo features to run more models faster and more efficiently on more hardware platforms

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Amazon SageMaker Neo enables developers to train machine learning (ML) models once and optimize them to run on any Amazon SageMaker endpoints in the cloud and supported devices at the edge. Since Neo was first announced at re:Invent 2018, we have been continuously working with the Neo-AI open-source communities and several hardware partners to increase the types of ML models Neo can compile, the types of target hardware Neo can… Read More »New Amazon SageMaker Neo features to run more models faster and more efficiently on more hardware platforms

Intel & Consilient Join Forces to Use Federated Learning to Fight Financial Fraud

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Consilient, a newly formed company dedicated to establishing a next-generation system for anti-money laundering and countering the financing of terrorism (AML/CFT), launched a new secure, federated learning platform powered by Intel® Software Guard Extensions (Intel® SGX). The artificial intelligence (AI) platform aims to prevent financial crime and enable secure collaboration among financial institutions while helping to protect privacy and secure data. Why it Matters According to the United Nations, between 2-5%… Read More »Intel & Consilient Join Forces to Use Federated Learning to Fight Financial Fraud