Tag: AI

Model Selection and Benchmarking with Modelplace.AI
The 2021 Machine Learning, AI and Data (MAD) Landscape
New deep learning model brings image segmentation to edge devices
5 Types of Machine Learning Algorithms (With Use Cases)
Why machine learning struggles with causality
Deep reinforcement-learning architecture combines pre-learned skills to create new sets of skills on the fly
AI outperforms humans in speech recognition
Reinforcement learning is supervised learning on optimized data
AI is An Ideology, Not A Technology
Awful AI: is a curated list to track current scary usages of AI
C++ Neural Network in a Weekend
Core ML
NVIDIA Jetson Xavier NX for Embedded & Edge Systems
Top Machine Learning Books recommended by experts
Artificial Intelligence is Able to Code Python – NextBigFuture.com
Google’s AutoML Zero lets the machines create algorithms to avoid human bias
Google’s TensorFlow Lite Model Maker adapts state-of-the-art models for on-device AI
Deep-Learning AI on Low-Power Microcontrollers: MNIST Handwriting Recognition Using TensorFlow Lite Micro on Arm Cortex-M Devices
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Massively Scaling Reinforcement Learning with SEED RL
GE Healthcare’s AIRx™ Tool Accelerates Magnetic Resonance Imaging using Intel® AI Technologies – Intel AI
Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
Rasa: Open source conversational AI
AI-Driven Medical Imaging Powered by Intel and Philips – Intel AI
AutoFlip: An Open Source Framework for Intelligent Video Reframing
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions – Intel AI

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