AI - 人工智能;AR - 增强现实;CV - 机器视觉;DL - 深度学习;DM - 数据挖掘;DS - 数据科学;DV - 数据可视化;IOT - 物联网;ML - 机器学习;NLP - 自然语言处理
- [AI]Centre for Computational Statistics and Machine Learning
- [AI]DAGLI ARCHIVI DELL’ANSA - Borrelli e l’appello a ‘Resistere’ del 2002 - Politica
- [AI]Elon Musk hopes to put a computer chip in your brain. Who wants one?
- [AI]Energy providers need to look at smart energy grid system
- [AI]How Is Machine Learning Transforming Small Business Lending? - insideBIGDATA
- [AI]L’alba sulle Dolomiti tra guerra e pace - Trentino AA/S
- [AI]Luca Parmitano a bordo della Soyuz, in attesa del lancio - DIRETTA dalle 17,30 - Scienza & Tecnica
- [AI]r/MachineLearning - [R] The Many AI Challenges of Hearthstone
- [AI]TCAV: Interpretability Beyond Feature Attribution - Towards Data Science
- [AI]Vacanze, 1 italiano su 5 in viaggio con cani e gatti - Ambiente & Energia
- [AR]Microsoft has a wild hologram that translates HoloLens keynotes into Japanese
- [AR]Microsoft wows Inspire crowd with language-translating HoloLens hologram
- [AR]r/augmentedreality - Google Lens AR - Stranger Things
- [AR]r/augmentedreality - Projected AR instructions on an F-35
- [AR]Shearing Sheep in Virtual Reality
- [AR]Stanford Children’s Hospital Experiments with Magic Leap One to Reinvent Medical Training Simulations
- [AR]VR Educates Swimmers on Rip Currents
- [AR]VR interviews could take the risk out of recruitment
- [AR]Vuzix Blade Augmented Reality Smartglasses Add Real-Time Language Translation via Zoi Meet App
- [AR]“Technology is nothing without the human intention behind it” - Ars Electronica Blog
- [DL]A Compact and Extensible Transfer Learning Method for NLP
- [DL]A golden era of exploration: ATLAS highlights from EPS-HEP 2019 | ATLAS Experiment at CERN
- [DL]AI Predicts Long-term Death Risk From Single Chest X-ray
- [DL]AI rewrites the rules on data analysis, CIOs say
- [DL]An Intelligent Agriculture Application Based on Deep Learning
- [DL]Artificial Intelligence in Supply Chain Management - Disruptive Competition Project
- [DL]Artificial Intelligence to Speed up Alzheimer’s Disease Research |
- [DL]Become an AI Master and Start Making the Big Bucks
- [DL]Criminals are using deepfakes to impersonate CEOs
- [DL]Cutting-Edge AI: Deep Reinforcement Learning in Python
- [DL]Digging Deep into the Deepfake Appeal - OxGadgets
- [DL]Diving Deeper into Underwater Image Enhancement: A Survey
- [DL]Family fun with deepfakes. Or how I got my wife onto the Tonight Show
- [DL]How to Apply Deep Learning for Common Applications
- [DL]IBM to launch AI research center in Brazil | ZDNet
- [DL]Learn the ins and outs of AI with this Artificial Intelligence Engineer Master Class Bundle
- [DL]r/MachineLearning - [D] Good review papers about Image Segmentation?
- [DL]Simple Surveillance System with the Tensorflow Object Detection API
- [DL]Tech Data Partners with Deep Learning Cybersecurity Platform
- [DL]The Generative Deep Learning Book — The Parrot Has Landed.
- [DL]The Hundred-Page Machine Learning Book Book Review
- [DL]The Innovator — Interview of the Week: Anand Rao on Responsible AI
- [DL]Ultra-Low-Precision Training of Deep Neural Networks
- [DS]Anita Kirkovska: Nasa Influence on Open Data Projects | PyData Miami 2019
- [DS]Celebrating Pathways into Data! - MBN Solutions
- [DS]Doing data science for good (Southampton)
- [DS]Scotland Fintech - UiPath Transforming Finance with Intelligent Automation
- [DS]what it really means to the construction sector – Project Data Analytics Community
- [DV]AI teaches itself to complete the Rubik’s cube in just 20 MOVES
- [DV]An open letter about open research practices at IEEE VIS
- [DV]Apollo 11’s first moon landing technology, star charts and the NASA coders
- [DV]Coriolis force
- [DV]Green Space is Good for Mental Health
- [DV]IEEE VIS 2019
- [DV]It May Not Seem That Way, but Politicians Often Do What Voters Want
- [DV]Shirley Wu on Twitter
- IoT Tom Bradicich on IoT and Edge)
- [IoT]Arm Mobile Studio – Arm
- [IoT]China, India, Japan and South Korea set to surpass 1bn installed smart electricity meters in 2025 - IoT global network
- [IoT]Hacking infrastructure made easy with IIoT and 5G
- [IoT]Hackster’s Handpicked Projects of the Week - Hackster Blog
- [IoT]New Product – Retro Handheld Game Devices Sticker Set
- [IoT]This accessory lets you try faster 5G networks on your current iPhone or Android phone — but it’ll cost you
- [ML]10 steps to improve customer retention with journey analytics
- [ML]A New Approach to Harnessing Machine Learning For Security
- [ML]AI Weekly: A growing chorus of experts agrees facial recognition systems must be regulated
- [ML]AI-Powered Low-Code Platform - DZone AI
- [ML]Are You Ready for The Future of Work?
- [ML]ASK AN ENGINEER – 7/24/19 Special guest Pete Warden @petewarden #machinelearning #tensorflow #tinyml @tensorflow
- [ML]Basics of SQL in Python for Data Scientists - Towards Data Science
- [ML]Big News: Porting vtreat to Python
- [ML]Everyday Applications of Artificial Intelligence That Affect Your Daily Life
- [ML]Frankfurt Airport is Using Machine Learning to Predict Aircraft Arrivals - Avionics
- [ML]Google Brain & CMU Advance Unsupervised Data Augmentation for Semi-Supervised Learning
- [ML]How artificial intelligence will change the way accountants work
- [ML]How Etsy taught style to an algorithm
- [ML]How Health Care Changes When Algorithms Start Making Diagnoses
- [ML]How long does a surgery take? Researchers create model: Of all the data captured, greatest variability was between surgeons
- [ML]How open source and AI can take us to the Moon, Mars, and beyond
- [ML]How to Implement Stacked Generalization (Stacking) From Scratch With Python
- [ML]IBM Research at IEEE World Congress on Services 2019 | IBM Research Blog
- [ML]Ideas2IT Meetup Chapter II - Chennai Data Science and ML Club
- [ML]Introduction to Machine Learning | Augnitive
- [ML]Key success factors for adopting condition-based and predictive maintenance
- [ML]Kitchen disruption: better food through artificial intelligence
- [ML]Machine Learning with STM Mems Sensor
- [ML]Making Algorithms Less Biased
- [ML]Managing algorithmic risks—safeguarding the use of complex algorithms and machine learning
- [ML]r/MachineLearning - [P] Going with the Flow: An Introduction to Normalizing Flows
- [ML]r/MachineLearning - [R] OmniNet is all you need! ;)
- [ML]r/MachineLearning - BERT’s success in some benchmarks tests may be simply due to the exploitation of spurious statistical cues in the dataset. Without them it is no better then random.
- [ML]Solving the Rubik’s cube with deep reinforcement learning and search
- [ML]The 5 Clustering Algorithms Data Scientists Need to Know
- [ML]The future of machine learning is tiny
- [ML]Voigt-Kampff Analyzer