In the News
Solving Rubik’s Cube with a Robot Hand
To overcome this, we developed a new method called Automatic Domain Randomization (ADR), which endlessly generates progressively more difficult environments in simulation.
Sponsor
The CCPA Compliance Resource Kit – Prepare Now for the January 2020 Deadline!
Learn how CCPA is different from GDPR and how to prepare with data handling best practices. Resource kit Includes new report from 451 Research, expert tips on protecting sensitive customer data, and details on key CCPA data privacy provisions. Now is the time to prepare for the January 2020 deadline! Get your CCPA Compliance Resource Kit!
In The News
This Technique Can Make It Easier for AI to Understand Videos
All are working on methods that analyze the contents of videos, but these approaches require a lot more computer power. Deep learning algorithms can detect objects based on the pixels shown in an image.
The economics of Artificial Intelligence today
In this blog I outline key themes of the conference and relevant papers at four levels: macro, meso (industrial structure), micro and meta (impacts of AI on the data and methods that economics use to study AI).
Applied use cases
Demystifying AI, Machine Learning, and Deep Learning
According to Thomas Davenport in the HBR, analytical technology has changed dramatically over the last decade, with more powerful and less expensive distributed computing across commodity servers, streaming analytics, and improved machine learning technologies, enabling companies to store and...
PyTorch 1.3 adds mobile, privacy, quantization, and named tensors
Alibaba Cloud also joins Amazon Web Services, Microsoft Azure, and Google Cloud as supported cloud platforms for PyTorch users.You can get started now at pytorch.org PyTorch 1.3 The 1.3 release of PyTorch brings significant new features, including experimental support for mobile device deployment,...
Ethics
Artificial Friend or Virtual Foe
Several studies and prototypes have been run to prove the value of AI in high-impact fields such as healthcare (Chunara et al., 2012; Caicedo-Torres et al., 2016; Pathak and Kumar 2016; Robertson and DeHart 2010; Waidyanatha et al., 2013)
Anthropomorphized AI as Capitalist Agents: The Price We Pay for Familiarity
Darling cites multiple concerns over privacy, data collection, advertising, and increased inclination to reveal personal information.
The Worlds That AI Might Create
For one thing, developing and implementing AI systems creates a growing demand for data scientists, roboticists, machine-learning specialists, cybersecurity experts and other highly skilled workers.
Research
The State of Machine Learning Frameworks in 2019
CVPR, ICCV, ECCV - computer vision conferences NAACL, ACL, EMNLP - NLP conferences ICML, ICLR, NeurIPS - general ML conferences This graph was generated by scraping every paper published in a major ML conference over the last few years.
What’s State Of The Art In AutoML in 2019?
Following the structure of the original paper, we’ll touch upon the available AutoML techniques, summarize existing approaches to Neural Architecture Search (NAS), provide you with the results of comparing NAS algorithms with human-designed models, and finally, list some ideas for future...