In the News
This Light-based Nervous System Helps Robots ‘Feel’
By embedding optical fibers inside a 3D printed stretchable material, the team engineered an “optical lace” that can detect changes in pressure less than a fraction of a pound, and pinpoint the location to a spot half the width of a tiny needle.
Sponsor
Guide: 4 Expert DSAR Recommendations
4 Recommendations plus the one thing you should never do. Learn best practices for successfully managing one of the biggest challenges with GDPR and CCPA data privacy compliance.
In The News
How to respond to climate change, if you are an algorithm
It has long been known that the rate of carbon emissions growth is rapidly declining, in part due to improvements in technology, including those to harness the earth’s abundant carbon resources.
What Is The Difference Between Artificial Intelligence And Machine Learning?
Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably.
Experiments with Making Convincing AI-Generated Fake News
In September, the Salesforce AI team released CTRL, a Transformer-based text generating model with a twist; the model can generate text from specified domains by passing control codes to the model.
Applied use cases
YouTuber charged loads of fans $199 for shoddy machine-learning course that copy-pasted other people's GitHub code
It's no wonder that thousands flocked to an online course titled Make Money with Machine Learning fronted by Siraj Raval, a self-proclaimed AI educator, rapper, and entertainer with nearly 700,000 subscribers on YouTube.
TensorFlow 2.0 is now available!
Coding with TensorFlow 2.0 TensorFlow 2.0 makes development of ML applications much easier. With tight integration of Keras into TensorFlow, eager execution by default, and Pythonic function execution, TensorFlow 2.0 makes the experience of developing applications as familiar as possible for Python.
Ethics
AI ethics and the limits of code(s)
The arrival of hugely powerful technologies, in a wide range of fields, demands urgent attention to questions of right and wrong, power and abuse, bias and distortion.
We can’t trust AI systems built on deep learning alone
To create more capable and broadly intelligent machines, often referred to colloquially as artificial general intelligence, deep learning must be combined with other methods.
The Paths Perspective on Value Learning
But while difficult, estimating value is also essential to many approaches to RL.For many approaches (policy-value iteration), estimating value essentially is the whole problem, while in other approaches (actor-critic models), value estimation is essential for reducing noise.
Study Group: Artificial Intelligence Governance and Human Rights
Governments have included human rights obligations in their AI strategies, the IEEE lists human rights as a first principle for ethical AI design, and tech companies have appealed to international human rights law...
Research
Introducing the CodeSearchNet challenge
Unlike natural language processing with GLUE benchmarks, there is no standard dataset suitable for code search evaluation.
Bias and Generalization in Deep Generative Models
With recent progress, many types of learning algorithms (such as GANs [2], VAEs and Flow Models [3,4]) can learn distributions whose samples are highly visually appealing images such as the ones below [2].