Artificial Intelligence Weekly – Issue #134: I'm the Google whistleblower. The medical data of millions of Americans is at risk – Nov 21st 2019

In the News

I'm the Google whistleblower. The medical data of millions of Americans is at risk

But over time I grew increasingly concerned about the security and privacy aspects of the deal.
Google’s secret cache of medical data includes names and full details of millions – whistleblower Read more With a deal as sensitive as the transfer of the personal data of more than 50 million Americans…


MITRE ATT&CK: Enhancing Your Security Posture

Join Red Canary and VMware Carbon Black for a live webinar in which you will learn how to validate coverage, identify gaps in your environment and implement mitigation to reduce attack surface – all using the MITRE ATT&CK Framework.

In The News

Artificial Intelligence Has a Strange New Muse: Our Sense of Smell

As a car navigates a new environment in real time — an environment that’s constantly changing, that’s full of noise and ambiguity — deep learning techniques inspired by the visual system might fall short.
“Maybe we can do fantastic stuff with olfaction, too.” Random and Sparse Networks Olfaction…

Where AI and ethics meet

The field of AI ethics is generally broken into two areas: one concerning the ethics guiding humans who develop AIs, and the other machine ethics, guiding the moral behaviour of the AIs or robots themselves.


The Week in Tech: Algorithmic Bias Is Bad. Uncovering It Is Good.

First, it came to light that the algorithm that calculates credit quotas for Apple’s new credit card may give higher limits to men than to women.

Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms

Automated risk assessments used by U.S. judges to determine bail and sentencing limits can generate incorrect conclusions, resulting in large cumulative effects on certain groups, like longer prison sentences or higher bails imposed on people of color.

Applied use cases

Opinion: AI For Good Is Often Bad

After speaking at an MIT conference on emerging AI technology earlier this year, I entered a lobby full of industry vendors and noticed an open doorway leading to tall grass and shrubbery recreating a slice of the African plains.

Teaching a neural network to use a calculator

Generating intermediate steps To generate intermediate steps, we modify the Mathematics Dataset generation code to procedurally generate question-intermediate step (IS) pairs, instead of the original question-answer pairs.

Top AI & Machine Learning Research Papers From 2019

Our results suggest that future work on disentanglement learning should be explicit about the role of inductive biases and (implicit) supervision, investigate concrete benefits of enforcing disentanglement of the learned representations, and consider a reproducible experimental setup covering…


Within 10 Years, We’ll Travel by Hyperloop, Rockets, and Avatars

Try Hyperloop, rocket travel, and robotic avatars.
Hyperloop is currently working towards 670 mph (1080 kph) passenger pods, capable of zipping us from Los Angeles to downtown Las Vegas in under 30 minutes.

Keynote speakers at Healthcare Robotics Engineering Forum to highlight successes, opportunities

The keynote sessions at the inaugural Healthcare Robotics Engineering Forum will emphasize how robotics technologies are improving the delivery and quality of healthcare services and clinical outcomes.

AI update, late 2019 – wizards of Oz

At high valuations the preferred stock effectively becomes same with common stock and common stock holders and option holders can cash out.


BodyPix: Real-time Person Segmentation in the Browser with TensorFlow.js

BodyPix 2.0 has been released, with multi-person support and improved accuracy (based on ResNet50), a new API, weight quantization, and support for different image sizes.

Dealing With Bias in Artificial Intelligence

But social bias can be reflected and amplified by artificial intelligence in dangerous ways, whether it be in deciding who gets a bank loan or who gets surveilled.

Advanced machine learning helps Play Store users discover personalised apps

In collaboration with Google Play, our team that leads on collaborations with Google has driven significant improvements in the Play Store’s discovery systems, helping to deliver a more personalised and intuitive Play Store experience for users.

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