Artificial Intelligence Weekly – Issue #145: How AI Will Turn Us All Into Filmmakers – Jan 30th 2020

In the News

How AI Will Turn Us All Into Filmmakers

As artificial intelligence sneaks its way into all corners of life—driving, finance, chatbots—everyday video will become ripe for an upgrade.


6 super focused cybersecurity newsletters launched: stay better informed

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In The News

New surveillance AI can tell schools where students are and where they’ve been

Recode has identified at least nine US public school districts — including the district home to Marjory Stoneman Douglas High School (MSD) in Parkland, Florida, which in 2018 experienced one of the deadliest school shootings in US history — that have acquired analytic surveillance cameras that come…

The AI delusion: why humans trump machines

Researchers in Artificial Intelligence (AI) today don’t set much store by the Turing Test.
Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus and Ernest Davis (Ballantine, £24) The Feeling of Life Itself: Why Consciousness is Widespread but Can’t Be Computed by Christof Koch…

Developments in Artificial Intelligence for Mental Health Care

The machine learning algorithm made at Vanderbilt University Medical Center in Nashville utilizes hospital admissions data, including age, gender, zip code, medication, and diagnostic history, to anticipate the probability of some random individual ending their own life.


Five Ways Companies Can Adopt Ethical AI

Employ a Chief AI Ethics Officer: Chief AI Ethics Officers would be able to guide companies in their use of AI, particularly some of the more controversial uses such as facial recognition and exploiting personal data.

Cambridge Science Festival examines the effects and ethics of artificial intelligence

In From policing to fashion: how the use of artificial intelligence is shaping our work (10 March), Alentina Vardanyan, Cambridge Judge Business School, and Lauren Waardenburg, KIN Center for Digital Innovation, Amsterdam, discuss the social and psychological implications of AI, from reshaping the…

Applied use cases

Machine Learning Confronts the Elephant in the Room

In a new study, computer scientists found that artificial intelligence systems fail a vision test a child could accomplish with ease.

Using artificial intelligence to enrich digital maps

A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to tag road features in digital maps could help improve GPS navigation.


Robots That Can See, Do, and Win, with Juxi Leitner

LYRO spun out of the 2017 win of the Amazon Robotics Challenge by Team ACRV.
Here Juxi discusses deep learning, computer vision, intent in grasping and manipulation, and bridging the gap between abstract and low-level understandings of the world.

What's New In Robotics? 24.01.2020

In this week’s news mix: Yamaha to enter cobot market, a piano-playing cobot and ABB showcases 5G-enabled cobots at Davos.

Bots & Beer with ANYmal

Don’t take my word for it, IEEE Spectrum is pretty impressed too!
But don’t by put off by the awesome ANYmal, we have open mic time if you bring your robot or robotics-related project, cause demos are always awesome.


GPT-2 and the Nature of Intelligence

–The AI system GPT-2, in a December 2019 interview with The Economist, “An artificial intelligence predicts the future” Innateness, empiricism, and recent developments in deep learning Consider two classic hypotheses about the development of language and cognition.

Artificial Intelligence, Values and Alignment

There are significant differences between AI that aligns with instructions, intentions, revealed preferences, ideal preferences, interests and values.

Contrastive Self-Supervised Learning

Generative vs Contrastive Methods Contemporary self-supervised learning methods can roughly be broken down into two classes of methods: Loss measured in the output space Examples: Colorization, Auto-Encoders Loss measured in the representation space Examples: TCN, CPC, Deep-InfoMax

Open-sourcing Polygames, a new framework for training AI bots through self-play

Polygames’ architecture makes it compatible with more kinds of games — including Breakthrough, Hex, Havannah, Minishogi, Connect6, Minesweeper, Mastermind, EinStein würfelt nicht!, Nogo, and Othello — than previous systems, such as AlphaZero and ELF OpenGo.

Going deep on deep learning with Dr. Jianfeng Gao

Today, Dr. Gao gives us an overview of the deep learning landscape and talks about his latest work on Multi-task Deep Neural Networks, Unified Language Modeling and vision-language pre-training.

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