KREUZADER (Posts tagged Google)

Happy Fun Algorithmic Warfare Cross-Functional Team“ “Project Maven” is the DARPA boondoggle by which Google has become a defense contractor (the one that has gotten some press because a dozen or so Google employees recently resigned over it).
It’s a... — Happy Fun Algorithmic Warfare Cross-Functional Team
“Project Maven” is the DARPA boondoggle by which Google has become a defense contractor (the one that has gotten some press because a dozen or so Google employees recently resigned over it).
It’s a *gigantic* boondoggle, so it’s not clear what all falls under its umbrella, but it sounds like something like, “We have collected so much data with our Cybers, why can’t I hold all these limes? Maybe rub some of that AI or the Neurals onto it??”
Which probably translates to, “Take your ad-targetting snake-oil and repurpose it to execute brown people with drones”. You know, kind of like how Wehrner von Braun aimed for the stars, but mostly hit London.
So, this is their logo.
The motto is something like, “we’re here to help”.
In a long history of DOD mission patches… this is certainly one of them.

Source: jwz.org

google darpa

The video was made in late 2016 by Nick Foster, the head of design at X (formerly Google X) and a co-founder of the Near Future Laboratory. The video, shared internally within Google, imagines a future of total data collection, where Google helps nudge users into alignment with their goals, custom-prints personalized devices to collect more data, and even guides the behavior of entire populations to solve global problems like poverty and disease.
[…]
Foster envisions a future where “the notion of a goal-driven ledger becomes more palatable” and “suggestions may be converted not by the user but by the ledger itself.” This is where the Black Mirror undertones come to the fore, with the ledger actively seeking to fill gaps in its knowledge and even selecting data-harvesting products to buy that it thinks may appeal to the user. The example given in the video is a bathroom scale because the ledger doesn’t yet know how much its user weighs. The video then takes a further turn toward anxiety-inducing sci-fi, imagining that the ledger may become so astute as to propose and 3D-print its own designs. Welcome home, Dave, I built you a scale.

Source: theverge.com

google

Source: Gizmodo

google

google artificial intelligence neural networking machine learning

An Augmented Reality Microscope for Cancer Detection
“ Today, in a talk delivered at the Annual Meeting of the American Association for Cancer Research (AACR), with an accompanying paper “An Augmented Reality Microscope for Real-time Automated... — An Augmented Reality Microscope for Cancer Detection
Today, in a talk delivered at the Annual Meeting of the American Association for Cancer Research (AACR), with an accompanying paper “An Augmented Reality Microscope for Real-time Automated Detection of Cancer” (under review), we describe a prototype Augmented Reality Microscope (ARM) platform that we believe can possibly help accelerate and democratize the adoption of deep learning tools for pathologists around the world. The platform consists of a modified light microscope that enables real-time image analysis and presentation of the results of machine learning algorithms directly into the field of view. Importantly, the ARM can be retrofitted into existing light microscopes found in hospitals and clinics around the world using low-cost, readily-available components, and without the need for whole slide digital versions of the tissue being analyzed.

augmented reality machine learning google neural networking artificial intelligence

berniesrevolution

u.s. politics google saudi arabia

‘The Business of War’: Google Employees Protest Work for the Pentagon“WASHINGTON — Thousands of Google employees, including dozens of senior engineers, have signed a letter protesting the company’s involvement in a Pentagon program that uses... — ‘The Business of War’: Google Employees Protest Work for the Pentagon
WASHINGTON — Thousands of Google employees, including dozens of senior engineers, have signed a letter protesting the company’s involvement in a Pentagon program that uses artificial intelligence to interpret video imagery and could be used to improve the targeting of drone strikes.
The letter, which is circulating inside Google and has garnered more than 3,100 signatures, reflects a culture clash between Silicon Valley and the federal government that is likely to intensify as cutting-edge artificial intelligence is increasingly employed for military purposes.

Source: The New York Times

dod google artificial intelligence

Under the hood: How Chrome’s ad filtering works “ Although a few of the ad experiences that violate the Better Ads Standards are problems in the advertisement itself, the majority of problematic ad experiences are controlled by the site owner — such... — Under the hood: How Chrome’s ad filtering works
Although a few of the ad experiences that violate the Better Ads Standards are problems in the advertisement itself, the majority of problematic ad experiences are controlled by the site owner — such as high ad density or prestitial ads with countdown. This result led to the approach Chrome takes to protect users from many of the intrusive ad experiences identified by the Better Ads Standards: evaluate how well sites comply with the Better Ads Standards, inform sites of any issues encountered, provide the opportunity for sites to address identified issues, and remove ads from sites that continue to maintain a problematic ads experience.

google advertising

fishmech

autumngracy:
“ the-x-button:
“ atomictiki:
“Just a sec. Gotta log into GMail
”
what the fuck
”
WHAT
”

garfield google

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm“ The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated... — Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play. In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.

Source: arxiv.org

google deepmind artificial intelligence alphago alphago zero reinforcement learning machine learning

JPL engineers put together a drone race to find which is faster – a drone operated by a human or one operated by artificial intelligence. The race capped two years of research into drone autonomy funded by Google.

nasa google drone artificial intelligence

Google collects Android users’ locations even when location services are disabled“The cell tower addresses have been included in information sent to the system Google uses to manage push notifications and messages on Android phones for the past 11... — Google collects Android users’ locations even when location services are disabled
The cell tower addresses have been included in information sent to the system Google uses to manage push notifications and messages on Android phones for the past 11 months, according to a Google spokesperson. They were never used or stored, the spokesperson said, and the company is now taking steps to end the practice after being contacted by Quartz. By the end of November, the company said, Android phones will no longer send cell-tower location data to Google, at least as part of this particular service, which consumers cannot disable.

Source: qz.com

google android privacy

AlphaGo Zero: Learning from scratch“A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the... — AlphaGo Zero: Learning from scratch
A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves using deep neural networks. These neural networks were trained by supervised learning from human expert moves, and by reinforcement learning from self-play. Here we introduce an algorithm based solely on reinforcement learning, without human data, guidance or domain knowledge beyond game rules. AlphaGo becomes its own teacher: a neural network is trained to predict AlphaGo’s own move selections and also the winner of AlphaGo’s games. This neural network improves the strength of the tree search, resulting in higher quality move selection and stronger self-play in the next iteration. Starting tabula rasa, our new program AlphaGo Zero achieved superhuman performance, winning 100–0 against the previously published, champion-defeating AlphaGo.

Source: deepmind.com

deepmind google artificial intelligence neural networking alphago

Artificial Intelligence Learns to Learn Entirely on Its Own“A mere 19 months after dethroning the world’s top human Go player, the computer program AlphaGo has smashed an even more momentous barrier: It can now achieve unprecedented levels of mastery... — Artificial Intelligence Learns to Learn Entirely on Its Own
A mere 19 months after dethroning the world’s top human Go player, the computer program AlphaGo has smashed an even more momentous barrier: It can now achieve unprecedented levels of mastery purely by teaching itself. Starting with zero knowledge of Go strategy and no training by humans, the new iteration of the program, called AlphaGo Zero, needed just three days to invent advanced strategies undiscovered by human players in the multi-millennia history of the game. By freeing artificial intelligence from a dependence on human knowledge, **the breakthrough removes a primary limit on how smart machines can become.**
[…]
After three days of training and 4.9 million training games, the researchers matched AlphaGo Zero against the earlier champion-beating version of the program. AlphaGo Zero won 100 games to zero.
To expert observers, the rout was stunning. Pure reinforcement learning would seem to be no match for the overwhelming number of possibilities in Go, which is vastly more complex than chess: You’d have expected AlphaGo Zero to spend forever searching blindly for a decent strategy. **Instead, it rapidly found its way to superhuman abilities.**

Source: quantamagazine.org

artificial intelligence alphago google deepmind

Google wants to own the future of TV ad infrastructure“Google has attempted to wedge its way into TV several times over the last decade, with very mixed results. But over the last six months or so, Google has been quietly and deliberately trying to... — Google wants to own the future of TV ad infrastructure
Google has attempted to wedge its way into TV several times over the last decade, with very mixed results. But over the last six months or so, Google has been quietly and deliberately trying to sell its ad serving software to big TV and video players.
That puts Google directly in competition with cable giant Comcast – which owns Freewheel, the leader in delivering ads to people who stream TV shows on the web.

Source: Business Insider

comcast google television advertising

KREUZADER (Posts tagged Google)

See, that’s what the app is perfect for.