social networking


Amazon has developed an AI fashion designer

#artificialintelligence

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.


Amazon Has Developed an AI Fashion Designer

MIT Technology Review

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.


Instagram photos reveal predictive markers of depression

#artificialintelligence

Instagram posts made by individuals diagnosed with depression can be reliably distinguished from posts made by healthy controls, using only measures extracted computationally from posted photos and associated metadata. In studies associating mood, color, and mental health, healthy individuals identified darker, grayer colors with negative mood, and generally preferred brighter, more vivid colors [16–19]. Instagram posts made by depressed individuals prior to the date of first clinical diagnosis can be reliably distinguished from posts made by healthy controls. The authors analyzed 118 studies that evaluated general practitioners' abilities to correctly diagnose depression in their patients, without assistance from scales, questionnaires, or other measurement instruments.


Andrew Ng's Next Project Takes Aim at the Deep Learning Skills Gap

WIRED

Deeplearning.ai is home to a series of online courses Ng says will help spread the benefits of recent advances in machine learning far beyond big tech companies such as Google and Baidu. His prominence comes from work on deep learning at Stanford and Google's X Labs that helped prove machine learning could do transformational things for businesses. Now there aren't enough people with machine learning skills to go around. More than 100,000 people have started a deep learning course offered by Fast.ai, a startup focused on widening use of AI.


Pilotless planes are coming but most people won't fly in one

USATODAY

The airline industry could save an estimated $35 Billion with pilotless planes, but the public does not like the idea. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. The airline industry could save an estimated $35 Billion with pilotless planes, but the public does not like the idea.


Hey Siri, why can't I use you on more apps?

USATODAY

Last summer, Apple was busy advertising its latest move to beef up Siri, the personal digital assistant for the iPhone, iPad and Mac computers. While Apple says Siri works with YouTube, the results are wanting: Ask Siri to play a specific YouTube playlist, it tells you it can't find that playlist in your Apple Music. Slow uptake by app developers risks further denting Siri's credibility, already bruised by the growth of Alexa and ambitious advance of rival Google Assistant on Android phones and the Google Home speaker. On Apple's Siri webpage, the company lists under 100 possibilities to use Siri, from setting calendar appointments, searching photos on Pinterest and booking rides on Lyft.


This Hedge Fund Has A Unique AI Crowdsourcing Token

International Business Times

Crowdsourced investment strategies are many and varied, but Numerai crowdsources machine intelligence in a totally unique way by supplying its network of data scientists with encrypted data on which to test their machine learning models, thus removing any bias attached to the application of the algorithms. NMR tokens were not sold like a typical initial coin offering, but rather 1.2 million of the tokens (a cap of 21m has been stated) were distributed via smart contracts on Ethereum, only to participating data scientists. All this value pumped into the tokens at once presented a number of immediate risks to the ecosystem, offering a huge bounty to hackers and threatening its carefully aligned goals; a worry aired on discussion forums was that speculation around the coins could ultimately detract from their primary function - to get create good models and garner network effect. When a data scientist accesses the test set multiple times and uses that score as feedback for model selection, there's a risk of training a model that overfits the test set.


Why do some neighborhoods improve?

MIT News

Four years ago, researchers at MIT's Media Lab developed a computer vision system that can analyze street-level photos taken in urban neighborhoods in order to gauge how safe the neighborhoods would appear to human observers. They find that density of highly educated residents, proximity to central business districts and other physically attractive neighborhoods, and the initial safety score assigned by the system all correlate strongly with improvements in physical condition. The system that assigned the safety ratings was a machine-learning system, which had been trained on hundreds of thousands of examples in which human volunteers had rated the relative safety of streetscapes depicted in pairs of images. Similarly, the prevalence of buildings with street-facing windows also appeared to increase neighborhoods' safety scores.


AI in Action: How algorithms can analyze the mood of the masses

Science

With billions of users and hundreds of billions of tweets and posts every year, social media has brought big data to social science. It has also opened an unprecedented opportunity to use artificial intelligence (AI) to glean meaning from the mass of human communications. The University of Pennsylvania's Positive Psychology Center, for example, uses machine learning and natural language processing to sift through gobs of data to gauge the public's emotional and physical health, including levels of depression and trust, and several personality traits. But social media data is cheap and abundant.


Hedge Funds Look to Machine Learning, Crowdsourcing for Competitive Advantage

#artificialintelligence

A session on Tuesday featured Christina Qi, the co-founder of a high-frequency trading firm called Domeyard LP; Jonathan Larkin, an executive from Quantopian, a hedge fund taking a data-driven systematic approach; and Andy Weissman of Union Square Ventures, a venture capital firm that has invested in an autonomous hedge fund. Many of the world's largest hedge funds already rely on powerful computing infrastructure and quantitative methods--whether that's high-frequency trading, incorporating machine learning, or applying data science--to make trades. Some have begun to incorporate machine learning into their systems, hand over key management decisions to troves of data scientists, and even crowdsource investment strategies. Domeyard can't incorporate machine learning, Qi says, because machine learning programs are generally optimized for throughput, rather than latency.