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Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art

arXiv.org Artificial Intelligence

This article is about the cognitive science of visual art. Artists create physical artifacts (such as sculptures or paintings) which depict people, objects, and events. These depictions are usually stylized rather than photo-realistic. How is it that humans are able to understand and create stylized representations? Does this ability depend on general cognitive capacities or an evolutionary adaptation for art? What role is played by learning and culture? Machine Learning can shed light on these questions. It's possible to train convolutional neural networks (CNNs) to recognize objects without training them on any visual art. If such CNNs can generalize to visual art (by creating and understanding stylized representations), then CNNs provide a model for how humans could understand art without innate adaptations or cultural learning. I argue that Deep Dream and Style Transfer show that CNNs can create a basic form of visual art, and that humans could create art by similar processes. This suggests that artists make art by optimizing for effects on the human object-recognition system. Physical artifacts are optimized to evoke real-world objects for this system (e.g. to evoke people or landscapes) and to serve as superstimuli for this system.



Human in the Loop at Data Day Texas

#artificialintelligence

Wikipedia defines Human in the Loop (HITH) as a model that requires human interaction. HITL is associated with modeling and simulation (M&S) in the live, virtual, and constructive taxonomy. HITL models may conform to human factors requirements as in the case of a mockup. In this type of simulation a human is always part of the simulation and consequently influences the outcome in such a way that is difficult if not impossible to reproduce exactly. HITL also readily allows for the identification of problems and requirements that may not be easily identified by other means of simulation.


#FinServ_2019-11-14_11-31-13.xlsx

#artificialintelligence

The graph represents a network of 2,353 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 November 2019 at 19:32 UTC. The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 5-day, 13-hour, 33-minute period from Tuesday, 05 November 2019 at 11:26 UTC to Monday, 11 November 2019 at 01:00 UTC.


Asus Hooks Up With Google to Create Tinker Board for AI

#artificialintelligence

Asus Japan announced this week that it'll show off two new single-board computers at the upcoming ET & IoT Technology 2019 event kicking off November 20 in Yokohama, Japan. The latest Tinker Edge T and Tinker Edge R are designed specifically for IoT (Internet of Things) and edge AI applications. The Tinker Edge T measures 85 x 56mm, which is around the size of a credit card. Both single-board computers depend on a small heatsink with an accompanying cooling fan to stay cool during operation. The system also relies on the Vivante GC7000 Lite 3D graphics engine and Google's Coral Edge tensor processing unit (TPU), which is optimized for Tensorflow Lite and boasts performance up to 4 tera operations per second (TOPS). The Tinker Edge R employs a Rockchip RK3399 Pro system on chip (SoC) that boasts a three-in-one design.


Why finance should embrace Industry 4.0 - BBrief

#artificialintelligence

As we progress further into Industry 4.0, finance needs to further leverage new technologies to add real value to a business's bottom-line, yet it remains in its infancy stages. Industry 4.0 has impacted a range of industries, and with the digitisation of industrial value chains, many forget about finance, which has only touched the tip of the iceberg when it comes to leveraging new technologies. Disruptive technologies such automation, artificial intelligence (AI), the Internet of Things (IoT), Bots, blockchain and machine learning are thrusting the global economy into a new digital era. Instead of seeing all these new developments in isolation, finance must focus rather on connection points, finding ways to optimise them to provide greater value to the organisation. Companies risk losing ground if they do not understand the changes and opportunities Industry 4.0 brings.


Business must engage with consumers to boost AI

#artificialintelligence

A study by the University of London and Vanson Bourne for WP Engine has concluded that transparency, trust and humanness are key drivers to unlock value in artificial intelligence (AI). The study, which surveyed consumers and enterprise companies with 1,000 employees or more in the US, the UK and Australia, found a large proportion of businesses are already well on their way towards widespread AI implementation. Chris Brauer, director of innovation at Goldsmiths, University of London, said: "Our research shows enterprises investing in AI are already seeing astounding return on investment and performance outcomes. Consumers are demanding that innovating with AI in digital experiences clearly prioritises and expresses values around privacy, trust, and transparency. "Only by laying a solid foundation of ethics and values that guide the implementation of all facets of an AI solution will companies truly be able to fully harness the value of AI." The study reported that 85.5% of businesses ...


China selling deadly AI 'Blowfish' drones that decide who lives and who dies to Middle East war zones

#artificialintelligence

CHINA is selling deadly'Blowfish' drones which can decide who lives and who dies to armies in the war-torn Middle East, say reports. The unmanned war machines are capable of launching autonomous strikes with their arsenal of mortar shells, grenade launchers and machine guns. They are said to be "impossible to defend" against and the Pentagon has already made it clear it fears they will end up in the wrong hands. Some military experts fear the proposed sale of the AI mini-choppers will spark even more bloodshed in the troubled region, reports news.com. "They would be impossible to defend yourself against," warns University of New South Wales Professor of Artificial Intelligence Toby Walsh.


Chinese killer robots sold to Middle East will leave 'every human dead'

#artificialintelligence

China is selling its most advanced "fully autonomous" military drones with fears that it could lead to a bloodbath in the Middle East. The Asian superpower is reportedly selling AI-enhanced combat drones to the region, with potentially disastrous consequences. Prof Toby Walsh, of the University of NSW, in Australia, said: "They would be impossible to defend yourself against. "Once the shooting starts, every human on the battlefield will be dead." US Defence Sec Mark Esper has said that China is selling drones programmed to decide themselves who lives or dies. He told a conference on Artificial Intelligence: "As we speak, the Chinese government is already exporting some of its most advanced military aerial drones to the Middle East as it prepares to export its next generation stealth UAVs when those come online.


AntWorks partners with SEED Group to drive adoption of Artificial Intelligence in the GCC

#artificialintelligence

AntWorks, a global provider of artificial intelligence and intelligent automation solutions powered by fractal science, today announced an exclusive partnership with the SEED Group, a member of The Private Office of Sheikh Saeed bin Ahmed Al Maktoum. The partnership will support expansion of intelligent automation within the Middle East (ME), a region where AI is expected to become a US$320 billion by 2030. The SEED Group establishes groundbreaking companies with a strong presence in the Gulf Cooperation Council (GCC) and will work with AntWorks to offer ethical AI solutions for GCC companies with ANTsteinTM SQUARE, the world's first and only Integrated Automation Platform (IAP), powered by fractal science. AntWorks seek to replicate its success across Asia, the UK and US, where the organisation has automated entire business processes end-to-end for many clients across the BFSI (Banking, Financial Services and Insurance), transportation, logistics and public sector, among others. With successful adoption of AntWorks' IAP solution, businesses will stand to save millions and realise increased performance and efficiency by automating and processing business data, including unstructured data, which will make up 80% of the world's data by 2025.