Is AI art really art? This California show says yes



CNN Business

With the increasing popularity of artificial intelligence for image generation, prof question has rolled Art World: Can AI create art?

At the bitforms show in San Francisco, the answer is yes. An exhibition called Artificial Imagination runs through late December and features works created or inspired by the DALL-E generative AI system as well as other types of AI. with DALL-E and other similar systems such as Stable Diffusion or Midjourney-User can write words and restore an image.

Stephen Sachs, who founded the original Bitforms gallery in New York in 2001 (the San Francisco location opened in 2020), has always focused on working with artists at the intersection of Art and technology. But this may be the first art presentation focused on DALL-E, created by OpenAI, and the first by Sacks that focuses directly on work created with AI, he told CNN Business.

The use of technologies such as 3D printing and Photoshop is common in art. But new text-to-image systems like DALL-E, Stable Diffusion, and Midjourney can produce great-looking images at lightning speed, unlike anything the art world has seen before. In just a matter of months, millions of people have flocked to these AI systems and they are already being used to create experimental films, magazine covers, and photos to illustrate news stories. However, as these systems are gaining ground, they are also generating controversy. For example, when an image created with Midjourney recently won an art competition at the Colorado State Fair, it caused an uproar among artists.

For Sachs, generative AI systems such as DALL-E are “just another tool,” he said, noting that throughout history artists have used past works to create new work in various ways.

“He’s a great partner creatively,” he said.

“Artificial Fiction” spans multiple media and different styles, and includes artists known for using technology in their work, such as Anatolian companion, and others more recent in it. They range from Anadol’s 30-minute computer video loop in an ever-changing landscape to Marina Zorko’s bright photo collages, created with the help of DALL-E, that resemble Soviet propaganda mixed with old-fashioned stories.

Sacks said The exhibition, which is presented by bitforms and venture capital firm Day One Ventures, is in many ways an educational show about the state of DALL-E and how artists use AI.

Marina Zurkov used DALL-E to help create the 2022 trailer

Many of the pieces are more explicit in their use of artificial intelligence, and DALL-E in particular, like August Kamp’s 2022 print, “New Experimental, State of the Art,” which looks like a close-up of a futuristic retro stereo on a spaceship. Camp said she began creating it by writing what she calls a primer — a string of words like “grainy,” “detailed,” “cinematic,” “fixed film” — intended To evoke the aesthetic she wanted, which in this case was meant to look like she was watching a movie and had paused it, she said. Then she added lyrics in hopes of generating electronic synthesizers that “sounded as weird as they sound,” she says.

The final piece is a combination of the 30 or so different images created, which were outnumbered Section by Section – A process that uses artificial intelligence to enlarge the image by adding more elements to it. Kamp also used Photoshop to edit the overall image.

Camp noted that the general idea of ​​art galleries gives off a sense that good art is rare, but she sees generative AI tools like DALL-E as a way to get people to think that art can be abundant (like making it) so that anyone can wake up from a vivid dream, write a description of what he imagined, and create a picture that expresses his thoughts).

She said, “For me, art should be very abundant because I see it as an expression of love and feelings, which I think are abundant things.”

Alexandre Repin, Ceci N'est Pas Une Barriere, 2020.

Some of the pieces on display use AI in an indirect (and perhaps silly) way, such as the 2020 sculpture by Alexander Repin It’s called “Cesi N’est Pas Une Barriere”. Repin used artificial intelligence as a kind of art director: he used a GPT-3 text generator and a custom set of algorithms to generate a description of a non-existent artwork that hung on the wall of a gallery of bitforms. It includes the title, the name of a fictional artist – Norifen Storgenberg, listed as “Swedish, born 1973” – and text like “It’s very homegrown, and yet it’s very oppressive” and “The police case use of handcuffs is striking. In the context of society, they are used To restrain the prisoners, however, they are used here to create a barrier between the viewer and the action.”

Repin built his sculpture, also hanging on the wall, around description, with elements including green roof panels, porch light, metal grab bars, and handcuffs.

“I just wanted to show it out there: There’s a group of artists, and here are different ways of presenting this kind of work, living with that kind of work, connecting with that kind of work,” Sachs said. “I wanted people to ask questions about it.”

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BluWave-ai launches EV Fleet Orchestrator’s SaaS product to

OTTAWA, ON, Nov. 17, 2022 (GLOBE NEWSWIRE) — BluWave-ai announces that version 2.0 of its BluWave-ai EV Fleet Orchestrator™ launches today with $1.7 million in co-financing support from FedDev Ontario. Now available, this software-as-a-service (SaaS) product supports vehicle fleet operators as they electrify their operations. These operators include local mass transit, last-mile delivery, airport ground support, corporate vehicle fleets and for revenue electric vehicle (EV) fleet operations such as taxis.

EV Fleet Orchestrator™ is built on BluWave-ai’s AI-based energy optimization platform and leverages its IP portfolio, reducing the total cost of operations and carbon footprint of fleet operations with battery-powered hybrid electric and fossil fuel vehicles running out of buildings, warehouses, or Regional networks of warehouses / hubs. The product manages direct operation of electric vehicle transportation systems, including vehicle operation and building/warehouse electricity usage management, including real-time market price management and maximum shaving targets.

The product also provides simulation of fleet operations to help plan and quantify capital assets such as number/types of chargers, numbers of electric vehicles, warehouse energy storage, and renewable domestic generation.

Effectively managing the operation and charging of electric vehicle fleets in real time is a very complex task, requiring the intelligent coordination of separate but interrelated systems. This includes building energy management, local generation and storage, and energy procurement, as well as meeting service levels and lead time requirements.

BluWave-ai EV Fleet Orchestrator™ optimizes energy costs in real time by integrating multiple fleet and energy operations parameters, providing comprehensive visibility and coordinated energy dispatch/freight control, scheduling and fixed energy assets. This optimization includes managing peak loads in warehouses to reduce network demand and capital infrastructure requirements. It integrates data from weather feeds, building electrical systems, electricity market rates, chargers, traffic, and vehicle telematics information, including vehicle charge status, location, speed, and range to empty. These datasets are sourced directly from and from historical processes that integrate with BluWave-ai Atlas to enable AI-ready EV fleet coordination.

“Over the past five years, BluWave-ai has been building here in Ottawa one of the world’s leading companies at the intersection of renewable energy, transportation electrification, decarbonization, data and artificial intelligence. We are leveraging the talents of Canadian AI researchers, and building Paul, CEO and Founder of BluWave-ai: “We see all the capital expenditures on EV fleets, but then the fleet operators let the EVs parked. They’re sending diesel miles to the road because they don’t quite understand when to charge and when to drive, with that 1.7 grant. With $1 million from the Federal Dave Ontario Reserve, we will be able to leverage the capabilities of our EV Fleet Orchestrator™ AI product with fleet operators in the Canadian, US, European and Indian markets.”

To date, BluWave-ai has completed analysis and simulation of Dubai taxi fleet operations which have shown an initial 13% reduction in emissions and energy costs as an example of the benefits to fleet operators. In addition to building a SaaS product, BluWave-ai has tested the technology in its OCPP-controlled live charger lab, “The Flight Test Center,” integrated with multiple shippers where features are tested and stabilized prior to live fleet operations.

FedDev Ontario is offering a repayable interest-free loan of $1.7 million as part of a larger $6 million project. This support supports testing, making BluWave-ai EV Fleet Orchestrator the highest stage ready to breed for multiple global markets. This will also create an additional 50 positions with private investor and corporate investor funding as part of BluWave-ai’s current Series A round.

The Honorable Mr. Philomena Tassi, Minister Responsible for the Federal Economic Development Agency for Southern Ontario, said. “Helping businesses innovate so they can increase their competitiveness and create quality jobs will continue to be a priority for our government. Investments like these ensure that tech hubs like Ottawa will continue to attract new investment and contribute to the growth of the economy.”

“The Ottawa tech industry has been at the forefront of transforming a variety of industries from telecoms to networking, to artificial intelligence and cloud-based software solutions,” said Michael Tremblay, President and CEO of Invest Ottawa. “With BluWave-ai, we are excited to lead a global energy transition that combines all of those skills Ottawa is known for and use them to influence the climate impact with renewable energy and electric vehicles. As the rest of the world plans for COP27, BluWave-ai has already put together many of the building blocks product core to drive the energy transition globally and leverage key local engineering talents located in our city.”

BluWave-ai offers five days of free world data and optimization services to qualified fleet operators who want infrastructure analysis, capital and operational planning for electric vehicle rides on a first-come, first-served basis. Contact info@bluwave-ai.com to apply for this offer.

Contact Information:
Brandon Paul
marketing manager
brandon.paul@bluwave-ai.com

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Image 1: BluWave-ai EV Orchestrator launch powered by FedDev Ontario

Product raises patents granted and filed by USPTO, supported by $1.7 million co-investment from FedDev Ontario

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Embedded AI localizes data processing for greater speed and security | Research & Technology | November 2022

Dresden, Germany, November 17, 2022 – The Fraunhofer Institute for Photonic Microsystems (IPMS) aims to support safer and faster data processing by integrating machine learning algorithms into digital devices.

Although AI-enabled devices are tightly integrated with daily life, processing of data inputs takes place on large external servers. Included Artificial intelligence Edge AI is set to change this by allowing these processing tasks to be done directly on the device. However, AI performance, especially on very small devices, has so far been limited.


Fraunhofer IPMS integrates artificial intelligence into microsensors and actuators. Courtesy of Fraunhofer IPMS.


The researchers at Fraunhofer IPMS are working to remedy this through networking experiences and developments from disparate areas of research. For example, in an internal institute project, findings from microsensor and actuator technology were combined with the latest in nanoelectronics, wireless communications, and processor developments.

The combination enables pre-processing of signals associated with a sensor or actuator using AI-based methods, providing advantages in lower latency processing and more secure data processing while avoiding the need for network connectivity. In addition, the use of AI edge data processing will enable local re-learning in the field, so that the system can be optimized for specific on-site conditions.

Fraunhofer IPMS's Li-Fi GigaDock enables optical data transmission of large amounts of data at low latency.  Courtesy of Fraunhofer IPMS.


Fraunhofer IPMS’s Li-Fi GigaDock enables optical data transmission of large amounts of data at low latency. Courtesy of Fraunhofer IPMS.


Applications of this technology include spectrometers, ISFET (Ion Sensitive Field Effect Transistor) sensors, ultrasound imaging for state monitoring, gesture control, or environment recognition for collaborative robots.

To support the integration of edge AI technology across sensor and actuator technologies, the researchers extended the existing EMSA5 RISC-V computing platform, with Tensorflow Lite-based AI functionality. Fraunhofer showed the setup at the Electronica trade fair in Munich on November 15-18. The researchers also presented some of the institute’s latest developments in the field of core technology for intellectual property and optical wireless data transmission in electronica.

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AI surveys Instagram, ranks Denver among the happiest cities in the US

Denver (KDVR) — If Netflix’s “Black Mirror” teaches viewers anything, it’s that keeping the AI ​​at arm’s length may help you avoid starring in your personal Twilight Zone dilemma.

But now, researchers have avoided that concern and instead are collaborating with artificial intelligence to analyze faces in order to rank the 100 largest cities in the country in order to discover the happiest cities.

How are these ratings scheduled?

(Image source: Doug Pensinger/Getty Images)

With the help of Microsoft’s face recognition API known as I visitAnd the House Fresh Compile several of the best lists, including one that named Colorado the third happiest state in the country.

To generate these ratings, House Fresh used its facial recognition tool to scan Instagram photos taken in each of those cities and give them a happiness score between 0 and 1 that rates the “person pictured”Emotions based on characteristics and expressions. ”

After all the pictures in a given city were given a happiness score, an average was tabulated, which was used to compare with other countries.

Another ranked list generated by Azure Image Survey revealed that Colorado as a whole was also among the top 10 “smartest” states in the nation.

Denver ranks among the happiest cities in the nation

Dallas Cowboys x Denver Broncos
(Image source: Dustin Bradford/Getty Images)

When it comes to a less extensive ranking list, Azure has been the least rewarding to the Colorado capital in the city rankings.

According to these results, Mile High City was considered less happy than the state as a whole, falling from 16th place.

House Fresh: The 20 Best Cities in the US

Below are those ratings with the associated happiness score ranging between 0 and 1.

  1. Concord, CA (79.14)
  2. Provo, Utah (74.95)
  3. Knoxville, Tenn. (74.72)
  4. Charleston, South Carolina (74.17)
  5. Mesa, Arizona (71.48)
  6. Cape Coral, Florida (70.89)
  7. Ogden, Utah (69.15)
  8. Nashville, Tennessee (68.31)
  9. Sarasota, Florida (66.78)
  10. New Orleans, Louisiana (65.87)
  11. Grand Rapids, Michigan (64.92)
  12. Des Moines, Iowa (64.86)
  13. Honolulu, Hawaii (64.74)
  14. Wichita, KS (64.26)
  15. San Francisco, California (62.13)
  16. Denver (61.11)
  17. Orlando, Florida (60.70)
  18. Tulsa, Okla (60.51)
  19. Pittsburgh, Pennsylvania (60.35)
  20. Baton Rouge, Louisiana (60.07)
(Image source: Ethan Miller/Getty Images)

Looking down this list, it looks like the least-smiling citizens of Denver have some work to do when it comes to improving their appearance, but counting them in the top 20% of any ranking is, more often than not, something to bear with all Pride.

This may be a hoax in the long run, but if this study is anything to do, it appears that AI is able to segment some moderately sophisticated data without sending the receiver into an existentially driven crisis.

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Microsoft introduces a new user interface experience for the computer vision experience with Vision Studio

Microsoft recently introduced a new user interface (UI) for developers called VisionStudio to try it Computer Vision API.

Computer Vision API is part of Microsoft View cognitive services in azure. The application programming interface (API) provides access to advanced algorithms for media processing and information return. Azure’s computer vision algorithms can analyze visual content differently based on user input and choices by loading a media asset or specifying a media asset URL. more Latest version 4.0 from API was Recently released in previewand its capabilities are built into Vision Studio.

Vision Studio aims to allow developers to explore, view, and evaluate features from Computer Vision, regardless of their coding experience. Moreover, they can access the documentation, SDK, REST API and view the supported languages ​​through the user interface.

Developers can try OCR (OCR), spatial analysisAnd the FaceAnd the Image analysis Computer vision services. They can optionally sign in with their Azure account or create one. Next, choose Service and create an optional resource. The latter allows developers to upload their own resources. As Kate Brown, Director of Programs at Microsoft, explains in Cognitive Services Blog Posts:

Each Vision PC feature contains one or more trial experiences in Vision Studio. To use your images in Vision Studio, you will need an Azure subscription and a Cognitive Services resource for authentication. Otherwise, you can try Vision Studio without logging in with our sample images. These experiments help you quickly test features using a no-code approach that provides both text and JSON responses.

Other public cloud vendors, such as AWS and Google, offer similar Computer Vision APIs on their platforms. Get to know AWS It offers free tutorials to try the capabilities, but an AWS account is required. Also, Google has an offer with The vision of artificial intelligence, which can be tested without logging in and by uploading custom images. Finally, according to a verified market source Report“Artificial Intelligence in the Computer Vision Market, Computer Vision Capabilities Market, Expected to Reach $2,05,104.8 Million by 2030, at a CAGR of 37.05% from 2023 to 2030” – hence the investments In this public knowledge services by cloud vendors.

More details about Computer Vision are available at Documents landing page. Instructions on how to use Vision Studio can be found in Microsoft Learn page.

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Quinnipiac researchers hope to advance artificial intelligence – NBC Connecticut

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AI: AI systems built by Meta outperformed the human experts in Diplomacy

In the first World War strategy game Diplomacy, two artificial intelligence systems built by Facebook Meta’s parent company outperformed humans.


technology



October 18 2022


AI has become good in many different games

shutterstock/PicMy

Two Meta-generated artificial intelligences can outsmart expert human players in the classic WWI strategy game Diplomacy. The AI ​​had to learn how to partially cooperate with other players, an element that most other game-playing AI systems do not have to take into account.

“There is a very unique advantage here that diplomacy is both collaborative and competitive, which makes it exciting,” he says Georgios Yanakakis At the University of Malta, who was not involved in the study.

Diplomacy involves…

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Awareness of Hong Kong on privacy risks in the field of artificial intelligence: experts

Speaking in SCMP Conversations: Artificial Intelligence and the Consumer Experience, speakers highlight the importance of setting boundaries around data collection.

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