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This camera turns photos into AI poetry

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Have you ever stood in front of a redwood tree and wondered, “Wouldn’t it be great if it was poetry instead of a tree?” Neither Joyce Kilmer. However, Kelin Carolyn Zhang and Ryan Mather decided to bridge the gap between AI technology and poetry with their fascinating idea – Poetic camera. The open source device combines cutting-edge technology with artistic vision, leading to a piece that pushes the boundaries of each fields.

At first glance, the Poetry Camera looks like just one other gadget within the ever-changing landscape of digital devices. However, upon closer inspection, it turns out that this isn’t any bizarre camera. Instead of simply capturing images, the Poetry Camera takes the concept of photography to a brand new level by generating thought-provoking poetry (or, well, as thought-provoking as AI poetry can get) based on the visuals it encounters.

Zhang and Mather, the creators of this project, seamlessly combined their knowledge of technology and art to create a tool that’s technically impressive and aesthetically fascinating.

The Poetry Camera story began as a private passion project for Zhang and Mather, who were captivated by the thought of ​​combining their love of technology with their appreciation of art. In the early stages of development, they spent countless hours tinkering with various components and experimenting with different AI models to bring their vision to life.

“The beginnings of the project date back to the moment I gained access to GPT-3. My first instinct was to play Dungeons & Dragons on it because I’m a nerd. I thought “if this thing could play Dungeons & Dragons, that would be impressive.” And yes, it worked. This was back when engineering needed to be done quickly. So it took some grease to make it work. But I also had the idea to make a camera as part of the project,” says Mather. “What if you picked up a camera, but it was a reaction to Instagram culture? What happens if text appears instead of a photo? … Everyone prefers the book version to the movie, so that’s what it’s like when it comes to capturing moments.”

As they perfected the prototype, Zhang and Mather began sharing their creation with family and friends at social gatherings. The reactions they received were simply amazing. People were fascinated by the concept of a camera that might generate poetry from what it saw. The device quickly became the focus, sparking full of life discussions and igniting the imagination of everyone who encountered it.

These initial reactions provided strong motivation for Zhang and Mather to further refine their invention. They realized that the Poetry Camera had the potential to bridge the gap between technology and art in a way that appealed to people. As word spread concerning the Poetry Camera, the duo was inundated with inquiries from curious individuals who desired to experience the device for themselves. This interest led them to contemplate turning their project into a possible industrial product, bringing the magic of the Poetry Camera to a wider audience.

Technique

At the guts of this progressive device is the Raspberry Pi, a single-board computer the dimensions of a bank card that packs loads of power. This small but powerful component serves because the brain of the poetry camera, allowing it to capture images and communicate with OpenAI’s GPT-4 to generate poetry.

The Raspberry Pi captures the image after which uses computer vision algorithms to research the visual data. AI models then interpret the image, identifying key elements, colours, patterns and emotions within the frame. This information serves as the idea for the poetry generation process.

Zhang turned the camera on our Zoom interview:

Ryan Mather and Kelin Carolyn Zhang in an interview along with your correspondent. Image credits: Zoom screenshot

And out got here the poem:

Poem generated and printed by Poetry Camera (transcript below). Image credits: Poetic camera

Behind the lens, a person corrects his eyesight
Within the square boundaries of pixel space.
Magnification of faces in a virtual place,
He left the rat race an extended time ago.

Daylight penetrates through faded curtains,
He holds lukewarm coffee in his hand.
Conversations drift across the virtual border,
His mirror image appears on the screen.

There are thin books on the shelf, quiet chatter,
A flowering plant, the one living matter.
With the glasses on, the home becomes his calm beater,
Within these partitions his world dissipated.

On this April morning in 2024.
New normal, worn calmly.

Zhang theorizes that the reference to “leaving the rat race” is a reference to my Hawaiian shirt.

The creators tell me that Poetry Camera’s output is just not limited to 1 format. Because the device is open source, users can select from quite a lot of poetry forms – akin to haiku, sonnet, or free verse – depending on their preferences and talent and willingness to interact with the source code.

As the Poetry Apparatus evolves, Zhang and Mather are exploring latest ways to expand its capabilities. They are continually refining and curating AI models, expanding device suggestions, and experimenting with advanced natural language processing techniques. The goal is to create a tool that generates poetry and engages in meaningful dialogue with users, fostering a deeper connection between technology and art.

The intersection of art and technology

The Poetry Camera is an affidavit to the incredible potential on the intersection of art and technology. Using the ability of artificial intelligence and machine learning, Zhang and Mather have created a tool that not only captures the great thing about the world around us, but additionally interprets it in a way that might be surprisingly moving. The technology is straightforward, but I really like the accessibility of Poetry Camera. It’s easy to dare to dream and push the boundaries of what technology can achieve.

Screens dominate our day by day lives; The Poetry Camera offers a refreshing departure from the norm. Instead of counting on a digital display to showcase your poetic achievements, the device uses a more tactile and immersive approach to interaction. The generated poems are printed on paper, making a physical embodiment of the artistic experience. With Poetry Camera, the temporary nature of art is pushed quite far.

Another sample poem. Image credits: Poetic camera

“We do not save any images or poems in digital form. There are several reasons: First, it is easier. Two: privacy. Third, it gives the poems additional meaning if they are something like ephemeral artifacts. If you lose it, it’s gone,” explains Mather. “Now everyone has a camera in their pocket connected to a mobile phone. We wanted to do something completely different.”

We’ve seen latest user interfaces with products like Plaud and Humane Ai Pin – and this device continues in the identical vein. It allows users to disconnect from the constant flow of visual stimuli and interact with Poetry Camera in a more mindful and contemplative way. I don’t desire everyone to be an art student, however the visceral experience of holding a printed poem in your hands is an invite to reflect on the words, appreciate the great thing about language, and develop a deeper reference to the murals.

The design philosophy extends beyond the device, impacting the whole user experience. Zhang and Mather fastidiously crafted the Poetry Camera to evoke a way of wonder and discovery. Capturing a picture, waiting for the AI ​​to generate a line, after which receiving the print creates a way of anticipation and surprise, increasing overall engagement with the device.

Reflecting the longer term of artificial intelligence and private computing

Zhang and Mather’s Poetry Camera design philosophy reflects their broader vision for the longer term of non-public computing and artificial intelligence. They imagine that technology must be seamlessly integrated into our day by day lives, enhancing our experiences without overwhelming us with constant stimuli. By making a device that prioritizes simplicity and artistic expression, they challenge the established order and pave the best way for a brand new era of technology.

“I feel poetry cameras are a microcosm of what is going to occur to many industries with AI. Poetry cameras are different from a standard discipline: You’ve never met someone who said, “Oh, I’m a poetry photographer for corporate events,” laughs Zhang. Poetry Cameras are somewhere between this recognized field of photography and poetry. This is a brand new, strange thing. Most importantly, watching people interact with them is fun: people find childlike joy of their playful personality.

What’s next?

As Poetry Camera continues to captivate audiences and generate buzz, Zhang and Mather are fastidiously considering the longer term of their progressive work. While the device started off as a private passion project, the overwhelmingly positive response led them to explore the potential of making it commercially available to a wider audience.

“After the first 100 questions people said, ‘We don’t sell this,’ but after asking 101 questions we started thinking about it in more detail and wondering if we should make it available to people,” Zhang reflects. “But at the same time, it’s an art project, you know? Our initial reaction was to leave capitalism out of it.”

However, consistent with their commitment to sustainability and conscious consumption, Zhang and Mather take their time before committing to mass production. Instead, they’re taking a more measured approach, with limited drops possible on products that favor quality over quantity. By fastidiously controlling the production process, they strive to be sure that each poetry apparatus is made with the utmost attention to detail and meets high standards of performance and sturdiness.

I challenged the team on the necessity for a hardware product: phones have cameras, web connections, and screens. Wouldn’t it’s more sustainable to make use of equipment that already exists?

Another example poem, within the background the one that inspired it. Image credits: Poetic camera

“The most sustainable solution would be to do nothing at all,” agrees Zhang. “But we initially started it as open source DIY projectand we had all the instructions online; it was just hard for people to get all the parts they needed. Initially, we toyed with the idea of ​​creating a cardboard casing. However, I’ve noticed that part of what makes people love the product and want to play with it is the product’s aesthetic, refined in a Poké Ball style. I think that for the Poetry Camera to come to life in its full form, it should be a product that is refined in appearance. I don’t know how to approach it in terms of sustainability, but it’s important to us.”

Looking ahead, Zhang and Mather imagine a future during which the Poetry Camera is just not only a novel device, but additionally a catalyst for change in the best way we interact with technology and art. They hope that their work will encourage others to explore the intersection of those two fields, pushing the boundaries of what is feasible and creating latest types of expression.

I really like living in a world where enthusiastic hobbies intersect with art and technology, and this project suits perfectly into the Venn diagram.

“For me it continues to be art since it lets you express. It is a tool for shaping the world we would like to see, a world where people can play with latest technology: artificial intelligence is just not all doom and gloom. And it is not just that artificial intelligence imitates humans in a deeper, faster and worse way,” Zhang concludes. “It’s about creating something completely new with new technology and bringing out that inner child again. This project is not about making money – it is about making this childhood miracle possible again.”

If you wish a more in-depth take a look at the camera in motion, TikTok appears to be the most effective source.


This article was originally published on : techcrunch.com
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Women in AI: Tara Chklovski teaches the next generation of AI innovators

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To give women AI academics and others their well-deserved – and overdue – time in the highlight, TechCrunch is publishing a series of interviews specializing in the extraordinary women who’re contributing to the AI ​​revolution. We’re publishing these articles throughout the 12 months as the AI ​​boom continues, highlighting key work that usually goes unnoticed. Read more profiles here.

Tara Chklovski is the CEO and founder Technology, a nonprofit organization that helps teach young girls about technology and entrepreneurship. She has led the company for the past 17 years, finding ways to assist young women use technology to resolve some of the world’s most pressing problems. She attended St. Stephen’s College in Delhi, followed by a master’s degree from Boston University and a doctorate from the University of Southern California in aerospace engineering.

Briefly speaking, how did you start in artificial intelligence? What drew you to the field?

I began learning about AI in 2016 after we were invited to the AAAI (Association for the Advancement of Artificial Intelligence) conference held in San Francisco and had the opportunity to interview many AI researchers using AI to resolve interesting problems, starting from space for supplies. Technovation is a nonprofit organization and our mission is to bring the strongest, cutting-edge tools and technology to underserved communities. AI felt powerful and right. So I made a decision to learn loads about it!

In 2017, we conducted a nationwide survey of parents, asking them about their thoughts and concerns about artificial intelligence. We were impressed by how African-American moms were very interested in ensuring their children were AI-savvy, greater than another demographic. We then launched the first global AI education program, the AI Family Challengesupported by Google and Nvidia.

Since then, now we have continued to learn and improve, and are actually the only global, project-based AI education program with a research-based curriculum translated into 12 languages.

What work in AI are you most proud of?

The incontrovertible fact that we’re the only organization to have a peer-reviewed research paper on the impact of our project-based AI curriculum and that now we have been in a position to make it available to tens of hundreds of girls around the world.

How do you cope with the challenges of the male-dominated tech industry, and by extension, the male-dominated AI industry?

This is difficult. We have many allies, but typically the power and influence rests in the hands of CEOs, who’re overwhelmingly men and don’t fully understand the barriers women face at every turn. You develop into the CEO of a trillion-dollar company based on certain traits, and people traits will not be the same as the ones that permit you to empathize with others.

In terms of solutions, society is becoming more educated and each genders have gotten more sophisticated in terms of empathy, mental health, psychological development, etc. My advice to those supporting women in tech can be to be more daring in their investments in order that we are able to make more progress. We have enough research and data to know what works. We need more champions and supporters.

What advice would you give to women seeking to enter the field of artificial intelligence?

Start today. It’s very easy to start online with free, world-class lectures and courses. Find an issue that interests you and begin learning and constructing. The Technovation program can be a fantastic start line since it doesn’t require any prior technical background, and at the end you’d have created an AI-based startup.

What are the most pressing issues facing artificial intelligence because it evolves?

(Social views) groups undervalued as a monolithic group with no voice, agency or talent – ​​just waiting to be exploited. We’ve found that teenagers are some of the first adopters of technology and have the coolest ideas. A Technovation girls’ team created a ride-sharing and taxi-hailing app in December 2010. Another Technovation team created a mindfulness and concentration app in March 2012. Currently, Technovation teams are constructing AI-powered apps by constructing recent datasets focused on groups in India, Africa and Latin America – groups that aren’t included in applications coming from Silicon Valley.

Instead of viewing these countries only as markets, consumers and audiences, we must see these groups as powerful collaborators who may help construct truly revolutionary solutions to the complex problems facing humanity.

What issues should AI users remember of?

These technologies are developing rapidly. Be curious and look under the hood as often as possible to find out how these models work. This will enable you develop into a curious and hopefully informed user.

What is the best method to construct AI responsibly?

By training groups who aren’t typically part of design and engineering teams, after which constructing higher technologies with them as co-designers and builders. It won’t take rather more time and the final product shall be rather more solid and revolutionary for the process.

How can investors higher promote responsible AI?

Push for partnerships with global nonprofits which have access to diverse talent pools in order that your engineers speak to a big selection of users and consider their perspectives.

This article was originally published on : techcrunch.com
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Human Composting and Wood Markets: A Conversation on “Industrial” VC with Investor Dayna Grayson

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While the enterprise capital world is buzzing around generative AI, Dayna Grayson, a longtime enterprise capitalist who co-founded her own company five years ago, Build capital, focused on relatively boring software that would transform industrial sectors. Its mission doesn’t exclude AI, nevertheless it will not be dependent on it either.

For example, Construct recently raised a seed round Wooden eye, a startup that’s developing vertical workflow software and a knowledge layer that it says can count and measure logs more accurately and, if all goes in keeping with plan, help the startup achieve its goal of becoming a timber purchasing marketplace. Wondering how big this market may very well be? According to estimates, it hit the worldwide forest products industry $647 billion in 2021

Another Construct deal that sounds less sexy than, say, the large language models is Earth, a startup focused on human composting, turning bodies into “nutrient-rich” soil in 45 days. Yes, ick. But also: it’s a sensible market to follow. Cremation currently accounts for 60% of the market and may account for over 80% in the following 10 years. Meanwhile, the cremation process has been in comparison with its counterpart A 500-kilometer journey by automotive; As people increasingly focus on “greener” solutions, Earth believes it could actually attract more and more of those customers.

Avoiding a number of the AI ​​hype doesn’t entirely protect Grayson and her co-founder at Construct, Rachel Holt, from lots of the same challenges their peers face, as Grayson told me recently on a Zoom call from Contruct’s headquarters in Washington. their challenge is timing. The two launched their first three funds in one of the frothy markets within the enterprise capital industry. Like every other enterprise firm on the earth, a few of its portfolio corporations are also currently struggling with indigestion after raising an excessive amount of capital. That said, they’re hurtling into the long run and – seemingly successfully – dragging just a few staid industrial corporations along with them. Below are excerpts from our recent chat, edited for length.

You invested throughout the pandemic when corporations raised rounds in very quick succession. How have these high-velocity bullets impacted your portfolio corporations?

The quick news is that they didn’t impact too a lot of our portfolio corporations because we actually placed the primary fund in seed corporations – fresh corporations that were starting operations in 2021. Most of them were already began. But (overall) it was exhausting and I do not think these rounds were a very good idea.

One of your portfolio corporations is Vehoparcel delivery company that raised a monster Series A round and then an enormous Series B just two months later in early 2022. It laid off 20% of its employees this 12 months and there have been reports rotation.

I feel Veho is an ideal example of an organization that has weathered the economic turmoil that has occurred over the past 12 months or two thoroughly. Yes, you would say they’ve had trouble within the financial markets by attracting a lot attention and growing so quickly, but their revenue has greater than doubled within the last 12 months, so I am unable to say enough good things in regards to the team’s management and how stable the corporate is. They have been and will remain certainly one of our leading brands within the portfolio.

Of course, this stuff never move in a straight line. What is your opinion on how involved a enterprise capital firm ought to be in the businesses it invests in? This seems a bit controversial in the meanwhile.

In enterprise capital, we will not be private equity investors or controlling investors. Sometimes we’re not on board. But we’re within the business of delivering value to our corporations and being great partners. This means contributing to our industry knowledge and contributing to our networks. But I classify us as advisors, we will not be controlling investors nor can we plan to be controlling investors. So it’s really as much as us to deliver the worth our founders need.

I feel there was a time, especially throughout the pandemic, when VCs advertised that “we won’t get too involved in your company – we’ll take the burden off you and let you run your business.” We have actually seen founders eschew this view and say, “We want support.” They want someone by their side to assist them and adjust those incentives accordingly.

VC funds promised the moon throughout the pandemic, the market was very frothy. Now evidently the ability has returned to enterprise capital funds and away from the founders. What do you see day by day?

One thing that has not gone away because the rush to speculate throughout the pandemic are SAFE bonds (easy contract for future equity contracts). I assumed that once we got back to a more measured pace of investing, people would wish to return to investing only in equity rounds – capped rounds as an alternative of notes.

Both founders and investors, including us, are open to SAFE bonds. I actually have noticed that these notes have turn out to be “sophisticated” and sometimes include supplementary letters (which give certain rights, privileges and obligations beyond the terms of the usual investment document), so you actually need to ask for all the small print to make sure the table doesn’t turn out to be too complicated , before (start) (began).

It’s very tempting because SAFE will be closed, added and added so quickly. But take boards for instance; you’ll be able to draft an extra letter (with the enterprise capitalist) that (states): “Even though this is not a capitalized round, we want to be on the board”; “That’s not what SAFE notes are for, so what we’re saying to founders is, ‘If you are going to undergo this whole business creation thing, just use the equity round.’

Construct focuses on “transforming the core industries that drive half of the country’s GDP, logistics, manufacturing, mobility and critical infrastructure.” In a way, Andreessen Horowitz seems to have appropriated the identical concept and renamed it “American dynamics” Do you agree or are these different topics?

It’s a bit of different. There are definitely ways during which we are able to agree with their investment thesis. We consider that these core industries – some call them industrial spaces, others call them energy spaces, which can include transportation, mobility, supply chain and decentralized production – must turn out to be technology industries. We consider that if we’re successful, we could have a number of corporations that could be software corporations, possibly actually manufacturing corporations, but can be valued the way in which technology corporations are valued today, with the identical revenue multiples and the identical EBITDA margins over time. This is the vision we’re investing in.

We’re beginning to see a number of the older industries begin to take off. For example, a former Nextdoor executive recently raised money to upgrade his HVAC system. Are you concerned about such a offers?

There are many industries that players already operate in, and the industry may be very fragmented, so why not mix all of them (to realize) economies of scale through technology? I feel it’s smart, but we do not spend money on older technologies or corporations and then make them modern. We are more in favor of introducing technology de novo to those markets. One example is Monar during which we have now recently invested. They operate within the HVAC industry, but provide a brand new service for monitoring and measuring HVAC condition using technologically advanced sensors and monitoring and measurement services. One of the founders previously worked in HVAC and the opposite at (home security company) SimpliSafe. We wish to support individuals who understand these spaces – understand their complexity and history – and also understand tips on how to sell in them from a software and technology perspective.

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Google is laying off employees, Tesla is canning its Supercharger team, and UnitedHealthcare is revealing security vulnerabilities

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Welcome to Week in Review (WiR), TechCrunch’s regular newsletter summarizing the week in technology. This release is a bit bittersweet for me – it would be my last (a minimum of for some time). I’ll soon be shifting my focus to a brand new AI newsletter that I’m very enthusiastic about. Stay tuned for further information!

Now, let’s get to the news: This week, Google laid off employees from its Flutter, Dart, and Python teams just weeks before its annual I/O developer conference. In total, 200 people from Google’s “core” teams were laid off, including people working on application platforms and other engineering roles.

Elsewhere, Tesla CEO Elon Musk has gutted the corporate’s team answerable for overseeing its supercharger station network in a brand new round of layoffs – despite recently bringing in major automakers like Ford and General Motors. The cuts are so complete that Musk suggested in an email that they might force Tesla to slow the rollout of its Supercharger network.

UnitedHealthcare CEO Andrew Witty told a House subcommittee that the ransomware gang that breached US health tech giant Change Healthcare – a subsidiary of UnitedHealthcare – used a set of stolen credentials to realize access to Change Healthcare systems that didn’t were protected by multi-factor authentication. Last week, UnitedHealthcare reported that hackers had stolen health data for “a significant portion of people in America.”

Many other things happened. We sum all of it up on this issue of WiR – but first, let’s remind you to enroll in the WiR newsletter every Saturday.

News

Hallucinations, hallucinations: OpenAI faces one other privacy grievance within the EU. This one – filed by a nonprofit privacy rights organization night on behalf of a person complainant – targets the shortcoming of the AI-powered ChatGPT chatbot to correct misinformation about individuals that it generates.

Just get out… of Sam’s Club: Sam’s Club customers who pay on the register or via the Scan & Go mobile app can now leave the shop without having to double-check their purchases. Technology, exposed at January’s Consumer Electronics Show, it has already been implemented in 20% of Sam’s Club locations.

TikTok bypasses Apple’s rules: TikTok provides some users with a link to a web site where they should purchase coins used to tip digital creators on the platform. Typically, these coins have to be purchased via an in-app purchase – which requires a 30% commission paid to Apple – suggesting that TikTok could also be attempting to bypass Apple’s App Store rules.

NIST’s GenAI Platform: The National Institute of Standards and Technology (NIST), an agency of the U.S. Department of Commerce that develops and tests technologies for the U.S. government, businesses and most people, has launched NIST GenAI, a brand new program to judge generative artificial intelligence technologies, including text-based technologies and artificial image generating intelligence.

Getir draws out: Getir, the fast-trading giant, has withdrawn from the US, UK and Europe to deal with Turkey, its home country. The company – once valued at nearly $12 billion – said the move would impact hundreds of salaried and full-time employees.

Analysis

About Techstars’ Cold War: Dom’s stellar reporting pulls back the curtain on a 12 months of monetary losses and staff cuts at startup accelerator Techstars, whose CEO, Maëlle Gavet, has been a controversial force for change.

AI-based coding: Yours is really taking a look at Copilot Workspace, which is kind of an evolution of GitHub’s AI-powered coding assistant Copilot right into a more general tool — constructing on recently introduced features like Copilot Chat, which allows developers to ask questions on their code in natural language.

Autonomous automobile racing: Tim Stevens talks a few racing event in Abu Dhabi through which an autonomous automobile faced a Formula 1 driver.

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