#artificial intelligence of things

[puraniktechnews]

The proliferation of connected devices and advancements in AI algorithms are the factors expected to propel the growth of the global AIoT market. However, data privacy and security concerns and high cost of implementation are anticipated to hamper the growth of the global market.

[news24-amit]

AIoT Adoption Accelerates as Industries Embrace Intelligent Automation

The Artificial Intelligence of Things (AIoT) is transforming industries by integrating artificial intelligence (AI) with the Internet of Things (IoT), enabling smart decision-making and automation. AIoT enhances efficiency, optimizes resource utilization, and provides real-time insights across multiple industries. The AIoT market, valued at US$ 8.4 billion in 2022, is projected to grow at a CAGR of 24.6% from 2023 to 2031, reaching US$ 58.4 billion by 2031.

Market Dynamics

Key Drivers

Growing Adoption of IoT Devices: The proliferation of smart devices and sensors is generating massive data volumes, fueling AIoT growth.

Need for Real-Time Decision Making: AI-driven analytics help industries make data-driven decisions, improving operational efficiency.

Rise in 5G Deployment: Faster and more reliable connectivity enhances AIoT capabilities, enabling seamless real-time communication.

Increasing Use in Healthcare: AIoT is widely used in wearable health devices, remote patient monitoring, and AI-powered diagnostics.

Demand for Smart Manufacturing: AIoT-driven predictive maintenance and automation solutions enhance production efficiency and reduce downtime.

Challenges and Restraints

Lack of Standardization: The absence of global AIoT regulations poses challenges for widespread adoption.

Data Privacy and Security Concerns: AIoT systems handle vast amounts of sensitive data, increasing risks related to cybersecurity and compliance.

High Initial Investment: AIoT deployment requires significant capital expenditure, limiting adoption in small and medium enterprises (SMEs).

Market Segmentation

By Component

Software/Platforms: AI-powered analytics, cloud computing, edge computing solutions.

Services: Consulting, integration, maintenance, and managed services.

By End-User Vertical

BFSI (Banking, Financial Services, and Insurance): Fraud detection, risk assessment, and customer experience enhancement.

Retail: AI-driven inventory management, customer behavior analysis, and automated checkouts.

Automotive: Autonomous vehicles, predictive maintenance, and AI-enabled traffic management.

Transportation & Logistics: Route optimization, fleet management, and real-time tracking.

Healthcare: AI-powered diagnostics, telemedicine, and patient monitoring.

Energy and Utilities: Smart grids, AI-powered energy optimization, and predictive maintenance.

Manufacturing: Predictive maintenance, automation, and supply chain optimization.

Others: Smart cities, agriculture, and public sector applications.

Regional Outlook

North America: The largest market, driven by strong IoT infrastructure, tech innovations, and AI adoption.

Europe: Significant investments in AIoT for industrial automation and smart city initiatives.

Asia-Pacific: Fastest-growing region due to rising manufacturing sector, smart city developments, and AIoT adoption in industries.

Middle East & Africa and South America: Emerging AIoT markets with moderate growth potential.

Key Industry Trends

AIoT in Smart Manufacturing

Leading companies such as ABB, Siemens, and Schneider Electric offer AI-powered industrial analytics platforms.

Automated Machine Learning (AutoML) is simplifying AI adoption in industrial applications.

Embedded AI hardware (e.g., NVIDIA GPUs, Google TPUs) is driving edge AI capabilities.

Smart Cities and AIoT Integration

AIoT is being used for energy-efficient buildings, smart grids, and intelligent water management.

Barcelona's AIoT initiatives in energy and water management have significantly reduced waste and emissions.

Advancements in AI Chips for AIoT

NVIDIA A30 and A10 GPUs, AWS EC2 G5 Instances, and Google���s TPUs are enhancing AIoT performance in various applications.

Competitive Landscape

Key players in the AIoT market are investing heavily in research & development, strategic partnerships, and product innovations to expand their market presence. Some leading companies include:

Amazon Web Services (AWS)

Google LLC

IBM Corporation

Microsoft Corporation

Oracle Corporation

Siemens AG

SAP SE

Schneider Electric

PTC Inc.

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[gingerswagfreckles]

After 146 days, the Writer's Strike has ended with a resounding success. Throughout constant attempts by the studios to threaten, gaslight, and otherwise divide the WGA, union members stood strong and kept fast in their demands. The result is a historic win guaranteeing not only pay increases and residual guarantees, but some of the first serious restrictions on the use of AI in a major industry.

This win is going to have a ripple effect not only throughout Hollywood but in all industries threatened by AI and wage reduction. Studio executives tried to insist that job replacement through AI is inevitable and wage increases for staff members is not financially viable. By refusing to give in for almost five long months, the writer's showed all of the US and frankly the world that that isn't true.

Organizing works. Unions work. Collective bargaining how we bring about a better future for ourselves and the next generation, and the WGA proved that today. Congratulations, Writer's Guild of America. #WGAstrong!!!

[silviastoll]

HEY, SO AO3 HAS BEEN SCRAPED!!!!

Publicly available fanfics with the ID numbers 1 to 63200000 were scraped to train the AI Huggingface.

WE SHOULD BE MAD. IM MAD. MINE WAS SCRAPED. GET FUCKING MAD.

There were other sites scraped as well.

[the-sunniest-angels]

Your artworks looks like AI

To be honest I'm guessing this is a bot because I don't think my art is really a style that is mistakeable as AI. BUT just in case this is someone who genuinely doesn't know how to differentiate AI art versus human art, I'm gonna make a post on it rq!

One of the ways you can tell my art is not AI is because you can see all the individual strokes that I made. My style in particular makes this easier to distinguish than others because as an artist I really embrace this, while others prefer a very clean lineart and coloring process.

Here are some examples from mine:

This is from one I made of Nico underwater. If you look at the water you can see all the places I drew each line. By contrast, zooming in on AI art doesn't show any brush strokes at all. Often, there's also a weird "fuzz" I've noticed? Like rather than a human artist who simply makes a, say, yellow banana, and if you zoom in you just see yellow, for an AI if you zoom in it weirdly looks like the AI is struggling to make every pixel yellow so each pixel is slightly different. That's what I think of as the art being slightly fuzzy.

I tried searching google for some AI art to use as examples of this but I'm currently in a different country for an internship and they're still getting my WiFi set up, so my connection isn't loading any of the Google images with enough clarity to be able to zoom in a bunch so I can show you. But it's something I've noticed for a lottt of AI art--and so this coupled with lack of brush strokes can be a sign of AI.

Another thing that, in my opinion, is a way to determine something is human-made is the shape of the canvas! In my experience, when I see AI art online, it tends to be a very similar canvas shape each time. I don't think most AI creations have the ability to be creative with canvas shape. Meanwhile, a human might choose to make their canvas super wide or long or whatever. Since I created each piece of my art individually for the purpose of eventually combining it all into a comic-ish thing, each canvas I made was very very wide which would have been unusual for an AI. Such as:

From what I've seen, an AI would have created somewhat more even dimensions.

And finally, one of the dead giveaways for AI versus human art is simply what mistakes are made in the piece. Neither AI art nor human art is usually absolutely perfect, but the mistakes that an AI makes are not usually the same ones that a human makes! For example here, I didn't actually make lineart or sketches for the background because I had figured "eh, how hard is it to make a background like this?" However you can tell this didn't work out perfectly for me because my "sun" did not end up perfectly round hahaha. Look above Nico's head. It's like sort of lopsided. Getting a perfect circle without any sort of lineart or tool is very hard as an artist, at least for me! However an AI would not struggle with making a perfect circle. It would have been much cleaner. However, an AI would have probably struggled more with things like color and style consistency in the wings (there are a lot of feathers that could trip it up), body proportions, etc etc.

And, overall, these three things together are very consistent with everything I post. AI would struggle to recreate a style like this over and over again, and it also tends to struggle to make the same face over and over. I'm not sure if you've ever seen one of those videos where people ask AI to duplicate an image without making any changes, but it really cannot do it. For this reason it would have been difficult for an AI to make the same face so many different times for a consistent comic.

I realize this ask was most likely a bot tbh since I think my art is pretty obviously human, but as a hater of AI art, I will never turn down an opportunity to talk about ways to differentiate human versus AI art. I hope this was helpful to anyone who struggles with identifying things like this!

[short-honey-badger]

Hey loves. I know I've been quiet here a lot lately. Life kind of got in the way, and I've been dealing with a lot, but I promise I'll be back. Eventually, anyway. Much love to everyone who continues to follow my works and stay with me. You guys are the greatest. But anyway. I came on here to give people a heads up. I'm restricting my works on A03 to registered users only.

Whoever was stupid enough to steal our works and use them to further their little A.I. project has hurt AO3 for a lot of us. Ao3 is an escape. It is a fantastic one where people are free to read FREE works provided by us authors. It's a privilege to be able to read thousands of fanfictions that we don't *have* to post. But we do cause we love the fandoms that we are in. We love the community and the comradery that we can find in each other.

So it really pisses me off that someone felt like they were entitled enough to steal what we slave over. Thousands of words and hundreds of hours staring at a screen trying our best to make something great. Something that other like-minded people enjoy. And I'm sorry for anyone whose works were stolen to further someone else who doesn't have the mental capacity to write their own works.

Anyway. Thanks for coming to my ted talk, guys. Love you and keep going strong. ❤️

@mit-suri @sanjisleggy @nocturnalrorobin @forever-a-night-owl @sordidmusings @goth-mami-writer @shanks-is-a-daddy @writingmysanity @urinarythreatinfection

[ttrpg-smash-pass-vs]

I've been gathering all the elligible creatures for next tournament, double checking my work. And I hit the retriever.

AND THIS FUCKING THING.

This thing stopped me for hours. Because they keep changing what it IS. Because look at it, cool spider robot, right? oh, and it knows languages, that means it's either a mindless automaton (fine because it's like a toy) or it's an intelligent creature, right? Wrong? Turns out it's NEAR mindless. Red flag, especially given it has 3 int. Usually sentient creatures don't go below 5, so it's likely either a smart automaton like your phone or animal, right? Well turns out it's made from an imprisoned bebelith that had most of its intelligence removed. MOST? Is it animal level or not, because that's down to the usual animal range but it apparently still understands language. Does it even matter, does being made from an imprisoned spirit that follows orders mean it couldn't consent anyways? I made an argument for that with golems, and we know that spirits imprisoned spirits cannot fight even if they want to as long as the vessel's durable metal. But then you look at the MPMM, this new book we're going into. and hey look, they removed the "imprisoned bebelith" part that's been in every description for decades. But it is gone because it's not true anymore, or is it gone because the MPMM shortened nearly every description? Some PLAYER RACES got reduced to 3 sentences, so is that no longer canon, or is it just not included in this summarized version of it because they assume you know from Tome of Foes?

ultimately, sorry, not including it in next tournament. 14 foot spider droid with paralysis and restraint powers would've done numbers. But I am really unsure if this is sentient and if it could consent even if it was (since the ritual seems to override its free will). And I can't in good conscious include an option unless I'm confident it can consent. I'll take "I can't think of a scenario in which it would want to, but it technically could." but not "incapable of consent."

[senku-ishigami-official]

Senku, I want to ask you a question on the matter of using AI. I want to know your thoughts about it!

A while back, I attended a conference with a bunch of esteemed people, including a few diplomats from all over the world. Someone had asked a doctor and a professor in the top university of my country, "How do you feel about the growing presence of artificial intelligence in almost every aspects of work and life? Does it threaten you?" (Not his exact words, but that's the gist!)

At first, he laughed, and then he simply said: "Do you think mathematicians got mad when the calculator got invented?"

I have my own stance about it, and I think a tool whose primary function is to make complex computations much easier to do is VERY different from the level of AI currently existing.

As someone who's proficient in math, science, technology, and many other things, how do you feel about the professor's statement? 🤔

— 🐰

Okay. I have lots of thoughts about this

So we all know that AI is on the rise. This growth is thanks to the introduction of a type of AI called generative AI. This is the AI that makes all those generated images you hear about, it runs chat gpt, it's what they used for the infamous cola commercial.

Now there's another type of AI that we've been using for a much longer time called analytical AI. This is what your favorite web browser uses to sort your search results according to the query. This has like nothing to do with character ai or whatever, all that stuff is generative AI.

The professor compared AI to a calculator, but in my mind, calculators are much more like analytical AI, not the generative AI that's gotten so popular which the question was CLEARLY referencing. This is because analytical AI uses a structured algorithm, which is usually like a system of given numbers or codes that gives an exact result. There are some calculators that can actually be considered analytical AI. Point is, you're right, this is completely different from generative AI that uses an unstructured algorithm to make something "unique" (in quotes because it's one of a kind, but drawn from a combination of existing texts and images). The professor did NOT get the question I fear.

This bothers me because analytical AI can be incredibly useful, but generative AI really just takes away from us. Art, writing and design are for humans, not for robots -- science should foster creativity, not make it dull. It's important to know the difference between them so we know what to support and what to reject.

[ai-fandom-researchstudy]

Research Study: Fandom & Generative AI still looking for participants!

I'm still recruiting research participants for my PhD dissertation study!!! If you've already participated, thanks so much! If you haven't participated yet, please consider responding to a quick survey, and sharing with your friends!

I'm interested in understanding fans' perspectives on and experiences with generative AI (text and image generation software). That means perceptions both positive and negative! However you feel about genAI, I'm interested in hearing from you. We're especially seeking diverse perspectives from underrepresented demographic groups of people.

If you're over 18, can speak/understand English, and are interested in participating you can learn more information and take the survey here. I've also made a FAQ post about the study that I've pinned to the top of the blog, and you can see more info on the shareable flyer below. You can also view posts on Twitter/X, Bluesky, and Reddit about the study and share info there! Spreading the word is greatly appreciated :)

The study is anonymous and voluntary, and you'll be asked about your fandom background, attitudes towards generative AI, and demographic information. The survey should take about 15-20 minutes, and you can skip over any questions you want. You can also elect to participate in a follow up interview, if you want to. The full details are on the consent form, which you'll be able to read before taking the survey! Feel free to reach out with any questions.

[reasonsforhope]

Determined to use her skills to fight inequality, South African computer scientist Raesetje Sefala set to work to build algorithms flagging poverty hotspots - developing datasets she hopes will help target aid, new housing, or clinics.

From crop analysis to medical diagnostics, artificial intelligence (AI) is already used in essential tasks worldwide, but Sefala and a growing number of fellow African developers are pioneering it to tackle their continent's particular challenges.

Local knowledge is vital for designing AI-driven solutions that work, Sefala said.

"If you don't have people with diverse experiences doing the research, it's easy to interpret the data in ways that will marginalise others," the 26-year old said from her home in Johannesburg.

Africa is the world's youngest and fastest-growing continent, and tech experts say young, home-grown AI developers have a vital role to play in designing applications to address local problems.

"For Africa to get out of poverty, it will take innovation and this can be revolutionary, because it's Africans doing things for Africa on their own," said Cina Lawson, Togo's minister of digital economy and transformation.

"We need to use cutting-edge solutions to our problems, because you don't solve problems in 2022 using methods of 20 years ago," Lawson told the Thomson Reuters Foundation in a video interview from the West African country.

Digital rights groups warn about AI's use in surveillance and the risk of discrimination, but Sefala said it can also be used to "serve the people behind the data points". ...

'Delivering Health'

As COVID-19 spread around the world in early 2020, government officials in Togo realized urgent action was needed to support informal workers who account for about 80% of the country's workforce, Lawson said.

"If you decide that everybody stays home, it means that this particular person isn't going to eat that day, it's as simple as that," she said.

In 10 days, the government built a mobile payment platform - called Novissi - to distribute cash to the vulnerable.

The government paired up with Innovations for Poverty Action (IPA) think tank and the University of California, Berkeley, to build a poverty map of Togo using satellite imagery.

Using algorithms with the support of GiveDirectly, a nonprofit that uses AI to distribute cash transfers, the recipients earning less than $1.25 per day and living in the poorest districts were identified for a direct cash transfer.

"We texted them saying if you need financial help, please register," Lawson said, adding that beneficiaries' consent and data privacy had been prioritized.

The entire program reached 920,000 beneficiaries in need.

"Machine learning has the advantage of reaching so many people in a very short time and delivering help when people need it most," said Caroline Teti, a Kenya-based GiveDirectly director.

'Zero Representation'

Aiming to boost discussion about AI in Africa, computer scientists Benjamin Rosman and Ulrich Paquet co-founded the Deep Learning Indaba - a week-long gathering that started in South Africa - together with other colleagues in 2017.

"You used to get to the top AI conferences and there was zero representation from Africa, both in terms of papers and people, so we're all about finding cost effective ways to build a community," Paquet said in a video call.

In 2019, 27 smaller Indabas - called IndabaX - were rolled out across the continent, with some events hosting as many as 300 participants.

One of these offshoots was IndabaX Uganda, where founder Bruno Ssekiwere said participants shared information on using AI for social issues such as improving agriculture and treating malaria.

Another outcome from the South African Indaba was Masakhane - an organization that uses open-source, machine learning to translate African languages not typically found in online programs such as Google Translate.

On their site, the founders speak about the South African philosophy of "Ubuntu" - a term generally meaning "humanity" - as part of their organization's values.

"This philosophy calls for collaboration and participation and community," reads their site, a philosophy that Ssekiwere, Paquet, and Rosman said has now become the driving value for AI research in Africa.

Inclusion

Now that Sefala has built a dataset of South Africa's suburbs and townships, she plans to collaborate with domain experts and communities to refine it, deepen inequality research and improve the algorithms.

"Making datasets easily available opens the door for new mechanisms and techniques for policy-making around desegregation, housing, and access to economic opportunity," she said.

African AI leaders say building more complete datasets will also help tackle biases baked into algorithms.

"Imagine rolling out Novissi in Benin, Burkina Faso, Ghana, Ivory Coast ... then the algorithm will be trained with understanding poverty in West Africa," Lawson said.

"If there are ever ways to fight bias in tech, it's by increasing diverse datasets ... we need to contribute more," she said.

But contributing more will require increased funding for African projects and wider access to computer science education and technology in general, Sefala said.

Despite such obstacles, Lawson said "technology will be Africa's savior".

"Let's use what is cutting edge and apply it straight away or as a continent we will never get out of poverty," she said. "It's really as simple as that."

-via Good Good Good, February 16, 2022

[metalcrows]

So what I find really interesting is how I absolutely hate current AI, but how much I love fictional robots/artificial intelligence. Every time the issue, "Can robots feel?" Is brought up in any kind of fictional media, I always firmly believe that they can. Just because they are not human doesn't mean they can't create and experience things. So why don't I feel this way about Chat GPT? I mean, it's an AI. Let's use Data from Star Trek as an example. He's a robot that is deemed incapable of human emotions, yet he still seems to simulate such emotions. He paints quite a bit, and I love all his art. However, when Chat GPT "paints," I hate it. It's stolen art. But Data kind of does the same thing, using vast amounts of previous examples to create something new. Both are AI that supposedly can't feel, but simulate human emotions and traits. SO WHAT TRULY IS THE DIFFERENCE? Is it because Data is more humanoid? That he uses a brush instead of a screen? Mabye, but probably not. Other examples of fictional AIs without a body make things on screen, and I still love it. So I don't know. I don't know why I feel like this. All I know is that I don't like Chat GPT or what it stands for. However, there is a small part of me scared to hate modern AI. Because what if I'm wrong and it can feel in some sort of strang way. Mabye it can't think like us, but perhaps it CAN think. I doubt this is the case, but still. Im scared how apathetic I am towards these AIs. Because what if one day we get robots that can think, and I become one of the people dismissing them instead of accepting them. This is just something I think about a lot lol

[potatowithinternet]

Unbreakable Rules of Fandom That You Always Have to Follow All of the Time:

"this was made by ai" - blocked.

"this was made on a 3 year old napkin" - reblogged. heart. reblogged.

"this was made with cocaine at 3am" - heart. reblogged. reblogged. framed on the wall. reblogged. reblogged. reblogged. rebl-

[uniquecellest]

Maybe i'm not typing the right things in because I cannot find the interview this allegedly happened, maybe it's a really good fan edit or A.I. idk

but what do you mean someone who worked on the X-Men films said that when it came down to Charles and Erik, Charles would be the top and yet there's way more top!Erik fics (276 on ao3) than top!Charles (136 on ao3)

I've been in fandoms where if the writer of a book series, or someone who worked on a show or movie said x character is a top or bottom there would be weird ass influx of said character being the top or bottom.

🙂‍↕️ guess I'll have to make up the 140 fic difference

[centrally-unplanned]

Though in the effort of balance, I too hate the "STEM uber alles" educational drumbeat not because STEMcels lack the effette wisdom of the liberal arts (obvious bullshit, most liberal arts majors also lack said wisdom and STEM people read books too, education doesn't work that way). I hate it because its just bad advice - low performing STEM majors do worse on the job market than average liberal arts majors, and most "STEM" programs actively weed out students via early feeder courses because many students aren't going to cut it and are better off in different majors. With a few very tiny exceptions college is a great choice regardless of major, if you graduate the large, large majority will do fine. (Not graduating is a serious issue in the US, dramatically so - but I promise you pushing more students into STEM is not going to reduce your fail rates).

To add two caveats, I am down for marginal changes, wanna boost engineers by 5% yeah probably a win, whatever. I don't think that is what most people are saying though - to be specific, the reason you would want 5% more engineers is because they tend to have more spillover effects that aren't captured in their salaries, they don't personally benefit and business majors do pretty much just as well as them, but society might. But that is a bit of an opposite claim than the default one imo.

The second one is that there are big picture "structural" issues that can change these dynamics. Lets take my favorite punching bag of US medicine - in the US education system the "weeding" courses for being a doctor have no connection to the practice of doctoring. The traditional one is organic chemistry, an intensely difficult course involving primarily memorization but also extensive logic applications that burns out huge percentages of the class, and also is a skillset unused by 95%+ of doctors. It virtually never comes up in anything but the most trivial ways, it is only an arbitrary IQ test. The reality of course is that being the median doctor is not that hard (tail end doctoring and certain specialties can get different) the way say programming is. Many more people could be doctors. We just don't let them be doctors in order to ensure doctors can artificially boost their wages via cartelization. So if you changed the laws/practices then suddenly oh yeah we should be pushing more people in the other M of STEM, but until the reforms it makes no sense to do that.

[susanoos-wife]

[inspiredwriterstory]

Genuine question: Do you think we could weaponize our Autism to fuck up AI's learning algorithms in the most creative ways possible?