#AI in Computer Vision Market share

[txttletale]

hey what’s up, i think you’re pretty cool but disagree with you on the whole ai can make art thing. to me, without the purpose from an actual person creating the piece, it’s not art but an image; as all human art has purpose. some driving factor in a work, compared to a program which purely creates the prompt without further intention. i was wondering what your insight on this is? either way, hope you have a great day

well, first of all, does art require 'purpose'? there's this view of art which has very much calcified in "anti-AI" rhetoric, that art is some linear process of communication from one individual to another: an Artist puts some Meaning into a unit of Art, which others can then view to Recieve that Meaning. you can hold this view, but i don't! i'm much more of a stuart hall-head on this, i think that there is no such transfusion of Intent and that rather the 'meaning' of a piece is something that exists only in the interplay between text and reader. reading is an active, interpretative process of decoding, not a passive absorptive one. so i dispute, firstly, that 'purpose' is to begin with a necessary or even imporant element of art.

moreover i think this argument rests on a very arbitrarily selective view of what counts as "an actual person creating the piece" -- 'the prompt' is, itself, an obvious artistic contribution, a place where an artist can impart huge amounts of direction, vision, and so on. in fact, i completely reject the claim of both the technology's salesman and its biggest detractors that genAI "makes art" -- to quote kerry mitchell's fractal art manifesto: "Turn a computer on and leave it alone for an hour. When you come back, no art will have been generated." in the past, i've posed questions about generative art pieces to demonstrate this

secondly, of course, the process does not end after image generation from prompt for serious generative artists--the ones who are serious about the artform (rather than tech guys trying to do marketing for the Magical Art Box) frequently iterate and iterate, generating a range of iterations and then picking one to iterate on further, so on and so forth, until the final image they choose to share is one that contains within it the traces of a thousand discrete choices on behalf of the artist (two pretty good explanations of this from people who actually do this stuff can be found here and here)

third and finally, that very choice to share the image is itself an artistic decision! we (and by we, i mean, anyone who cares about what art is) have been talking about this since fountain -- display is a form of artistic intent, taking something and putting it forward and saying 'this is art' is in and of itself an artistic decision being made even if the thing itself is unaltered: see, for example, the entire discipline of 'found art'. once someone challenged me, yknow, "if you did a google search, would that be art?" and my answer to that is, if you screenshot that google search and share it as art, then yes, resoundingly yes! curation and presentation recontextualizes objects, turning them into rich texts through the simple process of reframing them. so even if you granted that genAI output is inherently random computer noise (i don't, of course) -- i still think that the act of presenting it as art makes it so.

since i assume you're not familiar with anything interesting in the medium, because the most popular stuff made with genAI is pure "lo-fi girl in ghibli style" type slop, let me share some genAI pieces (or genAI-influenced pieces) that i think are powerful and interesting:

the meat gala, rob sheridan (warning: body horror!)

secret horses (does anyone know the original source on this?)

infinite art machine, reachartwork

ethinically ambigaus, james tamagotchi

mcdonalds simpsons porn room, wayneradiotv

software greatman, everything everything (the music is completely made by the band, but genAI was partially responsible for the lyrics -- including the title and the several interesting pseudo-kennings)

i want a love like this music video, everything everything

cocaine is the motor of the modern world, bots of new york

poison the walker, roborosewatermasters (here's my analysis posts on it too)

not all of these were necessarily intended as art: but i think they are rich and fascinating texts when read that way -- they have certainly impacted me as much as any art has.

anyways, whether you agree or not, i hope this gives you some stuff to think about, thanks for sharing your thoughts :)

[axeeglitter]

Back from the Vault: LifeX

Nathan Brown sat hunched over his desk, the glow of his laptop screen illuminating his tired eyes. His San Francisco apartment was a mess: clothes strewn across the floor, empty takeout containers stacked on the kitchen counter, and a half-empty coffee mug perched precariously on the edge of his desk. Nathan's bed was unmade, a tangled heap of blankets and pillows. The room smelled faintly of stale air and sweat, the result of a broken air conditioning unit and a lack of motivation to clean.

Nathan was staring at his laptop screen, scrolling through yet another round of job listings. His bank account was dangerously low, and the anxiety of unpaid bills was gnawing at him. He was 26 years old, recently graduated with a degree in communications, and he was struggling to find any kind of work. His YouTube channel, where he reviewed video games and shared walkthroughs, was his only source of income, but the revenue it brought in was barely enough to buy groceries, let alone pay rent or bills.

Nathan was average in build, with a light tan from his Latino heritage, and short, dark hair that he usually kept neat. His face was lightly stubbled, a sign of his growing indifference to grooming as stress took over. He sighed and rubbed his eyes, feeling the weight of exhaustion settle into his bones. He was on the brink of giving up when a notification popped up on his screen, breaking his focus.

"Subject: Exciting Opportunity for Collaboration!"

Nathan hesitated, then clicked on the email. It was from a company called LifeX. He didn’t recognize the name, but curiosity got the better of him.

“Dear Nathan,

We’ve come across your YouTube channel and believe we could work well together. LifeX is launching a groundbreaking new game, and we are looking for individuals to help us with beta testing and promotion. Your content aligns perfectly with our vision, and we think this could be a great collaboration. If you accept, you’ll also be able to help us optimize the AI of our games by creating your own NPC character, it’ll be later implemented in the game when it’ll be released. Of course, we offer financial compensation for your work.

Looking forward to hearing from you.

Best regards, The LifeX Team”

Nathan’s first instinct was skepticism. It sounded too good to be true, and he’d heard horror stories of scams and phishing attempts. But the desperation for money overrode his better judgment. He quickly searched for LifeX online, finding only a sparse website filled with vague marketing speak about “immersive experiences” and “cutting-edge technology.” There were no reviews, no user testimonials, nothing solid. This should have been a red flag, but Nathan was too desperate to care. He needed this. He needed a break.

Nathan decided to respond. He typed out a quick reply expressing his interest. Almost immediately, another email arrived, containing a download link, setup instructions, and a NDA requesting his personal information: name, age, location, and other details. Nathan filled out the form, barely thinking about the potential consequences. He selected the longest trial period possible: one month, hoping it would give him enough content for his channel and enough time to determine if the collaboration was worthwhile.

As soon as he submitted the form, a melodic chime sounded from his laptop, followed by a smooth, professional voice:

“Thank you for signing up, Nathan. To begin your experience, you will first create the NPC character, and then you’ll be ready to start your experience in the environment you’ll choose. For the trial to run successfully, please ensure that your computer remains on for the entire duration of the test period: one month. Any interruption may result in data loss or corruption. Welcome to LifeX.”

Nathan frowned at the last part but shrugged it off. He figured it was just standard legalese, probably meant for immersion. The screen changed to a character creation window, displaying a basic human figure in a T-pose. Nathan leaned forward, curiosity piqued, and started customizing the avatar.

He named the avatar “Cody,” envisioning him as the polar opposite of himself. Cody would be everything Nathan wasn’t: confident, athletic, and effortlessly cool. He adjusted the height to 6'4", pushed the muscle sliders to the maximum, giving Cody bulging biceps, a broad chest, and thick, powerful legs holding a perfectly muscled ass. From the corner of his eyes, Nathan spotted a slider on the groin area. He laughed as he understood he could also determine how big he could adjust Cody’s penis and balls. Smiling, he selected the largest option possible for his dick and added a huge heavy pair of balls to go with it, watching it grow in proportion to the rest of his body. He added bright hazel eyes, bushy eyebrows, and messy dark brown hairs that would contrast perfectly to the pale sun kissed skin.

After the body customization, Nathan saw a new window open: Clothes and accessories. After thinking about it, he chose a pair of denim shorts that ended mid-thigh, showing off Cody’s muscular legs. Nathan opted for no T-shirt, exposing Cody’s ripped torso and added a ripped sleeve shirt opened on his muscled hair pecs. He then moved on to accessories and decided to put a loop earring on his right ear and a silver chain around his neck.

After the customization was done, it was asked for Nathan to enter some information about the NPC he just created to create a base behavior for him. After a while, Nathan decided to go for the stereotypical fratbro behavior to go with the appearance he just did. He started typing, adding details about Cody’s lifestyle. He entered notes in the behavior interface: “Cody is dumb as a brick. He loves gym, training and being barefoot, feeling the ground under his calloused feet.” He laughed as he added another line: “Cody never takes showers, loves the smell of his own musk, enjoys sniffing his hairy armpits after a workout and scratching his big dick every couple of minutes after what he smells them and always smile enjoying his own musk.” Nathan chuckled, amused at the thought of creating such a ridiculous character. It was so far removed from his real life that it seemed like a fun NPC to talk and interact with. Just a dumb easy-going character that is always down for a fuck and a drink after a gym session barefoot in the woods.

Satisfied with his creation, he confirmed the settings. The game prompted him to select a location, and he chose the Secluded Forest Realm, envisioning Cody as a carefree physical trainer just out of college living in a cabin in the wilderness.

The screen went black for a moment, and the professional voice returned: “Now that your character is complete, it’s time to play! Please keep your computer running at all times to maintain synchronization. Any interruption may lead to data corruption. Enjoy your month-long experience, Nathan, and welcome to LifeX.” Nathan was really getting excited now. He conder what kind of character he would create for himself when he saw a flash of light on the screen. It looked like some kind of swirling mesh, almost like a blackhole. For a moment Nathan thought it was kind of a cool effect, but everything changed when he went to grab his half drink cup of coffee sitting next to him only to realize his right hand was tingling and tiny particles were escaping his nails, flying straight to his screen.

A sudden wave of fatigue hit Nathan, and the lights in his apartment flickered briefly. A sense of unease washed over him, making the hairs on his arms stand up. Before he could react, the tingling sensation spread from his fingertips up through his arms. He stared in disbelief as his fingers began to dissolve into streams of glowing white code, spreading quickly across his body. He tried to scream, but his voice caught in his throat. His vision blurred as the Life X logo was pulsing in bright light in the center of the screen with a loading bar under it going up further and further. The last thing he saw was the 100% before everything went black.

Nathan found himself suspended in a void. He was floating, naked, surrounded by darkness. Panic set in, his heart racing as he tried to move, but his body was frozen in a T-pose. The sensation was bizarre, as if he were trapped in a dream. He wanted to call out, but his voice was muffled, like shouting underwater. The smooth, professional voice returned, echoing through the void:

“Welcome to your new life, Nathan. Don’t panic; this process is normal and painless. In a few moments, you will begin your ideal life in the Secluded Forest Realm. Relax and feel calm. Avatar synchronization will begin in 5, 4, 3, 2, 1…”

“What the fuck, where am I? What is going on? Why can’t I move?! HELP!!” thought Nathan as he tried to scream even though his face remained frozen.

Nathan’s body suddenly stiffened. A pressure built inside him, starting at his core and spreading outward. His bones stretched and cracked, lengthening to match Cody’s new height. His arms and legs grew longer, muscles bulging and expanding to fill out his new form. Nathan could feel his muscles tearing and healing at an accelerated rate, becoming stronger and more defined with each passing second.

His skin began to tighten, smoothing out imperfections and leaving with a perfectly smooth skin all around his muscled body. Nathan would be screaming if his voice mas not muted. Everything was burning and it was like feeling his DNA being rewritten while still being conscious. As he felt tears rising up his eyes, a new sensation invaded his newly modified skin. In his pits, legs and between his pecs, he felt like thousands of needles were piercing holes. The sensation was only multiplied as he started to feel hair sprouting from the holes. They were dark brown and thick but worst, the sensation of piercing needles started to appear around his groin too. Still wondering what was happening to him, Nathan tried to connect the elements he could find and that when he realized. The secluded forest, the muscles, the hair; that was Cody’s information, which means… Just enough time to understand what was happening to him when the hair started to sprout in abondance around his dick and nuts and climbing up his sculpted abs in a thin happy trail. After the hair, the modifications started to appear on his face. His jawline becoming sharper and more angular, his cheekbones more pronounced. His lips filled out, becoming more defined, while his eyebrows grew thicker, framing his eyes. His vision sharpened, colors becoming brighter and more vivid. His brown eyes shifted to a bright hazel as he lost vision for a moment. Everything was happening all at once and still, Nathan felt like it was an eternity of pain.

Nathan’s hair thickened, turning into soft, dark strands that fell casually over his forehead. His ears reshaped slightly to match his new head structure. A sensation of warmth spread through his throat as his vocal cords tightened, his voice box reshaping. When he tried to speak, his voice was deeper, richer, and carried a slight accent, a relaxed, Western drawl.

Nathan felt a growing warmth in his groin and realized what was about to happen now. All of a sudden, he regrated giving Cody such a big dick and heavy nuts. His cock thickened and lengthened, becoming larger than Nathan had ever been. He could feel the veins snaking down his growing dick as his cock head started to grow thicker and bigger. He could feel the cold air surrounding him as the head sneaked out of his foreskin. Wait, his foreskin? He didn’t remember going this far in details. His nuts fall down and grew thicker and full of potent cum as he could feel them going overload working on creating new manly sperm nonstop. Nathan could feel the horniness starting to rise as his body was assaulted by huge amount of testosterone. A drop of precum appeared at the tip of his cock as he could feel the weight of it between his legs, an odd sensation that both embarrassed and intrigued him. His buttocks tightened, becoming firm and lifted, while his thighs and calves thickened with muscle.

The transformation was almost complete when Nathan felt a sharp pain on his left pec. He wanted to scream, but his body was still frozen. The pain was like a branding iron pressing into his skin. “What is this?!” screamed Nathan in his new deep voice. A voice appeared from all around him “Dear user: NATHAN BROWN, as talked with you earlier on, you agreed to review and help us create the new generation of AI used for our NPCs. For that, your character, CODY, will have to be monitored. This assignation, XXIV, is the link to your identity and allow us to track your character. Please relax as your actions will be tracked and then saved. The program will make sure to copy all your movements, thoughts and everything that your character, CODY, might do to make sure to copy human mechanism that will be implemented in our NPCs later on. Thank you for your service.” When it subsided, a Roman numeral tattoo “XXIV” was there, bold and black, as if it had always been part of him. Nathan could feel the tattoo pulsing with energy, as if it was more than just ink on skin.

As his body finished transforming, clothes materialized around him. He now wore a sleeveless, open checkered flannel shirt and a short pair of denim shorts. Then he felt his ear being stabbed as the earing appeared in it and the coldness of the silver metal appeared around his neck. His feet then started to tingle as Nathan could feel the skin of his sole getting thicker and denser to better serve his barefoot lifestyle in the forest.

Nathan was terrified about what he just heard; his humanity was going to be used to program AI that will be implemented in NPCs. How is that even possible? Does that mean he was Cody now? And for a whole month? He didn’t agree to this. He had a life outside, friends, job to find, maybe some interviews if he was lucky. And about the bills? What was he going to do?

As all the questions were swirling in his head, Nathan fell the restriction holding his body in place as it was being modified lift. He could move on his own again, and the first thing he tried to do was take of his shirt or necklace. But every tug on the clothes or metal fell like he was trying to rip a part of him away. The clothes were part of him now. Nathan started to feel tears rise once again in his ears as all he could see around him were the infinite void of this artificial world. “Modification process terminated, Assimilation to the realm starting in 3,2,1…” Out of nowhere, the ground started to shake under Nathan’s barefoot. Then he saw light pierce through the ceiling. As a reflex, he put his hands to cover his bright hazel eyes but the light was way too bright. Nathan could see entire walls of darkness vanish and being obliterated by this bright light coming from above and fear started to raise in him. Nathan closed his eyes as all he could see was the infinite light engulfing the void and him with it. When he opened his eyes, Nathan was alone in a cabin in the woods, standing in front of a mirror. For the first time, he could see from the first person point of view what the body he created really looked like. Everything was looking so life like, even scent of pine and dirt were coming from the opened window next to him. He could smell the woods, feel the sun on his skin, the wood under his foots. Everything was lifelike. As Nathan sight started to look what his transformed body looked like, his head started to spin. Nathan grabbed it with his two manly hands but the pain was growing stronger. And in the blink of an eye, Nathan was no more. Cody stared at his reflection before smiling and flexing his biceps while smiling. His right hand lowered to get inside his shorts and scratch his hairy dick before putting his fingers under his nose to smell his musk. Cody laughed as he walked away, grabbing a snack on his way out to go exercise a bit in the nature.

“New NPC starting test phase. Remaining time 30 days, 23 hours 59 minutes 23 seconds. Behavior analysis… Acting following user NATHAN BROWN encoding. Tester assimilation… Assimilation stable, user will turn back when tests are over.”

______________________________________________________________ Hey guys! Here's another story back from the Vault, and it's my first ever published story: LifeX Hope you guys enjoy this new version of my story. Let me know what you think of it. As always, my asks are open and i'm always looking for new ideas and prompts from you. I try to answer them all and I love to read your ideas so please, don't be afraid to send anything you'd like me to write and I'll do my best to do it :) Take care of yourself! P.S. A follow up to this story should arrive soon ;)

[kimyoonmiauthor]

Ethics and GenAI, the Justification parade.

Here are some of the top current hits from the pro-GenAI people.

It's not evil as long as it's not done to me.

It's a I'm fine with Gen AI stealing from other people, en masse, but as long as it doesn't steal from ME, it's ethically fine for me to use it.

Uhhhh....

2. It's stealing from other people anyway, so I may as well steal from them too.

Imperialism. So imperialism was A-OK. You see, everyone else was doing it at the time, so I may as well too. This makes you Thomas Jefferson. He was like, I know slavery is wrong, bro, but you know, I gotta have my slaves and my Sally Hemmings.

3. But I'm poor. Like really poor.

So stealing from other poor people makes it A-OK? You don't want to steal from the rich and punch upwards, you want HG Wells vision of the future to be true.

You can get editing for free, if you're patient, kind and generous yourself.

You can get art for 10 sometimes 20 bucks. Or you can simply spend the time to learn. The hardest part of any cover is the typography. You can have a really beautiful cover with well-set type. I posted tutorials. For. Free. Artists share their knowledge. It's only the time you take to learn. And when you learn, you'll create a cover that's far more unique and stands out in the market than if you steal.

4. It's not going to stop anyway...

Other evil deeds in the world are probably not going to stop either, does that mean one should do them. People steal all of the time. People steal my packages in my building. Does that mean I should do it too? Or should I do kind things like make sure my neighbors get the packages they are owed? Should I take action against it.

5. But it's like really mean and shit to harass people who are using genAI.

If someone is being a broker for an art thief, yes, you should let them know if they are doing it wittingly or unwittingly.

The AI bubble was going to break (https://www.youtube.com/watch?v=M3U5UVyGTuQ), but then they fucking forced it back into computers. So no. I, who know technology, can program (a bit shittily), have every right to tell you that using AI is bad for your book, bad for creativity, and bad for you.

Conclusion

I've solidly mocked the hell out AI before. Because it is a law of averages, and the average humanity is not amazing. It is boring, often wrong, and never unique like creativity demands we are. But individual and the collective of humanity can be extraordinary, if we put our minds to it.

If you use the crutch of AI to give you all of your writing advice, all of your research, to never really think how to do things DIFFERENTLY, how to CHANGE what is in front of you, How ANALYZE your information, you give into the humdrum of complacency, and instead of AI being the robot, you becomes the nice conforming drone.

Creativity is the antithesis of averages, or complacency, which is why I love my fellow artist. I refuse to use crutches. I love my fellow human more than the GenAI. I love the individuality, the uniqueness, and I think humanity is better than the mean it spits at us, be it racism, sexism, violence, conflict, or simply a load of wrong. I want to celebrate the right thing in my art: The craft and the ingenuity of humanity in the right way.

BTW, I gave Deepseek a quick and brief go around to see if it knew anything, and it was also very wrong. Like multitudes of wrong. (I expected as much since I gave it a niche question I know the answer to, but the public doesn't)

I ended up finding the answer myself with a lot of elbow grease (and I found a not average way to find the answer), but GenAI would teach you to give up and have no tenacity. And I can't abide by that. Why rob yourself of the plot bunnies to come? That's why you are getting stuck. Enjoy the journey to the answer. Your brain is 38 trillion times stronger than our current computers. Enjoy that, because it also burns less energy than a GenAI machine. https://www.crucial.com/blog/technology/how-does-the-human-brain-compare-to-a-computer

The human brain likes novelty. https://www.ciis.edu/news/novelty-keeps-your-brain-healthy

So keep your brain healthy and make your novel, well, novel, not human average. Find a solution to the problem you posed to yourself in a not average way. Because I guarantee you, that will be far more engaging to read, to enjoy, to see, to experience than anything that the average of humanity has ever come up with. Be not normal. And in that, you are creative.

[carlhofelina]

Why Empowering Your Tech Startup Business is Key to Sustainable Growth

Tech startup businesses face many challenges, and while rapid growth is often the goal, achieving sustainable growth is essential for long-term success. Empowering your tech startup business with strategic planning, innovation, and resilience is crucial to staying competitive and ensuring a strong future.

10 Strategies for Empowering Tech Startup Businesses

1. Defining Vision and Mission

A clear vision and mission are fundamental for guiding your tech startup business. The vision sets long-term goals, while the mission outlines the approach to achieve them. By defining these elements, tech startup businesses can:

Make informed decisions

Align teams

Attract investors

A well-communicated vision also helps keep employees motivated and focused on company goals, providing direction during challenges. [1] 

2. Fostering Innovation and Agility

Innovation drives the growth of tech startup businesses, and agility ensures they can adapt quickly to changes in the market. To support innovation, tech startup businesses should:

Encourage creative thinking and experimentation

Test new ideas and adjust quickly

Stay adaptable to new technologies and consumer behaviors

Agility in response to market shifts helps maintain relevance and competitiveness.

3. Building a Resilient Business Model

A solid business model provides the foundation for sustainable growth in any tech startup business. Many tech startup businesses fail by scaling too fast without a flexible model. Key steps to build resilience include:

Diversifying revenue streams

Focusing on customer retention

Improving operational efficiency

These strategies reduce risks and ensure a stable structure for long-term growth.

4. Leveraging Technology for Efficiency

Tech startup businesses should embrace technology to streamline operations. Automation, AI, and cloud computing help reduce manual tasks, allowing tech startup businesses to focus on growth. Key tools include:

Automated workflows

CRM systems

AI-driven data analytics

These technologies boost productivity and reduce inefficiencies, helping tech startup businesses scale effectively.

5. Prioritizing Customer-Centric Strategies

Customer satisfaction is crucial for sustainable growth in any tech startup business. Startups should build strong relationships with customers by:

Gathering feedback and adapting products or services

Improving user experience

Offering personalized solutions

A customer-focused approach increases loyalty, encourages referrals, and reduces churn.

6. Investing in Talent and Leadership

The strength of your team determines the success of your tech startup business. Investing in talent means fostering an environment of growth through:

Encouraging communication and collaboration

Providing skill development opportunities

Rewarding innovation and problem-solving

When employees feel valued, they contribute to the company's long-term growth and success.

7. Addressing Regulatory and Compliance Challenges

Tech startup businesses must ensure compliance with relevant regulations to avoid risks. Common challenges include:

Intellectual property rights

Data privacy laws

Industry-specific regulations

By staying proactive in compliance, tech startup businesses build trust with investors, customers, and partners.

8. Incorporating Sustainable Practices

Sustainability is now essential for businesses, including tech startup businesses. Startups should integrate sustainable practices, such as:

Reducing environmental impact

Implementing remote work policies

Supporting ethical supply chains

Sustainable practices not only appeal to eco-conscious customers but also contribute to long-term profitability.

9. Forming Strategic Partnerships

Strategic partnerships help accelerate growth for tech startup businesses and provide additional resources. Startups can benefit from partnerships by:

Expanding into new markets

Sharing knowledge and resources

Reducing costs and risks

Strong partnerships increase credibility and provide a competitive edge.

10. Maintaining Financial Discipline

Financial discipline ensures long-term success for any tech startup business. Startups must manage their resources carefully to avoid running out of capital. Key strategies include:

Monitoring cash flow

Diversifying funding sources

Prioritizing profitability

Financial discipline prepares tech startup businesses for unexpected challenges and allows for reinvestment in growth.

Conclusion

Empowering your tech startup business involves focusing on key areas such as vision, innovation, resilience, and financial discipline. By building a strong foundation in these areas, tech startup businesses can ensure long-term growth and success in an ever-changing market.

Additionally, effective lead gen strategies, such as leveraging the services provided by companies like Radius Global Solutions, and maintaining high data quality service, can significantly enhance the growth potential of your tech startup business.

Ready to empower your startup? Start implementing these strategies today and set the foundation for a sustainable, successful future. Visit Best Virtual Specialist to learn how our solutions can help your business grow.

Reference: 

https://www.linkedin.com/pulse/future-proofing-tech-startups-ensuring-sustainability-sanyal-ho8ec/ 

[partisan-by-default]

Mohandas, who taught himself programming and is based in Bengaluru, India, decided he wanted to develop an alternative service for storing and sharing photos that is open source and end-to-end encrypted. Something “more private, wholesome, and trustworthy,” he says. The paid service he designed, Ente, is profitable and says it has more than 100,000 users, many of whom are already part of the privacy-obsessed crowd. But Mohandas struggled to articulate to wider audiences why they should reconsider relying on Google Photos, despite all the conveniences it offers.

Then one weekend in May, an intern at Ente came up with an idea: Give people a sense of what some of Google’s AI models can learn from studying images. Last month, Ente launched https://Theyseeyourphotos.com, a website and marketing stunt designed to turn Google’s technology against itself. People can upload any photo to the website, which is then sent to a Google Cloud computer vision program that writes a startlingly thorough three-paragraph description of it. (Ente prompts the AI model to document small details in the uploaded images.)

One of the first photos Mohandas tried uploading was a selfie with his wife and daughter in front of a temple in Indonesia. Google’s analysis was exhaustive, even documenting the specific watch model that his wife was wearing, a Casio F-91W. But then, Mohandas says, the AI did something strange: It noted that Casio F-91W watches are commonly associated with Islamic extremists. “We had to tweak the prompts to make it slightly more wholesome but still spooky,” Mohandas says. Ente started asking the model to produce short, objective outputs—nothing dark.

The same family photo uploaded to Theyseeyourphotos now returns a more generic result that includes the name of the temple and the “partly cloudy sky and lush greenery” surrounding it. But the AI still makes a number of assumptions about Mohandas and his family, like that their faces are expressing “joint contentment” and the “parents are likely of South Asian descent, middle class.” It judges their clothing (“appropriate for sightseeing”) and notes that “the woman's watch displays a time as approximately 2 pm, which corroborates with the image metadata.”

[govindhtech]

Genio 510: Redefining the Future of Smart Retail Experiences

Genio IoT Platform by MediaTek

Genio 510

Manufacturers of consumer, business, and industrial devices can benefit from MediaTek Genio IoT Platform’s innovation, quicker market access, and more than a decade of longevity. A range of IoT chipsets called MediaTek Genio IoT is designed to enable and lead the way for innovative gadgets. to cooperation and support from conception to design and production, MediaTek guarantees success. MediaTek can pivot, scale, and adjust to needs thanks to their global network of reliable distributors and business partners.

Genio 510 features

Excellent work

Broad range of third-party modules and power-efficient, high-performing IoT SoCs

AI-driven sophisticated multimedia AI accelerators and cores that improve peripheral intelligent autonomous capabilities

Interaction

Sub-6GHz 5G technologies and Wi-Fi protocols for consumer, business, and industrial use

Both powerful and energy-efficient

Adaptable, quick interfaces

Global 5G modem supported by carriers

Superior assistance

From idea to design to manufacture, MediaTek works with clients, sharing experience and offering thorough documentation, in-depth training, and reliable developer tools.

Safety

IoT SoC with high security and intelligent modules to create goods

Several applications on one common platform

Developing industry, commercial, and enterprise IoT applications on a single platform that works with all SoCs can save development costs and accelerate time to market.

MediaTek Genio 510

Smart retail, industrial, factory automation, and many more Internet of things applications are powered by MediaTek’s Genio 510. Leading manufacturer of fabless semiconductors worldwide, MediaTek will be present at Embedded World 2024, which takes place in Nuremberg this week, along with a number of other firms. Their most recent IoT innovations are on display at the event, and They’ll be talking about how these MediaTek-powered products help a variety of market sectors.

They will be showcasing the recently released MediaTek Genio 510 SoC in one of their demos. The Genio 510 will offer high-efficiency solutions in AI performance, CPU and graphics, 4K display, rich input/output, and 5G and Wi-Fi 6 connection for popular IoT applications. With the Genio 510 and Genio 700 chips being pin-compatible, product developers may now better segment and diversify their designs for different markets without having to pay for a redesign.

Numerous applications, such as digital menus and table service displays, kiosks, smart home displays, point of sale (PoS) devices, and various advertising and public domain HMI applications, are best suited for the MediaTek Genio 510. Industrial HMI covers ruggedized tablets for smart agriculture, healthcare, EV charging infrastructure, factory automation, transportation, warehousing, and logistics. It also includes ruggedized tablets for commercial and industrial vehicles.

The fully integrated, extensive feature set of Genio 510 makes such diversity possible:

Support for two displays, such as an FHD and 4K display

Modern visual quality support for two cameras built on MediaTek’s tried-and-true technologies

For a wide range of computer vision applications, such as facial recognition, object/people identification, collision warning, driver monitoring, gesture and posture detection, and image segmentation, a powerful multi-core AI processor with a dedicated visual processing engine

Rich input/output for peripherals, such as network connectivity, manufacturing equipment, scanners, card readers, and sensors

4K encoding engine (camera recording) and 4K video decoding (multimedia playback for advertising)

Exceptionally power-efficient 6nm SoC

Ready for MediaTek NeuroPilot AI SDK and multitasking OS (time to market accelerated by familiar development environment)

Support for fanless design and industrial grade temperature operation (-40 to 105C)

10-year supply guarantee (one-stop shop supported by a top semiconductor manufacturer in the world)

To what extent does it surpass the alternatives?

The Genio 510 uses more than 50% less power and provides over 250% more CPU performance than the direct alternative!

The MediaTek Genio 510 is an effective IoT platform designed for Edge AI, interactive retail, smart homes, industrial, and commercial uses. It offers multitasking OS, sophisticated multimedia, extremely rapid edge processing, and more. intended for goods that work well with off-grid power systems and fanless enclosure designs.

EVK MediaTek Genio 510

The highly competent Genio 510 (MT8370) edge-AI IoT platform for smart homes, interactive retail, industrial, and commercial applications comes with an evaluation kit called the MediaTek Genio 510 EVK. It offers many multitasking operating systems, a variety of networking choices, very responsive edge processing, and sophisticated multimedia capabilities.

SoC: MediaTek Genio 510

This Edge AI platform, which was created utilising an incredibly efficient 6nm technology, combines an integrated APU (AI processor), DSP, Arm Mali-G57 MC2 GPU, and six cores (2×2.2 GHz Arm Cortex-A78& 4×2.0 GHz Arm Cortex-A55) into a single chip. Video recorded with attached cameras can be converted at up to Full HD resolution while using the least amount of space possible thanks to a HEVC encoding acceleration engine.

FAQS

What is the MediaTek Genio 510?

A chipset intended for a broad spectrum of Internet of Things (IoT) applications is the Genio 510.

What kind of IoT applications is the Genio 510 suited for?

Because of its adaptability, the Genio 510 may be utilised in a wide range of applications, including smart homes, healthcare, transportation, and agriculture, as well as industrial automation (rugged tablets, manufacturing machinery, and point-of-sale systems).

What are the benefits of using the Genio 510?

Rich input/output choices, powerful CPU and graphics processing, compatibility for 4K screens, high-efficiency AI performance, and networking capabilities like 5G and Wi-Fi 6 are all included with the Genio 510.

Read more on Govindhtech.com

[allindustryforcastreports]

Global Geospatial Analytics Market – $33B (2024) to $56B by 2029, 11.1% CAGR

Segmentation Overview The geospatial analytics market is segmented by:

Type: Surface & field analytics; Geovisualization; Network analysis; Artificial neural networks; Others

Technology: Remote sensing; GPS; GIS; Others

Solutions: Geocoding & reverse geocoding; Reporting & visualization; Thematic mapping & spatial analysis; Data integration & ETL; Others

Applications: Surveying; Disaster risk reduction & management; Medicine & public safety; Climate change adaptation; Predictive asset management; Others

End-Users: Agriculture; Defense & intelligence; Utilities & communication; Automotive; Government; Travel & logistics; Others

Regions: North America; Latin America; Europe; Asia-Pacific; Middle East & Africa To buy the report, click on https://www.datamintelligence.com/buy-now-page?report=geospatial-analytics-market

Market Size & Forecast

The global geospatial analytics market is projected to expand at a CAGR of 12.8% between 2024 and 2031.

Other projections estimate market growth from USD 32.97 billion in 2024 to USD 55.75 billion by 2029.

A broader estimate values the market at USD 114.3 billion in 2024, expected to reach over USD 226.5 billion by 2030.

Introduction & Definition

Geospatial analytics is the process of gathering, interpreting, and visualizing location-based data—drawn from satellites, GPS, mobile devices, sensors, and social media—using GIS, AI, and computer vision. This powerful fusion helps governments and businesses gain real-time insights into transportation, urban planning, agriculture, disaster response, defense, utilities, and logistics.

Market Drivers & Restraints

Key Drivers:

Smart City Expansion: The proliferation of IoT sensors and connected devices in urban infrastructure drives demand for spatial analytics to manage traffic, utilities, public safety, and emergency planning.

Technological Integration: Advances in AI, 5G, satellite imaging, and edge computing enable high-resolution, real-time spatial decision-making.

Enterprise Adoption: Widespread demand for location intelligence across sectors—such as agriculture, defense, utilities, transportation, and retail—boosts comprehensive geospatial integration.

Restraints:

Privacy & Security: Handling sensitive spatial data raises concerns over surveillance, data protection, and regulatory compliance.

Data Complexity: Integrating varied data sources—maps, sensors, satellite imagery—remains a challenge due to formatting and standardization issues.

Cost & Skills Gap: High initial investment and talent shortages for GIS and AI expertise hinder full-scale adoption.

Segmentation Analysis

By Type: Surface & field analytics lead due to applications in topography, hydrology, and asset monitoring. Geovisualization supports urban planning and stakeholder communication.

By Technology: GIS dominates software solutions; GPS and remote sensing—particularly LiDAR, radar, and GNSS—are key data capture technologies.

By Solutions: Thematic mapping and ETL tools are in high demand for data-driven decisions across utilities, logistics, and infrastructure.

By Applications: Surveying, disaster mitigation, climate adaptation, asset management, medicine, and public safety are major application fields.

By End-Users: Agriculture (precision farming), defense (geospatial intelligence), utilities, transportation, government services, and logistics are top verticals.To get a free sample report, click on https://www.datamintelligence.com/download-sample/geospatial-analytics-market

Geographical Insights

North America: Holds the largest market share (~34% in 2024), driven by government and defense investments, smart cities, and GIS adoption.

Europe: Adoption spans from transport and delivery logistics to environmental tracking; EU programs boost earth observation and AI integration.

Asia-Pacific: Fastest-growing region due to rapid urbanization and expansion in countries like China, India, and Japan.

Middle East & Africa: High growth supported by smart city initiatives and infrastructure investments.

Recent Trends or News

AI-Embedded Spatial Tools: Major GIS platforms are embedding AI and machine learning for predictive analysis.

Mobile Mapping & 3D Scanning: Use of LiDAR-equipped vehicles and drones is increasing rapidly in infrastructure and mapping applications.

Pandemic & Disaster Applications: The pandemic accelerated use of geospatial analytics for vaccine distribution, health mapping, and crisis response.

Competitive Landscape

Leading companies in the geospatial analytics market include:

Microsoft

Google

General Electric (GE)

SAP

Salesforce

Precisely

Oracle

RMSI

OmniSci

Maxar Technologies

Hexagon AB

TomTom

Trimble

Esri

CARTO

Orbital Insight

These companies lead through AI-powered tools, cloud-native GIS, satellite imagery, mobile solutions, and strategic acquisitions.

Impact Analysis

Economic Impact: Geospatial analytics streamlines operations—optimizing routes, reducing resource wastage, and enhancing project ROI.

Environmental Impact: Unlocks data for spatial monitoring—supporting climate modeling, land-use mapping, environmental compliance, and disaster mitigation.

Social Impact: Shapes public health response systems, emergency services, and urban planning, while challenging privacy norms.

Technological Impact: Drives growth in cloud GIS, AI-engineered mapping, real-time analytics, and sensor networks, enabling scalable spatial insights.

Key Developments

GeoAnalytics Engine by Esri: An AI-integrated GIS platform for advanced spatial querying and real-time analytics.

Hexagon Captura Launch: Optical sensor-based system enhancing spatial measurement precision.

CADLM Acquisition by Hexagon: Adds simulation and reliability modeling for enhanced engineering workflows.

Orbital Insight Growth: Enhances satellite-based analytics capabilities through new partnerships and investment.

Report Features & Coverage

This market report includes:

Global and regional market sizing (2018–2024) with forecasts to 2031

In-depth segmentation by type, technology, solution, application, industry, and region

Competitive landscape with company profiling

Key trends, opportunities, and growth challenges

SWOT analysis, Porter’s Five Forces, and market attractiveness index

Recent innovations and investment updates

About Us

We are a global market intelligence firm committed to delivering in-depth insights across emerging technologies. Our expertise in geospatial analytics helps clients unlock data-driven innovation, streamline operations, and improve strategic planning across industries. We provide accurate forecasting, custom reports, and actionable guidance tailored to enterprise and government needs.

Contact Us

Email: info@datamintelligence.com

Phone: +1 877 441 4866

[lukeresearchsper]

AIoT Market Growth, Drivers & Opportunities 2034

The Internet of Things (IoT) and Artificial Intelligence (AI) are combined in AIoT (Artificial Intelligence of Things), which creates intelligent, networked systems that can gather data, analyse it, and make decisions on their own. AIoT improves IoT devices' functionality, efficiency, and flexibility by incorporating AI features including computer vision, machine learning, and natural language processing. In addition to communicating and exchanging information, this technology allows smart devices to anticipate results, learn from data trends, and streamline procedures without the need for human intervention. In order to enhance automation, security, and user experience, AIoT is extensively used in smart homes, healthcare, manufacturing, transportation, and other sectors.

According to SPER market research, ‘Global AIoT Market Size- By Component, By Deployment, By End User - Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global AIoT Market is predicted to reach 2737.44 billion by 2034 with a CAGR of 31.91%.

Drivers:

Because smart automation and predictive maintenance are increasing operational efficiency in the manufacturing sector, the worldwide AIoT market is expanding significantly. By fusing real-time analytics and sophisticated data processing, AIoT platform devices provide great efficiency and facilitate quicker, better-informed decision-making. For improved performance and productivity, this capability is being used more and more in a variety of industries, such as healthcare, transportation, and energy. Furthermore, governments' and businesses' increasing expenditures in IoT infrastructure and AI technologies are spurring innovation and integration of AIoT solutions, which are crucial for digital transformation and gaining a competitive edge in the global market.

Request a Free Sample Report: https://www.sperresearch.com/report-store/aiot-market.aspx?sample=1

Restraints:

The shortage of skilled professionals in both AI and IoT technologies is one of the main challenges facing the worldwide AIoT sector. Businesses capacity to successfully deploy and administer AIoT technologies is hampered by this skilled shortage. Significant difficulties are also presented by the intricacies of the industry value chain, including system integration, data security, and interoperability among various devices. Some organisations find it challenging to fully realise the potential benefits of AIoT due to these problems, which raise deployment costs and cause implementation delays.

Because of its robust technological infrastructure, which includes cutting-edge IT systems and high-performance computers, North America held a sizable market share. The expansion of sophisticated AIoT solutions is facilitated by significant investments in R&D as well as collaborations with academic institutions. Government initiatives supporting telemedicine and digital health solutions are supporting the rapid use of AIoT technology in the healthcare industry. Some of the key market players are Google LLC, IBM Corporation, Microsoft, Oracle, PTC, Salesforce, Inc, SAS Institute, Inc, and others.

For More Information, refer to below link: – 

AIoT Market future

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[gis56]

🛒 Self-Checkout System Market Size, Share & Growth Analysis 2034: Retail’s No-Line Revolution

Self-Checkout System Market is undergoing a transformative shift as retailers increasingly prioritize speed, convenience, and automation. Self-checkout systems, which empower customers to complete purchases without cashier assistance, are rapidly becoming an integral part of modern retail strategies. These systems include hardware like kiosks, payment terminals, and scanners, as well as software platforms that manage transactions, inventory, and customer data. In 2024, the market recorded an impressive 320 million units in volume, projected to reach 550 million units by 2028. The global retail sector leads this trend, accounting for 55% of the market share, followed by hospitality and transportation sectors.

Market Dynamics

Several factors are fueling the growth of the self-checkout system market. Foremost among them is the increasing demand for contactless and efficient retail experiences, especially in the post-pandemic world. Customers value fast and autonomous shopping, while businesses benefit from reduced labor costs and enhanced operational efficiency. Innovations in artificial intelligence (AI), machine learning, and computer vision have elevated the capabilities of these systems, enabling real-time inventory tracking, fraud prevention, and biometric authentication.

Click to Request a Sample of this Report for Additional Market Insights: https://www.globalinsightservices.com/request-sample/?id=GIS24605

However, challenges persist. High upfront costs can deter small retailers, and concerns about shoplifting and technical glitches pose operational risks. Maintenance and integration with existing retail systems also add complexity. Despite these hurdles, the overall trajectory of the market remains upward, driven by continuous innovation and growing consumer acceptance.

Key Players Analysis

The competitive landscape of the self-checkout system market features both established and emerging players. Industry leaders like NCR Corporation, Toshiba Global Commerce Solutions, and Diebold Nixdorf dominate with robust product portfolios and global reach. Companies such as Fujitsu, ITAB Shop Concept, and Pan-Oston contribute with innovative hardware solutions, while newer entrants like Mashgin, Standard Cognition, and Zippin are pioneering AI-powered, contactless checkout technologies.

These players are investing in R&D to develop smarter, customizable systems and are engaging in partnerships with retailers to co-develop tailored solutions. The market is also witnessing strategic mergers and acquisitions aimed at expanding technology capabilities and geographic presence.

Regional Analysis

North America leads the global self-checkout system market, driven by a mature retail sector and high consumer demand for automation. The United States, in particular, stands out due to aggressive technological adoption and a competitive retail environment. Europe follows closely, with the UK and Germany leading the way through strong regulatory support and consumer preference for self-service.

Asia-Pacific is emerging as a high-growth region, fueled by rapid urbanization, rising disposable incomes, and the digital transformation of retail in countries like China and India. Latin America and the Middle East & Africa are also witnessing gradual adoption, with Brazil, Mexico, UAE, and South Africa exploring self-checkout solutions to modernize retail infrastructure and improve customer experiences.

Recent News & Developments

Recent innovations are rapidly reshaping the self-checkout system market. AI and ML integration has significantly improved transaction speed and accuracy, while mobile-enabled systems are bridging the gap between online and offline retail. The pandemic accelerated the shift to contactless technology, making self-checkout a default expectation in many urban retail environments.

Pricing for self-checkout systems varies widely — from basic setups starting at $5,000 to advanced solutions costing upwards of $25,000. Retailers are seeking a balance between affordability and advanced features such as real-time analytics, digital receipts, and sustainability-focused designs. In parallel, companies are emphasizing compliance with global data protection regulations, investing in secure systems that safeguard customer information.

Browse Full Report : https://www.globalinsightservices.com/reports/self-checkout-system-market/

Scope of the Report

This report offers a comprehensive analysis of the self-checkout system market from 2018 through 2034, with a detailed forecast period of 2025–2034. It explores key market drivers, technological trends, and consumer behavior patterns across types, applications, and regions. Through value chain, PESTLE, and SWOT analyses, the report uncovers market dynamics and identifies strategic opportunities for stakeholders.

The study covers diverse segments such as product types (kiosks, mobile), technologies (barcode, RFID, AI), and end-users (supermarkets, department stores). It also includes insights on competitive strategies, regulatory impacts, and emerging players transforming the industry. With a projected CAGR of 10.6%, the market is set to reach $12.3 billion by 2033, offering substantial opportunities for innovation and investment.

#selfcheckout #retailautomation #smartretailing #contactlesspayment #aiinretail #retailtech #customerselfservice #digitalretail #selfservicekiosk #futureofshopping

Discover Additional Market Insights from Global Insight Services:

Industrial Robotics Market : https://www.globalinsightservices.com/reports/industrial-robotics-market/

Printed Electronics Market :https://www.globalinsightservices.com/reports/printed-electronics-market/

Current Sensor Market : https://www.globalinsightservices.com/reports/current-sensor-market/

Fiber Optic Cables Market : https://www.globalinsightservices.com/reports/fiber-optic-cables-market/

Medical Sensors Market : https://www.globalinsightservices.com/reports/medical-sensors-market/

About Us:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

Contact Us:

Global Insight Services LLC 16192, Coastal Highway, Lewes DE 19958 E-mail: info@globalinsightservices.com Phone: +1–833–761–1700 Website: https://www.globalinsightservices.com/

[fuzzycrownking]

Autonomous Mobile Robots Market Driven by Technology, Labor Shifts, and Safety Focus

The Autonomous Mobile Robots market has emerged as a transformative force in logistics, manufacturing, healthcare, and retail industries. AMRs are self-navigating robots that rely on sensors, artificial intelligence (AI), and machine learning (ML) to perform tasks without human intervention. Their increasing integration into operations is being powered by several dynamic market drivers that are shaping the future of automation and robotics across the globe. As businesses seek greater efficiency, flexibility, and scalability, AMRs are becoming essential assets for streamlining operations and reducing manual labor.

Technological Advancements as Primary Drivers One of the strongest drivers of the AMR market is rapid technological progress. Innovations in AI, computer vision, LiDAR, and edge computing have significantly enhanced the capabilities of AMRs. These technologies enable robots to navigate complex environments, detect obstacles in real time, and make autonomous decisions. Improvements in battery life, faster processing speeds, and better data handling are allowing AMRs to operate for longer periods with higher precision. The advancement in 5G connectivity is another powerful catalyst, allowing for low-latency communication and faster data sharing between systems, which is essential for mission-critical operations.

E-commerce Growth Fuels Market Demand The exponential rise of the e-commerce sector has propelled the demand for efficient and scalable automation solutions in warehouses and distribution centers. As consumer expectations for fast and error-free deliveries increase, companies are turning to AMRs for picking, packing, and transporting goods. Major e-commerce players like Amazon and Alibaba have already incorporated AMRs in their logistics infrastructure to improve productivity and reduce reliance on manual labor. The need to optimize order fulfillment speed and accuracy makes AMRs an indispensable technology for modern warehousing.

Labor Shortages and Cost Pressures Labor shortages in logistics, manufacturing, and healthcare sectors have intensified the need for autonomous solutions. Rising labor costs, high employee turnover, and stringent safety regulations are pushing companies to automate repetitive and hazardous tasks. AMRs offer a reliable alternative by providing uninterrupted service with consistent performance. Additionally, the long-term cost benefits of AMRs—reduced labor expenses, lower injury risks, and fewer errors—are compelling enterprises to invest in them. These cost-saving advantages serve as strong drivers for AMR market growth, particularly in developed regions facing workforce constraints.

Rising Focus on Workplace Safety and Efficiency Workplace safety has become a key priority for many industries, especially after the COVID-19 pandemic. AMRs reduce the need for human interaction in dangerous or high-traffic environments, thus minimizing accidents and transmission risks. In sectors such as healthcare, AMRs are deployed for disinfection, medicine delivery, and patient assistance, which ensures both hygiene and operational efficiency. In industrial settings, they streamline internal logistics, thereby enhancing workflow continuity and decreasing downtime.

Growing Demand Across Multiple Industries Although logistics and manufacturing are currently the primary users of AMRs, adoption is rapidly expanding across healthcare, hospitality, agriculture, and defense. In hospitals, AMRs are used to transport medical supplies and assist in patient care. In agriculture, they support precision farming by monitoring crop health and managing irrigation systems. This cross-industry demand, driven by the need for automation and operational agility, is contributing significantly to market expansion. Industry-specific customization and integration capabilities further accelerate this adoption.

Government Support and Investment in Automation Government initiatives to promote Industry 4.0, smart factories, and digital transformation are also acting as market drivers. Various countries are offering subsidies, tax incentives, and research grants to support automation and robotics deployment. For example, nations in the EU and Asia-Pacific regions are investing in infrastructure and policies that encourage the use of AMRs in manufacturing and logistics. This institutional backing not only boosts R&D but also fosters collaboration between technology providers and end users.

Challenges That May Influence Growth Trajectory Despite promising drivers, the AMR market faces challenges such as high initial investment, integration complexity with existing systems, and cybersecurity threats. However, as technology matures and standardization improves, these barriers are likely to diminish. The continuous efforts by OEMs and software developers to provide scalable and user-friendly AMR solutions will ensure broader market penetration.

Conclusion: A Market Poised for Robust Expansion Driven by technological innovation, labor constraints, safety concerns, and widespread demand across industries, the Autonomous Mobile Robots market is on a trajectory of rapid growth. As businesses prioritize automation to remain competitive and resilient, AMRs will continue to redefine operational landscapes worldwide. Strategic investments, public-private partnerships, and ecosystem development will be key to unlocking the full potential of this transformative market.

[visionresearchreports]

Artificial Intelligence (AI) Robots Market Size, Share & Growth Forecast 2024–2034

Artificial Intelligence (AI) Robots Market Size and Growth Drivers The global artificial intelligence (AI) robots market size was valued at USD 16.75 billion in 2024 and is projected to reach USD 118.27 billion by 2034, registering a CAGR of 21.58%. Key Growth Factors Technological Advancements: Progress in machine learning, computer vision, natural language processing (NLP), and autonomous…

[cybersecurityict]

How do neural networks improve object recognition in self-driving cars

The Autonomous Driving Software Market was valued at USD 1.78 billion in 2023 and is expected to reach USD 5.58 billion by 2032, growing at a CAGR of 13.58% from 2024-2032.

Autonomous Driving Software Market is witnessing transformative growth as global automakers, tech giants, and AI innovators collaborate to push the boundaries of self-driving technology. The increasing demand for advanced driver assistance systems (ADAS), safety regulations, and smart mobility solutions are propelling adoption across major regions.

U.S. at the Forefront of Autonomous Innovation with Rapid Tech Integration and Strong Investment Support

Autonomous Driving Software Market continues to evolve through rapid software enhancements, real-time data processing, and sensor integration. As vehicle manufacturers accelerate their shift toward electric and autonomous platforms, software becomes the brain of next-gen transportation ecosystems.

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Market Keyplayers:

Aptiv (Aptiv Autonomous Driving Platform, Smart Vehicle Architecture)

Aurora Innovation Inc. (Aurora Driver, Aurora Horizon)

Baidu, Inc. (Apollo Autonomous Driving Platform, Apollo Go Robotaxi)

Continental AG (ContiConnect, Continental Autonomous Driving System)

Huawei Technologies Co., Ltd. (Huawei Autonomous Driving Platform, HiCar)

Mobileye (EyeQ5, Mobileye Roadbook)

Nvidia Corporation (NVIDIA Drive Platform, NVIDIA DRIVE Sim)

Pony.ai (PonyPilot, PonyOS)

Qualcomm Technologies, Inc. (Qualcomm Autonomous Driving Platform, Snapdragon Ride)

Robert Bosch GmbH (Bosch Autonomous Driving Solutions, Bosch ADAS Radar)

Waymo (Waymo Driver, Waymo One)

Uber ATG (Uber Advanced Technologies Group, Uber ATG Self-Driving System)

Tesla, Inc. (Full Self-Driving (FSD), Autopilot)

Apple Inc. (Apple Car Project, Apple Autonomous Driving Platform)

Zoox (Zoox Autonomous Vehicle, Zoox Self-Driving System)

Velodyne Lidar (Velodyne Alpha Puck, Velodyne VLS-128 Lidar)

Autoliv (Autoliv Autonomous Driving Safety, Autoliv Vision System)

LeddarTech (LeddarPixell, LeddarVision)

Daimler AG (Mercedes-Benz Autonomous Driving System, Drive Pilot)

Market Analysis

The market is characterized by intense R&D activity, high-profile partnerships, and growing regulatory backing. In the U.S., investments in autonomous testbeds and smart infrastructure are advancing at pace. Europe is equally active, with a focus on regulatory harmonization and sustainability. These regions are driving software-centric vehicle architectures with AI, machine learning, and edge computing capabilities at the core.

Startups and OEMs are leveraging simulation environments and real-world datasets to optimize algorithms for obstacle detection, route planning, and decision-making under diverse driving conditions. Software-defined vehicles are emerging as the new industry standard, shifting the focus from hardware to intelligent platforms.

Market Trends

Rise in Level 2+ and Level 3 autonomous deployments

Growth in cloud-native vehicle software and OTA (over-the-air) updates

Increased use of HD mapping, LiDAR, and V2X (vehicle-to-everything) tech

AI/ML adoption for decision logic and environment perception

Expansion of open-source software ecosystems for autonomous stacks

Cybersecurity enhancements for connected vehicle safety

Cross-industry partnerships between tech firms and auto OEMs

Market Scope

The scope of the Autonomous Driving Software Market extends beyond passenger vehicles to include logistics, ride-sharing, and public transportation. The transition to software-defined vehicles is unlocking new revenue streams and operational efficiencies.

Modular software stacks for multiple vehicle platforms

Real-time decision-making under varying traffic scenarios

Scalable cloud and edge architecture for autonomous fleets

Localization and path prediction using deep learning

Fleet management integrations for delivery and robo-taxi services

Regulatory compliance features for safety validation

Global testing platforms simulating varied urban environments

Forecast Outlook

The Autonomous Driving Software Market is set to witness exponential evolution driven by advancements in AI, real-time sensor fusion, and vehicle-to-infrastructure connectivity. With regulatory frameworks maturing and consumer acceptance increasing, autonomous mobility is shifting from concept to commercial reality. The U.S. and Europe will remain epicenters of innovation, with continuous developments in software platforms that ensure safety, efficiency, and adaptability in real-world conditions.

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Conclusion

The race toward autonomy is no longer a distant vision—it’s accelerating with precision and purpose. The Autonomous Driving Software Market represents the critical intelligence layer powering the future of mobility. From Silicon Valley startups to German automotive giants, the push for smarter, safer, and more connected driving experiences is reshaping how the world moves.

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[article1111]

10 Global Logistics Trends Shaping Courier Industry : And Why They Will Stay

The supply chain industry is undergoing a profound transformation, shaped by technological leaps, shifting consumer expectations, and mounting regulatory and sustainability pressures. As we look toward 2025, it’s clear that only those organizations willing to embrace change, invest in innovation, and put the customer at the center of their strategy will thrive. Here’s our take on the 10 trends truly redefining the future of supply chain and courier logistics-and why they matter now more than ever. Logistics trends 2025

1. Customer-Centric Delivery: The Era of Experience

The days of “one-size-fits-all” delivery are over. Customers now demand hyper-personalized delivery options-flexible time windows, alternate pickup points, and seamless returns. Real-time notifications and proactive communication are no longer perks but expectations. Companies that invest in these touchpoints build loyalty and stand out in a crowded market, especially as e-commerce parcel volumes continue to surge globally.

2. Automation, Robotics, and Smart Warehousing

Warehouse automation is no longer futuristic-it’s foundational. AI-powered route optimization, robotic process automation, and AGVs are transforming fulfillment centers, slashing operational costs, and boosting accuracy. Fortune Business Insights predicts the logistics robotics market will grow at a CAGR of 16.7%, reaching $21.01 billion by 2029 from $7.11 billion in 2022, and those who lag in adoption risk being left behind. Automated sorting, computer vision, and pilot programs for drones and autonomous vehicles are already reshaping last-mile delivery, making speed and precision the new norm.

3. Sustainability: From Buzzword to Business Imperative

Sustainability is now a boardroom priority. Electric vehicle fleets, eco-friendly packaging, and green warehousing are moving from pilot projects to mainstream investments. The EV penetration in logistics is projected to hit 14% by 2030 driven by a 123% CAGR in E-LCV sales, reaching ~236K units annually. This, along with regulatory frameworks like ESG Scope 3 tightening, companies must future-proof their operations or risk losing market access. Circular economy initiatives and lifecycle accountability are fast becoming competitive differentiators.

4. Data Analytics and Predictive Logistics through AI

Data is the new supply chain currency. Predictive analytics and big data are empowering businesses to forecast demand with unprecedented accuracy, optimize inventory, and proactively resolve bottlenecks. Real-time dashboards are giving operations leaders the insights they need to make split-second decisions, driving both efficiency and customer satisfaction.

5. Resilience and Agility: Building Shock-Proof Networks

The pandemic and geopolitical shocks have exposed the fragility of global supply chains. The winners in 2025 will be those who diversify supplier networks, build flexible logistics architectures, and invest in robust contingency planning. Agility is no longer optional-it’s existential. The ability to pivot quickly in response to disruptions will separate the leaders from the laggards.

6. Hyper-Localization and Micro-Fulfillment

Urbanization and the demand for instant delivery are fueling a boom in micro-fulfillment centers and hyper-local inventory management. By placing stock closer to the end customer, companies can offer same-day or even one-hour delivery, a key differentiator in industries like food, healthcare, and fashion. This trend also helps reduce last-mile emissions and costs.

7. Collaborative Logistics and Ecosystem Partnerships

No company can go it alone. Strategic partnerships with e-commerce platforms, crowd-sourced delivery models, and shared logistics networks are unlocking new efficiencies and reach. By pooling resources and infrastructure, organizations can scale faster and serve customers better, all while keeping costs in check.

8. Blockchain and Radical Transparency

Blockchain is moving from hype to real-world impact. End-to-end supply chain visibility, tamper-proof tracking, and smart contracts are enhancing trust, reducing fraud, and streamlining documentation. As regulatory and consumer scrutiny intensifies, transparency will be a non-negotiable standard for doing business.

9. The On-Demand Economy and Instant Gratification

The “now economy” is in full swing. Instant delivery services, dynamic routing, and flexible delivery windows are becoming table stakes. Logistics providers must be able to adapt in real time to fluctuating demand, leveraging gig economy models and advanced scheduling to keep pace with customer expectations.

10. Regulatory Complexity and Compliance

From data privacy to labor standards and environmental regulations, the compliance landscape is growing more complex. Companies must stay ahead of evolving rules, particularly as governments clamp down on emissions and mandate higher standards for worker welfare and data protection. Those who treat compliance as a strategic advantage-rather than a box-ticking exercise-will win trust and market share.

Conclusion

By 2025, the supply chain industry will be defined by relentless innovation, sustainability leadership, and a laser focus on customer experience. The convergence of automation, data intelligence, and ecosystem collaboration will create a new era of logistics-one that is faster, greener, and more resilient than ever before. The message is clear: adapt boldly, invest wisely, and put the customer at the heart of every decision. The future belongs to those who lead, not follow. Which team do you belong to?