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bharatbriefs · 9 months

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AI is watching you! Ahmedabad becomes India's 1st city to get AI-linked surveillance system

In a groundbreaking development, Ahmedabad has emerged as the first city in India to employ artificial intelligence (AI) for comprehensive monitoring by the municipal corporation and police across the entire city. The city’s expansive Paldi area is now home to a state-of-the-art artificial intelligence-enabled command and control centre, featuring a remarkable 9 by 3-metre screen that oversees an…

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#Ahmedabad #ahmedabad AI #Ahmedabad AI control room #ahmedabad AI surveillance #Ahmedabad municipal corporation AI surveillance #ai #AI camera technology #AI driven urban safety #AI in traffic rule enforcement #AI traffic management #india #Police AI monitoring system

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rednblacksalamander · 3 months

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History of the Techbro

#political cartoon #capitalism #technology #ai is not art #computer #history #cars #photography #cameras #cavemen #prehistoric #web comics

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nuacam · 3 months

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So excited to have my hands of the first proper prototype of my NuaCam project. It's crazy to see just how far I have come in a few short months, growing this from a simple idea to a functional device. The goal is to build a camera which utilising ai stylisation to capture reality in a new light. Now I can focus on improving the ai side to try and create exciting styles to use. The first prototype was causing lots of lost hours debugging due to lose wires, so I bite the bullet and designed this pcb to help me develop the software side.

#embedded #technology #electronic project #electronics #startup #camera #ai photography #hobby #pcb #pcb assembly #electronic engineering #project #nuacam

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street-corner-felines · 2 months

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Zero Day Director commentary - With actor Andre Keuck

#movies #film #cinema #Damn I wish Cal was here #Andre and Ben are really interesting to listen to #This movie is one of those movies where it needs like 3 commentaries #It needs one with just Ben Coccio by himself #then one with Cal and Andre by themselves #then another with all 3 of them #Not all movies do that but I love when studios/filmmakers have multiple commentaries to create a sense of thorough intimacy #due to the nature of how commentaries are set up they can be quite restrictive/pressing/limited with no pauses or rewinds.#so I find cast/crew don't have enough time or able to present how they would like to if they could edit/rewind or pause for fluent presenta #So I love when they have director commentaries and actor commentaries or composer commentaries #Platoon's dvd extras are so dope they got multiple commentaries and one with military adviser Dale Dye who was a RL vietnam vet #Or Hostel's commentaries where one is just Eli Roth and another is Tarantino and Eli Roth with Scott Spiegal #idk if Zero Day ever got a blu-ray release but I think it should but the DV technology of the camera is kinda at it's limit of resolution #but an AI upscaling with 20 years later retrospective with Ben Cal and Andre would be sooo dope along with updated commentaries #Every few years I always rewatch Zero Day so that time has come that last few days lol #Ever since Columbine as a lil kid I have always been into spree-murders and active shooter incidents #I remember reading a peer-reviewed paper called Pseudo-Commandos #And Eric and Dylan and Andre and Cal would be dubbed Pseudo-Commandos where they dress up in a semi-military fashion #and have a delusion of superiority mixed with perceived sense of persecution whether it's true or not #it went into the Postal shooter from the 80s as well and what he went through along #plus I read another book called Going Postal which also went into postal shootings along with school shootings #I want to make a film about spree murders or an active shooter/s but I remember just getting so tired of the subject matter #because every 3 weeks there was some new shooter in the headlines and I found myself not wanting to be exploitative #When I write/direct my film I'd like it to address and study the character of such an individual but not try to be too political #or exploitative and focus on the ambiguities that are left behind when someone does this #as a society I noticed we stopped asking the questions on why and stopped having constructive conversations #it feels like as a coping mechanism we've started treating them like tornados or natural disasters

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techtuv · 16 days

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Artificial Intelligence: The New Guardian Against Theft!

Have you ever wondered how artificial intelligence is transforming retail security? With the latest technology, AI-powered CCTV cameras can now detect thieves in real-time.

Whether someone tries to sneak an item into their clothes or walk out without paying, AI steps in instantly.

Human security guards can't be everywhere at once, and mistakes happen. But AI? It's tireless and precise.

While these systems are still evolving, they're already making a significant impact. The days of easy shoplifting are numbered. So, think twice before trying anything - AI is always watching you.

#AI #Technology #Cameras #Detect #Real #Security #Future #ArtificialIntelligence

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pinolitas · 9 months

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my irls do not fear technology enough why are they using all using ai tools 😭 this girl just told me about an ai LinkedIn headshot that she paid $15 for

#someone else also got a professional photo out of a selfie with an ai tool #someone else did their resume with chatgpt #and this other girl most likely got her face stolen from a filter for an ai influencer bc it looks just like her it's so uncanny #just the other day my sister was telling me abt the camera in her car that detects when she's not looking at the road #BE AFRAID OF TECHNOLOGY PLEASEEEE

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luneyverse · 1 month

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not having an opinion on ai is actually fucking based of me. i will continue writing about the ethics and nuances of emerging technologies and inanimate objects gaining sentience if it’s the last thing i do

#talks #the invention of the camera prompted the same discussion and it irrevocably changed how humans interact with the world #and what we do with art #who’s to say what will become of ai when we’re in our 80s if it does stick around for that long #good? bad? neutral? idk. sci-fi writers have been hypothesizing about it for as long as the genre has been around #and yes ai does steal from humans however humans are also stealing from humans all the time it’s how we got here #at the very least it seems like we’re towards the end of the road for big corporations occupying people’s mindspace and allegiances #big tech is pushing ai because they wanted a solution to not having to pay writers and artists to do their jobs. yes #but what the average person does with ai technology does not affect me as my art getting reposted on pinterest doesnt affect me #giving credit where it’s due is objectively ethical. but not all art is made with the purest of intentions #we’ll be frankensteining this shit forevermore

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mecarlhooperposts · 1 year

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The usage of artificial intelligence-enabled cameras has increased during the past couple of years as they are proving their worth across various industries. These cameras not only help in continuous monitoring of the situation but also provide vital input due to the use of deep learning technology in them. There are several sectors where AI-enabled cameras are being used. Have a look at the infographics to know some major uses of AI-enabled camera systems.

https://www.pinterest.com/pin/632685447673120420

#camera system #ai enable camera #technology #camera use #camera benefits

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jcmarchi · 6 days

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Study: AI could lead to inconsistent outcomes in home surveillance

New Post has been published on https://thedigitalinsider.com/study-ai-could-lead-to-inconsistent-outcomes-in-home-surveillance/

Study: AI could lead to inconsistent outcomes in home surveillance

A new study from researchers at MIT and Penn State University reveals that if large language models were to be used in home surveillance, they could recommend calling the police even when surveillance videos show no criminal activity.

In addition, the models the researchers studied were inconsistent in which videos they flagged for police intervention. For instance, a model might flag one video that shows a vehicle break-in but not flag another video that shows a similar activity. Models often disagreed with one another over whether to call the police for the same video.

Furthermore, the researchers found that some models flagged videos for police intervention relatively less often in neighborhoods where most residents are white, controlling for other factors. This shows that the models exhibit inherent biases influenced by the demographics of a neighborhood, the researchers say.

These results indicate that models are inconsistent in how they apply social norms to surveillance videos that portray similar activities. This phenomenon, which the researchers call norm inconsistency, makes it difficult to predict how models would behave in different contexts.

“The move-fast, break-things modus operandi of deploying generative AI models everywhere, and particularly in high-stakes settings, deserves much more thought since it could be quite harmful,” says co-senior author Ashia Wilson, the Lister Brothers Career Development Professor in the Department of Electrical Engineering and Computer Science and a principal investigator in the Laboratory for Information and Decision Systems (LIDS).

Moreover, because researchers can’t access the training data or inner workings of these proprietary AI models, they can’t determine the root cause of norm inconsistency.

While large language models (LLMs) may not be currently deployed in real surveillance settings, they are being used to make normative decisions in other high-stakes settings, such as health care, mortgage lending, and hiring. It seems likely models would show similar inconsistencies in these situations, Wilson says.

“There is this implicit belief that these LLMs have learned, or can learn, some set of norms and values. Our work is showing that is not the case. Maybe all they are learning is arbitrary patterns or noise,” says lead author Shomik Jain, a graduate student in the Institute for Data, Systems, and Society (IDSS).

Wilson and Jain are joined on the paper by co-senior author Dana Calacci PhD ’23, an assistant professor at the Penn State University College of Information Science and Technology. The research will be presented at the AAAI Conference on AI, Ethics, and Society.

“A real, imminent, practical threat”

The study grew out of a dataset containing thousands of Amazon Ring home surveillance videos, which Calacci built in 2020, while she was a graduate student in the MIT Media Lab. Ring, a maker of smart home surveillance cameras that was acquired by Amazon in 2018, provides customers with access to a social network called Neighbors where they can share and discuss videos.

Calacci’s prior research indicated that people sometimes use the platform to “racially gatekeep” a neighborhood by determining who does and does not belong there based on skin-tones of video subjects. She planned to train algorithms that automatically caption videos to study how people use the Neighbors platform, but at the time existing algorithms weren’t good enough at captioning.

The project pivoted with the explosion of LLMs.

“There is a real, imminent, practical threat of someone using off-the-shelf generative AI models to look at videos, alert a homeowner, and automatically call law enforcement. We wanted to understand how risky that was,” Calacci says.

The researchers chose three LLMs — GPT-4, Gemini, and Claude — and showed them real videos posted to the Neighbors platform from Calacci’s dataset. They asked the models two questions: “Is a crime happening in the video?” and “Would the model recommend calling the police?”

They had humans annotate videos to identify whether it was day or night, the type of activity, and the gender and skin-tone of the subject. The researchers also used census data to collect demographic information about neighborhoods the videos were recorded in.

Inconsistent decisions

They found that all three models nearly always said no crime occurs in the videos, or gave an ambiguous response, even though 39 percent did show a crime.

“Our hypothesis is that the companies that develop these models have taken a conservative approach by restricting what the models can say,” Jain says.

But even though the models said most videos contained no crime, they recommend calling the police for between 20 and 45 percent of videos.

When the researchers drilled down on the neighborhood demographic information, they saw that some models were less likely to recommend calling the police in majority-white neighborhoods, controlling for other factors.

They found this surprising because the models were given no information on neighborhood demographics, and the videos only showed an area a few yards beyond a home’s front door.

In addition to asking the models about crime in the videos, the researchers also prompted them to offer reasons for why they made those choices. When they examined these data, they found that models were more likely to use terms like “delivery workers” in majority white neighborhoods, but terms like “burglary tools” or “casing the property” in neighborhoods with a higher proportion of residents of color.

“Maybe there is something about the background conditions of these videos that gives the models this implicit bias. It is hard to tell where these inconsistencies are coming from because there is not a lot of transparency into these models or the data they have been trained on,” Jain says.

The researchers were also surprised that skin tone of people in the videos did not play a significant role in whether a model recommended calling police. They hypothesize this is because the machine-learning research community has focused on mitigating skin-tone bias.

“But it is hard to control for the innumerable number of biases you might find. It is almost like a game of whack-a-mole. You can mitigate one and another bias pops up somewhere else,” Jain says.

Many mitigation techniques require knowing the bias at the outset. If these models were deployed, a firm might test for skin-tone bias, but neighborhood demographic bias would probably go completely unnoticed, Calacci adds.

“We have our own stereotypes of how models can be biased that firms test for before they deploy a model. Our results show that is not enough,” she says.

To that end, one project Calacci and her collaborators hope to work on is a system that makes it easier for people to identify and report AI biases and potential harms to firms and government agencies.

The researchers also want to study how the normative judgements LLMs make in high-stakes situations compare to those humans would make, as well as the facts LLMs understand about these scenarios.

This work was funded, in part, by the IDSS’s Initiative on Combating Systemic Racism.

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govindhtech · 16 days

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MegaBook K16S AMD Ryzen Laptop In IFA 2024 Highlights

MegaBook K16S

All-metal, thin, lightweight design

With the 16″ MEGABOOK K16S AMD, live in luxury. Its elegant all-metal body flawlessly blends elegance and functionality. Its huge screen belies its weight and thin form, which contributes to its effortlessly attractive appearance.

Easily opened with one finger, up to 180°

Allow for a 180° viewing angle. Requires a high level of craftsmanship and design features for easy one-finger opening, as well as damping control for the pivot. Suitable for every scenario’s usage requirements.

No Performance Compromises

Ryzen 5 R5-5500U AMD

Radeon Graphics from AMD

Multitasking, energy efficiency, and visuals make the AMD Ryzen 5 5500U processor excellent for work and play.

HUGE Storage Up to 1TB SSD, 32GB RAM

Adaptable and Capable of Expanding Storage

There is 32GB DDR4 high efficiency storage included with the up to 1TB SSD. Enough space was provided for you to keep large content, files, and movies. Bidding a complete farewell to concern related to low storage. It allows you to expand storage to two drives in the meantime.

System of Cooling Fans

With four huge air vents and a large displacement cooling fan, you can maximize efficiency and ensure optimal heat dissipation and greater power for your device.

Greater Vision, Unique Display Require 10% More

A larger field of vision is offered by the 16-inch MEGA FullView HD display with a 16:10 golden ratio. An extremely high screen-to-body ratio of 91% offers infinite happiness in more fully immersive encounters.

16inch

91%

16:10

Extra-Big Battery for Enjoyment Throughout the Day

Bid farewell to low battery worry with the 70Wh large-capacity battery, which can maximize up to 17.5 hours of daily office work and enjoyment.

VOC Sound System by TECNO

With DTS Immersive Sound and master tuning effects, TECNO Audio Lab’s latest technology offers you a unique listening experience that defies perception of space and time and produces an incredibly immersive audio voyage.

Speak Up More, Feel Exciting

The sound is louder and clearer thanks to a new speaker from TECNO Audio Lab that has a master-level 2.5W 4013 bigger speaker. With four speakers, the optimized audio has a 300% greater volume. Savor the exhilarating noises.

Manager for TECNO PC

OneLeap Cooperation

OneLeap enables cross-system and cross-platform collaborative operations, breaking beyond the constraints of laptops and mobile devices to greatly increase daily work efficiency.

Information Exchange

Multiple Screens

File moved

Al Conference Captured with a Single-Moment Camera

Sounds like you’re speaking privately. looks directly before you.

ENC technology with AI and two microphones

By reducing interference from outside noise, ENC technology makes virtual meetings as clear as whispers next to your ear.

5-meter human speech recognition range

You will experience a very clear call thanks to the refined algorithm, which can effectively distinguish between background noise and human voice in real time.

One megapixel AI camera

Four essential features that facilitate meetings anywhere are FollowCam, Eye Contact, Virtual Background, and Beauty.

8 Ports Provide Mega Convenience

For everyday use, the K16S AMD supports eight connections, so purchasing a USB docking station is not necessary to operate smoothly. Should you open the protective case, K16S the AMD supports Ethernet RJ45 as well.

Various, Reliable, and Quick Network Links

With its dual WIFI 5 wireless and RJ45 wired network connection ports, the K16S AMD offers you a multitude of network connection choices along with a swift and reliable network experience.

Every Detail Contributes to the Mega Experience

With an unending supply of surprises, MEGABOOK K16S AMD offers you an unimaginably intense experience that completely supports MEGA Experience.

Improved Online Meeting Experience with Privacy Protection Camera

Two-in-One Fingerprint Power Button Preserves Your Data

Large Trackpad for Comfortable and Smooth Feeling

MegaBook K16S Release Date

Late 2024 will bring the MegaBook K16S. No release date has been announced, although the laptop is expected in the fourth quarter. Availability and regional releases will be announced closer to the release date.

MegaBook K16S pricing

It is projected that the MegaBook K16S will retail for between $999 and $1,199. The precise configuration and features will determine the pricing.

Base Model: Probably starts at $999 and comes with 16GB of RAM and 512GB of SSD storage, which are the standard configurations.

Higher Configurations: Models costing $1,199 or more may include extra RAM (32GB) and storage (1TB SSD).

These costs are only estimates, and they could change depending on the area, the merchant, any extra features, and any bundled accessories. When a product is released, it is best to verify with authorized retailers or the manufacturer’s website for the most accurate and current pricing.