#ai in israel

[mysharona1987]

They have turned the Palestinians into actual Guinea pigs for the military industrial complex.

We will see the robots and miserable remote controlled dogs at the next big BLM protest on American soil soon enough.

[predicting-energy-consumption]

Predicting Energy Consumption Using Machine Learning in Israel

Machine learning, a subset of artificial intelligence, has revolutionized various industries by enabling advanced data analysis and prediction capabilities. One sector that greatly benefits from this technology is energy consumption forecasting. In Israel, where energy efficiency and sustainability are paramount, machine learning is playing a significant role in predicting and managing energy consumption. This article explores how machine learning is transforming the energy landscape in Israel, empowering decision-makers, and fostering a sustainable future.

Individual Energy Consumption Optimization

At the individual level, machine learning algorithms can analyze household data such as weather conditions, occupancy patterns, and appliance usage to predict energy consumption accurately. This information can be used to optimize energy usage, minimize wastage, and reduce electricity bills. By implementing smart meters and IoT devices, Israeli households can gather real-time data, which is then fed into machine learning models to provide personalized energy consumption forecasts and recommendations.

Planning for Energy Demand at a Larger Scale

On a larger scale, machine learning algorithms are being utilized to predict energy consumption trends for cities, regions, and even the entire country. These models take into account factors such as population growth, economic indicators, weather patterns, and infrastructure development to forecast energy demands accurately. This enables energy companies and policymakers to plan ahead, ensure grid stability, and make strategic investments in renewable energy sources.

Load Forecasting for Grid Stability

Furthermore, machine learning algorithms can aid in load forecasting, which is crucial for balancing energy supply and demand. By accurately predicting peak loads and consumption patterns, power grid operators can optimize electricity generation and distribution, thereby reducing the risk of blackouts and improving overall grid efficiency. This is particularly important for Israel, where demand for electricity fluctuates due to factors like weather conditions and religious holidays.

Integrating Renewable Energy Sources

Another significant application of machine learning in energy consumption prediction is in the field of renewable energy integration. Israel has been actively investing in solar and wind energy projects to reduce its dependency on fossil fuels. Machine learning models can analyze solar radiation, wind patterns, and historical production data to predict renewable energy generation accurately. This information helps in effective integration of renewables into the existing energy infrastructure, ensuring a smooth and reliable transition to a cleaner energy mix.

Ensuring a Greener Future

In conclusion, machine learning is revolutionizing energy consumption prediction in Israel. By harnessing the power of data analysis and predictive algorithms, decision-makers can optimize energy usage, plan for the future, and promote sustainability. Whether it's at the individual household level or on a national scale, machine learning enables accurate forecasting, load management, and integration of renewable energy sources. As Israel continues to lead in innovation and sustainability, machine learning will remain a vital tool in shaping the country's energy landscape and ensuring a greener future.

As technology continues to advance and more data becomes available, machine learning algorithms will become even more sophisticated, leading to improved energy consumption predictions and increased efficiency in energy management. By embracing these advancements, Israel can continue to set an example for other nations in adopting sustainable practices and achieving energy security.

[heritageposts]

[...] During the early stages of the war, the army gave sweeping approval for officers to adopt Lavender’s kill lists, with no requirement to thoroughly check why the machine made those choices or to examine the raw intelligence data on which they were based. One source stated that human personnel often served only as a “rubber stamp” for the machine’s decisions, adding that, normally, they would personally devote only about “20 seconds” to each target before authorizing a bombing — just to make sure the Lavender-marked target is male. This was despite knowing that the system makes what are regarded as “errors” in approximately 10 percent of cases, and is known to occasionally mark individuals who have merely a loose connection to militant groups, or no connection at all. Moreover, the Israeli army systematically attacked the targeted individuals while they were in their homes — usually at night while their whole families were present — rather than during the course of military activity. According to the sources, this was because, from what they regarded as an intelligence standpoint, it was easier to locate the individuals in their private houses. Additional automated systems, including one called “Where’s Daddy?” also revealed here for the first time, were used specifically to track the targeted individuals and carry out bombings when they had entered their family’s residences.

In case you didn't catch that: the IOF made an automated system that intentionally marks entire families as targets for bombings, and then they called it "Where's Daddy."

Like what is there even to say anymore? It's so depraved you almost think you have to be misreading it...

“We were not interested in killing [Hamas] operatives only when they were in a military building or engaged in a military activity,” A., an intelligence officer, told +972 and Local Call. “On the contrary, the IDF bombed them in homes without hesitation, as a first option. It’s much easier to bomb a family’s home. The system is built to look for them in these situations.” The Lavender machine joins another AI system, “The Gospel,” about which information was revealed in a previous investigation by +972 and Local Call in November 2023, as well as in the Israeli military’s own publications. A fundamental difference between the two systems is in the definition of the target: whereas The Gospel marks buildings and structures that the army claims militants operate from, Lavender marks people — and puts them on a kill list.  In addition, according to the sources, when it came to targeting alleged junior militants marked by Lavender, the army preferred to only use unguided missiles, commonly known as “dumb” bombs (in contrast to “smart” precision bombs), which can destroy entire buildings on top of their occupants and cause significant casualties. “You don’t want to waste expensive bombs on unimportant people — it’s very expensive for the country and there’s a shortage [of those bombs],” said C., one of the intelligence officers. Another source said that they had personally authorized the bombing of “hundreds” of private homes of alleged junior operatives marked by Lavender, with many of these attacks killing civilians and entire families as “collateral damage.” In an unprecedented move, according to two of the sources, the army also decided during the first weeks of the war that, for every junior Hamas operative that Lavender marked, it was permissible to kill up to 15 or 20 civilians; in the past, the military did not authorize any “collateral damage” during assassinations of low-ranking militants. The sources added that, in the event that the target was a senior Hamas official with the rank of battalion or brigade commander, the army on several occasions authorized the killing of more than 100 civilians in the assassination of a single commander.

. . . continues on +972 Magazine (3 Apr 2024)

[rhinexstone]

I’ve been seeing more posts regarding this lately, but don’t use AI for Palestinian content. Don’t reblog or spread it either. There are far too many similar, very real, very horrific photos you can use from the Palestinian people right now.

Israel has AI in everything, even ads, because they can’t get people to partake in the propaganda they intend to spread. That isn’t the case for Palestinians. The only narrative that should be spread is what is actually happening. The names and faces and lives of those actually hurt. Not artificially procured works of “art”.

[aspiringwarriorlibrarian]

"But Hamas is using the civilians as human shields!" They've been doing that for nearly 20 years now. The solution is to plan around that, not just shrug and plow right through because it's easier to fire a missile and write it off as a "tragic accident" than it is to give a damn about the people trapped in the crossfire.

[eretzyisrael]

jewishuncensored

Fake AI Propaganda Used to Garner support for #Palestinians and Paint Israel as Evil

[motherofplatypus]

Using AI to kill more people

This post has been compiled in Record of Genocide.

[nando161mando]

"No Tech for Apartheid’s protest is as much about what the public doesn’t know about Project Nimbus as what it does. The contract is for Google and Amazon to provide AI and cloud computing services to the Israeli government and military, according to the Israeli finance ministry, which announced the deal in 2021.

Nimbus reportedly involves Google establishing a secure instance of Google Cloud on Israeli soil, which would allow the Israeli government to perform large-scale data analysis, AI training, database hosting, and other forms of powerful computing using Google’s technology, with little oversight by the company.

Google documents, first reported by the Intercept in 2022, suggest that the Google services on offer to Israel via its Cloud have capabilities such as AI-enabled facial detection, automated image categorization, and object tracking."

[mysharona1987]

Oh, camera phones definitely fucked things up for a lot of rich, powerful people.

[news4dzhozhar]

[bfpnola]

[beautylovin2]

Sahar (means Dawn) from Beirut

Art: BannedNaturality

[justsomeunsurefancat]

Israel made an obscenely offensive propaganda video that Hulu, which is owned by Disney, chose to run.

[xixovart]

‏Hello my friends, I am Nada from Gaza🍉♥️. I studied law for 4 years and applied to practice for 2 years. There was a week left for the exam and then the war came. The effort of 7 years was wasted. My husband had an accessories store and unfortunately it was destroyed. I had a very beautiful house. I lost everything because of the war and you can see that through the pictures. I am now homeless. I live in a tent. We have no income. My only hope is your support to get out of this situation. My family and I have children who need a future and a clean environment. You are the only hope. Support me through the link in my CV. Even 10 or 20 dollars would make a difference in my life and my family’s. You are the reason for rebuilding my life. Thank you for your humanity. https://gofund.me/ 🍉🍉🍉

it doesn’t take a superhero from a movie to save a life. just a little humanity

[jamesusilljournal]

I find it impossible to remain sober and awake in a world filled with suffering, especially knowing that innocent children are facing such cruelty. This drives my need for distractions and creates a sense of detachment, as if I’m living in a separate reality. I am helpless, @tuukzs, 2023

[lesbiancarat]

want to give my two cents on the AI usage in the maestro trailer--

i think seventeen doing a whole concept that is anti-AI is very cool, especially as creatives themselves i think it's good that they're speaking up against it and i hope it gets more ppl talking about the issue. i also understand on a surface level the artistic choice (whether it was made by the members, the mv director, or whoever else), to directly use AI in contrast to real, human-made visuals and music in order to criticize it. i also appreciate that they clearly stated the intention of the use of AI at the beginning of the video

however, although i understand it to an extent, i do not agree with the choice to use AI to critique AI. one of the main ethical concerns with generative AI is that it is trained on other artists' work without their knowledge, consent, or compensation. and even when AI generated images are being used to critique AI, it still does not negate this particular ethical concern

the use of AI to critique also does not negate the fact that this is work that could have been done by an actual artist. i have seen some people argue that it's okay in this context because it's a critique specifically about AI, and it is content that never would have been done by a real artist anyway because it doesn't make sense for the story they're trying to tell. but i disagree. i think you can still tell the exact same story without using AI

and in fact, i would argue that it would make the anti-AI message stronger if they HAD paid an artist to draw/animate the scenes that are supposed to represent AI generated images. wouldn't it just be proof that humans can create images that are just as bad and nonsensical and soulless as AI, but that AI can't replicate the creativity and beauty and basic fucking anatomy that's in human-made art?

it feels very obvious this was not just a way to cut corners and costs like a lot of scummy people are using AI for. ultimately it was a very intentional creative decision, i just personally think it was a very poor one. and even if some ethical considerations were taken into account before this decision, i certainly don't think all of them were. at the very least i feel like the decision undermines the message they want to convey

i would also like to recognize that i myself am not an artist, and i have seen some artists that are totally on board with the use of AI in this specific context, so clearly this is not a topic that is cut and dry. but generative AI is still new, and i think it's important to keep having these conversations