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[ B.14 (11/88) ] - Terms and symbols for information quantities in telecommunications

Terms and symbols for information quantities in telecommunications




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[ M.3362 (06/20) ] - Requirements for telecommunication anti-fraud management in the telecommunication management network

Requirements for telecommunication anti-fraud management in the telecommunication management network




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[ Y.3801 (04/20) ] - Functional requirements for quantum key distribution networks

Functional requirements for quantum key distribution networks




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[ Y.Sup70 (07/21) ] - ITU-T Y.3800-series - Quantum key distribution networks - Applications of machine learning

ITU-T Y.3800-series - Quantum key distribution networks - Applications of machine learning




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[ Y.3806 (09/21) ] - Quantum key distribution networks - Requirements for quality of service assurance

Quantum key distribution networks - Requirements for quality of service assurance




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[ Y.3805 (12/21) ] - Quantum Key Distribution Networks - Software Defined Networking Control

Quantum Key Distribution Networks - Software Defined Networking Control




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The case of Korea_the quantification of GHG reduction effects achieved by ICTs

The case of Korea_the quantification of GHG reduction effects achieved by ICTs




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Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant

Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant




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YSTR-DG.SEM - oneM2M-Developer Guide of Implementing semantics

YSTR-DG.SEM - oneM2M-Developer Guide of Implementing semantics




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Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant

Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant




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Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant

Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant




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Security considerations for quantum key distribution networks

Security considerations for quantum key distribution networks




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U4SSC - City Snapshot Santa Fe, Argentina

U4SSC - City Snapshot Santa Fe, Argentina




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U4SSC - Verification report, Santa Fe, Argentina

U4SSC - Verification report, Santa Fe, Argentina




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LSTP-GLSR Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant <font color="#FF0000">[Superseded]</font>

LSTP-GLSR Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant [Superseded]




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Security considerations for quantum key distribution networks - Corrigendum 1

Security considerations for quantum key distribution networks - Corrigendum 1




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QSTR-USSD - Low resource requirement, quantum resistant, encryption of USSD messages for use in financial services

QSTR-USSD - Low resource requirement, quantum resistant, encryption of USSD messages for use in financial services




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XSTR-HYB-QKD - Overview of hybrid approaches for key exchange with quantum key distribution

XSTR-HYB-QKD - Overview of hybrid approaches for key exchange with quantum key distribution




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U4SSC - Rapport de vérification - Canton de Genève, Suisse

U4SSC - Rapport de vérification - Canton de Genève, Suisse




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U4SSC - Aperçu de la situation - Canton de Genève, Suisse

U4SSC - Aperçu de la situation - Canton de Genève, Suisse




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LSTP-GLSR - Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant

LSTP-GLSR - Guide on the use of ITU-T L-series Recommendations related to optical technologies for outside plant




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TR.Reqts-SAN - Requirements of semantic-aware networking for future networks

TR.Reqts-SAN - Requirements of semantic-aware networking for future networks




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Y.TR-QN-UC - Use cases of quantum networks beyond QKDN

Y.TR-QN-UC - Use cases of quantum networks beyond QKDN




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TR.qs-dlt - Guidelines for quantum-safe distributed ledger technology systems

TR.qs-dlt - Guidelines for quantum-safe distributed ledger technology systems




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[ Z.100 Annex F3 (10/19) ] - Specification and Description Language - Overview of SDL-2010 - SDL-2010 formal definition: Dynamic semantics

Specification and Description Language - Overview of SDL-2010 - SDL-2010 formal definition: Dynamic semantics




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[ Z.100 Annex F2 (10/19) ] - Specification and Description Language - Overview of SDL-2010 - SDL-2010 formal definition: Static semantics

Specification and Description Language - Overview of SDL-2010 - SDL-2010 formal definition: Static semantics




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[ Z.100 Annex F3 (06/21) ] - Specification and Description Language - Overview of SDL-2010 - SDL formal definition: Dynamic semantics

Specification and Description Language - Overview of SDL-2010 - SDL formal definition: Dynamic semantics




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[ Z.100 Annex F2 (06/21) ] - Specification and Description Language - Overview of SDL-2010 - SDL formal definition: Static semantics

Specification and Description Language - Overview of SDL-2010 - SDL formal definition: Static semantics




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[ D.261 (10/16) ] - Regulatory principles for market definition and identification of operators with significant market power - SMP

Regulatory principles for market definition and identification of operators with significant market power - SMP




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TikTok users want to know who their favorite influencers voted for in the election

Influencers have played a big role in this election cycle. Hundreds of typically nonpolitical content creators have been using their platforms to endorse candidates on both sides of the political spectrum. Funnily enough, those who said nothing on election day actually ended up being the loudest. 

“Speaking as an influencer, a lot of your favorite influencers are fucking embarrassing,” said TikToker Kate Glavan. “To be a woman in America with a huge fucking platform and a huge audience and post nothing yesterday, just business as usual, ‘I’m going to my Pilates and I’m going to my brunch . . . ’ No one gives a fuck about your Amazon storefront or your fucking makeup routine.” 

@kateglavan

you have young women (not to mention so many other marginalized communities) looking up to you — and you chose to stay silent? i hope you reflect upon this.

♬ original sound – Kate Glavan

The comment section of her video is filled with people calling out the names of influencers who have been notably silent throughout the election. “Me finding out which influencers voted [Republican] cause they are the ones who are strangely silent and acting like its a regular day,” posted another TikTok user last week. 

@500daysofnatalie

“If an influencer wont talk about who they’re voting for its bcs it doesnt align with the audience that pays their bills” @Skye Dawn Leightner????

♬ My baby my baby – FrankOceanLover911

For influencers, posting who they voted for is a lose-lose situation. Pick a side and they risk alienating a large section of their audience. Stay silent and they risk alienating a large section of their audience. While it makes sense that followers want to know who their favorite influencer voted for, should we expect—or even want—political activism from people whose job involves posting their Sephora hauls and workout routines?

With apologies to Voltaire, with great virality comes great responsibility. Unlike media outlets, which are subject to regulation, there is little oversight of social media, meaning influencer posts can reach millions and have huge sway over their followings. During the 2024 election cycle we have seen influencers and internet personalities being paid on behalf of groups backing both Vice President Kamala Harris or former President Donald Trump to court their followers’ votes, cashing in on thousands—sometimes millions—for a single post. 

Social media influencers have more influence than they are often given credit for, according to research published in the journal Management Information Systems Quarterly. In fact, research by Pew shows that more than half of U.S. adults (54%) turn to social media for news at least some of the time, putting influencers in direct competition with traditional news outlets for audience attention. To stand out in this crowded space, influencers are incentivized to exaggerate their messages, often leading to polarized followers. If their audience ends up blindly following what they say instead of examining the candidate’s or party’s policies for themselves, it can result in diminished critical thinking in voters. 

Influencers are human and will have a political opinion whether they choose to share it or not. Being pressured into posting about politics can sometimes end up causing more harm than good. At the same time, choosing not to post anything at all during such a divisive election is a choice. So is following an account.




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Trump’s new EPA pick wants to make the U.S. the AI ‘capital of the world’

President-elect Donald Trump’s pick to lead the Environmental Protection Agency (EPA) plans to “pursue energy dominance” to “make the United States the artificial intelligence capital of the world,” he said in an interview with Fox News on Tuesday.

Trump announced Monday that he would nominate former New York Rep. Lee Zeldin to helm the nation’s top environmental agency, which regulates emissions, when he takes office in January. During Trump’s third presidential campaign, he spoke often of deregulating industries and ensuring environmental protections aren’t hampering businesses.

“[Zeldin] will ensure fair and swift deregulatory decisions that will be enacted in a way to unleash the power of American businesses, while at the same time maintaining the highest environmental standards,” Trump said on his social media platform, Truth Social, when announcing the appointment.

Trump’s last go-round in office had wide impacts on the environment. He picked a coal lobbyist to lead the EPA, rolled back more than 100 environmental protections, and exited the Paris climate accord.

It now appears that making sure AI and its energy-sucking data centers won’t be held back are top of mind for the incoming leader. Artificial intelligence is notorious for requiring massive compute to train systems. That, in turn, increases carbon emissions. Goldman Sachs Research estimated in May that data center power demand will grow 160% by 2030 as the AI revolution gathers steam and efficiency gains wane.

The Biden administration has also embraced artificial intelligence. The Department of Defense and Department of Homeland Security conducted AI pilots to address vulnerabilities in government networks, the Department of Justice and Department of Education worked to combat AI-generated image-based sexual abuse, and the administration issued a first-ever National Security Memorandum on AI “to ensure the United States leads the world’s development of safe, secure, and trustworthy AI.”




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Do you want to form an alliance with me? (Version 3.0)

“Do you…want to form an alliance…with me? “ It was January 3, 2010, that I first created a blog post of this title. It was initially inspired by a blog post that I came across on Problogger titled, “Let Me Show You Inside a Secret Blogging Alliance.” Of course, any time I heard the word...








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QuantumPay (QTP) represents an ambitious technological initiative that blends blockchain technology and artificial intelligence (AI) to create a secure, efficient, and transparent digital transaction - StreetInsider.com

QuantumPay (QTP) represents an ambitious technological initiative that blends blockchain technology and artificial intelligence (AI) to create a secure, efficient, and transparent digital transaction  StreetInsider.com












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Oil Giant BP is Killing 18 Hydrogen Projects, Chilling the Nascent Industry

An anonymous reader shares a report: Tucked inside a 32-page earnings report, oil and gas giant BP revealed it was killing 18 early-stage hydrogen projects, a move that could have a chilling effect on the nascent hydrogen industry. The decision, along with the sale of the company's U.S. on-shore wind power operations, will save BP $200 million annually and help boost its bottom line. The hydrogen industry, which has relied on oil and gas companies both financially and through lobbying efforts, is preparing for a grimmer outcome. BP has been a supporter of hydrogen. The company's venture capital arm has invested in several green hydrogen startups, including Electric Hydrogen and Advanced Ionics. Earlier this year, BP said it would develop "more than 10" hydrogen projects in the U.S., Europe, and Australia. Now, BP is scaling back those plans, saying it'll develop between five and ten projects. The company is keeping quiet about which ones will receive the green light.

Read more of this story at Slashdot.




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Can AI-Enabled Thermostats Create a 'Virtual Power Plant' in Texas?

Renew Home says they're building a "virtual power plant" in Texas by "enabling homes to easily reduce and shift the timing of energy use." Thursday they announced a 10-year project distributing hundreds of thousands of smart thermostats to customers of Texas-based power utility NRG Energy, starting next spring. (Bloomberg calls them "AI-enabled thermostats that use Alphabet Inc.'s Google Cloud technology.") The ultimate goal? "Create a nearly 1-gigawatt, AI-powered virtual power plant" — equivalent to 1.9 million solar panels, enough to power about 200,000 homes during peak demand. One NRG executive touted the move as "cutting-edge, AI-driven solutions that will bolster grid resilience and contribute to a more sustainable future." [Residential virtual power plants] work by aggregating numerous, small-scale distributed energy resources like HVAC systems controlled by smart thermostats and home batteries and coordinating them to balance supply and demand... NRG, in partnership with Renew Home, plans to offer Vivint and Nest smart thermostats, including professional installation, at no cost to eligible customers across NRG's retail electricity providers and plans. These advanced thermostats make subtle automatic HVAC adjustments to help customers shift their energy use to times when electricity is less constrained, less expensive, and cleaner... Over time, the parties expect to add devices like batteries and electric vehicles to the virtual power plant, expanding energy savings opportunities for customers... Through the use of Google Cloud's data, analytics, and AI technology, NRG will be able to do things like better predict weather conditions, forecast wind and solar generation output, and create predictive pricing models, allowing for more efficient production and ultimately ensuring the home energy experience is seamless for customers. Google Cloud will also offer "its AI and machine learning to determine the best time to cool or heat homes," reports Bloomberg, "based on a household's energy usage patterns and ambient temperatures." It was less than a year ago that Renew Home was formed when Google spun off the load-shifting service for its "Google Nest" thermostats, which merged with load-shift management startup OhmConnect. Bloomberg describes this week's announcement as "Three of the biggest names in US home energy automation... coming together to offer some relief to the beleaguered Texas electrical grid." But they point out that 1 gigawatt is roughly 1% of the record summer demand seen in Texas this year. Still, "The entire industry has been built to serve the peak load on the hottest day of the year," said Rasesh Patel, president of NRG's consumer unit. "This allows us to be a lot more smarter about demand in shaving the peak."

Read more of this story at Slashdot.






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A Walk in Roofing Contractors' Shoes: Red Wing Shoe Company Plant 1 Blends History and New TPO Roofing System

Look around a jobsite, and you’ll likely see many crew members wearing Red Wing boots.