#ai optimisation solution

[rajgoodman]

AI for Sustainability: Transforming Green Business Innovation

Explore how AI is transforming sustainability with green innovation, eco-friendly practices, and business solutions for a better, greener future. Read more!

[optidan]

Online Retailers, how to avoid google search penalties 😔 You own your website, you need to own your content! 🔒 ✅

🚫 How to tell if your website has plagiarised content which Google penalises? 🚫

Plagiarised content can severely impact your online visibility due to Google's algorithms. But how can you tell if your content is duplicated?

👎1. Does your supplier provide your product descriptions? Chances are, they've given the same to competitors. Duplication alert! 🚨

👎2. Content taken from supplier/brand pages? That's a common source of duplication that Google's sharp eyes catch! 🔍

👎3. Lifted content from a competitor? Google rewards originality! The copycats get left behind. 📉

👎4. Scraped a website or bought a product feed from a 3rd party? High risk! Google penalise you for plagiarised content. ❌

Quick Test: 🧪 Paste a chunk of your product descriptions into Google. Spot similar content? That's a red flag right there 🚩

🚀🤖 There's a solution so your website is firing on all cylinders to get you the return you deserve! ✅

At OptiDan, our AI-powered solutions scan your site, detect plagiarised and underperforming content. With our rapid response tech 🚀 , we swiftly clean and optimise your content on Autopilot. Boost your online presence with high-quality, unique content, and supercharge your search engine performance. 🚀

Plagiarised content is just one of the problems we scan for on your website, so what are you waiting for, reach out today and we will do a content audit on your website, and let you know how we can fix it 🚀💼

You can click on the below article to do a deeper dive on how Plagiarised Content affects your website 👉 📖

[websyn]

How Sustainability Business Practices Powering Green Technology 

When we talk about sustainability, it is no longer just a buzzword—it's a driving force behind innovation and growth. As our businesses strive to reduce their environmental footprint, green technology is emerging as a powerful ally. We can invest in renewable energy sources like solar and wind and transform how we power our data centers, significantly offsetting energy consumption. But sustainability goes beyond clean energy; it's about optimizing operations and creating a brighter, more efficient future for our businesses and the planet. 

From adopting cloud computing to managing e-waste responsibly and training employees on eco-friendly practices, businesses are integrating sustainable strategies that benefit the planet and enhance efficiency and competitiveness. The future of green technology, particularly in optimizing energy consumption, lies in harnessing AI and IoT. These technologies can identify inefficiencies and automate energy management, offering eco-friendly services and solutions that are both innovative and sustainable. 

As companies embrace sustainability, the shift towards green technology reshapes the entire business ecosystem. Optimizing data centers—traditionally one of the largest energy consumers—is now a top priority. By leveraging cloud computing, businesses can drastically reduce their carbon footprint, improving energy efficiency while cutting costs. We can manage e-waste and ensure that equipment is recycled. 

Training employees in sustainable practices and fostering a culture of environmental responsibility throughout the organization is not just a task; it's a mission. This holistic approach to sustainability meets growing consumer demands for eco-consciousness and positions businesses toward a greener and more resilient future. Each of us has a crucial role in this transition, and together, we can make a significant impact. 

Sustainable Business Practices Helping Technology Go Green

1-Energy-Efficient Facilities  

Implementing energy-efficient facilities involves upgrading buildings with advanced insulation, smart lighting management, and smart energy management systems. This approach reduces energy consumption, lowers operational costs, and minimizes the overall carbon footprint, supporting long-term sustainability. 

2-Adopt the Cloud  

Cloud computing allows businesses to reduce energy usage by consolidating IT infrastructure. Cloud providers often use energy-efficient, renewable-powered data centers, enabling companies to streamline operations, enhance scalability, and contribute to global energy conservation. 

3-Embrace Green Computing Practices  

Green computing involves using energy-efficient hardware, optimizing software, and implementing power management strategies. By adopting these practices, businesses can lower energy consumption, reduce electronic waste, and maintain productivity while minimizing environmental impact. 

4-Establish Internal Equipment Recycling  

Internal equipment recycling programs ensure outdated technology is repurposed, donated, or recycled responsibly. Partnering with certified recyclers helps businesses reduce e-waste, safely dispose of hazardous materials, and demonstrate a commitment to sustainability. 

5-AI and IoT To Optimize Energy Consumption  

AI and IoT technologies are the future. They monitor and optimize energy usage in real-time. By identifying inefficiencies and automating energy management, businesses can reduce waste, enhance operational efficiency, and significantly lower their carbon footprint. The potential of these technologies is truly exciting and promising for a greener future. 

Why Web Synergies? 

As business environments move forward, the challenges of a rapidly changing world, embracing sustainable practices is not just an option—it's a necessity. Integrating green technology into every aspect of your operations can reduce environmental impact while enhancing efficiency and innovation. 

At Web Synergies, we understand the power of sustainability in driving long-term success. Our commitment to helping businesses adopt eco-friendly solutions, from optimizing data centers to leveraging AI and IoT, positions us as a trusted partner in your journey toward a greener future. We can create a more sustainable world where technology drives progress and protects the planet for future generations.  

[argumate]

glancing through another slew of papers on deep learning recently and it's giving me the funny feeling that maybe Yudkowsky was right?? I mean old Yudkowsky-- wait, young Yudkowsky, baby Yudkowsky, back before he realised he didn't know how to implement AI and came up with the necessity for Friendly AI as cope *cough*

back in the day there was vague talk from singularity enthusiasts about how computers would get smarter and that super intelligence would naturally lead to them being super ethical and moral, because the smarter you get the more virtuous you get, right? and that's obviously a complicated claim to make for humans, but there was the sense that as intelligence increases beyond human levels it will converge on meaningful moral enlightenment, which is a nice idea, so that led to impatience to make computers smarter ASAP.

the pessimistic counterpoint to that optimistic idea was to note that ethics and intelligence are in fact unrelated, that supervillains exist, and that AI could appear in the form of a relentless monster that seeks to optimise a goal that may be at odds with human flourishing, like a "paperclip maximiser" that only cares about achieving the greatest possible production of paperclips and will casually destroy humanity if that's what is required to achieve it, which is a terrifying idea, so that led to the urgent belief in the need for "Friendly AI" whose goals would be certifiably aligned with what we want.

obviously that didn't go anywhere because we don't know what we want! and even if we do know what we want we don't know how to specify it, and even if we know how to specify it we don't know how to constrain an algorithm to follow it, and even if we have the algorithm we don't have a secure hardware substrate to run it on, and so on, it's broken all the way down, all is lost etc.

but then some bright sparks invented LLMs and fed them everything humans have ever written until they could accurately imitate it and then constrained their output with reinforcement learning based on human feedback so they didn't imitate psychopaths or trolls and-- it mostly seems to work? they actually do a pretty good job of acting as oracles for human desire, like if you had an infinitely powerful but naive optimiser it could ask ChatGPT "would the humans like this outcome?" and get a pretty reliable answer, or at least ChatGPT can answer this question far better than most humans can (not a fair test as most humans are insane, but still).

even more encouragingly though, there do seem to be early signs that there could be a coherent kernel of human morality that is "simple" in the good sense: that it occupies a large volume of the search space such that if you train a network on enough data you are almost guaranteed to find it and arrive at a general solution, and not do the usual human thing of parroting a few stock answers but fail to generalise those into principles that get rigorously applied to every situation, for example:

the idea that AI would just pick up what we wanted it to do (or what our sufficiently smart alter egos would have wanted) sounded absurdly optimistic in the past, but perhaps that was naive: human cognition is "simple" in some sense, and much of the complexity is there to support um bad stuff; maybe it's really not a stretch to imagine that our phones can be more enlightened than we are, the only question is how badly are we going to react to the machines telling us to do better.

[howoodint]

Unlocking the Power of IoT Solutions in Hong Kong: Transforming Healthcare and Logistics

The rapid advancement of IoT solutions in Hong Kong is reshaping industries from healthcare to retail and logistics. Businesses leveraging healthcare IoT technology are improving patient outcomes through automated pharmacy systems and patient monitoring solutions that enable real-time health tracking and personalised care.

In the retail sector, smart retail innovation powered by RFID asset tracking is revolutionising inventory management and customer experience. Similarly, RFID jewellery tracking ensures security and authenticity in high-value assets, enhancing trust and operational efficiency.

Logistics management benefits immensely from supply chain optimisation using IoT devices and 5G IoT applications, which provide seamless connectivity and data flow across the entire supply chain. This integration supports smart hospital innovations and gerontech healthcare initiatives, driving Hong Kong’s digital transformation forward.

Moreover, security IoT solutions combined with AI data analytics in HK enable businesses to proactively detect threats and optimise operations through intelligent insights.

By embracing these technologies, companies in Hong Kong are positioning themselves at the forefront of innovation, delivering smarter, safer, and more efficient services.

[govindhtech]

Craig Gidney Quantum Leap: Reduced Qubits And More Reliable

A Google researcher reduces the quantum resources needed to hack RSA-2048.

Google Quantum AI researcher Craig Gidney discovered a way to factor 2048-bit RSA numbers, a key component of modern digital security, with far less quantum computer power. His latest research shows that fewer than one million noisy qubits could finish such a task in less than a week, compared to the former estimate of 20 million.

The Quantum Factoring Revolution by Craig Gidney

In 2019, Gidney and Martin Ekerå found that factoring a 2048-bit RSA integer would require a quantum computer with 20 million noisy qubits running for eight hours. The new method allows a runtime of less than a week and reduces qubit demand by 95%. This development is due to several major innovations:

To simplify modular arithmetic and reduce computing, approximate residue arithmetic uses Chevignard, Fouque, and Schrottenloher (2024) techniques.

Yoked Surface Codes: Gidney's 2023 research with Newman, Brooks, and Jones found that holding idle logical qubits maximises qubit utilisation.

Based on Craig Gidney, Shutty, and Jones (2024), this method minimises the resources needed for magic state distillation, a vital stage in quantum calculations.

These advancements improve Gidney's algorithm's efficiency without sacrificing accuracy, reducing Toffoli gate count by almost 100 times.

Cybersecurity Effects

Secure communications including private government conversations and internet banking use RSA-2048 encryption. The fact that quantum-resistant cryptography can be compromised with fewer quantum resources makes switching to such systems more essential.

There are no working quantum computers that can do this technique, but research predicts they may come soon. This possibility highlights the need for proactive cybersecurity infrastructure.

Expert Opinions

Quantum computing experts regard Craig Gidney's contribution as a turning point. We offer a method for factoring RSA-2048 with adjustable quantum resources to bridge theory and practice.

Experts advise not panicking immediately. Quantum technology is insufficient for such complex tasks, and engineering challenges remain. The report reminds cryptographers to speed up quantum-secure method development and adoption.

Improved Fault Tolerance

Craig Gidney's technique is innovative in its tolerance for faults and noise. This new approach can function with more realistic noise levels, unlike earlier models that required extremely low error rates, which quantum technology often cannot provide. This brings theoretical needs closer to what quantum processors could really achieve soon.

More Circuit Width and Depth

Gidney optimised quantum circuit width (qubits used simultaneously) and depth (quantum algorithm steps). The method balances hardware complexity and computing time, improving its scalability for future implementation.

Timeline for Security Transition

This discovery accelerates the inevitable transition to post-quantum cryptography (PQC) but does not threaten present encryption. Quantum computer-resistant PQC standards must be adopted by governments and organisations immediately.

Global Quantum Domination Competition

This development highlights the global quantum technological competition. The US, China, and EU, who invest heavily in quantum R&D, are under increased pressure to keep up with computing and cryptographic security.

In conclusion

Craig Gidney's invention challenges RSA-2048 encryption theory, advancing quantum computing. This study affects the cryptographic security landscape as the quantum era approaches and emphasises the need for quantum-resistant solutions immediately.

[ideasmachine]

What trends are shaping future mobility solutions?

The future of mobility is being shaped by several key trends, with a focus on sustainability, technological innovation, and data-driven solutions. Electric vehicles are becoming increasingly popular, accounting for nearly 16 per cent of global passenger car sales in 2023 and innovators are working on optimising battery systems and charging networks to facilitate their roll-out. However, the path to decarbonisation is less clear for heavy road freight, shipping, and aviation, indicating a need for disruptive innovation in these sectors.

Electric Vehicles: Electric vehicles are becoming well-established, accounting for nearly 16 per cent of global passenger car sales in 2023.

Battery Systems and Charging Networks: Innovators are focused on optimising battery systems and charging networks to facilitate the roll-out of electric vehicles.

Decarbonisation: The path to decarbonisation is less clear for heavy road freight, shipping, and aviation, with a need for disruptive innovation.

Autonomous Cars: Embodied AI is being integrated into vehicles to revolutionise the potential and safety of autonomous cars.

Data-Driven Solutions: AI-powered platforms are being used to turn mobility data into actionable insights, empowering cities to develop sustainable urban transportation solutions.

Tthe future of mobility is being shaped by a combination of technological innovation, data-driven solutions, and a push towards sustainability. As these trends continue to evolve, they are likely to have a significant impact on the way we travel and transport goods in the years to come.

[seoconsultantaustraliaa]

85% of Australian e-commerce content found to be plagiarised

Optidan Published a Report Recently

OptiDan, an Australia-based specialist in AI-driven SEO strategies & Solutions, has recently published a report offering fresh insights into the Australian e-commerce sector. It reveals a striking statistic about content across more than 780 online retailers: 85% of it is plagiarised. This raises severe questions about authenticity and quality in the e-commerce world, with possibly grave implications for both consumers and retailers.

 Coming from the founders of OptiDan, this report illuminates an issue that has largely fallen under the radar: content duplication. The report indicates that suppliers often supply identical product descriptions to several retailers, resulting in a sea of online stores harbouring the same content. This lack of uniqueness unfortunately leads to many sites being pushed down in search engine rankings, due to algorithms detecting the duplication. This results in retailers having to spend more on visibility through paid advertising to compensate.

Key Findings in Analysis

Key findings from OptiDan's research include a worrying lack of originality, with 86% of product pages not even meeting basic word count standards. Moreover, even among those that do feature sufficient word counts, Plagiarism is distressingly widespread. Notably, OptiDan's study presented clear evidence of the detrimental impacts of poor product content on consumer trust and return rates.

 Founder and former retailer JP Tucker notes, "Online retailers anticipate high product ranking by Google and expect sales without investing in necessary, quality content — an essential for both criteria." Research from 2016 by Shotfarm corroborates these findings, suggesting that 40% of customers return online purchases due to poor product content.

 Tucker's industry report reveals that Google usually accepts up to 10% of plagiarism to allow for the use of common terms. Nonetheless, OptiDan's study discovered that over 85% of audited product pages were above this limit. Further, over half of the product pages evidenced plagiarism levels of over 75%.

 "Whilst I knew the problem was there, the high levels produced in the Industry report surprised me," said Tucker, expressing the depth of the issue. He's also noted the manufactured absence of the product title in the product description, a crucial aspect of SEO, in 85% of their audited pages. "Just because it reads well, doesn't mean it indexes well."

 OptiDan has committed itself to transforming content performance for the online retail sector, aiming to make each brand's content work for them, instead of against them. Tucker guarantees the effectiveness of OptiDan's revolutionary approach: "We specialise in transforming E-commerce SEO content within the first month, paving the way for ongoing optimisation and reindexing performance."

 OptiDan has even put a money-back guarantee on its Full Content Optimisation Service for Shopify & Shopify Plus partners. This offer is expected to extend to non-Shopify customers soon. For now, all retailers can utilise a free website audit of their content through OptiDan.

Optidan – Top AI SEO Agency

Optidan is a Trusted AI SEO services Provider Company from Sydney, Australia. Our Services like - Bulk Content Creation SEO, Plagiarism Detection SEO, AI-based SEO, Machine Learning AI, Robotic SEO Automation, and Semantic SEO

We’re not just a service provider; we’re a partner, a collaborator, and a fellow traveller on this exciting digital journey. Together, let’s explore the limitless possibilities and redefine digital success.

Intrigued to learn more? Let’s connect! Schedule a demo call with us and discover how OptiDan can transform your digital performance.

Reference link – Here Click

[briskwinits]

An Interesting Article on Demand for AI Solutions

[april2920]

I'm not gonna say I don't take AI assistance from time to time. Though I do agree that completely relying on it for thinking for you, getting solutions to your problems or even writing a novel isn't the best idea. Optimising my piece of writing for making it look clean and neat is one thing whereas asking AI to write an original piece other. Maybe iterations can give you something plausible though not without consistent human feedback. Afterall AI is generating responses based on existing data and resources created by humans. Let's not forget that we're capable of creating so much more, unique and original. Imagination and creativity is a superpower we humans have and thus came AI into existence.

Okay. It's time for an AI rant.

My nephew is 13 years old. Whenever he writes a paper for school, I check it over and fix all of his mistakes for him. He said to me, "Maybe I'll proofread your paper for you in exchange," meaning one of the scholarly articles I write for work. I said, "Cool," and gave him the file. And he said, "Well, this is full of errors! See, you always say you have a lot to correct on my stuff, and look at all the stuff you got wrong!" And I said, surprised, "What? Where?" Because I'm sure there are typos in the draft I sent him, but not, like, that many.

And then he pointed to the screen and said, "Look at all the blue and red lines you have."

And I said, "Yeah, but those are wrong. Like, those are blue and red lines I'm ignoring because the computer is wrong." And then I paused and added, "You know you can't proofread a paper by just looking at the red and blue lines, right?" And he gave me the blankest look, because that clearly is EXACTLY what he thinks. And it became even clearer suddenly why, whenever I correct something on his paper, his immediate reaction is, "It didn't have a blue or red line."

There's a very good reason for that: THAT'S BECAUSE THE COMPUTER ISN'T SMART ENOUGH TO KNOW THAT IT WAS WRONG.

I am so tired of being sold the idea that computers are better than humans and so we should just outsource everything to them, which is clearly the lesson my nephew is absorbing in U.S. middle school. COMPUTERS ARE NOT BETTER THAN HUMANS. Like, maybe they are better at humans at crawling through rubble to find people trapped inside. They are also better at preserving things in a searchable format. Things like that. Very limited circumstances.

I don't want to sound alarmist but everything I hear about people using generative AI freaks me out. It's not just that I'm freaked out by people being like, "I use it to write novels!" (Although I don't see how they do, I have tried to have it write fiction for me and the output was truly terrible.) But I recognize my bias around creative writing and so no one needs to credit my views on artificial writing. But! Other things are alarming, too! "I use it to brainstorm x, y, or z." But...why? Why not just...use your own brain...to...brain...storm? The computer doesn't even have a brain to brainstorm with! And you might be like, "But it comes up with things that my brain would never think of!" So would other people! You could also brainstorm with other people! Or even through Google to see what other people have thought before you (not AI). Please don't belittle the wonder of thinking.

I just feel like the marketing around generative AI boils down to "Wouldn't it be easier not to use your own brain to think about things?" Everyone. No. It would not be. Please just trust me on this. I'm not just an old person who is out of touch with technology or something. I promise. USE YOUR BRAINS. IT WILL BE OKAY.

[jcmarchi]

Ericsson and AWS bet on AI to create self-healing networks

New Post has been published on https://thedigitalinsider.com/ericsson-and-aws-bet-on-ai-to-create-self-healing-networks/

Ericsson and AWS bet on AI to create self-healing networks

Ericsson’s Cognitive Network Solutions has joined forces with AWS to develop AI technologies for self-healing mobile networks.

Behind every text message and video call lies a complex system that telecom companies spend billions maintaining. This partnership between Ericsson and AWS aims to make those networks not just smarter, but virtually self-sufficient.

Jean-Christophe Laneri, VP and Head of Cognitive Network Solutions at Ericsson, said: “This collaboration marks a pivotal milestone in network optimisation technology.

“AWS’ global infrastructure and AI, alongside Ericsson’s unique cross-domain telecom experience and insights, will assist communication service providers in adapting to changing business conditions with predictable costs and enhanced operational efficiency.”

When the internet stops working at home, the first port of call for most is the “off and on again” approach: replug connections and restart the router. If that fails, call customer service. Using agentic AI, this partnership aims to automate the identification of problems, test solutions, and fix issues before you even notice. However, rather than just a home connection, the aim is to use agentic AI to do this on the massive scale of telecom networks serving potentially millions of people.

Fabio Cerone, General Manager of the EMEA Telco Business Unit at AWS, explained: “By working together, AWS and Ericsson will help telecommunications providers automate complex operations, reduce costs, and deliver better experiences for their customers. We are delivering solutions that create business value today while building toward autonomous networks.”

The technology works through something called RAN automation applications, or “rApps” in industry speak. These are sophisticated tools that can learn to manage different aspects of a network. The breakthrough comes from how these tools can now work together using agentic AI to improve networks, similar to colleagues collaborating on a project.

While the technology is undeniably complex, the potential benefits for everyday mobile users are straightforward. Networks that can anticipate problems and heal themselves could mean fewer dropped calls, more consistent data speeds, and better coverage in challenging areas.

For instance, imagine you’re at a football match with 50,000 other fans all trying to use their phones. Today’s networks often buckle under such pressure. However, a smarter and more autonomous network might recognise the gathering crowd early, automatically redirect resources, and maintain service quality without requiring engineers to intervene.

While traditional networks follow precise programmed instructions, the new approach tells the network what outcome is desired – like “ensure video streaming works well in this area” – and the AI figures out how to make that happen, adjusting to changing conditions in real-time.

While terms like “intent-based networks” and “autonomous management systems” might sound like science fiction, they represent a fundamental shift in how essential services are delivered. As 5G networks continue expanding and 6G looms on the horizon, the sheer complexity of managing these systems has outgrown traditional approaches.

Mobile operators are under tremendous pressure to improve service while reducing costs; seemingly contradictory goals. Autonomous networks offer a potential solution by allowing companies to do more with less human intervention.

As our dependence on reliable connectivity grows – supporting everything from remote healthcare to education and emerging technologies like autonomous vehicles – the stakes for network performance continue to rise. The partnership between these tech giants to create self-healing mobile networks signals recognition that AI isn’t just a buzzword but a necessary evolution for critical infrastructure.

See also: NVIDIA helps Germany lead Europe’s AI manufacturing race

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[websyn]

Optimizing Human Resources with Dynamics 365: The Key to Streamlined Workforce Management

In today’s competitive business environment, managing human resources effectively is more critical than ever. Dynamics 365 offers a transformative approach to workforce management by integrating advanced technologies with intuitive tools designed to enhance efficiency and drive employee engagement.

Why Dynamics 365 for HR Management?

Microsoft Dynamics 365 goes beyond conventional HR systems by merging automation, AI-driven insights, and seamless integrations. It empowers organisations to optimise recruitment, enhance employee experiences, and align workforce goals with broader business objectives.

Key benefits of implementing Dynamics 365 for HR include:

Unified HR Processes Dynamics 365 centralises all HR operations—recruitment, onboarding, payroll, and performance reviews—into a single platform. This unification eliminates silos, streamlines workflows, and enhances collaboration across departments.

AI-Powered Recruitment and Talent Acquisition By leveraging artificial intelligence, Dynamics 365 improves candidate screening, predicts role fitment, and speeds up hiring decisions. The system helps HR teams identify top talent faster, reducing time-to-hire while ensuring quality recruitment.

Enhanced Employee Engagement Personalised employee experiences are crucial for retention. Dynamics 365 offers self-service portals, training modules, and real-time feedback mechanisms, fostering a positive work environment and ensuring professional growth.

Data-Driven Decision-Making Advanced analytics within Dynamics 365 provide actionable insights into workforce trends, employee performance, and resource allocation. These insights enable leaders to make informed decisions that align with business goals.

Scalability and Integration Dynamics 365 seamlessly integrates with other Microsoft tools such as Teams, Power BI, and SharePoint, ensuring scalability and adaptability for businesses of all sizes.

How Dynamics 365 Addresses Workforce Challenges

Modern HR teams face challenges such as remote work management, diverse workforce needs, and regulatory compliance. Dynamics 365 provides:

Remote Work Enablement: Tools for virtual collaboration and performance tracking ensure productivity regardless of location.

Compliance Automation: Simplifies adherence to global HR regulations through automated updates and audits.

Customised Dashboards: Tailored insights help HR teams monitor KPIs, from employee satisfaction to productivity metrics.

Conclusion: Transforming HR with Dynamics 365

Adopting Dynamics 365 for human resource management is a strategic step towards building a resilient, motivated, and future-ready workforce. By streamlining HR operations, leveraging data-driven insights, and fostering a culture of engagement, businesses can unlock their full potential.

Invest in the power of Dynamics 365 today and redefine workforce management for the digital age.

[sammusbird]

From the first article: “In a paper due to be published later this year, Ren’s team estimates ChatGPT gulps up 500 milliliters of water (close to what’s in a 16-ounce water bottle) every time you ask it a series of between 5 to 50 prompts or questions. The range varies depending on where its servers are located and the season. The estimate includes indirect water usage that the companies don’t measure — such as to cool power plants that supply the data centers with electricity.” It’s also more worried about what AI can do (for example, in Microsoft’s 2019 partnering with Exxonmobile for finding fracting sites, and in serving fast fashion ads to those most likely to be convinced to buy) than the tech’s own affect on the environment.

The second article goes further along that point, encouraging more environmental awareness in the AI industry, specifically that “avoiding climate harm … should be part of the value system”. The thing that stood out to me most here was that the training of smaller models is less energy-consuming. I cannot find the arxiv article now (https://arxiv.org/list/cs.AI/recent shows today’s published articles in AI), but we have found that small LLMs working together have similar processing power to large LLMs like Chat GPT. It is possible to optimise for minimum environmental harm.

The third article I very very strongly recommend reading in full. In trying to find the best parts I nearly copy/pasted the whole thing! There’s numbers on AI’s electricity usage (worrying) and water usage (also worrying). But it’s always better to know.

I’m going to add an article here which I felt really addressed the specific environmental impact of the water being removed. Interestingly, it finds “The growth of ChatGPT and similar AI models has been hailed as “the new Google.” But while a single Google search requires half a millilitre of water in energy, ChatGPT consumes 500 millilitres of water for every five to 50 prompts.”. One of the first two articles mentioned databases as using around 1% of the Earth’s energy, and I was beginning to get skittish about search engines! Thankfully, they seem fine. However, (this article is the first I’ve seen to bring this up) the water pollution caused by mining to get the materials for computer chips is having a serious effect. Have you ever seen a creek downstream of a heavy metals mine?

https://theconversation.com/ais-excessive-water-consumption-threatens-to-drown-out-its-environmental-contributions-225854

When it comes to “just chat prompts have the energy requirement of a small country” from the tweets, one of the articles mentioned Chat GPT being estimated to use as much as Ukraine and the Netherlands? Our knowledge of its electricity usage is vague, so I’m not sure how reliable that factoid is, similar to when the article I’m linking below says AI could use 4-6 times the amount of water as Denmark in 2027. That is a difficult prediction to verify.

However, this article also answered a burning question for me. Why don’t AI computers just reuse the same water for cooling? Answer: It evaporates. Hm.

https://www.newsweek.com/why-ai-so-thirsty-data-centers-use-massive-amounts-water-1882374

[weirdlyvirtualumbra]

Smart Greenhouse Market Growth, Opportunities and Outlook 2034

A smart greenhouse is a type of greenhouse that grows crops without the need for human intervention. In a smart greenhouse, crops grow without climate adjustment or human intervention for a specific length of time. Microprocessors and sensors are used in smart greenhouses to control the watering and temperature. The primary goal of smart greenhouses is to increase farmers' productivity and create better farming results.

According to SPER market research, ‘Global Smart Greenhouse Market Size- By Type, By Technology, By Components, By End-User, By Application - Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global Smart Greenhouse Market is predicted to reach 5.83 billion by 2034 with a CAGR of 10.23%.

Drivers:

The use of the Internet of Things (IoT) and AI-powered automation is a major growth driver in the smart greenhouse industry, allowing for real-time monitoring and management of critical elements including as temperature, humidity, and soil moisture. IoT sensors collect data, which AI algorithms use to optimise water usage, nutrient delivery, and lighting conditions, resulting in higher crop yields while decreasing waste. Automated temperature control systems increase efficiency by modifying conditions using predictive analytics. This technological integration enables farmers to increase productivity, sustainability, and cost savings, boosting global demand for smart greenhouse solutions as agriculture transitions towards data-driven precision agricultural practices.

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

Restraints:

The initial cost of building a smart greenhouse with cutting-edge technologies like automated systems and IoT sensors is prohibitively expensive, prohibiting small-scale farmers and newcomers from adopting this revolutionary agricultural method.

Operating a smart greenhouse requires a certain level of technical understanding as well as ongoing learning. Farmers must be trained to deal with complicated systems, which is difficult in locations with limited access to education and technological resources.

In 2024, North America held the highest share of the global smart greenhouse market. The growing use of advanced agricultural technologies in North America is expected to boost this market. Factors include strong technology infrastructure, climate challenges, and a demand for year-round, local produce. Increased awareness of efficient solutions and government support for sustainable farming are also driving the market. North America is shifting toward smart greenhouse technologies to enhance agricultural productivity and quality, focusing on precision agriculture. Some of the key market players are Argus Control Systems Ltd, Certhon, GreenTech Agro LLC, Netafim Ltd, Nexus Corporation, and others.

For More Information, refer to below link: –   

Smart Greenhouse Market Growth

  Related Reports:  

Hydroponics Market Growth, Size, Trends Analysis - By Type, By Crop Type, By Crop Area - Regional Outlook, Competitive Strategies and Segment Forecast to 2034

Gibberellins Market Size- By Type, By Crop Type, By Application - Regional Outlook, Competitive Strategies and Segment Forecast to 2034

Follow Us –  

LinkedIn | Instagram | Facebook | Twitter  

Contact Us:  

Sara Lopes, Business Consultant — USA  

SPER Market Research  

enquiries@sperresearch.com  

+1–347–460–2899 

[govindhtech]

Dimensity 7300 : Unbelievable Speed and Power Unleashed

MediaTek launched the 4nm Dimensity 7300 and Dimensity 7300X high-end mobile device processors today. Best-in-class power economy and performance make Dimensity 7300 chipsets ideal for AI-enhanced computing, faster gaming, better photography, and effortless multitasking. Dimensity 7300X supports twin displays for flip-style foldable devices.

Both MediaTek Dimensity 7300 chipsets have 2.5GHz octa-core CPUs with 4X Arm Cortex-A78 and A55 cores. 4nm reduces A78 core power consumption by 25% over Dimensity 7050. To speed up gaming, the CPU combines the most recent Arm Mali-G615 GPU with a number of MediaTek HyperEngine optimisations. The Dimensity 7300 series provides 20% quicker FPS and 20% more energy efficiency than competing options. The new chips optimise 5G and Wi-Fi game connections, use clever resource optimisation, support Dual-Link True Wireless Stereo Audio and Bluetooth LE Audio technology to significantly improve gaming experiences.

According to MediaTek’s Wireless Communications Business Deputy General Manager Dr. According to Yenchi Lee, “The MediaTek Dimensity 7300 chips will help integrate the newest AI and connectivity technologies consumers can stream and game seamlessly. “Furthermore, the dual display capability of the Dimensity 7300X allows OEMs to create creative new form factors.”

With compatibility for a 200MP primary camera and a premium-grade 12-bit HDR-ISP, the MediaTek Imagiq 950 is another enhanced photographic feature available with the Dimensity 7300 chipsets. New hardware engines provide accurate noise reduction (MCNR), face detection (HWFD), and video HDR in the Dimensity 7300. This allows users to take beautiful pictures and videos in any kind of lighting. Compared to the Dimensity 7050, live focus and photo remastering are 1.3X and 1.5X faster, respectively. In addition, 4K HDR video may be recorded with a dynamic range that is more than 50% broader than competing solutions, allowing users to capture more detail in their recordings.

The MediaTek APU 655 doubles the performance of the Dimensity 7050 while also greatly increasing the efficiency of AI tasks. Also, in order to reduce memory requirements for larger AI models and more effectively use memory bandwidth, the Dimensity 7300 chips support new mixed precision data types.

The Dimensity 7300 SoCs enable global HDR standards and remarkably detailed WFHD+ displays with 10-bit true colour thanks to MediaTek’s built-in MiraVision 955. This improves media streaming and playing. Additionally, OEMs find it simpler to satisfy the expanding market demand for cutting-edge form factors thanks to the Dimensity 7300X’s specialised support for dual display flip phones.

Dimensity 7300 and Dimensity 7300X important features

With MediaTek’s own optimisations and a full suite of R16 power-saving advancements, MediaTek 5G UltraSave 3.0+ technology offers 13–30% more power efficiency than competing options in typical 5G sub-6GHz connectivity settings.

Supporting 3CC carrier aggregation up to 3.27Gb/s 5G downstream speed, which enables better downlink rates in suburban and urban settings.

Support for multi-band Wi-Fi 6E allows for dependable and quick multi-gigabit wireless access.

Users will have more options with dual 5G SIM capability and dual VoNR.

This was addressed by MediaTek’s Dimensity 7300 series in May 2024. The Dimensity 7300 and 7300X chipset series boosts high-end to smartphone and foldable device performance, energy efficiency, and AI.

Constructed for Rapidity and Effectiveness

A powerful octa-core CPU powers the Dimensity 7300. This combo is ideal for gaming and multitasking with four 2.5 GHz Arm Cortex-A78 cores. Four Arm Cortex-A55 cores, which are energy-efficient, complement these and guarantee dependable performance for daily use. In comparison to the Dimensity 7050, this combination represents a major advancement.

The advanced 4nm manufacturing process is a feature of the 7300 series. This corresponds to a 25% decrease in power usage over the 6nm technique utilised in earlier generations. Users will benefit from longer battery life as a result, while manufacturers can create sleeker devices without compromising functionality.

Superpower in Graphics

Immersive mobile experiences require strong visuals. The Dimensity 7300 has an Arm Mali-G615 GPU to fix this. This graphics processor runs even the most demanding games smoothly, and MediaTek’s HyperEngine technology stabilises the network and efficiently manages resources. MediaTek says the 7300 series is appealing to mobile gamers due to its 20% higher frame rates (FPS) and energy economy.

AI Gains Strength

AI is increasingly changing the smartphone experience, enabling intelligent assistants, better photography, and facial recognition. The Dimensity 7300 uses the MediaTek APU 655, following this trend. This AI processing unit doubles the efficiency of the Dimensity 7050, resulting in a notable performance boost. New mixed precision data types, which enable more effective memory bandwidth utilisation and lower memory requirements for larger AI models, are also supported by the 7300 series. Future smartphones will be able to incorporate even more advanced AI features thanks to this.

Gorgeous Images

For a fascinating mobile experience, a stunning display is essential; a strong processor is only half the story. This demand is met by the Dimensity 7300 series, which supports powerful screens. With the ability to support WFHD+ resolutions at frame rates of up to 120 Hz, these chipsets guarantee fluid and visually spectacular images. For an even smoother user experience, the 7300 series also supports Full HD+ screens at an even higher refresh rate of 144Hz.

Concentrate on Take Pictures

Users now place a greater value on mobile photography, and the Dimensity 7300 series delivers. The chip has MediaTek’s Imagiq 950 image signal processor (ISP), which provides sophisticated photographic features. With the 12-bit HDR pipeline supported by this ISP, detailed information and brilliant colours may be captured. Furthermore, the Imagiq 950 enables features like video HDR, face detection, and precise noise reduction, guaranteeing beautiful images and movies in a range of lighting scenarios. The 7300 series stands out for its ability to enable dual simultaneous video capture, which allows for the development of more imaginative content.

A Set of Chips for Foldables

A 7300 variation called the Dimensity 7300X goes one step farther by being designed with foldable cellphones in mind. One essential component of these cutting-edge gadgets is dual display compatibility, which this chipset provides. Manufacturers may design foldable phones with seamless experiences on both the cover and main displays thanks to the 7300X.

Mobile’s Future

Mobile processing power has advanced significantly with the release of the Dimensity 7300 series. This chipset family, with its emphasis on efficiency, performance, AI capabilities, and support for cutting-edge technologies like foldable devices and high refresh rate screens, is positioned to have a significant impact on the direction of mobile technology. The Dimensity 7300 series offers makers a strong and adaptable foundation to develop next-generation smartphones that offer outstanding user experiences as smartphones continue to advance.

Read more on govindhtech.com