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Company renewable power contracts break annual report

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Company renewable power contracts break annual report


Company power consumers purchased 21.7 gigawatts of renewable power in 2024, an annual report that boosted additions to the U.S. electrical grid from such transactions to 100 gigawatts since 2014. That’s based on the Clear Power Patrons Affiliation’s 2024 Deal Tracker.

For context, 1 gigawatt of electrical energy can help 750,000 U.S. households for one yr. 

Simply shy of three % of all renewable era on the U.S. grid is attributable to some type of company transaction, based on CEBA. The evaluation considers publicly reported offers which can be a minimum of 20 megawatts in capability; a minimum of 235 corporations have introduced offers since 2014. 

Firms negotiate voluntary energy buy agreements and different kinds of contracts with utilities for clear power to allow them to use them to achieve renewable power objectives and declare greenhouse gasoline emissions reductions. This observe has grow to be extra standard over the previous 5 years.

Clean Energy Buyers Association Infographic

Key takeaways from CEBA’s newest evaluation:

  • The Solar guidelines: Solar energy accounted for the overwhelming majority of the 2024 purchases — 73 % — regardless of ongoing allowing and grid interconnection delays.
  • Nuclear surprises: Firms procured 1.5 gigawatts from nuclear services, about 6.7 % of whole (in contrast with 7.7 % for wind). Nuclear power wasn’t even talked about within the 2023 Deal Tracker abstract. Each Microsoft and Amazon have signed high-profile offers up to now 12 months.
  • Batteries bloom: There was a 300 % enhance in capability throughout 2024, accounting for 7.7 % of capability added.
  • Geothermal firsts: Google’s 115-megawatt contract with Fervo in Nevada made the record. It makes use of a brand new kind of tariff to insulate different clients from the price of investing in an rising know-how.
  • Curiosity continues to develop: 20 new corporations finalized a deal in 2024, fewer than the 28 in 2023 however nonetheless notable progress.
  • Half the contracted capability is operational: 54 gigawatts have been switched on.

What’s forward

Whereas the Trump administration’s insurance policies favor fossil fuels over renewable era, clear electrical energy capability continues to develop quickly together with general world power demand. The world’s power urge for food surged 2.2 % in 2024, sooner than the common demand progress of 1.3 % between 2013 and 2023.

Low-emissions era sources coated many of the capability will increase final yr, based on the Worldwide Power Company. Whole worldwide capability is now round 700 gigawatts. Nuclear energy capability reached its fifth highest degree up to now 5 a long time, IEA reported.

Tech corporations constructing out large information facilities for synthetic intelligence are on the middle of this controversial progress. Whereas CEBA’s report doesn’t disclose or focus on particular corporations, Amazon was the single-biggest company purchaser in 2024 — for the fifth yr in a row. 

The tech firm has invested in 600 tasks up to now, together with ones in states resembling Louisiana and Mississippi which have proportions of high-emitting fossil fuels as era sources. Within the latter state, tasks backed by Amazon account for twenty-four % of photo voltaic electrical energy on the grid.

ios – SwiftUI Views are shifting after being loaded (the peak is altering)

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ios – SwiftUI Views are shifting after being loaded (the peak is altering)


So I’m utilizing a swiftUI view inside UIKit utilizing UIHostingController . That is the code for that half

class ProductCardViewController: UIViewController {
  var purchaseResult: PurchaseResult = .failure

  override func viewAppearance() {
    tremendous.viewAppearance()
      let productCardVc: UIHostingController
    change purchaseResult {
    case .success:
       let productCardVc = UIHostingController(rootView: AnyView(ProductCardView()))
    case .failure:
        productCardVc = UIHostingController(rootView: AnyView(ProductPurchaseFailureView(navigationController: navigationController)))
    }
    setupHostingController(productCardVc)
  }

  personal func setupHostingController(_ hostingController: UIHostingController) {
    hostingController.view.bounds = view.bounds
    hostingController.view.backgroundColor = .clear
    hostingController.view.translatesAutoresizingMaskIntoConstraints = false
    view.addSubview(hostingController.view)

    NSLayoutConstraint.activate([
      hostingController.view.topAnchor.constraint(equalTo: view.topAnchor),
      hostingController.view.bottomAnchor.constraint(equalTo: view.bottomAnchor),
      hostingController.view.leadingAnchor.constraint(equalTo: view.leadingAnchor),
      hostingController.view.trailingAnchor.constraint(equalTo: view.trailingAnchor)
    ])
  }
  
}

However when my swiftUI View hundreds there’s a change in top of the geomatry of the view from top 852 to top 759. I do not know why that is taking place .

My SwiftUI view

import SwiftUI
import Lottie

struct ProductPurchaseFailureView: View {
    var navigationController: UINavigationController?
    var physique: some View {
        GeometryReader { geometry in
            ZStack() {
                Picture("random_image")
                    .resizable()
                    .opacity(0.3)
                    .blur(radius: 150)
                    .background(Colour.purchaseFailureBackground)
                    .ignoresSafeArea()
                
                ZStack {
                  Textual content("Scratch Card")
                    .font(.customized(FontConstants.therokBold.rawValue, measurement: 28))
                    .foregroundColor(.white)
                    .shadow(coloration: .black, radius: 2, x: 1, y: 2)
                  HStack {
                    Spacer()
                    Button {
                    } label: {
                      Picture(systemName: "xmark")
                        .resizable()
                        .foregroundColor(.tabbar)
                        .body(width: 12, top: 12)
                        .padding(14)
                        .background(
                          Circle()
                            .stroke(.tabbar)
                        )
                    }
                  }.padding(.horizontal)
                }
                .body(width:geometry.measurement.width, top: geometry.measurement.top, alignment: .high)

                VStack {
                    LottieView(animation: .named("exclamation_mark"))
                        .enjoying(loopMode: .loop)
                        .resizable()
                        .aspectRatio(contentMode: .match)
                        .body(width: 150)
                    VStack {
                        Textual content("We're unable to fetch your reward")
                            .font(.system(measurement: 18, weight: .daring))
                            .foregroundColor(.orange)
                            .padding(.backside)
                        Textual content("Please go to the Rewards Web page later to find your reward.")
                            .font(.system(measurement: 16))
                            .foregroundColor(.main)
                    }
                    .multilineTextAlignment(.middle)
                    .body(maxWidth: .infinity, alignment: .middle)
                    .padding()
                    Line()
                        .stroke(model: StrokeStyle(lineWidth: 1 ,sprint: [5]))
                        .body(width: geometry.measurement.width * 0.8 , top: 1)
                        .foregroundColor(.main)
                    Button {
                    } label: {
                        Textual content("Again")
                            .font(.headline)
                            .foregroundColor(.purchaseFailureCardBg)
                            .padding()
                            .body(maxWidth: .infinity)
                    }
                    .padding(.horizontal)
                    .padding(.high, 10)
                    .buttonStyle(ThreeDimensionalButtonStyle())
                    .body(width: geometry.measurement.width * 0.7, top: 50)
                }
                
                
                .body(width: geometry.measurement.width * 0.9,top: geometry.measurement.top * 0.55)
                .background(Colour.purchaseFailureCardBg)
                .cornerRadius(16)
                .shadow(radius: 10)
            }
            
        }
    }
}
struct Line: Form {
    func path(in rect: CGRect) -> Path {
        var path = Path()
        path.transfer(to: CGPoint(x: 0, y: 0))
        path.addLine(to: CGPoint (x: rect.width, y: 0))
        return path
    }
}
#Preview {
    ProductPurchaseFailureView()
}



struct ThreeDimensionalButtonStyle: ButtonStyle {
    func makeBody(configuration: Configuration) -> some View {
        let bgView = self.getBgView()
        if #out there(iOS 15.0, *) {
            configuration.label.foregroundStyle(Colour.white)
                .padding(16)
                .background {
                    ZStack {
                        bgView
                            .opacity(0.2)
                            .offset(y: configuration.isPressed ? 0:8)
                            .padding(.horizontal,2)
                        bgView
                    }
                }
                .rotation3DEffect(.levels(20), axis: (x: 1,y: 0,z:0))
                .offset(y: configuration.isPressed ? 8 : 0)
                .animation(.interactiveSpring(), worth: configuration.isPressed)
            
        } else {
            // Fallback on earlier variations
            configuration.label.foregroundColor(Colour.white)
                .padding(16)
                .background (
                    ZStack {
                        bgView
                            .opacity(0.2)
                            .offset(y: configuration.isPressed ? 0:8)
                            .padding(.horizontal,2)
                        bgView
                    }
                )
                .rotation3DEffect(.levels(20), axis: (x: 1,y: 0,z:0))
                .offset(y: configuration.isPressed ? 8 : 0) // 2
                .animation(.interactiveSpring(), worth: configuration.isPressed)
        }
        
        
        
    }
    func getBgView() -> some View {
        Colour.purchaseFailureButtonBackground
            .clipShape(RoundedRectangle(cornerRadius: 12))
            .body(top: 40)
    }
    
}

I do not perceive the place I’m doing mistaken. I’m very new to SwiftUI and have solely labored with UIKit . Please assist guys

Blacklock Ransomware Infrastructure Breached, Revealing Deliberate Assaults

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Blacklock Ransomware Infrastructure Breached, Revealing Deliberate Assaults


Resecurity, a outstanding cybersecurity agency, has efficiently exploited a vulnerability within the Information Leak Website (DLS) of Blacklock Ransomware, gaining unprecedented entry to the group’s infrastructure.

This breach, occurring in the course of the winter of 2024-2025, allowed researchers to gather substantial intelligence concerning the ransomware group’s actions and deliberate assaults.

Exploitation of Native File Embrace Vulnerability

The compromise was achieved by way of the exploitation of a Native File Embrace (LFI) vulnerability current within the DLS hosted on the TOR community.

This safety flaw enabled Resecurity’s analysts to accumulate crucial artifacts associated to the risk actors’ community infrastructure, together with logs, related file-sharing accounts, and timestamps of logins.

Uncovering Deliberate Assaults and Sufferer Information

Leveraging the gained entry, Resecurity was in a position to gather details about deliberate knowledge publications from victims as much as 13 days earlier than the risk actors meant to launch it.

In a single occasion, the agency alerted the Canadian Centre for Cyber Safety about an impending assault on a Canada-based sufferer almost two weeks earlier than the deliberate knowledge leak.

The breach additionally revealed the group’s use of MEGA, a well-liked file-sharing service, for storing and transferring stolen knowledge.

Researchers recognized no less than eight e-mail accounts related to MEGA folders managed by Blacklock Ransomware, offering perception into their knowledge exfiltration strategies.

Blacklock RansomwareBlacklock Ransomware
e-mail account registered

The investigation uncovered potential hyperlinks between Blacklock Ransomware and different cybercriminal teams.

Code similarities have been discovered between Blacklock and DragonForce ransomware, suggesting doable cooperation or a transition of possession.

This discovery highlights the dynamic nature of the ransomware ecosystem and the potential for market consolidation amongst cybercriminal teams.

The Blacklock Ransomware DLS was defaced and technically liquidated, with configuration information being publicly disclosed.

This occasion, together with the compromise of the associated Mamona ransomware venture, suggests a big disruption to the group’s operations and a possible shift within the ransomware panorama.

This breach of Blacklock Ransomware’s infrastructure supplies beneficial insights into the operations of ransomware teams and demonstrates the effectiveness of proactive cybersecurity measures in combating these threats.

Because the ransomware ecosystem continues to evolve, such intelligence-gathering efforts play a vital function in understanding and mitigating cyber dangers.

Are you from SOC/DFIR Groups? – Analyse Malware, Phishing Incidents & get stay Entry with ANY.RUN -> Begin Now for Free. 

How AI and Machine Studying Are Shaping Cybersecurity

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How AI and Machine Studying Are Shaping Cybersecurity


Cyberattacks have gotten extra superior and are occurring extra usually, with the price of cybercrime anticipated to succeed in $15.63 trillion by 2029. Older safety strategies simply can’t sustain with evolving threats, which is the place Synthetic Intelligence (AI) and Machine Studying (ML) are available in. Geared up with superior programs, these applied sciences can spot and stop threats earlier than they occur, resulting in smarter and quicker safety.

Companies are working tougher to guard themselves. For instance, the common spends on cybersecurity by Fortune 500 firms is roughly $20 million, which incorporates encryption and fraud detection instruments to guard buyer accounts.

The iGaming sector, as an example, invests closely in cybersecurity. On-line casinos provide gamers real-money video games, which require private particulars and monetary transactions. Naturally, gamers anticipate a safe and reliable expertise. As author Liliana Costache from Card Participant factors out, the perfect on-line casinos provide a authorized and protected gaming expertise with quick withdrawals and dependable cost choices, together with cryptocurrencies that present enhanced safety and privateness (Supply:https://www.cardplayer.com/online-casinos). With on-line playing rising in popularity, making certain security and transparency is now a high precedence for each gamers and operators.

How AI and Machine Studying Are Shaping Cybersecurity

The Evolution of Safety Testing

Cyberattacks are occurring extra usually and are getting extra superior. Ransomware, for instance, hackers lock up your knowledge and demand cost to unlock it. Older instruments like firewalls and antivirus applications can’t deal with at the moment’s threats, so smarter and extra adaptable safety options are wanted.

An enormous problem is human error. Easy errors, like organising a system incorrectly or lacking safety points, make it a lot simpler for risk actors to hack. In 2021, Fb skilled an enormous knowledge breach affecting 533 million customers, all due to a system misconfiguration.

Scalability is one other situation. It turns into tougher for firms to handle safety when the enterprise grows and expands its community and units, which is why stronger safety programs are wanted.

How AI and Machine Studying Are Altering Cybersecurity

AI and Machine Studying can rapidly scan huge quantities of information, spot uncommon exercise, and even predict potential assaults earlier than they occur. For instance, if somebody tries to log in from an uncommon location, AI can flag it and take motion immediately. In contrast to conventional strategies, which depend on predefined guidelines, AI and ML can adapt and study from new knowledge making it even higher at catching superior assaults over time.

AI and Machine Studying in Cybersecurity Instruments

AI and machine studying are defending programs from cyber threats and shaping cybersecurity utilizing a number of instruments:

Automated Risk Detection and Prediction

AI can monitor programs in real-time and detect uncommon actions, like unauthorized logins, and spot new safety threats, together with zero-day assaults and vulnerabilities that hackers exploit earlier than they’re found. By analyzing person conduct, AI can detect uncommon patterns which may sign a breach and reply immediately. IBM’s Watson for Cybersecurity analyzes huge quantities of information to establish dangers so firms can cut back response instances and decrease injury from cyberattacks.

Penetration Testing and Discovering Weak Spots

AI-powered instruments can check safety programs quicker and extra completely than people, being able to investigate previous assaults and system constructions to foretell the place hackers may strike subsequent. AI-driven penetration testing works by simulating cyberattacks to uncover vulnerabilities. Some startups, like Concord Intelligence, are even growing AI that acts like an moral hacker, continually trying to find weak spots earlier than actual attackers can discover them.

Behavioral Evaluation

ML algorithms examine person conduct to identify anomalies. For instance, if an worker out of the blue accesses delicate information at odd hours, the system can flag it as suspicious.

Fraud Prevention and Identification Safety

AI can spot scams, like phishing emails and deepfake movies, by analyzing communication patterns and flagging something suspicious earlier than it causes hurt. For example, to strengthen its AI-powered fraud detection, Mastercard just lately acquired Recorded Future making it even tougher for scammers to succeed.

Moreover, banks depend on AI to catch and cease fraudulent transactions in actual time. In 2023 alone, the FBI’s Web Crime Criticism Middle (IC3) obtained 21,489 complaints about enterprise e-mail compromise (BEC) scams, with reported losses exceeding $2.9 billion. AI can rapidly establish uncommon exercise like these and stop fraud, maintaining folks’s cash and identities protected.

AI in Cloud and IoT Safety

With the rise of cloud computing and Web of Issues (IoT) units like sensible cameras, new safety challenges have emerged, with many units having weak safety. This makes them enticing targets for cybercriminals. AI monitoring checks programs immediately, finds uncommon exercise or threats rapidly, and retains vital knowledge and units safe in a fast-changing digital world.

Challenges and Limitations of AI in Cybersecurity

Whereas AI affords many advantages, it additionally presents challenges:

  • False Positives/Negatives: AI programs might generally misidentify innocent actions as threats, overlooking precise threats and flagging innocent actions as threats.
  • AI’s Dependence on Knowledge and the Threat of Bias: AI programs study from the information they’re given, so if the information is incomplete or biased, the AI received’t work as properly, resulting in unfair choices, particularly when monitoring person conduct. If the coaching knowledge doesn’t characterize all customers correctly, the AI may mistakenly flag sure teams greater than others.
  • Enemy AI: Hackers can use AI to create extra subtle assaults, like deepfake movies and audio, creating an arms race in cybersecurity.

The Way forward for AI and ML in Cybersecurity

AI is altering how we maintain issues protected on-line. One is ‘explainable AI,’ which implies the AI can inform us why it thinks one thing is harmful so we are able to perceive the threats higher and make smarter selections about our safety. Additionally, quantum computer systems may make programs exceptionally protected however may additionally break present safety codes. Corporations would want to start out utilizing these new applied sciences and train groups use them correctly.

Conclusion

With AI and machine studying, there are new methods to combat cyberattacks, predicting and stopping threats quicker and higher than earlier than. Nevertheless, human supervision is vital to make sure AI and ML work properly and make accountable selections. Utilizing AI rigorously might be essential to maintaining us protected on-line as cyberattacks improve.

Highlight on Success: Celebrating the Winners of the U.S. Quick Future Innovation Awards

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Highlight on Success: Celebrating the Winners of the U.S. Quick Future Innovation Awards


From Silicon Valley to the bustling streets of New York, america is a powerhouse of innovation, pushed by a dynamic mix of groundbreaking analysis, entry to superior applied sciences, and an unwavering entrepreneurial spirit. At Cisco, we’re not simply observing this vibrant scene—we’re actively fueling it. Our Quick Future Innovation Awards (FFIA) are extra than simply accolades; they’re the lifeblood of a thriving ecosystem, empowering startups to remodel their visionary concepts into actuality throughout the nation.

Initially conceived in Canada and backed by the Nation Digital Acceleration (CDA) program, which has been pivotal in advancing digital initiatives throughout 50 international locations,these awards cater to a large spectrum of industries—from agriculture to sensible buildings and cybersecurity—emphasizing the transformative potential of synthetic intelligence this 12 months.

The awards goal to empower corporations which can be set to make a major constructive affect however require further assets to attain their full potential. In a panorama ripe with AI innovation, the U.S. FFIA invitations trailblazers to create options that not solely drive enterprise success but additionally tackle key financial, social, and environmental points. Whether or not your focus is schooling, sustainability, hybrid work, cybersecurity, healthcare, or essential infrastructure, your concepts could possibly be the catalyst for change in how we reside and work. 

 

Highlight on AI-Pushed Innovation 

This 12 months, we’re thrilled to acknowledge the transformative efforts of our FFIA winners, who’re main the cost in moral, people-first AI options that promise an inclusive and forward-thinking future. These trailblazing corporations—Radius AI, Autonoma Labs, and AI Progress Ops—are setting new requirements for AI implementation throughout the U.S. and globally, revolutionizing the best way we interact with expertise in retail shops, workplaces, and airports. 

 

Revolutionizing Retail with Visionary Know-how 

Ushering in a brand new period of modernization by way of human-centric and moral options, Radius AI is pioneering developments in retail with their Imaginative and prescient AI expertise. This cutting-edge strategy shouldn’t be solely decreasing losses and enhancing margins for retailers but additionally implementing methods to draw and retain a talented workforce, boosting productiveness, and driving digital transformation. By enhancing self-checkout processes, Imaginative and prescient AI minimizes theft and revenue loss, whereas concurrently elevating the client expertise with lowered wait occasions and streamlined transactions. The true-time information and analytics offered empower workers, considerably enhancing their satisfaction and productiveness, and setting a brand new customary for retail innovation. 

 

Navigating New Heights in Airport Effectivity 

Autonoma Labs is redefining airport effectivity and environmental affect by way of their progressive Autoverse undertaking. By leveraging Digital Twins, they create detailed simulations of high-traffic areas like terminals and runways, providing predictive modeling and AI-driven insights that rework airport administration. This forward-thinking strategy enhances passenger security and boosts operational effectivity, making certain journey turns into smoother and safer for everybody.

With Autoverse, Autonoma Labs is setting new requirements for airport innovation, paving the best way for a future the place expertise seamlessly enhances the journey expertise. 

 

Reworking Workplaces with Clever Productiveness 

Think about boosting office productiveness with progressive AI options that problem the norms of conventional undertaking administration instruments—that is the promise of AI Progress Ops. On the coronary heart of their strategy is Context-Conscious Process Help, a dynamic characteristic that learns out of your work habits and adapts to your wants, providing well timed breaks to advertise a wholesome work-life steadiness. By analyzing behavioral insights and integrating seamlessly with widespread platforms like Asana and Monday, AI Progress Ops delivers personalised sensible nudges that improve focus and effectivity. These tailor-made prompts cater to the various wants of all workers, together with those that are neurodivergent, fostering a extra inclusive, sustainable, and productive work surroundings. With AI Progress Ops, groups can expertise a transformative strategy to productiveness that aligns with fashionable office dynamics. 

 Collectively, these visionary corporations are redefining the way forward for AI, setting a brand new benchmark for innovation and human-centered expertise. Be part of us in celebrating their exceptional contributions as they cleared the path towards a brighter, extra environment friendly future. 

 

Celebrating our Previous Winners 

The spirit of innovation and collaboration is completely captured within the Quick Future Innovation Awards. For years, these awards have spotlighted trailblazers who redefine their industries, celebrating those that exhibit extraordinary ingenuity and set new benchmarks of their fields. Every year, we honor the achievements of previous winners who encourage us to proceed reaching for brand new heights in innovation. 

Previous winners like Honeywell have championed sustainability with sensible constructing options, whereas Morgan Photo voltaic has harnessed the facility of photo voltaic power to rework collaboration and assembly areas. These exemplary achievements underscore the transformative affect of expertise, inspiring others to push boundaries and embrace the long run.  

 

Discovering Tomorrow’s Improvements with Cisco 

As we proceed to have a good time the exceptional achievements of our FFIA winners, we invite you to delve deeper into Cisco’s initiatives which can be shaping the long run. Our Nation Digital Acceleration program is on the forefront of driving technological developments throughout various industries, empowering corporations to harness the transformative potential of AI and different rising applied sciences.  

Be part of us in exploring how we’re paving the best way for a extra progressive, environment friendly, and sustainable world. Study extra about how Cisco is fueling change and galvanizing visionary options that tackle essentially the most urgent challenges of our time. 

 

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