Category: Technology

  • Pioneering Minds: The Intersection of Neuroscience and Artificial Intelligence

    Neuroscience and Artificial Intelligence

    In the cutting-edge field of neuro-AI convergence, Venkata Rajesh Krishna Adapa has emerged as a leading voice, bridging the gap between two transformative disciplines—neuroscience and artificial intelligence. His groundbreaking research explores how brain-inspired algorithms and advanced computational models are reshaping our understanding of intelligence.

    Historical Threads: A Journey Towards Integration
    The origins of neuro-AI convergence can be traced back to the mid-20th century when biological systems inspired early artificial neural network models. Landmark achievements, such as McCulloch and Pitts’ mathematical neuron model, provided the foundation for artificial neural networks. Parallel advancements in neuroscience, including the discovery of DNA and the development of brain imaging technologies like fMRI, further enriched the field. These milestones laid the groundwork for the seamless integration of neuroscience and AI, catalyzing innovations in understanding brain function and machine learning. This synergy has fostered unprecedented growth, driving interdisciplinary research and opening new possibilities in both domains.

    Learning from the Brain: Neuroscience’s Contributions to AI
    One of the most significant impacts of neuroscience on AI has been its influence on designing algorithms that mimic brain functions. For example:

    • Brain-Inspired Architectures: Neural networks, like convolutional and recurrent models, emulate the brain’s visual and temporal processing systems, achieving remarkable success in areas like image recognition and natural language understanding.
    • Memory Systems: Concepts from hippocampal function have informed memory-augmented AI models, enabling machines to reason and recall information effectively.

    The intricate ways in which the brain learns, from Hebbian principles to dopamine-driven reinforcement, have also inspired AI learning frameworks, enhancing their ability to solve complex problems.

    AI Empowering Neuroscience
    AI, in turn, has fueled advancements in neuroscience through sophisticated analytical tools and models. From decoding brain activity patterns to enhancing brain-computer interfaces (BCIs), AI-driven solutions are breaking barriers in medical diagnosis and assistive technology.

    • Neuroimaging Revolution: Machine learning techniques analyze vast datasets from imaging tools like MRI, automating diagnostics and improving the understanding of neural connectivity.
    • Adaptive BCIs: AI-powered systems now enable individuals with paralysis to control prosthetics with neural signals, enhancing their quality of life and independence.

    These innovations demonstrate AI’s ability to amplify neuroscience’s potential, fostering new possibilities in healthcare and cognitive science.

    Ethical Horizons: Navigating Neuro-AI Integration
    Despite its immense promise, the convergence of neuroscience and AI brings forth a range of complex ethical challenges. These include critical concerns about data privacy in brain-computer interfaces, where sensitive neural data could be misused, and the potential for neuro-AI technologies to be applied in ways that infringe on cognitive liberty or mental autonomy. Furthermore, the risk of biased AI algorithms interpreting neural patterns highlights the need for fairness and accountability. Transparent AI systems, paired with robust ethical frameworks, are essential to safeguard individual rights and ensure these innovations align with societal values and trust.

    Future Possibilities: Bridging Gaps and Redefining Intelligence
    Looking ahead, emerging technologies like neuromorphic computing and explainable AI aim to replicate and demystify brain functions more accurately. Applications in personalized healthcare, cognitive enhancement, and even explorations into the nature of consciousness hint at a transformative future.

    As neuro-AI research advances, it holds the potential to revolutionize our understanding of intelligence by seamlessly blending human and artificial cognition in ways never before imagined. This transformative journey, driven by innovators in the field, challenges conventional boundaries of knowledge, opening new frontiers in both neuroscience and artificial intelligence. By exploring the intricate interplay between the brain and machines, this research reshapes our perception of intelligence, cognition, and the possibilities of human-technology integration.

    In conclusion, the field of neuro-AI convergence not only advances scientific frontiers but also redefines human interaction with technology. Venkata Rajesh Krishna Adapa’s contributions underscore the transformative potential of this discipline, inspiring innovation and challenging conventional boundaries.

  • Secretary MeitY unveils AI playbook: revolutionising governance through artificial intelligence – CRN

    Secretary MeitY unveils AI playbook: revolutionising governance through artificial intelligence – CRN

    Mr. S Krishnan, Secretary Ministry of Electronics and IT unveiled AI Playbook developed by Wadhwani Centre for Government Digital Transformation, Wadhwani Foundation. The Playbook is a practical guide designed to accelerate the adoption of Artificial Intelligence (AI) in government projects. Senior officers of MEITY, Government of India and Wadhwani Foundation were present at the occasion.

    Speaking at the event Shri S. Krishnan, Secretary of MeitY, highlighted that the Playbook aligns with India’s technological goals and its strength lies in its practical approach. It provides a clear framework for officials to identify valuable AI opportunities, evaluate their feasibility, and transform them into effective solutions. The Playbook bridges the gap between technological potential and real-world governance requirements, offering public officials a guide to confidently navigate the AI landscape.” he said.

    Speaking at the event, Mr. Prakash Kumar, Chief Executive Officer at Wadhwani Centre for Government Digital Transformation, highlighted the Playbook’s transformative potential, stating, “The AI Playbook represents a significant step forward in enabling government bodies to harness the transformative potential of AI. By providing actionable insights and a roadmap, we aim to empower project owners to execute impactful AI-driven initiatives effectively.”

    The AI Playbook is a comprehensive and practical resource aimed at empowering project owners to identify AI integration opportunities and execute impactful AI-driven initiatives. It provides a structured framework, outlining key considerations and essential questions to ensure the successful implementation of AI solutions in governance. As a living document, the AI Playbook is designed to evolve with national priorities and advancements in AI technologies, ensuring its relevance and effectiveness in addressing contemporary challenges.

  • AI-Driven Monitoring: Transforming System Resilience and Reliability

    AI-Driven Monitoring

    In a world increasingly reliant on real-time operations, the adoption of AI-driven monitoring has emerged as a significant breakthrough. Anil Kumar Thimmapuram’s research highlights innovations in advanced system monitoring solutions, focusing on enhancing resilience and reducing recovery times. By merging AI analytics with human expertise, his work underscores the transformative potential of intelligent automation in operational management.

    Redefining System Oversight through Intelligent Monitoring
    The reliance on middleware systems for seamless operations has historically been plagued by delays in detecting and resolving failures. Traditional monitoring mechanisms often react to incidents rather than predicting them. AI-driven monitoring, however, marks a departure from conventional approaches. By leveraging AI tools capable of processing vast operational data, the system identifies anomalies, triggers proactive interventions, and minimizes disruptions. This shift from reactive to predictive oversight ensures better resilience, which is critical in industries with interconnected services.

    Optimizing Fault Detection and Recovery
    One of the core strengths of intelligent monitoring systems lies in their ability to optimize fault detection and recovery. Automated tools pinpoint failures and predict potential disruptions before they escalate. Self-healing architectures further accelerate recovery times, achieving a 25% reduction in Mean Time to Resolution (MTTR). These enhancements demonstrate how AI bridges gaps in existing processes, ensuring faster and more reliable system recovery.

    Human-AI Collaboration for Superior Outcomes
    Despite the advancements in automation, AI-driven monitoring does not replace human expertise. Instead, it complements human capabilities, creating a synergy that enhances decision-making. The combination of human insight and AI’s computational efficiency significantly improves anomaly detection accuracy. The research illustrates a 93% success rate in collaborative fault resolution scenarios—far surpassing outcomes from isolated human or AI-only efforts. This collaboration not only accelerates incident responses but also fosters trust in automation among operational teams.

    Reducing Noise and Enhancing Accuracy
    Alert fatigue has long been a challenge for operations personnel, particularly in complex environments with multiple interdependent systems. AI-driven monitoring addresses this issue by reducing false positives and refining anomaly detection. With a reported false-positive rate of just 3%, the system ensures that alerts are both actionable and accurate. Advanced algorithms analyze contextual patterns, recognizing subtle deviations that traditional systems often overlook. By filtering noise and presenting prioritized issues, these solutions allow human operators to focus on critical incidents.

    Self-Healing Architectures for Uninterrupted Operations
    AI-driven systems enhance system resilience by integrating self-healing mechanisms and optimizing resource allocation. Leveraging container-based deployments and service mesh integrations, these systems monitor real-time performance, autonomously resolve failures, and dynamically allocate resources to minimize downtime. By analyzing usage patterns and predicting workloads, AI ensures efficient resource distribution, reducing manual interventions by 40% and operational costs by 28%. These advancements establish a sustainable model for uninterrupted operations, balancing system demands with optimal performance and reliability.

    Benchmarking Resilience and Scalability
    Performance benchmarks such as Mean Time to Resolution (MTTR), anomaly detection accuracy, and automated recovery rates highlight the effectiveness of AI-driven monitoring systems. Achieving 89% accuracy in identifying anomalies and improving recovery rates by 37%, these solutions set new standards for operational resilience. Their modular architecture ensures adaptability and scalability, enabling incremental expansion without performance degradation. By balancing scalability with stability, intelligent monitoring systems redefine reliability and remain future-proof amidst growing operational demands and evolving technological challenges.

    In conclusion, Anil Kumar Thimmapuram’s research demonstrates how AI-driven monitoring systems revolutionize fault detection, recovery, and operational efficiency. By integrating advanced analytics with human expertise, these solutions offer unprecedented improvements in system resilience. The research serves as a testament to the transformative impact of AI, establishing a benchmark for intelligent, automated oversight in complex operational environments. As industries continue to embrace AI, innovations such as these pave the way for smarter, more reliable systems.

  • Hikvision Millimeter wave body scanning security system: A new dimension in security – CRN

    Hikvision Millimeter wave body scanning security system: A new dimension in security – CRN

    Today’s security threats have become more quickly and effectively controlled thanks to developing technologies. In this context, one of the technologies that has come to the fore in recent years is millimeter wave (mmWave) body scanners. Hikvision’s innovative systems in this field take security measures to the highest level and enable the detection and prevention of threats. This article will detail what a millimeter wave body scanner is, how it works, the security threats it can detect, and its areas of use.

    What is a Millimeter Wave Body Scanner?
    A millimeter wave body scanner is a device used at security checkpoints and is a system that can detect metal, plastic, ceramic, and similar objects on people. The term “millimeter wave” refers to radio waves in the frequency range of approximately 30 to 300 GHz, which is between microwave and infrared waves of the electromagnetic spectrum. These wavelengths can detect hidden objects by scanning not only through clothing but also in depth. Hikvision’s mmWave scanners can provide high-resolution scanning and blur private areas to protect people’s privacy. This enables security processes to be completed more quickly and effectively by focusing only on objects that may pose a security threat.

    Millimeter Wave Body Scanner Working Principle
    Millimeter wave technology is based on the reflection of electromagnetic waves on the human body and clothes. The device sends high-frequency waves and receives the reflections that hit the body and return, and analyses these signals to create images. These images are interpreted by special software and abnormal objects or objects that may be a threat are determined.
    Passive Operation: Millimeter wave scanners work by evaluating only the reflections. In this way, it provides a safe scan without using ionising radiation such as X-ray.
    High Resolution: The locations and sizes of suspicious objects can be determined with high-resolution images.
    Fast Scanning Time: The scanning process is usually completed in seconds. This provides a great advantage, especially in areas with high human traffic.

    What Can Be Detected with a Millimeter Wave Body Scanner?
    Millimeter wave technology can effectively detect objects hidden under clothing. These devices can identify metal and non-metal objects, allowing them to be used against a wide range of threats.

    Here are some of the items that can be detected:
    Metal Objects: Guns, knives, or other dangerous metal objects.
    Non-Metal Objects: Materials that metal detectors cannot detect, such as explosives, drugs, ceramic knives, or plastic weapons.
    Explosives: Ability to detect concealed or worn explosives.
    Other Prohibited Items: Electronic devices or any object prohibited in designated areas.
    New Standards in Security
    Image

    Key Features:
    · Non-Contact Full Body Scanner
    · Advance Milimeter wave Imaging Technology
    · AI based location detection
    · High Throughput
    · Privacy Protection
    · Networking Capability

    Hikvision’s millimeter wave body scanning security system provides an effective solution to meet public and private security requirements. Fast, reliable and easy to use, this technology makes security measures more effective and efficient. In the face of the increasing variety and complexity of security threats, millimeter wave technology offers a strong layer of protection for personal security, public security and private property security.

    Integrating this technology into the security strategies of institutions and organisations is an important step to provide a safer environment.

  • Geofencing: Driving Precision and Efficiency in IoT Applications

    Geofencing

    In today’s fast-paced technological landscape, Anand Kumar Vedantham has unveiled a comprehensive exploration of geofencing’s transformative role in the Internet of Things (IoT) ecosystem. His work highlights innovative mechanisms, from precise boundary monitoring to real-time response systems, showcasing how geofencing technologies redefine location-based services and drive operational efficiency across retail, agriculture, transportation, and smart cities.

    Virtual Boundaries, Real Impact
    Geofencing establishes virtual perimeters that activate predefined responses when devices cross their boundaries. Integrating advanced technologies like GPS, RFID, and AI-driven systems has significantly improved accuracy and efficiency. Modern architectures, enhanced with edge computing, reduce latency by 47%, enabling faster and more reliable processing. This is particularly crucial in high-density environments where seamless performance is essential for effective operations and real-time decision-making.

    Technological Synergy: Precision at Its Best
    Geofencing employs advanced technologies to achieve outstanding precision and reliability. GPS advancements provide location accuracy within 3.2 meters under optimal conditions, ensuring robust outdoor tracking capabilities. In short-range applications, RFID systems deliver remarkable performance with 99.8% accuracy at distances up to 27 meters, making them invaluable for industrial and logistical operations. Additionally, machine learning significantly enhances geofencing by utilizing algorithms to reduce signal interference and improve tag identification reliability. These cutting-edge innovations enable seamless performance even in challenging environments, firmly establishing geofencing as a pivotal technology in modern IoT ecosystems.

    Real-Time Response and Data Optimization
    Sophisticated response architectures and cutting-edge data processing techniques are the cornerstones of geofencing innovations, enabling unparalleled operational efficiency. With event processing latencies averaging just 142 milliseconds, these systems guarantee swift responses to boundary events, meeting the demands of real-time applications. Advanced data management frameworks further enhance performance, handling up to 37,000 events per second during peak loads. Compression algorithms play a vital role in maintaining sub-100 millisecond query response times, ensuring rapid data retrieval and seamless operation even under high traffic, making geofencing a critical enabler for dynamic, data-intensive environments.

    Sector-Wide Transformations
    Geofencing has redefined operational standards across multiple sectors:

    • Fleet Management: Adaptive geofencing algorithms optimize route adherence and reduce fuel consumption by up to 24.5%, ensuring timely deliveries with enhanced precision.
    • Agriculture: Livestock monitoring systems powered by geofencing reduce labor requirements by 65.3%, improving animal welfare through precise boundary management.
    • Urban Mobility: Smart city traffic systems cut congestion by 27.3%, reflecting geofencing’s potential in sustainable urban development.

    Challenges and Considerations
    The journey toward seamless geofencing implementation requires addressing key challenges, including accuracy calibration, battery optimization, and data security. Achieving optimal configurations, such as dynamic radius adjustments for urban deliveries, significantly enhances system reliability by 34.2%. Advanced AI-driven power management protocols further extend device lifespans by an impressive 273%, reducing the strain on resources. Overcoming these challenges ensures geofencing systems deliver precise, efficient, and secure operations, paving the way for widespread adoption and transformative industry applications.

    The Road Ahead: Innovation and Expansion
    The future of geofencing is set to be defined by groundbreaking advancements, including enhanced indoor positioning, automated systems, and advanced security protocols. Integration with artificial intelligence continues to refine predictive capabilities, reducing false positives while enabling proactive decision-making. Cloud-based deployment models are poised to scale applications significantly, ensuring flexibility and efficiency. Simultaneously, robust privacy measures will safeguard data integrity, fostering trust and expanding geofencing’s impact across industries and use cases.

    In conclusion, Anand Kumar Vedantham’s analysis highlights the transformative potential of geofencing in revolutionizing industries and advancing IoT capabilities. With continuous innovations in precision, efficiency, and automation, geofencing emerges as a pivotal technology in modern location-based services, driving operational excellence and enabling seamless integration. Its evolving role promises to shape a future of intelligent, adaptive, and efficient systems across diverse sectors.

  • Delta IT Network delivers smart security IT infra for NCR-based NGO “Lotus Petal Foundation” – CRN

    Delta IT Network delivers smart security IT infra for NCR-based NGO “Lotus Petal Foundation” – CRN

    Delta IT Network,has successfully executed a Smart Security IT Infrastructure project for Lotus Petal Foundation, a renowned Gurugram based NGO dedicated to education, nutrition and livelihood.

    Delta invested beyond Rs 1.5 crore in delivering cutting-edge biometric attendance systems integrated with RFID cards for Data Protection, ensuring student safety and seamless tracking of attendance and staff strength. The project also included Hikvision’s advanced CCTV networking solutions to enhance the security infrastructure and facilitate smart class solutions for interactive learning.

    “We have supplied biometric systems powered by eSSL, India’s market leader, along with Hikvision’s CCTV network to ensure seamless security and operational efficiency for the Foundation,” said Mr. Sunil Yadav, AVP Sales, Delta IT Network.

    In addition, discussions are ongoing to introduce end-computing solutions, which enable multiple LED screens on a single platform ideal for interactive teaching. Delta IT Network is also in talks to deploy DeltaView LED interactive panels for smart class solutions.
    “For smart class technology and interactive LED panels, we anticipate additional investment of Rs 1 crore that will finalize soon. Our partnership with Lotus Petal Foundation extends beyond technology, it aligns with our commitment to supporting organizations engaged in societal causes.”

    Mr. Yadav said In a statement – Lotus Petal Foundation’s IT Procurement Head, Mr. Sushant Swain praised “Delta has shown perfect coordination and understanding of our needs. Our future collaboration looks promising.”  He particularly picked out Delta ITN’s Sunil Yadav for praise.

    “Our relationship with Delta is on a very fine footing. In particular, Mr Sunil Yadav is very helpful and accommodative whenever there is a problem. There is timely delivery, and payment is not a concern when dealing with Delta,” Swain said.

    He said that the good thing about dealing with Delta was that their products are as per our specifications and we know that they will not compromise on quality. In addition, their redressal is good. If a problem arises, it is addressed immediately.’

    Asked how they supplied the computer projects to their various branches in India, Swain said that all the stuff was sent from the NGOs central branch in Delhi to their other units in UP, MP and other places.

    “We are in the process of taking a partner now to streamline our logistics,” he said.
    Lotus Petal Foundation operates a world-class education campus in Gurugram and a digital live interactive teaching platform reaching remote areas across Haryana, Madhya Pradesh, Rajasthan, Uttar Pradesh and Jharkhand.

    Pawan Chauhan, Delta IT Network’s, the Key Accounts Manager handling the Lotus Petals account, highlighted the work they were doing. “We are providing the NGO with Biometric and CCTV services for their 2,000 poor students. Since money is a consideration for such organizations that are wholly dependent upon corporate funding, we offer them services the lowest possible prices made available by Delta.’’

    Delta IT Network expects to expand its engagement further as the NGO scales operations across India.”If the master plan succeeds, we foresee additional opportunities at new satellite locations,” Mr. Yadav noted.

    Delta IT Network continues to empower the education sector with innovative solutions.The company previously delivered AI-driven infrastructure worth Rs 20 crore to Galgotias University and secured further orders for system upgrades.

    Mr. Deepanshu Chauhan, CEO of Delta IT Network, highlighted the company’s focus on EduTech: “Our partnerships with industry leaders like Dell and HP are driving substantial progress in education technology.By FY 2024-25, we aim to achieve a Rs 60 crore revenue footprint in the EduTech vertical.”

  • Building Tomorrow’s Financial Systems: Advances in Data Warehousing

    Data Warehousing

    The evolving landscape of financial reporting is being redefined by cutting-edge advancements in data warehousing. Technologies like real-time analytics and advanced data frameworks are transforming how financial institutions manage data, ensure compliance, and make decisions. Bharath Kumar Gaddam delves into these innovations, offering insights on their pivotal role in creating efficient, adaptive systems. His analysis paints a forward-looking view of how modern tools are shaping a dynamic, data-driven future for financial reporting.

    Redefining Data Warehousing for Finance
    Financial data warehousing has undergone a significant transformation, from basic storage systems to sophisticated platforms supporting real-time analytics and decision-making. Modern architectures incorporate features like real-time streaming and integration with unstructured data, enabling financial institutions to handle complex datasets effectively. This evolution ensures that organizations can adapt to increasing demands for timely and accurate financial reporting.

    Core Components Driving Efficiency
    At the heart of these systems are several architectural layers designed for specific purposes:

    1. Data Sources: These include transactional systems and external feeds, acting as the initial data inputs.
    2. Staging Areas: Temporary spaces for validation and transformation, ensuring data accuracy.
    3. Core Data Warehouses: Centralized storage optimized for analytics and historical tracking.
    4. Data Marts and Presentation Layers: Tailored for departmental analysis and user-friendly reporting tools.

    Each component integrates seamlessly to streamline data flow, from ingestion to final presentation, ensuring both performance and scalability.

    Bridging Data and Insights with Business Intelligence
    The integration of business intelligence tools serves as a critical link between raw data and actionable insights, transforming vast datasets into meaningful outcomes. These tools facilitate dynamic reporting, enabling organizations to generate customized reports tailored to specific needs. Predictive analytics and scenario analysis further empower decision-makers by providing real-time dashboards that offer a comprehensive view of operations. Through the incorporation of machine learning algorithms, financial institutions can identify emerging trends, generate accurate forecasts, and convert data into a powerful strategic asset for competitive advantage.

    Ensuring Compliance Through Innovation
    Compliance with regulations is central to financial data warehousing. Robust governance frameworks ensure audit trails, data lineage, and secure storage, meeting legal standards while safeguarding sensitive information. Advanced features such as encryption, data masking, and real-time monitoring enhance security, enabling institutions to maintain compliance and build trust in their data management practices.

    Innovations Enhancing Implementation
    Modern data warehouses leverage several innovative approaches:

    • Dimensional Modeling: Organizing data around central facts for efficient querying and analysis.
    • ETL Optimization: Real-time processing ensures data consistency and timeliness.
    • Hybrid Architectures: Combining traditional designs with flexible data lakes for greater adaptability.

    These frameworks balance performance, analytical flexibility, and compliance, addressing the unique challenges of financial systems.

    Overcoming Challenges in Scalability and Cost
    While advancements are substantial, challenges persist. High implementation costs, complex integration, and maintaining data quality remain critical hurdles. To mitigate these, financial institutions are turning to scalable cloud-based architectures and automated governance tools, ensuring efficiency without compromising security.

    Shaping the Future with Emerging Technologies
    The future of financial data warehousing lies in integrating cutting-edge technologies:

    • Artificial Intelligence: Enhances predictive analytics and data quality management.
    • Blockchain: Improves data authenticity and auditability.
    • Edge Computing: Facilitates real-time financial data processing closer to data sources.

    These advancements promise more resilient and adaptive systems, capable of addressing rapidly evolving regulatory and operational landscapes.

    In conclusion, Bharath Kumar Gaddam highlights the transformative potential of data warehousing in revolutionizing financial reporting. By embracing innovations such as real-time analytics, advanced security measures, and business intelligence integration, financial institutions can overcome traditional challenges while enhancing decision-making and regulatory adherence. These advancements not only streamline operations but also empower organizations to respond dynamically to evolving market demands. His work serves as a guide for creating robust, future-ready systems in the financial technology landscape.

  • Need for speed? Here’s what to look for in an SSD

    In our digital world, business never slows down. From creating content to making data-driven business decisions to building the next innovative app, today’s professionals demand fast and reliable technology. Therefore, it is no surprise that increasing speed is often a top priority when adding or upgrading solid state drives (SSD). But how much speed do you really need, and how do you balance your need for speed with your budget? Start with a solid understanding of what those numbers mean and how they impact your computer’s performance.

    SSD speeds are shared as sequential read/write speeds and random read/write speeds. Let’s break those down:

    • Sequential read/write speeds: The speed at which an SSD can read or write large, continuous blocks of data. An example is transferring a video file to edit or logging transactions — essentially any operation where the data is being moved into or out of storage without interruption.  Sequential speeds are measured in megabytes per second (MB/s).
    • Random read/write speeds: The speed at which an SSD can read or write the small, non-continuous blocks of data that are scattered across the drive. These are actions we don’t tend to think about as users, but they have a huge impact on laptop/PC performance. The drive accesses many small files and performs numerous background operations simultaneously to keep our systems running as we work. Random speeds are measured in Input/Output Operations per Second (IOPS) and are always slower than sequential speed due to the complexity of their operations.

    How to choose the right speed for your business need

    Most users will want to choose an SSD with a balance of read, write, random and sequential speeds. This will ensure smooth performance across tasks and use cases. But there are some special considerations, especially for those seeking to balance value with performance.

    For those who work with large files  — e.g., content creators, data analysts, software engineers — high write speeds can be very important. There is also some indication that write tasks cause more wear and tear on the drive. While this is far less of a concern with SSDs than with more traditional Hard Disk Drives (HDDs), users who heavily rely on fast write speeds may still want to prioritize overall drive reliability.

    When looking at a drive’s speed specifications, it is important not to overlook the random read/write speeds. Sequential speeds are often emphasized in SSD evaluation because they impact the types of heavy data uses like video editing and code development that spark interest in SSD upgrades. However, random read and write speeds play a large role in a PC’s overall performance. In fact, the smaller, unseen tasks most impacted by random read/write speeds are vital to everyday computer use. 

    Fortunately, today’s high-end NVMe SSDs offer an optimal mix of sequential and random read/write speeds. At the top of the pack, Samsung’s 990 Pro offers sequential read and write speeds up to 7,450/6,900 MB/s  — near max performance of PCIe® 4.0.1 It also offers random read/write speeds of up to 1,600K/1,550K IOPS. This is more than enough speed to power through almost any task, and combined with Samsung’s renowned reputation for quality, it is a drive that will last for many years to come. 

    However, for those looking for a more budget-friendly solution to finding the right balance of sequential and random speed, there is good news. The new Samsung 990 EVO Plus offers similar speeds to the Samsung PRO series with sequential read/write speeds of up to 7,250/6,300MB/s2. This means huge file transfers can be completed faster than ever. But it also boasts an impressive random read speed of 1,050K IOPS and a random write speed of 1,400K IOPS — so users can trust in its ability to drive fast performance for everyday tasks.

    Drive performance is about more than speed alone

    While speed is often the first thing users look for when evaluating SSDs, it is important to also consider other performance-impacting features. For example, users should select the right capacity for their workflow, evaluate power efficiency and thermal management and assess the SSD’s reputation for reliability. All of these attributes combine with speed to determine the overall performance of the drive and the user experience with the laptop or PC.

    Discover more about Samsung’s full range of high-performance, cost-effective SSDs for your business.

    PCIe 4.0’s best theoretical sequential read is 8000 MB/s – 990 PRO reaches 7450 MB/s as of Q3, 2022.

    2 Sequential and random write performance was measured with Intelligent Turbo Write technology being activated. Intelligent Turbo Write operates only within a specific data transfer size. Performance may vary depending on SSD’s firmware, system hardware & configuration and other factors. For detailed information, please contact your local service center. 990 PRO reaches 7,450 MB/s based on test system configuration: AMD Ryzen 7 5800X 8-Core Processor CPU@3.80GHz, DDR4 3600MHz 16GBx2 (PC4-25600 Overclock), OS – Windows 10 Pro 64bit, Chipset – ASRock-X570 Taichi. To maximize the performance of the 990 PRO, please check whether your system supports PCIe 4.0 at the Intel or AMD website.

  • Key Cybersecurity Threats Expected in 2025, Seqrite reveals – CRN

    Key Cybersecurity Threats Expected in 2025, Seqrite reveals – CRN

    Seqrite, the enterprise security arm of Quick Heal Technologies Ltd, has outlined critical predictions for 2025. India’s digital ecosystem is undergoing rapid expansion, ushering in an unprecedented rise in cybersecurity threats that are becoming more complex and pervasive. Seqrite’s predictions for the 2025 threat landscape paint a detailed picture of the challenges that lie ahead.

    According to the experts at Seqrite Labs, India’s largest malware analysis facility, ransomware is expected to transform significantly. Moving beyond simple encryption attacks, criminals will adopt double extortion tactics, including data theft and public exposure. Even more alarming is the potential for ransomware to target critical infrastructure like healthcare, energy, and transportation, causing disruptions through physical sabotage and data manipulation. Industries relying on Operational Technology (OT) and Industrial Internet of Things (IIoT) systems will be particularly vulnerable.
    As organisations migrate to cloud-based services, vulnerabilities arising from configurations and unsecured APIs are likely to increase. Seqrite predicts that attackers will focus on exploiting weak links in cloud environments and API integrations, especially in high-stakes industries like finance, IoT, and SaaS. The reliance on cloud providers and the growing attack surface created by APIs demand stricter security protocols and robust monitoring systems. Furthermore, cybercriminals are also likely to continue refining their methods to exploit vulnerabilities in the software supply chain.

    Experts at Seqrite Labs also point out that the proliferation of IoT devices and edge computing is creating fertile ground for attackers. Poorly secured devices will be co-opted into large-scale botnets, enabling distributed denial-of-service (DDoS) attacks. Industries such as manufacturing and healthcare are especially at risk, where operational technologies are increasingly interconnected and vulnerable. Also, AI is expected to amplify the sophistication of cyberattacks.

    AI-generated phishing campaigns, leveraging deepfake technology, will craft highly convincing lures to bypass traditional detection methods. AI-powered malware capable of real-time adaptation will pose a significant challenge to existing security defenses. Furthermore, data poisoning attacks targeting AI systems in critical sectors like healthcare and autonomous vehicles could sabotage vital operations.

    Despite the implementation of frameworks like the EU AI Act, regulatory measures may struggle to keep pace with the rapid advancements in AI technology. This lag will create opportunities for misuse, ranging from biased decision-making to malicious applications like deepfake-generated cybercrimes. Hacktivist groups, driven by policy changes and increased surveillance on mainstream platforms, are expected to migrate to less monitored spaces such as Discord, Signal, or private forums. This migration will complicate law enforcement efforts and necessitate a deeper understanding of emerging platforms.

    Seqrite also predicts that human error, already a significant contributor to cybersecurity incidents, is likely to account for nearly 50% of breaches by 2025. As workloads increase, simple mistakes such as clicking on phishing links will remain prevalent. Continuous security training and user-awareness programs will be essential to mitigate this risk. The popularity of mobile trading platforms and cryptocurrency has also opened new avenues for fraud. With the rise of digital transactions, cybercriminals will employ increasingly sophisticated methods to exploit personal documents. The resulting financial losses and reputational damage will impact both individuals and organisations.

    With the increasing integration of AR into daily life, malware designed for AR environments could manipulate digital overlays or steal sensitive information. This emerging threat is likely to exploit the nascent security frameworks around AR technology. Adaptive malware that evolves based on user behavior and system defenses will become more prevalent. This real-time adaptability will challenge traditional detection methods, requiring advanced tools and strategies to counter.

    Hardware vulnerabilities introduced during manufacturing or refurbishing are expected to emerge as a significant risk. Seqrite predicts that cybercriminals embedding malicious components in devices will target global supply chains, making detection and mitigation exceedingly difficult. Critical infrastructure – healthcare, energy, and financial services – will also remain high-priority targets for cybercriminals. Motivated by geopolitical tensions and financial gain, attackers could disrupt essential services, causing widespread societal and economic consequences.

    Experts at Seqrite Labs also predict that malicious code embedded in apps available on platforms like Google Play Store may bypass security checks, endangering millions of users. Fraudulent government-themed apps are likely to continue exploiting citizens seeking financial aid or social benefits. These apps, designed to steal sensitive data, will lead to identity theft and financial fraud, particularly among vulnerable populations.
    Android malware leveraging cloud infrastructure will bypass on-device security systems by shifting computation-intensive tasks to the cloud. This approach will make detection and response more challenging for cybersecurity teams. However, all is not bleak as the transition to password-less security methods, including biometric authentication and cryptographic passkeys, is expected to accelerate. These advancements promise stronger defenses against traditional vulnerabilities like password reuse and phishing, while also enhancing user convenience.

    Seqrite’s predictions underscore the urgency for businesses, governments, and individuals to enhance their cybersecurity postures. According to experts from Seqrite Labs, focusing on proactive threat detection, regulatory compliance, employee training, and international collaboration will be pivotal in navigating the increasingly treacherous digital landscape. The year 2025 promises both innovation and intensified threats, demanding a unified and resilient approach to cybersecurity.

  • NCLAT to review CCI’s ₹213 crore WhatsApp penalty

    NCLAT to review CCI's ₹213 crore WhatsApp penalty

    IANS

    Meta has challenged the Competition Commission of India’s (CCI) order imposing a penalty of Rs 213 crore on the firm. The penalty is related to WhatsApp’s 2021 privacy policy update. The social media giant moved the National Company Law Appellate Tribunal (NCLAT) on Monday, seeking to overturn the CCI’s decision.

    The CCI, in November last year, directed WhatsApp not to share user data collected on its platform with other Meta products or companies for advertising purposes for a period of five years. The watchdog also imposed a penalty of Rs 213.14 crore on Meta for allegedly abusing its dominant position.

    Meta has now informed the NCLAT that the CCI order has wide ramifications for the industry as a whole and therefore, an urgent hearing in the matter will be required. The case is scheduled for a hearing before the appellate tribunal on January 16.

    WhatsApp, which has more than 500 million monthly active users in India, disagreed with the CCI’s decision and planned to appeal. The CCI order stated, “The 2021 policy update by WhatsApp on a ‘take it-or-leave-it’ basis constitutes an imposition of unfair conditions under the Act, as it compels all users to accept expanded data collection terms and sharing of data within Meta Group without any opt-out.”

    Meta

    MetaIANS

    In response, a Meta spokesperson stated that the 2021 WhatsApp update did not change the privacy of people’s personal messages and was offered as a choice for users at the time. The spokesperson further added, We also ensured no one would have their accounts deleted or lose functionality of the WhatsApp service because of this update. The update was about introducing optional business features on WhatsApp, and provided further transparency about how we collect and use data.

    The CCI began a probe in March 2021 into WhatsApp’s revised privacy policy, which enabled mandatory data sharing with Facebook (now Meta) and its companies, along with an expanded scope of data collection.

    The CCI’s decision to fine Meta and the subsequent appeal by the company has brought the issue of data privacy and the power of tech giants under the spotlight. The case has also raised questions about regulatory overlap in relation to user privacy.

    Analysts and policy experts have noted that while the company can appeal the order, it will have to comply with data sharing limitations and purpose norms as per the Digital Personal Data Protection (DPDP) Act. The proposed Digital Competition Bill is also expected to regulate the space.

    The CCI’s action aims to protect consumer interests and market competition, but it also raises questions of regulatory overlap in relation to user privacy. This will need to be evaluated in light of the new Digital Personal Data Protection Act, 2023, to ensure alignment with the rights accorded to data fiduciaries concerning user data.