Quantum Cooling Breakthrough Paves Way for Ultra-Low Temperature Microwave Technology
Quantum Refrigeration: A New Frontier in Noise Reduction In the rapidly evolving field of quantum technologies, researchers have made significant…
Quantum Refrigeration: A New Frontier in Noise Reduction In the rapidly evolving field of quantum technologies, researchers have made significant…
The Growing AI Priority Gap Between Finance and Technology Leaders New research from EY’s 2025 Technology Risk Pulse Survey reveals…
A group of fifty-five Chinese iPhone and iPad users has formally accused Apple of monopolistic practices through its App Store policies. The complaint filed with China’s market regulator challenges Apple’s exclusive control over app distribution and payment processing in the country.
Fifty-five iPhone and iPad users in China have jointly filed an antitrust complaint with the country’s market regulator, accusing Apple of abusing its dominant market position through restrictive App Store policies, according to reports from Reuters and Sina. The group, represented by legal counsel, submitted their petition last week to the State Administration for Market Regulation (SAMR), urging officials to launch a formal investigation into what they characterize as monopolistic practices.
Strategic Energy Partnership Powers Pennsylvania’s Digital Infrastructure In a significant move that bridges energy storage and digital infrastructure, Eos Energy…
Microsoft is positioning Windows 11 as an AI-native platform with built-in Copilot features and specialized hardware. The company’s vision includes “agentic work” where the OS anticipates user needs and acts proactively. New capabilities span voice commands, visual assistance, and cloud-based Windows experiences.
Microsoft is fundamentally reimagining Windows 11 as an artificial intelligence-native platform, according to reports from the company’s recent technical communications. Sources indicate the software giant is betting heavily on AI integration to transform how users interact with their computers, positioning Windows at the center of what Microsoft describes as “agentic work” – where the operating system anticipates needs and acts proactively without explicit commands.
Overcoming Fundamental Limitations in GaN Transistor Technology The semiconductor industry faces a persistent challenge in gallium nitride (GaN) p-type field-effect…
Tinder’s Identity Crisis Dating app giant Tinder finds itself at a critical crossroads. Once the undisputed king of mobile dating,…
Samsung’s 2nm GAA Technology Reaches Mass Production Milestone Samsung Electronics has officially commenced mass production of 2nm Gate-All-Around (GAA) wafers…
Breakthrough in Quantum Dot Fabrication Researchers have achieved a significant milestone in quantum technology by successfully creating few-electron triple quantum…
A groundbreaking study introduces a hybrid AI framework combining advanced feature selection with deep reinforcement learning to detect DDoS attacks in cloud environments. The approach reportedly addresses critical limitations in existing detection systems while maintaining real-time performance and interpretability. Researchers claim the method demonstrates superior accuracy and scalability across diverse network conditions.
Researchers have developed a comprehensive framework for detecting Distributed Denial of Service (DDoS) attacks in cloud environments using hybrid feature selection combined with deep reinforcement learning, according to recent reports. The methodology reportedly addresses significant gaps in existing detection systems, including limited multi-class attack categorization, insufficient scalability in distributed environments, and inadequate continuous learning capabilities.