The manufacturing sector is undergoing a fundamental transformation from product-centric to service-driven business models. However, widespread AI adoption faces significant scaling challenges that could derail this strategic shift.
As employers increasingly deploy wearable technology to monitor workers, a new study reveals both the promise of healthier workplaces and the peril of digital surveillance. Researchers analyzed 74 workplace studies to create ethical guidelines for this emerging trend.
Firefox is testing a revolutionary address bar feature that shows direct answers instead of search results pages. This privacy-focused approach could fundamentally change how we search online while reducing dependence on Google.
Ingram Micro’s CEO discusses how AI is reshaping channel distribution through intelligent assistants. The move signals broader industry transformation beyond basic automation to proactive partner engagement.
Delta Air Lines is leveraging its domestic flight network to challenge traditional parcel carriers. The DeliverDirect service represents a fundamental shift in logistics strategy that could reshape e-commerce delivery economics.
Microsoft faces scrutiny over Gaming Copilot’s data handling practices. The company denies using gameplay screenshots for AI training, but privacy advocates remain concerned about default settings and data transmission.
Security researchers have confirmed that AI voice cloning technology can now impersonate anyone during live phone conversations with minimal delay. The breakthrough eliminates traditional safeguards against voice-based social engineering attacks, according to new findings from NCC Group.
Cybersecurity experts are sounding alarms about a disturbing new reality: artificial intelligence can now clone human voices convincingly enough to fool people during live phone conversations. According to recent demonstrations by security researchers, what was once science fiction has become an immediate threat to business communications and personal security.
Advanced traffic management systems using machine learning and real-time data analysis are transforming urban mobility. Research indicates these intelligent systems can significantly reduce congestion by adapting to changing traffic patterns throughout the day.
Urban transportation networks worldwide are experiencing a technological transformation as researchers develop increasingly sophisticated traffic management systems. According to recent scientific reports, artificial intelligence and predictive modeling are demonstrating significant potential to reduce congestion and improve traffic flow through adaptive signal control.
Researchers have developed a groundbreaking AI framework called Super Mamba that significantly enhances infrared small object detection. The new system reportedly achieves over 92% accuracy, representing a major advancement for security, military, and environmental monitoring applications.
Researchers have developed a new artificial intelligence framework that reportedly revolutionizes the detection of small objects in infrared images, according to recent scientific reports. The Super Mamba (SMamba) framework, designed specifically for UAV infrared small object detection, demonstrates remarkable improvements in both accuracy and computational efficiency compared to existing models.
The exponential growth of AI workloads is driving unprecedented power consumption in data centers, with AI servers consuming up to three times more energy than traditional enterprise servers. Industry reports indicate advanced power technologies and thermal management solutions are critical to supporting next-generation AI infrastructure while addressing efficiency and security concerns.
The rapid expansion of artificial intelligence across industries is creating unprecedented energy demands in data centers worldwide, according to industry analysis. Sources indicate that AI servers, which power advanced applications from large language models to real-time analytics, require significantly more power than traditional enterprise servers, with high-performance AI racks now exceeding 50 kW per rack compared to the 5-15 kW typical in conventional data centers.
