Science and Technology

Industrial Internet of Things, widely known as Industrial IoT or IIoT, has progressed from simple connectivity and oversight into a strategic backbone for smarter operations, and this shift is seen most clearly in the departure from reactive and preventive maintenance toward predictive maintenance paired with rising degrees of operational autonomy, a change propelled not by hype but by tangible economic, technological, and operational pressures shaping contemporary industries.Constraints Inherent in Conventional Maintenance ApproachesFor decades, industrial assets have been managed through either reactive or preventive strategies, with reactive maintenance addressing breakdowns only after they occur, while preventive maintenance depends on routine service…

Software supply-chain attacks have evolved from a niche worry into a major force reshaping contemporary software engineering, as adversaries exploit the trusted tools, libraries, and services developers rely on, enabling a single vulnerability to expose countless organizations, while high-profile breaches in recent years have transformed how teams architect, create, and sustain software, driving security considerations much earlier and more deeply into the entire development process.Gaining Insight into Software Supply-Chain AttacksA software supply-chain attack occurs when attackers infiltrate the development or distribution process rather than directly attacking the end application. Instead of breaking into a single system, they compromise shared components…

Phishing has evolved from crude email scams into highly targeted, data-driven attacks, while deepfakes have moved from novelty to operational threat. Together, they create a scalable risk that can undermine trust, drain finances, and compromise strategic decisions. Companies are preparing for these threats by recognizing a central reality: attackers now combine social engineering, artificial intelligence, and automation to operate at unprecedented speed and volume.Recent industry data shows that phishing remains the most common initial attack vector in major breaches, and the rise of audio and video deepfakes has added a new layer of credibility to impersonation attacks. Executives have been…

Robotic dexterity describes a machine’s capacity to handle objects with precise, adaptable, and dependable control even in dynamic, unpredictable settings. Activities like grasping uneven items, assembling parts, or managing delicate materials call for nuanced manipulation that has long been challenging to encode directly. By combining reinforcement learning with large-scale simulation, researchers are transforming how robots develop these abilities, shifting dexterity away from rigid automation and toward more flexible, human-like interaction.Foundations of Reinforcement Learning for Dexterous ControlReinforcement learning is a learning paradigm in which an agent improves its behavior by interacting with an environment and receiving feedback in the form of…