Science and Technology

Industrial Internet of Things, often called Industrial IoT or IIoT, has evolved from basic connectivity and monitoring into a strategic foundation for intelligent operations. One of the most visible shifts in this evolution is the move away from reactive and preventive maintenance toward predictive maintenance, combined with increasing levels of operational autonomy. This transition is not driven by hype, but by clear economic, technological, and operational realities facing modern 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…

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 were maintained using either reactive or preventive approaches. Reactive maintenance fixes equipment after failure, while preventive maintenance relies on scheduled servicing based on time or…

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.Understanding 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 such as…

Phishing has shifted from simple mass emails to precise, data‑fueled assaults, and deepfakes have progressed from mere curiosities to active operational threats; together, they introduce a rapidly scalable danger capable of eroding trust, draining resources, and steering critical decisions off course, prompting companies to prepare by acknowledging a key fact: adversaries now merge social engineering with artificial intelligence and automation to strike with unmatched speed and scale.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.…

Quantum computers promise exponential speedups for certain problems, but they are exceptionally fragile. Quantum bits, or qubits, are highly sensitive to noise from their environment, including thermal fluctuations, electromagnetic interference, and imperfections in control systems. Even small disturbances can introduce errors that quickly overwhelm a computation.Quantum error correction (QEC) addresses this challenge by encoding logical qubits into entangled states of multiple physical qubits, allowing errors to be detected and corrected without directly measuring and collapsing the quantum information. Over the past decade, several QEC approaches have moved from theory to experimental demonstrations, with measurable improvements in error rates, scalability, and…

Robotic dexterity refers to a machine’s ability to manipulate objects with precision, adaptability, and reliability in complex, changing environments. Tasks such as grasping irregular objects, assembling components, or handling fragile items require subtle control that has historically been difficult to program explicitly. Reinforcement learning and large-scale simulation have emerged as complementary tools that are reshaping how robots acquire these skills, moving dexterity from rigid automation toward flexible, human-like manipulation.Core Principles of Reinforcement Learning for Skilled Dexterous ControlReinforcement learning describes a paradigm where an agent refines its behavior through interactions with an environment, guided by rewards or penalties. In the context…

A newly identified asteroid is set to pass relatively near Earth this Monday, drawing interest from astronomers and space agencies around the globe. Although the cosmic gap is small, specialists highlight that the object poses no threat to the planet and will move along its course safely through space.Astronomers are closely monitoring an asteroid known as 2026JH2, a rocky object expected to glide past Earth at an estimated distance of about 91,593 kilometers, roughly 56,900 miles. According to calculations from the European Space Agency, its trajectory will bring it to nearly one quarter of the usual gap between Earth and…

Phishing has shifted from simple mass emails to precise, data‑fueled assaults, and deepfakes have progressed from mere curiosities to active operational threats; together, they introduce a rapidly scalable danger capable of eroding trust, draining resources, and steering critical decisions off course, prompting companies to prepare by acknowledging a key fact: adversaries now merge social engineering with artificial intelligence and automation to strike with unmatched speed and scale.Recent industry reports indicate that phishing continues to serve as the leading entry point for major breaches, while the emergence of audio and video deepfakes has introduced a more convincing dimension to impersonation schemes.…

Artificial intelligence systems are now being deployed to produce scientific outcomes, from shaping hypotheses and conducting data analyses to running simulations and crafting entire research papers. These tools can sift through enormous datasets, detect patterns with greater speed than human researchers, and take over segments of the scientific process that traditionally demanded extensive expertise. Although such capabilities offer accelerated discovery and wider availability of research resources, they also raise ethical questions that unsettle long‑standing expectations around scientific integrity, responsibility, and trust. These concerns are already tangible, influencing the ways research is created, evaluated, published, and ultimately used within society.Authorship, Attribution,…

Obesity is increasingly understood not as a matter of willpower or aesthetics, but as a multifaceted, long‑term medical condition shaped by biological, behavioral, social, and environmental influences. This broader understanding has prompted major shifts in prevention strategies, clinical practice, public policy, and scientific research. This article outlines the factors behind this change, reviews supporting evidence and examples, presents emerging tools and care models, and examines the challenges and consequences for patients, healthcare professionals, and communities.What obesity is and why it mattersObesity is commonly identified using body mass index thresholds (BMI ≥30 kg/m² for adults), though this metric offers only a…