Science and Technology

Zero-trust security represents an architectural strategy built on the premise that no user, device, or application is inherently trustworthy, even when operating within a corporate network, and access determinations are continually reassessed based on identity, device status, context, and behavioral signals, offering a clear departure from traditional perimeter-focused security models that automatically grant trust once individuals move inside the network.Cloud Adoption and the Dissolving Network PerimeterOne of the strongest trends driving zero-trust adoption is the rapid migration to cloud and hybrid environments. Organizations increasingly rely on multiple public clouds, software-as-a-service platforms, and APIs that extend beyond traditional firewalls.Workloads shift fluidly…

Blue Origin faced a significant reversal following an incident with its New Glenn rocket during a ground engine test in Florida, introducing fresh doubts about the company’s bold objectives for commercial launches, reusable rocket development, and upcoming lunar exploration initiatives.Blue Origin’s ongoing bid to cement its role as a leading player in today’s space sector faced a fresh setback when a New Glenn rocket suffered a severe malfunction during a hotfire test at Cape Canaveral Space Force Station in Florida, an event that unfolded amid standard prelaunch procedures and gained broad visibility after online footage appeared to capture an explosion…

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…

Quantum computers hold the potential to deliver exponential acceleration on specific tasks, yet their components remain extraordinarily delicate, with qubits—quantum bits—reacting intensely to environmental noise such as thermal shifts, electromagnetic disruptions, and flaws within control mechanisms; even minimal interference can trigger errors that rapidly undermine an entire computation.Quantum error correction (QEC) tackles this issue by embedding logical qubits within entangled configurations of numerous physical qubits, enabling the identification and correction of faults without directly observing and collapsing the underlying quantum data. During the last decade, various QEC methods have progressed from theoretical constructs to practical demonstrations, yielding notable gains in…

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…

A recently discovered asteroid will make a relatively close approach to Earth this Monday, drawing the attention of astronomers and space agencies worldwide. Despite the short cosmic distance, experts emphasize that the object represents no danger to the planet and will safely continue its journey 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 the moon,…

Obesity is increasingly recognized not as a simple result of willpower or a cosmetic issue, but as a complex, chronic health condition with biological, behavioral, social, and environmental drivers. That recognition has driven a substantive shift in prevention, clinical care, public policy, and research. This article explains the reasons for the change, summarizes evidence and examples, describes new tools and models of care, and considers challenges and implications for patients, clinicians, and societies.What obesity is and why it mattersObesity is usually defined by body mass index (BMI) thresholds (BMI ≥30 kg/m² for adults), but BMI is a crude measure that…

Artificial intelligence systems are increasingly used to generate scientific results, including hypotheses, data analyses, simulations, and even full research papers. These systems can process massive datasets, identify patterns faster than humans, and automate parts of the scientific workflow that once required years of training. While these capabilities promise faster discovery and broader access to research tools, they also introduce ethical debates that challenge long-standing norms of scientific integrity, accountability, and trust. The ethical concerns are not abstract; they already affect how research is produced, reviewed, published, and applied in society.Authorship, Attribution, and AccountabilityOne of the most immediate ethical debates concerns…

AI code generation has evolved from a cutting‑edge experiment into a core pillar of contemporary software creation, shifting from simple snippet autocompletion to influencing architectural planning, testing approaches, security evaluations, and team operations, ultimately marking a major shift not only in development speed but in how humans and machines now collaborate throughout the entire software lifecycle.Copilots Everywhere: From IDEs to the Entire ToolchainEarly AI coding assistants were initially built to offer suggestions within the editor, but now copilots are woven throughout the entire development lifecycle, spanning requirements collection, code evaluation, testing, deployment, and system observability.IDE copilots generate functions, refactor legacy…

Artificial intelligence workloads have transformed the way cloud infrastructure is conceived, implemented, and fine-tuned. Serverless and container-based platforms, which previously centered on web services and microservices, are quickly adapting to support the distinctive needs of machine learning training, inference, and data-heavy pipelines. These requirements span high levels of parallelism, fluctuating resource consumption, low-latency inference, and seamless integration with data platforms. Consequently, cloud providers and platform engineers are revisiting abstractions, scheduling strategies, and pricing approaches to more effectively accommodate AI at scale.How AI Processing Strains Traditional Computing PlatformsAI workloads vary significantly from conventional applications in several key respects:Elastic but bursty compute…