Science and Technology

Drug discovery has traditionally been a slow, expensive, and high-risk process, often taking more than a decade and billions of dollars to bring a single therapy to market. Recent advances in artificial intelligence and protein folding tools are reshaping this landscape by dramatically improving how scientists understand biological targets, design drug candidates, and predict outcomes. Together, these technologies are compressing timelines, lowering costs, and opening therapeutic opportunities that were previously out of reach.The Central Role of Protein Structure in Drug DiscoveryMost drugs work by binding to proteins and altering their activity. To design effective molecules, researchers need to understand a…

Digital biomarkers are objective, quantifiable physiological and behavioral data collected through digital devices such as smartphones, wearable sensors, and connected medical tools. Unlike traditional biomarkers, which often rely on laboratory tests or in-clinic measurements, digital biomarkers are generated continuously in real-world settings. They capture signals like heart rhythm, physical activity, sleep patterns, voice characteristics, typing behavior, and movement dynamics, transforming everyday interactions with technology into health insights.From Episodic Care to Continuous MonitoringTraditional health monitoring is typically episodic, based on occasional clinic visits and short diagnostic tests. Digital biomarkers shift this model toward continuous observation. Wearable devices can track heart rate…

Zero-knowledge proofs, or ZKPs, first emerged within academic cryptography and later entered the public spotlight through blockchain technology and privacy-driven cryptocurrencies. Their fundamental appeal lies in a remarkable idea: a party can verify the truth of a claim without disclosing the data that substantiates it. As organizations confront increasing demands to safeguard confidential information, meet rigorous regulatory requirements, and still operate collaboratively across different entities, this approach is becoming valuable well beyond digital asset ecosystems.A practical view of zero-knowledge proofsAt an enterprise level, ZKPs enable verifiable trust with minimal disclosure. Instead of sharing raw data, organizations can share proofs that…

Augmented reality glasses and spatial computing platforms are moving from experimental products to foundational computing tools. This shift is driven by advances in hardware miniaturization, artificial intelligence, networking, and software ecosystems. Together, these trends are redefining how digital content blends with the physical world, changing how people work, learn, and interact with information.Miniaturization and Wearability as Core Design PrioritiesOne of the most influential trends is the push toward lighter, more comfortable AR glasses that resemble everyday eyewear. Early headsets were bulky and power-hungry, limiting adoption. New generations focus on balanced weight distribution, thinner waveguides, and low-power components.MicroLED and advanced OLED…

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 Fading Boundaries of the 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…

Grasping Net Energy within Fusion ProcessesNuclear fusion aims to produce power from fusion reactions in quantities that exceed the energy required to initiate and sustain them. This goal is widely referred to as net energy gain, meaning the fusion yield surpasses the input within a defined system boundary. Scientists distinguish between: Scientific breakeven: the fusion plasma produces as much energy as the energy directly delivered to it. Engineering breakeven: the entire facility, including power systems and auxiliary equipment, produces net electricity. Reaching engineering breakeven is the ultimate milestone for fusion as a power source, and progress toward it has accelerated…

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…

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 describes a paradigm where an agent refines its behavior through interactions with an environment, guided by rewards or penalties. In the context of…

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…