Science and Technology

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.Core Principles of Reinforcement Learning for Skilled Dexterous ControlReinforcement learning is a learning paradigm in which an agent improves its behavior by interacting with an environment and receiving feedback in the…

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…

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 recently detected asteroid will pass relatively close to Earth this Monday, attracting the interest of astronomers and space agencies worldwide. Even with the narrow cosmic distance, experts stress that the object poses no risk to the planet and will proceed safely along its trajectory through space.Astronomers are keeping a watchful eye on an asteroid designated as 2026JH2, a stony body set to sweep past Earth at an estimated distance of nearly 91,593 kilometers, or roughly 56,900 miles. Calculations from the European Space Agency indicate that it will move along a path measuring about one quarter of the typical separation…

A recently detected asteroid will pass relatively close to Earth this Monday, attracting the interest of astronomers and space agencies worldwide. Even with the narrow cosmic distance, experts stress that the object poses no risk to the planet and will proceed safely along its trajectory through space.Astronomers are closely monitoring an asteroid identified as 2026JH2, a rocky object that will pass near Earth at a distance of approximately 91,593 kilometers, or about 56,900 miles. According to calculations from the European Space Agency, the object will travel at roughly one quarter of the average distance between Earth and the moon, making…

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, Credit, and ResponsibilityOne of the most immediate ethical debates concerns…

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.Understanding obesity and its significanceObesity is commonly identified using body mass index thresholds (BMI ≥30 kg/m² for adults), though this metric offers only a limited view and fails…