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Science and Technology

How are reinforcement learning and simulation improving robot dexterity?

Exploring how RL and simulation improve robot dexterity

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…
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Fotos de stock gratuitas de adentro, analytics, artificial brain

Top quantum error correction approaches currently advancing

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) 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 error reduction,…
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An asteroid discovered days ago will narrowly miss Earth

Asteroid identified days ago to graze Earth’s vicinity

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,…
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How are companies preparing for phishing and deepfake threats at scale?

How are companies preparing for phishing and deepfake threats at scale?

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 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. Executives have been…
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Obesity: why the approach is changing

Obesity care: why it’s changing

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.Understanding obesity and its significanceObesity is usually defined by body mass index (BMI) thresholds (BMI ≥30 kg/m² for adults), but BMI is a crude measure that…
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Voyager 1 has little time left in interstellar space. An ambitious Big Bang fix may change that

Voyager 1’s Interstellar Future: Can a Big Bang Fix Extend Its Life?

Humanity’s farthest spacecraft presses onward in quiet solitude beyond the bounds of the solar system, and to sustain its journey, engineers now face tough decisions about which instruments must be powered down. Every choice demands a careful trade‑off between preserving the craft and pursuing new insights at space’s outer frontier.As it journeys farther into interstellar space, Voyager 1 has shifted into a new operational stage, one centered on conserving resources rather than expanding capabilities, and in mid-April, NASA engineers sent a command to shut down one of the probe’s scientific instruments to save power and extend its functional lifespan, a…
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What trends are emerging in privacy tech for data sharing and analytics?

Exploring New Privacy Tech for Data Sharing & Analytics?

Data sharing and analytics drive modern innovation, yet growing regulatory demands, shifting consumer expectations, and the rising expense of data breaches are pushing organizations to reconsider how information is accessed and interpreted. Privacy technology has progressed from simple compliance tools to a strategic foundation that supports collaboration, sophisticated analytics, and artificial intelligence while lowering exposure to risk. Several distinct trends are now defining this environment, marking a transition from perimeter-focused protection to privacy capabilities woven directly into data workflows.Privacy-Enhancing Technologies Gain Widespread AdoptionOne of the strongest trends is the adoption of privacy-enhancing technologies, often abbreviated as PETs. These tools allow…
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What trends are shaping robotics: humanoids, warehouse bots, or cobots?

Pioneering Robotics with Vision-Language-Action Models

Vision-language-action models, often abbreviated as VLA models, are artificial intelligence systems that integrate three core capabilities: visual perception, natural language understanding, and physical action. Unlike traditional robotic controllers that rely on preprogrammed rules or narrow sensory inputs, VLA models interpret what they see, understand what they are told, and decide how to act in real time. This tri-modal integration allows robots to operate in open-ended, human-centered environments where uncertainty and variability are the norm.At a high level, these models connect camera inputs to semantic understanding and motor outputs. A robot can observe a cluttered table, comprehend a spoken instruction such…
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Retail sales were unexpectedly flat in December

Obesity Drugs: Pros, Cons, and Practical Outcomes

Obesity and excess weight are long‑term, often recurrent conditions shaped by intertwined biological, environmental, and behavioral factors, and medications used for weight management have become increasingly valuable tools that can deliver significant weight reduction, enhance metabolic wellbeing, and lessen overall disease impact when incorporated into a comprehensive treatment strategy; this article outlines how these therapies function, reviews the supporting evidence, highlights major risks, and offers grounded expectations for both patients and clinicians.How weight-loss medications workMedications target different physiological pathways that regulate appetite, satiety, digestion, and energy balance:Appetite-suppressing incretin receptor agonists (GLP-1 and dual GLP-1/GIP agonists) reduce hunger, promote fullness, and…
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Datos sintéticos: cuándo usarlos con criterio

Exploring Why Vector Search is Core to Databases

Vector search has moved from a specialized research technique to a foundational capability in modern databases. This shift is driven by the way applications now understand data, users, and intent. As organizations build systems that reason over meaning rather than exact matches, databases must store and retrieve information in a way that aligns with how humans think and communicate.From Exact Matching to Meaning-Based RetrievalTraditional databases are optimized for exact matches, ranges, and joins. They work extremely well when queries are precise and structured, such as looking up a customer by an identifier or filtering orders by date.Many contemporary scenarios are…
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