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Science and Technology

How do companies measure AI ROI beyond cost savings?

How are reinforcement learning and simulation improving 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.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…
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How are reinforcement learning and simulation improving robot dexterity?

Advanced robot dexterity: RL and simulation methods

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.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 rewards…
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An asteroid discovered days ago will narrowly miss Earth

Earth narrowly avoids impact from new asteroid

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…
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An asteroid discovered days ago will narrowly miss Earth

Earth to have close call with recently found asteroid

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

Companies’ readiness for phishing and deepfake threats on a large 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 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…
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ChatGPT to start showing users ads based on their conversations

AI-generated science: a new frontier for ethical debate

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,…
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¿Qué tendencias redefinen APIs e integración con arquitecturas orientadas a eventos?

Understanding the trends in AI code generation for dev

AI code generation has shifted from experimental tooling to a foundational layer of modern software development. What began as autocomplete for snippets now influences architecture decisions, testing strategies, security reviews, and team workflows. The most significant change is not just speed, but a redefinition of how humans and machines collaborate across the software lifecycle.Copilots Everywhere: From IDEs to the Entire ToolchainEarly AI coding assistants focused on in-editor suggestions. Today, copilots are embedded across the stack, including requirements gathering, code review, testing, deployment, and observability.IDE copilots can craft new functions, reorganize outdated code, and clarify unfamiliar codebases as developers work.Pull request…
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Obesity: why the approach is changing

Understanding the new approach to obesity

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…
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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 Clock Ticking: Can a Big Bang Fix Extend Its Journey?

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 continues its trek through interstellar space, Voyager 1 has moved into a fresh operational phase focused on preserving limited resources instead of expanding capabilities, and in mid-April, NASA engineers issued a command to power down one of the spacecraft’s scientific instruments to conserve energy and prolong its working life,…
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How are serverless and container platforms evolving for AI workloads?

How Serverless & Containers Adapt for AI

Artificial intelligence workloads have reshaped how cloud infrastructure is designed, deployed, and optimized. Serverless and container platforms, once focused on web services and microservices, are rapidly evolving to meet the unique demands of machine learning training, inference, and data-intensive pipelines. These demands include high parallelism, variable resource usage, low-latency inference, and tight integration with data platforms. As a result, cloud providers and platform engineers are rethinking abstractions, scheduling, and pricing models to better serve AI at scale.How AI Processing Strains Traditional Computing PlatformsAI workloads differ from traditional applications in several important ways:Elastic but bursty compute needs: Model training may require…
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