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Science and Technology

How are fusion projects progressing toward net energy and engineering milestones?

How are fusion projects progressing toward net energy and engineering milestones?

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 an energy output that matches the power fed directly into it.Engineering breakeven: the entire facility, including its electrical framework and auxiliary systems, delivers excess electrical power.Reaching engineering breakeven is regarded as the crucial milestone for making fusion a viable energy solution, and progress toward…
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Blue Origin rocket explodes during ground test

Blue Origin rocket explodes: ground test incident

Blue Origin suffered a major setback after an incident involving its New Glenn rocket during a ground engine test in Florida. The event adds new uncertainty to the company’s ambitious plans for commercial launches, reusable rockets, and future lunar exploration missions.Blue Origin’s efforts to establish itself as a major force in the modern space industry encountered another challenge after a New Glenn rocket experienced a serious anomaly during a hotfire test at Cape Canaveral Space Force Station in Florida. The incident, which occurred during a routine preflight procedure, drew widespread attention after footage circulated online appearing to show an explosion…
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Why is industrial IoT shifting toward predictive maintenance and autonomy?

Industrial IoT’s pivot to predictive maintenance and autonomy: a deep dive

Industrial Internet of Things, often called Industrial IoT or IIoT, has evolved from basic connectivity and monitoring into a strategic foundation for intelligent operations. One of the most visible shifts in this evolution is the move away from reactive and preventive maintenance toward predictive maintenance, combined with increasing levels of operational autonomy. This transition is not driven by hype, but by clear economic, technological, and operational realities facing modern industries.The Limitations of Traditional Maintenance ModelsFor 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…
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How are companies preparing for phishing and deepfake threats at scale?

Addressing phishing and deepfake threats: company preparations

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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How do companies measure AI ROI beyond cost savings?

Boosting robot dexterity through RL and simulation techniques

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 describes a paradigm where an agent refines its behavior through interactions with an environment, guided by rewards or penalties. In the context of robot…
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An asteroid discovered days ago will narrowly miss Earth

Earth narrowly avoids impact from recently found 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 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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Placebo and nocebo: the power of expectation in health

The power of expectation: placebo and nocebo in health

Expectations shape physiology. The terms placebo and nocebo capture the positive and negative consequences of those expectations. A placebo effect occurs when a beneficial health change follows an inert treatment or contextual therapeutic act; a nocebo effect is when negative outcomes or side effects follow due to negative expectations. Both are not “just in the head”: they produce measurable changes in symptoms, biological markers, brain activity, and behavior. Understanding these phenomena matters for clinical care, trial design, public health policies, and ethical communication.Key Definitions and DistinctionsPlacebo: an improvement that stems from psychological influences and situational elements rather than the particular…
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Obesity: why the approach is changing

New approaches to tackling 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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What ethical debates are emerging around AI-generated scientific results?

Ethical implications of AI-created scientific data

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…
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What trends are reshaping software development with AI code generation?

AI code generation: what trends are shaping software development?

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 Pervading Everything: Spanning IDEs and the Broader 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 generate functions, refactor legacy code, and explain unfamiliar codebases in real time.Pull…
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