Science and Technology

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

Companies’ preparation for large-scale phishing and deepfake threats

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

The transformation of obesity treatment

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

The Clock Ticks for Voyager 1 in Interstellar Space: Big Bang Fix?

Humanity’s most distant spacecraft continues its solitary voyage beyond the solar system’s edge, and engineers must now make difficult calls about which instruments should be shut down to prolong its travels. Each decision involves a delicate balance between safeguarding the craft and uncovering fresh discoveries at the universe’s remote frontier.As it ventures deeper into interstellar space, Voyager 1 has entered a new phase of its mission—one defined by careful resource management rather than expansion of capabilities. In mid-April, engineers at NASA issued a command to deactivate one of the probe’s scientific instruments, a move aimed at conserving energy and prolonging…
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How are serverless and container platforms evolving for AI workloads?

How are serverless and container platforms evolving for AI workloads?

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.Why AI Workloads Stress Traditional PlatformsAI workloads vary significantly from conventional applications in several key respects:Elastic but bursty compute needs: Model training may require…
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Retail sales were unexpectedly flat in December

Medication for Weight Loss: Efficacy, Dangers, and True Prospects

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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What trends are emerging in privacy tech for data sharing and analytics?

Current Privacy Tech Trends for Data Sharing and 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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How are quantum sensors impacting navigation and medical imaging research?

Wearables: From Fitness to Medical-Grade Insights

Wearable technology began as a consumer fitness trend focused on counting steps, tracking calories, and motivating healthier habits. Early devices emphasized simplicity and mass appeal, offering basic metrics that encouraged movement and consistency. Over the past decade, however, wearables have undergone a significant transformation. They are increasingly designed to deliver medical-grade insights that support disease prevention, diagnosis, and long-term health management.This shift reflects broader changes in healthcare, technology, and consumer expectations. As sensors become more accurate and data analytics more sophisticated, wearables are moving beyond lifestyle enhancement into the realm of clinical relevance.Progress in Sensor Technology and Data PrecisionA key…
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Why NASA sent ‘organ chips’ of the Artemis II crew into space

What’s Behind NASA Sending ‘Organ Chips’ of Artemis II Crew to Space?

A new lunar expedition is not only ferrying astronauts but also moving live biological specimens created to uncover how space conditions influence the human body, offering breakthroughs that may transform the way future crews get ready for extended voyages far from Earth.Before the crew of NASA’s Artemis II mission set out on their voyage around the Moon, a distinctive scientific experiment had already begun its journey with them. Traveling inside the Orion spacecraft alongside the astronauts are miniature biological models, commonly known as “avatars,” which mirror essential elements of each crew member’s physiology. These small systems, crafted from human cells,…
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Why is multimodal AI becoming the default interface for many products?

The Rise of Multimodal AI in Product Design

Multimodal AI describes systems capable of interpreting, producing, and engaging with diverse forms of input and output, including text, speech, images, video, and sensor signals, and what was once regarded as a cutting-edge experiment is quickly evolving into the standard interaction layer for both consumer and enterprise solutions, a transition propelled by rising user expectations, advancing technologies, and strong economic incentives that traditional single‑mode interfaces can no longer equal.Human communication inherently relies on multiple expressive modesPeople do not think or communicate in isolated channels. We speak while pointing, read while looking at images, and make decisions using visual, verbal, and…
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How is synthetic data changing model training and privacy strategies?

How Synthetic Data Transforms AI Training and Privacy Strategies

Synthetic data refers to artificially generated datasets that mimic the statistical properties and relationships of real-world data without directly reproducing individual records. It is produced using techniques such as probabilistic modeling, agent-based simulation, and deep generative models like variational autoencoders and generative adversarial networks. The goal is not to copy reality record by record, but to preserve patterns, distributions, and edge cases that are valuable for training and testing models.As organizations handle increasingly sensitive information and navigate tighter privacy demands, synthetic data has evolved from a specialized research idea to a fundamental element of modern data strategies.How Synthetic Data Is…
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