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News Bulletin

Why protectionism returns during uncertain times

How do software supply chain attacks impact development practices?

Software supply-chain attacks have moved from a niche security concern to one of the most disruptive forces shaping modern software development. By targeting the tools, libraries, and services that developers trust, attackers can compromise thousands of organizations through a single weak link. High-profile incidents over the past few years have fundamentally altered how teams design, build, and maintain software, pushing security earlier and deeper into the development lifecycle.Understanding Software Supply-Chain AttacksA software supply-chain attack takes place when adversaries penetrate the development or delivery workflow rather than targeting the final application itself, compromising shared elements like open-source libraries, build systems, package…
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agentes ia en empresas

Quantum error correction: which techniques are progressing best?

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…
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How are reinforcement learning and simulation improving robot dexterity?

How reinforcement learning and simulation enhance robot dexterity

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…
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Budapest, in Hungary: How entrepreneurs attract international customers from smaller markets

International customer acquisition from smaller markets: lessons from Budapest, Hungary entrepreneurs

Budapest combines a deep technical talent pool, relatively low operating costs, favorable corporate taxation, and strong ties across Central and Eastern Europe. The city hosts universities, accelerators, and a growing startup ecosystem that repeatedly produces internationally scaled companies. For entrepreneurs focused on smaller markets—countries with limited populations, dispersed languages, or niche demand—Budapest is an effective base to design, test, and scale repeatable international acquisition strategies.Budapest city population is around 1.7–1.8 million, while Hungary’s population is about 9.6–9.7 million. Hungary’s corporate tax rate is one of the lowest in the European Union, which often reduces early-stage overhead. The time zone and…
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Which designers changed fashion history?

Fashion’s game-changers: influential designers

In the dynamic world of fashion, certain designers have not only set trends but have also redefined what fashion means across different eras. These visionaries have left indelible marks on the industry, shaping how we perceive clothing and style today. Below, we delve into some of the most influential designers who have changed fashion history, examining their contributions, philosophies, and enduring legacies.Coco Chanel: The LiberatorCoco Chanel, the iconic French designer, revolutionized women’s fashion by liberating them from the constraints of corsets and introducing a chic, comfortable style that remains influential today. One of her most notable contributions is the little…
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An asteroid discovered days ago will narrowly miss Earth

An asteroid discovered days ago will narrowly miss Earth

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?

The corporate response to phishing and deepfake threats at scale

Phishing has shifted from simple mass emails to precise, data‑fueled assaults, and deepfakes have progressed from mere curiosities to active operational threats; together, they introduce a rapidly scalable danger capable of eroding trust, draining resources, and steering critical decisions off course, prompting companies to prepare by acknowledging a key fact: adversaries now merge social engineering with artificial intelligence and automation to strike with unmatched speed and scale.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.…
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Fotos de stock gratuitas de adentro, analytics, artificial brain

What’s new in AI code generation for software development?

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 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 can craft new functions, reorganize outdated code, and clarify unfamiliar codebases as developers work.Pull…
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Belarus: industrial CSR cases focused on workplace safety and continuous training

Belarus: industrial CSR cases focused on workplace safety and continuous training

Belarusian industry, which includes potash and fertilizer producers, metallurgical operations, heavy vehicle manufacturers, oil refineries, and chemical facilities, has cultivated Corporate Social Responsibility (CSR) practices that place growing importance on employee safety and ongoing professional training, treating these two pillars as both ethical duties and strategic tools for safeguarding assets, sustaining export competitiveness, and minimizing operational risks.Regulatory and institutional contextThe state's labor protection framework sets baseline legal requirements for occupational health and safety, inspections, and reporting. Large enterprises operate within this framework while responding to market pressures from international customers and partners that demand recognized safety management systems and demonstrable…
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How do investors assess regulatory risk in biotech and pharmaceuticals?

The ethics of AI-generated research outcomes

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, Credit,…
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