Science and Technology

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 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.…

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…

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 is a learning paradigm in which an agent improves its behavior by interacting with an environment and receiving feedback in the form…

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) addresses this challenge by encoding logical qubits into entangled states of multiple physical qubits, allowing errors to be detected and corrected without directly measuring and collapsing the quantum information. Over the past decade, several QEC approaches have moved from theory to experimental demonstrations, with measurable improvements in error rates, scalability, and…

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,…

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 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,…

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 were initially built to offer suggestions within the editor, but now copilots are woven throughout the entire development lifecycle, spanning requirements collection, code evaluation, testing, deployment, and system observability.IDE copilots can craft new functions, reorganize…

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 Workloads Put Pressure on Conventional PlatformsAI workloads vary significantly from conventional applications in several key respects:Elastic but bursty compute needs: Model training…

Vision-language-action models, commonly referred to as VLA models, are artificial intelligence frameworks that merge three fundamental abilities: visual interpretation, comprehension of natural language, and execution of physical actions. In contrast to conventional robotic controllers driven by fixed rules or limited sensory data, VLA models process visual inputs, grasp spoken or written instructions, and determine actions on the fly. This threefold synergy enables robots to function within dynamic, human-oriented settings where unpredictability and variation are constant.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…

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…