Amira Al-Said investigates the societal and ethical consequences of rapid technological shifts. Her deep-dive reporting provides critical context to the algorithms shaping our future.
CNET visits Samsung Display HQ, revealing next-generation screen concepts such as rollable, foldable, and transparent, behind which lies Samsung's strategic layout in display technology and its ultimate bet on the future form of smartphones.
AI search engines are transforming the way e-commerce products are discovered. The startup Lantern has shifted from loyalty tools to Generative Engine Optimization (GEO), helping brands stand out in AI-driven recommendations. This article analyzes the technological trends, competitive landscape, and entrepreneurial opportunities.
The Djinn Stealer malware, based on the SimpleHelp vulnerability, specifically targets credentials for cloud and AI development tools, revealing how attackers exploit operational infrastructure to expand the attack surface, posing a new threat to AI supply chain security.
A study targeting ChatGPT, Gemini, Perplexity, and Claude reveals that the visibility of beauty brands in AI search depends on category authority, media endorsement, and community trust, rather than owned content. Reddit has become the most frequently cited source.
The Cambodian startup CheckinMe has entered the Asia-Pacific finals, marking regional recognition of the country's tech ecosystem. This article analyzes the deeper significance of this trend from the perspectives of the startup ecosystem, the digital economy, and global tech competition.
When enterprise IT support is no longer centered solely on “ticket response,” but shifts toward AI assistance, human collaboration, and process restructuring, what truly changes is not the customer service interface, but how the organization expands, how it controls costs, and how it embeds knowledge into its operational systems.
The Fujifilm-related case is not just a one-off corporate AI communications campaign; it reflects a more important trend: AI competition is shifting from model parameters and concept demonstrations to how organizations can turn AI into measurable business capabilities within existing office platforms, data permissions, risk governance, and day-to-day workflows.
As Anthropic and OpenAI gradually expand the availability of frontier models for vulnerability discovery and security analysis, the competitive logic of cybersecurity is changing: AI is no longer just a defensive tool, but is also becoming a force reshaping attack chains, vulnerability prioritization, and the allocation of security budgets.
Taipei Computex 2026 has sent out a clear industry signal: PC, AI chips, memory prices, and cloud computing power are jointly reshaping the boundaries of personal computing.
India’s startup ecosystem is no longer merely a narrative of urban white-collar professionals; it is evolving into a national supply system that links education, skills, manufacturing, digital services, and technological competition.
In Australia’s healthcare sector, the cloud computing debate has already shifted from “whether to move to the cloud” to “whether it truly creates value after moving to the cloud.” Behind this lie issues involving data governance, interoperability, cybersecurity, the practical deployment of AI, and the long-term efficiency restructuring of the public healthcare system.