ZIMBABWE NATIONAL ARTIFICIAL INTELLIGENCE AI STRATEGY

Optical Module under AI

Optical Module under AI

Optical modules convert electrical signals into light to move data quickly and reliably in AI systems, enabling fast and smooth data processing. Although co-packaged optics (CPO) and on-board optics (OBO) have been proposed to increase bandwidth density, these approaches introduce significant challenges in field serviceability, scalability, and manufacturability, making them difficult to deploy widely in hyperscale environments. Yole Group attended OFC 2026 with a dedicated team of analysts on site, actively engaging with major players in the photonics ecosystem throughout the event. In addition to hosting a dedicated photonics market briefing, Scaling Datacom Optical Technologies for Next Generation Networks, and. As AI workloads expand, GPU/XPU clusters and their bandwidth demands are growing at unprecedented rates.

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Iran inquires about 200G AI server

Iran inquires about 200G AI server

Iran has issued a new threat against a US interest: the $30 billion Stargate AI data center in Abu Dhabi. Stringer/Getty Images Welcome back to In the Loop, TIME's new twice-weekly newsletter about AI. Tech companies have been funnelling billions of dollars into AI infrastructure projects in the Middle East over the past few years, drawn in by cheap and readily available energy and land, alongside local government support. Iran's strikes on data centres in the Gulf signal a new phase in warfare, where digital infrastructure becomes a target. Home / Blog / Iran's AI Ambitions: From Strategic Goals to Offensive Capabilities I recently read the in-depth analysis of Iran's national strategy regarding AI by Recorded Future Insikt Group®. Despite facing economic and technological constraints, Iran is developing a state-led, militarized AI.

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AI Intrusion into Servers

AI Intrusion into Servers

AI intrusion refers to unauthorized or adversarial access to an AI system or the exploitation of its components, including model weights, training data, APIs, or inference outputs. This could involve prompt injection, model hijacking, or adversarial examples that cause. AI-assisted attacks are faster and harder to detect, using valid credentials and normal behavior to bypass traditional defenses. Fidelis Deception® flips detection logic by controlling what attackers see, turning reconnaissance into immediate detection. In early 2026, IBM X-Force discovered a likely AI-generated novel malware which we are dubbing "Slopoly," used during a ransomware attack. The operators are part of a group tracked as Hive0163, whose main objective is extortion through large-scale data exfiltration and ransomware. Since our February 2026 report on AI-related threat activity, Google Threat Intelligence Group (GTIG) has continued to track a maturing transition from nascent AI-enabled operations to the industrial-scale application of generative models within adversarial workflows. Introduction: The Strategic Advantage of AI in Network Security Modern networks generate massive amounts of data every second, making manual monitoring and analysis virtually impossible. But what happens when a critical flaw exposes these powerful systems to hackers? Recent discoveries have unveiled vulnerabilities that allow unauthorized access.

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ARM server chips and AI chips

ARM server chips and AI chips

By early 2029, Arm architectures are projected to dominate the AI ASIC server CPU market, propelled by two powerful catalysts – aggressive scaling of Arm architecture licensing for proprietary hyperscaler in-house CPU silicon, and launch of the turnkey Arm AGI CPU. The Arm AGI CPU is the first production silicon from Arm, designed for AI infrastructure at scale. The chip has a 300-watt TDP and dedicates one core to each program thread, preventing throttling and idle-thread problems common in x86 processors under continuous loads. Driven by scaled adoption and structural momentum, Arm-based CPUs are on track to surpass legacy x86 deployments with major hyperscalers' AI ASIC server platforms. Arm unveils AGI CPU for AI data centers, co-developed with Meta, optimized for agentic AI workloads and delivering breakthrough performance per rack.

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China s first AI server agent

China s first AI server agent

At the 2025 World Artificial Intelligence Conference (WAIC), PPIO, a leading independent distributed cloud computing service provider in China, officially launched the country's first Agentic AI infrastructure service platform, marking a new milestone in agent application. Developed by a low-profile team and backed by Chinese investors and developers, Manus is currently available as an invitation-only web. The new general AI agent from China had some system crashes and server overload—but it's highly intuitive and shows real promise for the future of AI helpers. On May 8, 2026, China's Cyberspace Administration (CAC), the National Development and Reform Commission, and the Ministry of Industry and Information Technology jointly released the Implementation Opinions on the Standardized Application and Innovative Development of Intelligent Agents — the. Did Manus, released in March 2025, portend Chinese leadership in AI systems that go beyond chatbots to take. Last week, Chinese researchers launched an early preview of Manus AI, which they said is "the first general AI agent. " "This isn't just another chatbot or workflow," Yichao "Peak" Ji, chief scientist for Manus AI, said in an introductory video.

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