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The Libyan Volleyball Federation has announced that the national team will not participate in the African qualifiers for the African Nations Cup, scheduled to take place in Morocco later this month.

The Federation said the decision was made due to current circumstances and difficulties in securing the financial resources needed to prepare and participate at the required level. It added that all efforts were made to secure the necessary support before reaching the decision.

The withdrawal comes despite the team’s strong recent performance, including winning the bronze medal at the last African Championship in Egypt and making a historic appearance at the World Championship in the Philippines.

The Federation apologized to Libyan sports fans, describing the decision as beyond its control.

Apple is preparing for its next iPhone cycle, with early reports suggesting the iPhone 17 series will focus heavily on artificial intelligence features and camera improvements. The company is expected to deepen its AI integration across iOS, potentially improving on-device processing for tasks like writing assistance, photo editing, and personal automation. This shift reflects Apple’s attempt to compete more directly with Android manufacturers that have already pushed AI-powered features into their latest devices.

Leaked industry reports also suggest that Apple may redesign parts of the iPhone 17 lineup, with improvements in performance efficiency and battery management driven by a new generation of chips. Camera upgrades are also expected, continuing Apple’s strategy of positioning the iPhone as a leading device for mobile photography and video creation.

While Apple has not officially confirmed these details, analysts say the company is under pressure to deliver stronger AI capabilities as the smartphone market becomes increasingly driven by software intelligence rather than hardware alone..

Major technology companies including Google, Amazon, and Meta are increasingly developing their own custom AI chips to power internal systems. This strategy allows them to reduce reliance on Nvidia while lowering long-term operational costs and improving performance for specific AI workloads. These in-house chips are tailored to each company’s artificial intelligence platforms, giving them more control over efficiency and scalability. The trend shows a growing shift in the tech industry toward vertical integration, where companies control both software and hardware infrastructure.

Qualcomm is expanding its business beyond smartphones and entering the fast-growing AI data center sector. The company is positioning itself as a competitor in high-performance computing, where demand for AI processing power is rapidly increasing. Qualcomm estimates that its push into AI infrastructure could generate up to $15 billion in future revenue. This strategic shift highlights how traditional mobile chipmakers are adapting to the new AI-driven technology landscape, where data centers are becoming the core of global computing power.

IBM has announced a breakthrough in chip manufacturing with technology that allows the production of transistors smaller than one nanometer. This development represents a significant leap in semiconductor engineering, potentially enabling faster, more powerful, and more energy-efficient computing systems. The company says this innovation will play a key role in supporting next-generation artificial intelligence systems, where processing speed and energy efficiency are critical. Experts believe this could help reshape the future of high-performance computing and maintain competition in the global chip industry.

OpenAI has taken a major step beyond software development by building its first custom AI chip in collaboration with Broadcom. The chip is designed specifically for AI inference tasks, meaning it helps run trained AI models more efficiently and at lower cost. This move reflects a broader industry shift where leading AI companies are trying to control not only their software systems but also the hardware that powers them. By reducing dependence on Nvidia, OpenAI aims to improve performance, reduce infrastructure costs, and increase control over its AI ecosystem as competition in the sector intensifies.