Next-Generation AI Processing Power Intel’s upcoming Panther Lake processor represents a significant leap forward in computational architecture, featuring substantial improvements…
Businesses adopting artificial intelligence face significant challenges without proper workforce integration, analysts suggest. Research indicates that companies involving employees in AI implementation achieve better results than those imposing solutions from above.
As artificial intelligence rapidly transforms industries, companies must prioritize workforce integration to successfully implement the technology, according to multiple industry reports. The transition period could prove challenging as organizations balance automation opportunities with the need for human oversight and skill development.
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Spanish Cybersecurity Innovator Raises Major Funding Madrid-based cybersecurity platform Acoru has secured €10 million in Series A funding to advance…
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Breaking Down Barriers in Financial Advisory London-based AI technology company Saturn has successfully closed a €12.9 million Series A funding…
Intel is reportedly implementing price increases on its Raptor Lake processors as consumer preference for older chips continues amid sluggish AI PC adoption. Supply chain sources suggest the chipmaker is raising prices by approximately 10% on remaining inventory due to sustained demand.
Intel is reportedly planning to increase prices for its Raptor Lake processors by approximately 10% amid weaker-than-expected demand for its newer AI-capable chips, according to supply chain sources familiar with the matter. The price adjustments come as consumers continue to favor the older-generation processors over Intel’s latest Lunar Lake and Arrow Lake offerings, creating an unusual market dynamic where previous-generation products are experiencing both supply constraints and price inflation.
A newly discovered security flaw in the Model Context Protocol implementation enables attackers to hijack AI agent sessions and inject malicious responses. The vulnerability stems from predictable session ID generation that can be exploited through systematic attacks. Security analysts warn this represents emerging risks as AI systems become integrated into critical workflows.
Security researchers have uncovered a significant vulnerability in the implementation of Anthropic’s Model Context Protocol that enables attackers to hijack AI agent sessions and inject malicious responses, according to technical analysis reports. The security flaw, tracked as CVE-2025-6515, exists in the Oat++ framework’s MCP integration and allows session takeover through predictable session identifier generation.
The Infrastructure Behind the AI Media Revolution In one of the most dramatic valuation surges in recent AI history, multimodal…
