Enterprises currently face the challenge of how to adopt and integrate AI and ML into their operations effectively, at scale and with minimum complexity. In tandem, today’s AI workloads have become increasingly advanced and the compute power required to support them has exponentially increased.
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Apply GPU acceleration at the edge with NVIDIA validated QCT servers and NVIDIA EGX Edge Computing Platforms.
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Surging demand for AI drives new research and development centres, expansion of regional offices, and recruitment of key leadership positions.
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The high pace of expansion taking place in the global healthcare industry and adoption of advanced technologies is boosting the market for healthcare AR VR devices. The healthcare industry has shown increasing adoption of AR VR technologies and incorporated these in routine operations.
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Developing a master plan to transform John F. Kennedy International Airport in New York. Replacing...
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Fewer than half of cybersecurity professionals have a plan in place to deal with IoT attacks,...
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Technology advancements and lower costs will result in 20 million smart glass shipments in 2024.
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New research from Thoughtonomy finds that CEOs are now personally driving business case for...
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AI experts at CognitionX and Peltarion release new report on where the value in Deep Learning (DL)...
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Collaboration makes it easier for customers to deploy Internet of Things (IoT) solutions across...
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Micron Technology has introduced what it says is the industry’s first silicon-based...
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Advancements to HPE SimpliVity deliver an AI-driven experience, modernizes data protection and...
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IEEE unveils third annual ‘Generation AI’ global study, illuminating trust millennial parents...
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Traxens, expert in providing high value data and services for the supply chain industry, and...
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IoTopia provides a blueprint for device makers to secure IoT devices and services across all...
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