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5 ways IBM helps manufacturers maximize the benefits of generative AI

IBM Big Data Hub

While still in its early stages, generative AI can provide powerful optimization capabilities to manufacturers in the areas that matter most to them: productivity, product quality, efficiency, worker safety and regulatory compliance.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Considering circuitry, both GPUs and FPGAs make effective central processing units (CPUs) , with many available options from manufacturers like NVIDIA or Xilinx designed for compatibility with modern Peripheral Component Interconnect Express (PCIe) standards.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music.

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HID Mercury Access Controller flaws could allow to unlock Doors

Security Affairs

The flaws impact products manufactured by LenelS2, a provider of advanced physical security solutions (i.e. access control, video surveillance and mobile credentialing) owned by HVAC giant Carrier. The experts focused on Carrier’s LenelS2 access control panels, manufactured by HID Mercury. ” reads the advisory.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.

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Elections 2024, artificial intelligence could upset world balances

Security Affairs

An attacker could employ generative AI to forge realistic content, including images, videos, and audio, which can sway public opinion in myriad ways. Fabricated audio and videos concocted swiftly and disseminated ahead of elections could jeopardize a political party or candidate’s reputation.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications. Watsonx comprises of three powerful components: the watsonx.ai