AI News

FEBRUARY 21, 2024

billion to the national GDP and help to generate 69,000 jobs from 2026 to 2030. It revolves around four key action points: Extension of AI in public administration: Efforts will be directed towards modernising administrative processes and equipping officials with AI tools to boost efficiency.

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Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

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Unite.AI

JULY 12, 2024

Generative AI is making incredible strides, transforming areas like medicine, education, finance, art, sports, etc. This progress mainly comes from AI's improved ability to learn from larger datasets and build more complex models with billions of parameters. Financial Costs: Training generative AI models is a costly endeavour.

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Aiiot Talk

NOVEMBER 30, 2023

Many companies have little faith they can ensure ethical AI use. According to a survey of developers and industry leaders, around 68% of respondents believe most won’t achieve it by 2030. As its adoption rate increases, so will regulatory oversight and general scrutiny. Truthfully, it’s best to be proactive.

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Unite.AI

JUNE 7, 2024

One example of this can be seen in Thomson Reuters Institute’s recently published 2024 Generative AI in Professional Services report , based on a global survey of 1,128 respondents qualified as being familiar with Generative AI technology.

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IBM Journey to AI blog

DECEMBER 20, 2023

Generative adversarial networks (GANs)— deep learning tool that generates unlabeled data by training two neural networks—are an example of semi-supervised machine learning. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease.

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Unite.AI

APRIL 3, 2024

Furthermore, the proliferation of generative AI applications adds another layer of complexity to the energy equation. Models such as Generative Adversarial Networks (GANs ), utilized for content creation and design, demand extensive training cycles, driving up energy usage in data centers.

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