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The ongoing AI revolution is reshaping the world, one algorithm at a time

AI News

trillion to the global economy by 2030. Simplifying everyday life with AI With the global tech landscape having transformed over the last couple of years, we are now at a point where AI is starting to automate various mundane and time-consuming everyday tasks. Interesting times are ahead!

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AI in 2025: Purpose-driven models, human integration, and more

AI News

With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. The solutions? Mobile devices and wearables will be at the forefront of this transformation, delivering seamless AI-driven experiences.

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Artificial Super Intelligence: Preparing for the Future of Human-Technology Collaboration

Unite.AI

According to Goldman Sachs , up to 300 million full-time jobs globally could be lost due to AI automation by 2030. For instance, predictive policing algorithms used by law enforcement can disproportionately impact marginalized communities due to biases in data collection.

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From Internet of Things to Internet of Everything: The Convergence of AI & 6G for Connected Intelligence

Unite.AI

trillion by 2030. billion by 2030, compared to $928.11 Automation across sectors powered by AI and 6G will increase operational productivity, lower expenses, and increase production. It refers to a digitally connected universe built on smart devices like fitness trackers, home voice assistants, smart thermostats, etc.

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The market size in the AI market is projected to reach $184bn in 2024

AI News

65 AI experts were asked to predict what everyday tasks will become automated within the next five to ten years. However, the biggest task that is likely to become more automated is grocery shopping. However, that is a small fry compared to forecasts for 2030. It is AI that enables this functionality.

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Securely running AI algorithms for 100,000 users on private data

Flipboard

With the growing demand for healthcare services, the global economy is projected to need an additional 14 million healthcare workers by 2030 based on a report by the World Health Organization (WHO). Validating AI algorithms performance through benchmarking is a critical step before they can be integrated into clinical practice.

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CUDA Accelerated: How CUDA Libraries Bolster Cybersecurity With AI

NVIDIA

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. Automation at scale : Businesses can automate repetitive security tasks such as log analysis or vulnerability scanning, freeing up human resources for strategic initiatives.

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