Remove 2030 Remove AI Development Remove Explainability
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The hidden climate cost of AI: How tech giants are struggling to go green

AI News

Microsoft revealed that its carbon emissions had surged nearly 30% since 2020, mainly due to the construction and operation of energy-hungry data centres needed to power its AI ambitions. These trends highlight the growing tension between rapid AI development and environmental sustainability in the tech sector.

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AI vs Humans: Stay Relevant or Face the Music

Unite.AI

Job displacement due to automation is a significant concern, with studies projecting up to 39 million Americans losing their jobs by 2030. Likewise, ethical considerations, including bias in AI algorithms and transparency in decision-making, demand multifaceted solutions to ensure fairness and accountability.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. The value of conversational AI According to Allied market research (link resides outside IBM.com), the conversational AI market is projected to reach USD 32.6 billion by 2030.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. The skills gap in gen AI development is a significant hurdle.

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How to choose the best AI platform

IBM Journey to AI blog

AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion to the global economy in 2030, more than the current output of China and India combined.” ” Of this, PwC estimates that “USD 6.6 trillion in value.

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How Alpha Beta Pruning in Artificial Intelligence Works

Pickl AI

By focusing only on promising options, it helps AI systems arrive at better outcomes more quickly. This blog aims to explain how alpha-beta pruning works, highlight its importance in everyday applications, and show why it remains vital in advancing AI.

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How NVIDIA Fuels the AI Revolution With Investments in Game Changers and Market Makers

NVIDIA

AI alone could contribute more than $15 trillion to the global economy by 2030, according to PwC. And if you’re working in AI and accelerated computing right now, NVIDIA stands ready to help. Developers across every industry in every country are building accelerated computing applications.

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