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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.

Big Data 341
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Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

Traditionally, organizations have relied on real-world datasuch as images, text, and audioto train AI models. However, as the availability of real-world data reaches its limits , synthetic data is emerging as a critical resource for AI development. This trend is driven by several factors. Efficiency is also a key factor.

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Has AI Taken Over the World? It Already Has

Unite.AI

If a model is trained on flawed, biased, or low-quality data, it will produce unreliable or inaccurate results, regardless of how sophisticated the algorithm is. Just as flawed input data corrupts an AI model, constant exposure to misinformation, biased narratives, or propaganda skews human perception and decision-making.

Robotics 290
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DeepMind Introduces JEST Algorithm: Making AI Model Training Faster, Cheaper, Greener

Unite.AI

Although these advancements have driven significant scientific discoveries, created new business opportunities, and led to industrial growth, they come at a high cost, especially considering the financial and environmental impacts of training these large-scale models. Financial Costs: Training generative AI models is a costly endeavour.

Algorithm 195
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DeepSeek AI and the Global Power Shift: Hype or Reality?

Unite.AI

Developed by a leading Chinese AI research team, DeepSeek AI has emerged as a direct competitor to OpenAI and Google DeepMind, aligning with Chinas vision of becoming the world leader in AI by 2030. The AI race will not be won by the best technology alone but by the country with the most strategic AI deployment.

OpenAI 130
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Blockchain could solve the monopolised AI ecosystem

AI News

This growth is expected to continue at a rapid pace into the last years of the decade, with Statista predicting the $184 billion industry will grow to nearly $900 billion by 2030. As such, several developers around the world are working on solutions that build sustainable AI models, without big tech firms’ prying eye on our personal data.

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Multilingual AI on Google Cloud: The Global Reach of Meta’s Llama 3.1 Models

Unite.AI

According to MarketsandMarkets , the AI market is projected to grow from USD 214.6 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 35.7%. One new advancement in this field is multilingual AI models. Integrated with Google Cloud's Vertex AI , Llama 3.1 billion in 2024 to USD 1339.1 Meta’s Llama 3.1