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Rethinking Scaling Laws in AI Development

Unite.AI

Despite these challenges, the findings offer a clear opportunity to refine AI development practices. By incorporating precision as a core consideration, researchers can optimize compute budgets and avoid wasteful overuse of resources, paving the way for more sustainable and efficient AI systems.

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Ericsson launches Cognitive Labs to pioneer telecoms AI research

AI News

MLR Lab (Machine Learning and Reasoning Lab): Focusing on training model optimisation and reinforcement learning, this lab aims to advance energy-efficient training for AI models and support the creation of digital twins that simulate physical realities.

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The exponential expenses of AI development

AI News

This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.

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Elon Musk’s AI Paradox: Investing in AI Research After Calling for Pause

Analytics Vidhya

Two weeks ago, Musk and other tech titans and academics, such as Apple co-founder Steve Wozniak, signed a letter stating that AI development and systems with human-competitive intelligence pose significant risks to […] The post Elon Musk’s AI Paradox: Investing in AI Research After Calling for Pause appeared first on Analytics Vidhya.

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Mira Murati Launches Thinking Machines Lab: The Next Big AI Challenger

Unite.AI

With a handpicked team of elite AI researchers and engineersincluding key figures from OpenAI, Character.ai, and Google DeepMindMurati is positioning her new company as the next major player in the AI revolution, alongside OpenAI, and Anthropic.

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New AI training techniques aim to overcome current challenges

AI News

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. New techniques may impact Nvidia’s market position, forcing the company to adapt its products to meet the evolving AI hardware demand.

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The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them

Towards AI

Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!