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AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines

Unite.AI

Unlike traditional computing, AI relies on robust, specialized hardware and parallel processing to handle massive data. What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. AI systems are also becoming more independent.

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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. Potentially, this could open more avenues for new competitors in the inference market.

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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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How to Secure AI Training Data

Unite.AI

In 2023, Microsoft suffered such an incident, accidentally exposing 38 terabytes of private information during an AI research project. AI training datasets may also be vulnerable to more harmful adversarial attacks. Its an attack type known as data poisoning, and AI developers may not notice the effects until its too late.

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AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

AI Weekly

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. politico.eu

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Western Bias in AI: Why Global Perspectives Are Missing

Unite.AI

AI systems are primarily driven by Western languages, cultures, and perspectives, creating a narrow and incomplete world representation. These systems, built on biased datasets and algorithms, fail to reflect the diversity of global populations. Understanding the Roots of AI Bias AI bias is not simply an error or oversight.

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A Must Read: 15 Essential AI Papers for GenAI Developers

Analytics Vidhya

Introduction As the field of artificial intelligence (AI) continues to grow and evolve, it becomes increasingly important for aspiring AI developers to stay updated with the latest research and advancements.