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Ericsson launches Cognitive Labs to pioneer telecoms AI research

AI News

Ericsson has launched Cognitive Labs, a research-driven initiative dedicated to advancing AI for telecoms. Operating virtually rather than from a single physical base, Cognitive Labs will explore AI technologies such as Graph Neural Networks (GNNs), Active Learning, and Large-Scale Language Models (LLMs).

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Google’s AI Co-Scientist vs. OpenAI’s Deep Research vs. Perplexity’s Deep Research: A Comparison of AI Research Agents

Unite.AI

Rapid advancements in AI have brought about the emergence of AI research agentstools designed to assist researchers by handling vast amounts of data, automating repetitive tasks, and even generating novel ideas. The agent can parse complex research papers and distill them into actionable insights.

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

Unite.AI

One of the brightest minds in artificial intelligence, Mira Murati , has officially launched her next ambitious venture: Thinking Machines Lab. But behind the scenes, she was meticulously assembling a powerhouse team dedicated to advancing AI in a way that prioritizes understanding, customization, and general capability.

OpenAI 281
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LAION AI Unveils LAION-DISCO-12M: Enabling Machine Learning Research in Foundation Models with 12 Million YouTube Audio Links and Metadata

Marktechpost

The machine learning community faces a significant challenge in audio and music applications: the lack of a diverse, open, and large-scale dataset that researchers can freely access for developing foundation models. Check out the Details and Dataset on Hugging Face.

Metadata 113
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Could Alibaba’s Qwen AI power the next generation of iPhones in China?

AI News

Apple’s aim to integrate Qwen AI into Chinese iPhones has taken a significant step forward, with sources indicating a potential partnership between the Cupertino giant and Alibaba Group Holding. The development could reshape how AI features are implemented in one of the world’s most regulated tech markets.

Big Data 246
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How to Secure AI Training Data

Unite.AI

Artificial intelligence (AI) needs data and a lot of it. The vast size of AI training datasets and the impact of the AI models invite attention from cybercriminals. The vast size of AI training datasets and the impact of the AI models invite attention from cybercriminals. Securing it, however, is another matter.

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

Unite.AI

Meanwhile, AI computing power rapidly increases, far outpacing Moore's Law. Unlike traditional computing, AI relies on robust, specialized hardware and parallel processing to handle massive data. If this happens, humanity will enter a new era where AI drives innovation, reshapes industries, and possibly surpasses human control.