Remove AI Modeling Remove AI Researcher Remove Neural Network
article thumbnail

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).

article thumbnail

Neural Networks Achieve Human-Like Language Generalization

Unite.AI

In the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a significant milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. ” Yet, this intrinsic human ability has been a challenging frontier for AI.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI trends in 2023: Graph Neural Networks

AssemblyAI

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? What is the current role of GNNs in the broader AI research landscape?

article thumbnail

Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End

Flipboard

This, more or less, is the line being taken by AI researchers in a recent survey. The premise that AI could be indefinitely improved by scaling was always on shaky ground. You can only throw so much money at a problem. Of course, the writing had been on the wall before that.

article thumbnail

Are AI Models Becoming Commodities?

Unite.AI

Microsoft CEO Satya Nadella recently sparked debate by suggesting that advanced AI models are on the path to commoditization. On a podcast, Nadella observed that foundational models are becoming increasingly similar and widely available, to the point where models by themselves are not sufficient for a lasting competitive edge.

article thumbnail

Why Do Neural Networks Hallucinate (And What Are Experts Doing About It)?

Towards AI

They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools. link] So, why do these models, which seem so advanced, get things so wrong?

article thumbnail

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

Unite.AI

This rapid acceleration brings us closer to a pivotal moment known as the AI singularitythe point at which AI surpasses human intelligence and begins an unstoppable cycle of self-improvement. However, AI is overcoming these limitations not by making smaller transistors but by changing how computation works.