AI News

AUGUST 20, 2024

Training and running AI programs is resource intensive endeavour, and as things stand, big tech seems to have an upper hand which creates the risk of AI centralisation. Another recent study by Epoch AI confirms this trajectory, with projections showing that it will soon cost billions of dollars to train or run AI programs.

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NVIDIA

JANUARY 6, 2025

As a result, were able to render at incredibly high performance, because AI does a lot less computation. RTX Neural Shaders use small neural networks to improve textures, materials and lighting in real-time gameplay. I have one more thing that I want to show you, Huang said.

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TheSequence

FEBRUARY 27, 2025

In 2016, DeepMind’s AlphaGo victory over a world champion in the complex board game Go stunned the world and raised expectations sky-high. AlphaGo’s success suggested that deep RL techniques, combined with powerful neural networks, could crack problems once thought unattainable.

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NVIDIA

OCTOBER 11, 2024

Researchers at Google, Stanford and New York University began using NVIDIA GPUs to accelerate AI development, achieving performance that previously required supercomputers. His neural network, AlexNet, trained on a million images, crushed the competition, beating handcrafted software written by vision experts.

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Unite.AI

OCTOBER 27, 2023

For example, multimodal generative models of neural networks can produce such images, literary and scientific texts that it is not always possible to distinguish whether they are created by a human or an artificial intelligence system.

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Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. In August 2016, Ines wrote a post on how AI developers could benefit from better tooling and more careful attention to interaction design. We set ourselves ambitious goals this year, and we’re very happy with how we achieved them.

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Viso.ai

DECEMBER 17, 2024

PaddlePaddle had initially been developed for Baidu’s internal operations. After that, this framework has been officially opened to professional communities since 2016. It allows developers and researchers to build, train, and deploy deep learning models intended for industrial-grade applications. Wondering why?

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