CT tissue images can now be virtually stained in 3D

Rudolf Virchow fundamentally changed medicine when he formulated his cell theory of disease in the 19th century: Diseases do ...
IEEE

Conditional Wasserstein Generative Adversarial Network with W-Net and Wasserstein-L1-SSIM Loss Function for Single Image Dehazing

Abstract: Generative Adversarial Networks (GANs) have been widely used to solve different image translation problems. This article proposes an exploration of the Conditional Wasserstein Generative ...
Law

Protective Orders in the Age of Artificial Intelligence: Safeguarding Confidential Discovery from Unverified AI Platforms and Unauthorized AI Use

Assuming the efficiencies of AI technologies are attractive to your adversary, it is essential to consider expanding protective orders to achieve the sophistication necessary to anticipate and prevent ...
IEEE

Video to Video Generative Adversarial Network for Few-Shot Learning Based on Policy Gradient

Abstract: The development of sophisticated models for video-to-video synthesis has been facilitated by recent advances in deep reinforcement learning (RL) and generative adversarial networks (GANs).
SDxCentral

AT&T Geo Modeler uses generative AI to control network operations

AT&T is using a generative AI system to help control network operations, a move that the carrier said is a step toward greater network autonomy. Raj Savoor, VP of network analytics and automation at ...
Forbes

Beyond Dashboards: Autonomous Network Operations In The Generative AI Era

Generative AI is no longer a promise for the distant future for IT departments. It is on its way to becoming a practical tool that will change the way networks are managed. Traditional network ...
Forbes

AI, Simulation, And The Generative Adversarial Network

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...