Imagine 50 years from now a Public Intelligence that was a distributed, open-source, non-commercial artificial intelligence, operated like the internet, and available to the whole world. This public ...

Companies worldwide rely on artificial intelligence to automate processes, boost productivity, and optimize output. However, ...

Hon Hai is financially comfortable and has had a net cash position since 2012. We expect its net cash position to persist through 2029, barring any acquisitions, based on our view that Hon Hai should ...

However, in practical scenarios, data is often distributed across multiple clients and frequently manifests non-IID characteristics. Federated Learning (FL) can leverage this distributed data to train ...

Federated Hermes, Inc. is a publicly owned ... investment companies, pension and profit sharing plans, pooled investment vehicles, charitable organizations, state or municipal government entities ...

The FTC sent Microsoft a civil investigative demand late last year asking it to provide data about its AI models, including how training data is obtained and how much it costs to train an AI.

In this case, the App Store remains the sole distribution channel — a model that Apple is determined to protect. It’s clear why Apple wants to restrict third-party apps. According to ...

Abstract: Federated Learning (FL) is a new pivotal paradigm for decentralized training on heterogeneous data. Recently fine-tuning of Vision-Language Models (VLMs) has been extended to the federated ...

Chinese artificial intelligence startup DeepSeek has unveiled data suggesting its V3 and R1 models could achieve a theoretical daily cost-profit ratio of 545%. This revelation has significant ...

The floor of the Frankfurt stock exchange is cleaned as the German share price index DAX graph is displayed on a large screen in Frankfurt, Germany, March 13, 2025. REUTERS/Staff/File photo ...