Many stores have released Black Friday deals early, so if you’re out shopping, experts encourage parents to be aware of the potential risks AI-powered toys may pose for kids.
More swings hit Wall Street, but this time stocks finish higher
More swings hit Wall Street, except it finished higher this time
Google tells employees it must double capacity every 6 months to meet AI demand
Google’s AI infrastructure chief tells staff it needs thousandfold capacity increase in 5 years.
Artificial Intelligence News for the Week of November 21; Updates from Dell, Hammerspace, VAST Data & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of November 21, 2025. Keeping tabs on all the most relevant artificial intelligence…
Engineering faculty drive AI innovation as Ohio University earns top quantum research honor
Russ College of Engineering’s first Workshop on AI in EECS (WISE) was held Aug. 20, and organized by the School of Electrical Engineering and Computer Science. The goal was simple: bring faculty together to take stock of how AI is reshaping education, research, and economic development, and map out how Russ College can lead in this fast-moving field.
Here is the real side of the AI trade to invest in and the speculative side to avoid
We understand the concerns about valuations in the speculative aspects of the AI, but not in the best of the best stocks we own.
Do Not, Under Any Circumstance, Buy Your Kid an AI Toy for Christmas
Somehow worse than screens.
In the News: Manjeet Rege on How AI Fabricated a Viral Clinton-Trump Video – Newsroom | University of St. Thomas
Manjeet Rege explains how a viral video of Donald Trump and Bill Clinton was created using AI and why forensic tools show the clip is not authentic.
Google Exec Claims Company Needs to Double Its AI Serving Capacity 'Every Six Months': Report
The tech giant has made it known that it wants to grow its AI business by leaps and bounds.
Streamline AI operations with the Multi-Provider Generative AI Gateway reference architecture
In this post, we introduce the Multi-Provider Generative AI Gateway reference architecture, which provides guidance for deploying LiteLLM into an AWS environment to streamline the management and governance of production generative AI workloads across multiple model providers. This centralized gateway solution addresses common enterprise challenges including provider fragmentation, decentralized governance, operational complexity, and cost management by offering a unified interface that supports Amazon Bedrock, Amazon SageMaker AI, and external providers while maintaining comprehensive security, monitoring, and control capabilities.