M2G Ventures Transforms 740k SF Project into Mixed-Use Destination for Industrial, Showroom & Retail By Press release June 27, 2025 ...

Fleet managers are no longer just operating vehicles — they're operating data-driven ecosystems. Here's how artificial intelligence is reshaping strategy, safety, and success.

Tannos Development Group revealed plans last week for a $1 billion mixed-use development that could alter the city of Magnolia, Texas.

This study introduces recent technological advancements that enable the transformation of 2D-ICs into 3D-ICs using shuttle chips from multi-project wafers, ranging from small to large-scale ...

Microsoft unveils multi-agent systems, WhatsApp integration, and Python-powered analytics for Copilot Studio at Build 2025, transforming how enterprises build and deploy AI solutions.

WisdomAI, a new force in enterprise AI, has officially emerged from stealth with $23 million in funding, led by Coatue Ventures alongside Madrona, GTM Capital, and The Anthology Fund. Designed to ...

You can animate images and create dynamic videos using Google's Veo 2 AI model for free. Besides that, Runway lets you turn static images into dynamic videos using its powerful Gen-4 AI model. Finally ...

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

The new proposed project shows a rendering of a two-building redevelopment would be used for residential and retail space.

Transform Projects With Tool Advice!! The ‘Dirty 15’ countries braced for harder hit from Trump’s tariffs as world prepares for ‘Liberation Day’ Largest Animals to Ever Exist on Earth ...

Local stakeholders turned out for a meeting to hear about the neighborhood, why it was chosen and what happens next.  ...

Herein, we introduce an efficient catalytic transfer hydrogenation method using inexpensive, environmentally friendly, and readily available isopropyl alcohol as a hydrogen donor for selectively ...