Some California police departments are already using AI tools to help draft reports – and experts are concerned

AI tools have evolved and today they can generate completely new texts, codes, images, and videos. ChatGPT, within a short period, has emerged as a leading exemplar of generative artificial intelligence systems.

Stable Diffusion (SD) is a Generative AI model that uses latent diffusion to generate stunning images. This deep learning model can generate high-quality images from text descriptions, other images, and even more capabilities, revolutionizing the way artists and creators approach image creation. Despite its powerful capabilities, learning to use Stable Diffusion effectively can have a steep learning curve.

The Magic of AI Art: Understanding Neural Style Transfer

What Does it Mean to Have “Humans-in-the-Loop?”

AI Licenses: What You Should Know [Updated 2025]

AI Emotion Recognition and Sentiment Analysis (2025)

Decentralized AI Models: Merging AI with Blockchain

Stanford University and panel researchers P. Stone and R. Brooks et al. (2016) created the report “One Hundred Year Study on Artificial Intelligence (AI100)”. The study panel summarized the current progress and envisioned future advancements in the areas of AI and home robots as follows:

The explosive growth of the Internet of Things (IoT) is responsible for the interconnection of billions of devices. These devices generate massive amounts of data at the network edge. The collection of massive volumes of data in cloud data centers incurs extremely high latency and network bandwidth usage. Thus, requiring AI-edge technology.

In 2022 E. Musk presented the latest prototype of the Tesla bot humanoid robot. It belongs to a new class of humanoid robots that are applicable in homes and factories. A lot of startups around the real world are developing Artificial Intelligence (AI)-based robots with different purposes, and they mainly focus on social interaction.

Why wait nine months? Artificial intelligence will give you pictures in seconds.

"I wish I had a sort of simple recipe that if you do this, everything’s going to be okay. But I don’t."

40+ Cool AI Tools You Should Check Out

The automotive industry has undergone an impressive transformation, evolving from its traditional mechanical roots into a realm dominated by sophisticated, software-driven vehicles. This blog explores the background of these changes, the industry's current state, its challenges, and how AI is already revolutionizing the driving experience and beyond.

Jasper's AI article rewriter tools are the best in the game. Find out why, plus see which 5 other tools we'd recommend.

In an effort to protect revenue, even the largest global systemically important financial institutions (G-SIFIs) are investing in their systems and teams to offer exceptional and seamless customer service across all channels. In my role at Snorkel AI, I recently had the pleasure of working on a project with one of the largest U.S. financial institutions to revolutionize how their call centers, perhaps the most information-rich channel, are informing customer experience management.

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.

Learn how synthetic image models can address data drift and improve a computer vision model's accuracy in unexpected conditions.

Celebrate Taylor Swift's The Eras Tour with lyrics generated with Gretel GPT, our synthetic language model.

Gretel's latest open synthetic dataset aims to enhance LLM interactions and contributes to the popular 'awesome-chatGPT-prompts' GitHub repository. Published byMaarten Van Segbroeck

Gretel Navigator’s synthetic data generation outperformed OpenAI's GPT-4 by 25.6%, surpassed Llama3-70b by 48.1%, and exceeded human expert-curated data by 73.6%.

Gretel's synthetic GSM8k dataset shows an 84% improvement for AI Reasoning tasks vs synthetic data generated without reflection.

OpenAI’s launch of GPT-4o marks a significant milestone in the evolution of artificial intelligence technology. This new model, introduced in May 2024, builds on the foundations of its predecessors by integrating advanced multimodal capabilities that promise to revolutionize how we interact with machines.

With just a few weeks left until AI Fest, we’re sharing more information about some of the sessions. Take a look at what’s in store!