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CNN vs. GAN: How are they different?
Convolutional neural networks and generative adversarial networks are both deep learning models but differ in how they work and are used. Learn the ins and outs of CNNs and GANs.
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Generative AI ethics: 11 biggest concerns and risks
As adoption and use cases grow, generative AI is upending business models and driving ethical issues such as misinformation, brand integrity and job displacement to the forefront.
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12 top resources to build an ethical AI framework
Examine the standards, tools and techniques available to help navigate the nuances and complexities in establishing a generative AI ethics framework that supports responsible AI.
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Compare AI agents vs. RPA: Key differences and overlap
Choosing the right automation strategy isn't just about efficiency -- businesses need to consider adaptability and reliability too.
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AI Infrastructure News
Nvidia reports strong Q4, prepares for new AI GPUs
Nvidia's revenue soared 78% to $39.3 billon, driven by strong AI GPU demand. With Blackwell's success, a more powerful variant launches later this year.
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AI Technologies Evaluate
Compare AI agents vs. RPA: Key differences and overlap
Choosing the right automation strategy isn't just about efficiency -- businesses need to consider adaptability and reliability too.
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AI Platforms Evaluate
The top AIOps tools and platforms to consider in 2025
As AIOps approaches become more common among IT teams, the AIOps tools and platforms market has expanded. Compare leading options to decide which fits your needs.
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ML Platforms Evaluate
GPT-3.5 vs. GPT-4: Biggest differences to consider
GPT-3.5 or GPT-4? With multiple OpenAI language models to choose from, picking the right option for your organization's needs comes down to the details.
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AI Business Strategies News
Apple and the bullish AI investment trend
The iPhone maker's plans have been in the works for a while, but they speak to a larger trend in spending on technology internationally and in the U.S.
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Applications of AI Evaluate
Small language models are taking the spotlight
An industry analyst shares his perspective on why larger models aren't always better for enterprises.
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Business Applications
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AWS for Software Companies
Join thousands of software companies who trust AWS to power their rapid and secure growth through cloud services that can help you scale fast and innovate.
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Cloud
Get More Out of Your Cloud
Learn how Google and Intel can help you extract more value from cloud infrastructure.
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Find Solutions For Your Project
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Compare AI agents vs. RPA: Key differences and overlap
Choosing the right automation strategy isn't just about efficiency -- businesses need to consider adaptability and reliability too.
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Gemini vs. ChatGPT: What's the difference?
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The top AIOps tools and platforms to consider in 2025
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Small language models are taking the spotlight
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Problem Solve
How bad is generative AI data leakage and how can you stop it?
Mismanaged training data, weak models, prompt injection attacks can all lead to data leakage in GenAI, with serious costs for companies. The good news? Risks can be mitigated.
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6 ways to reduce different types of bias in machine learning
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A short guide to managing generative AI hallucinations
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What companies are getting wrong about AI
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How to enhance OSINT investigations using AI
As the amount of data publicly available online continues to grow, AI-driven tools are becoming indispensable companions for intelligence gathering and analysis.
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GPT-3.5 vs. GPT-4: Biggest differences to consider
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How to audit AI systems for transparency and compliance
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8 generative AI challenges that businesses should consider
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Enterprise Artificial Intelligence Basics
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Get Started
What are diffusion models?
Diffusion models are a category of generative AI that excels at creating images, audio, video and other types of data by using a two-step process: forward diffusion and reverse diffusion.
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Get Started
How to enhance OSINT investigations using AI
As the amount of data publicly available online continues to grow, AI-driven tools are becoming indispensable companions for intelligence gathering and analysis.
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Get Started
What is an autoregressive model?
An autoregressive model is a category of machine learning models in which algorithms predict future data based on a series of their own past data.
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AI technologies
OpenAI GPT-4.5, Alexa+ and the move to wiser AI systems
With GPT-4.5 and Alexa+, generative AI systems are moving beyond just being LLM chatbots. Instead, they incorporate better human understanding and can perform tasks for humans.
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AI infrastructure
Nvidia reports strong Q4, prepares for new AI GPUs
Nvidia's revenue soared 78% to $39.3 billon, driven by strong AI GPU demand. With Blackwell's success, a more powerful variant launches later this year.
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AI infrastructure
Cisco, Nvidia expand AI infrastructure partnership
The broader Nvidia-Cisco partnership includes Cisco building systems that combine its OS with Nvidia's Ethernet technologies for optimized AI performance.
Search Enterprise AI Definitions
- What are diffusion models?
- What is an autoregressive model?
- What is a Kolmogorov-Arnold Network?
- What is GPT-3? Everything you need to know
- What is a variational autoencoder (VAE)?
- What is cognitive bias?
- What is prompt chaining? Definition and benefits
- What are vision language models (VLMs)?