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Senate's 'One Big, Beautiful Bill' affects AI, U.S. energy
The massive tax bill passed by the Senate represents a shift in U.S. energy policy and opens a window for Congress to move on a federal AI framework.
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Diverse data, ethical use key to responsible AI engineering
Karen Panetta's engineering journey led her to identify critical bias in facial recognition systems and champion transparent technology that protects human welfare.
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Baidu makes foundation model Ernie 4.5 open source
The China-based AI vendor has contributed to the open source community before. The release of the family of open models highlights the growth of the open source community in GenAI.
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ChatGPT advanced AI, but OpenAI faces hurdles in keeping lead
Model makers disrupted AI, pushing Google to innovate and boosting Microsoft. Yet four years later, enterprises remain loyal to cloud providers, leaving the survival of the startups uncertain.
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AI Infrastructure News
HPE beefs up AI factory-fueled offerings with Nvidia upgrades
The vendor says its upgraded Private Cloud AI will offer a turnkey tool for enterprise, leaning on agentic AI and partnerships with Nvidia and Accenture.
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AI Technologies News
Amazon foundation model for robots shows what's possible
The vendor created the new model with Amazon SageMaker, showing what's possible with the platform and that models do not have to be language models to provide business value.
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AI Platforms News
Baidu makes foundation model Ernie 4.5 open source
The China-based AI vendor has contributed to the open source community before. The release of the family of open models highlights the growth of the open source community in GenAI.
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ML Platforms Problem Solve
Data quality in AI: 9 common issues and best practices
Building a useful, reliable AI system requires trustworthy, well-managed data. Here's how to find and fix data issues that can drag down AI projects.
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AI Business Strategies News
Senate's 'One Big, Beautiful Bill' affects AI, U.S. energy
The massive tax bill passed by the Senate represents a shift in U.S. energy policy and opens a window for Congress to move on a federal AI framework.
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Applications of AI Manage
Generative AI security risks: Best practices for enterprises
Despite its benefits, generative AI poses numerous -- and potentially costly -- security challenges for companies. Review possible threats and best practices to mitigate risks.
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AWS and Deloitte
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Building AI infrastructure with Google and AMD
Google and AMD combine forces to set a new standard in performance and cost efficiency across all your workloads, delivering unmatched computing excellence.
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AI Everywhere
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Claude vs. ChatGPT: How do they compare?
Compare Anthropic's Claude vs. OpenAI's ChatGPT in terms of features, model options, costs, performance and privacy to decide which generative AI tool better suits your needs.
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Hands-on with QuillBot AI: Review and guide
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Does AI-generated code violate open source licenses?
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IBM delivers AI agent orchestration innovations at Think 2025
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Problem Solve
How to use LangChain for LLM application development
LangChain helps developers do more with language models, linking them to tools, APIs and live data to build more capable and dynamic AI applications.
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Get started with Cursor AI: A step-by-step tutorial
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Why does AI hallucinate, and can we prevent it?
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Data quality in AI: 9 common issues and best practices
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Manage
Generative AI security risks: Best practices for enterprises
Despite its benefits, generative AI poses numerous -- and potentially costly -- security challenges for companies. Review possible threats and best practices to mitigate risks.
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What comes after LLMs? The next wave in generative AI
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RAG best practices for enterprise AI teams
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Address top AI privacy concerns with this 7-point checklist
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Enterprise Artificial Intelligence Basics
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Get Started
What is crypto-agility?
Crypto-agility, or cryptographic agility, is the ability of an organization to efficiently and rapidly change cryptographic algorithms, protocols or primitives in response to emerging threats, vulnerabilities or regulatory requirements.
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Get Started
What is automated reasoning? How is it used in AI?
Automated reasoning is the area of computer science concerned with applying reasoning in the form of logic to computing systems.
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Get Started
Best practices for real-world ML deployment
Deploying machine learning models to production is complex, with many potential pitfalls. Use this technical roadmap as a guide to navigate the process effectively.
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AI technologies
Amazon foundation model for robots shows what's possible
The vendor created the new model with Amazon SageMaker, showing what's possible with the platform and that models do not have to be language models to provide business value.
-
AI business strategies
Senate's 'One Big, Beautiful Bill' affects AI, U.S. energy
The massive tax bill passed by the Senate represents a shift in U.S. energy policy and opens a window for Congress to move on a federal AI framework.
-
Artificial intelligence platforms
Baidu makes foundation model Ernie 4.5 open source
The China-based AI vendor has contributed to the open source community before. The release of the family of open models highlights the growth of the open source community in GenAI.
Search Enterprise AI Definitions
- What is crypto-agility?
- What is automated reasoning? How is it used in AI?
- What is intelligent process automation (IPA)?
- What is assistive technology (adaptive technology)?
- What is OpenAI?
- What is neural radiance field (NeRF)?
- What is Gemma? Google's open sourced AI model explained
- What is GenAI? Generative AI explained