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IBM, Meta form AI Alliance to promote open AI
Meta and IBM launched the new group with more than 50 other organizations to foster an open community that helps accelerate the development of responsible AI systems.
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Transformer neural networks are shaking up AI
Introduced in 2017, transformers were a breakthrough in modeling language that enabled generative AI tools such as ChatGPT. Learn how they work and their uses in enterprise settings.
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AWS customers grapple with generative AI shortfalls
Enterprises fear failing to accommodate technical immaturity, ensure data security and governance, prevent biases built into models, and correct the erroneous responses of LLMs.
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AI-assisted driving here long before autonomous vehicles
An AI-powered driver assist platform from Nauto helps fleet drivers deliver their goods safely. Using voice commands, the system acts as a real-time coach.
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AI Infrastructure News
Microsoft launches custom AI, server chips for Azure
Maia is for AI inferencing, while the Arm-based Cobalt is for general-purpose computing. The chips could compete with AMD, Nvidia and Intel offerings eventually.
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AI Technologies News
Google strikes back at OpenAI with Gemini foundation model
After falling behind, the vendor drew on its AI roots in a bid to outdo OpenAI's GPT with a potent foundation model to inject across its app portfolio and for advanced coding.
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AI Platforms News
AWS intros new GenAI tools for images and model training
The tech giant's new image generator produces realistic images while also providing features for editing. SageMaker HyperPod helps reduce training times for foundation models.
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ML Platforms Evaluate
Supervised vs. unsupervised learning: Experts define the gap
Learn the characteristics of supervised learning, unsupervised learning and semisupervised learning and how they're applied in machine learning projects.
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AI Business Strategies News
IBM, Meta form AI Alliance to promote open AI
Meta and IBM launched the new group with more than 50 other organizations to foster an open community that helps accelerate the development of responsible AI systems.
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Applications of AI News
AWS customers grapple with generative AI shortfalls
Enterprises fear failing to accommodate technical immaturity, ensure data security and governance, prevent biases built into models, and correct the erroneous responses of LLMs.
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Transformer neural networks are shaking up AI
Introduced in 2017, transformers were a breakthrough in modeling language that enabled generative AI tools such as ChatGPT. Learn how they work and their uses in enterprise settings.
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Compare 8 prompt engineering tools
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Microsoft Ignite updates pave the way for GenAI innovation
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AI vs. machine learning vs. deep learning
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Problem Solve
6 ways to reduce different types of bias in machine learning
As adoption of machine learning grows, companies must become data experts or risk results that are inaccurate, unfair or even dangerous. Here's how to combat machine learning bias.
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Expanding explainable AI examples key for the industry
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Migrating to the era of glass box AI
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Discover 2 unsupervised techniques that help categorize data
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Explore real-world examples of AI implementation success
In 'All-In on AI,' authors Davenport and Mittal explore AI implementation examples from organizations that already made the AI leap with success. Read this book excerpt to learn more.
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Tips for planning a machine learning architecture
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Adversarial machine learning: Threats and countermeasures
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Custom generative AI models an emerging path for enterprises
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E-Handbook | August 2020
Machine learning and bias concerns weigh on data scientists
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E-Handbook | November 2019
Data visualization process yields 360 AI-driven analytics view
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E-Handbook | October 2019
Neural network applications in business run wide, fast and deep
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E-Handbook | July 2019
Machine learning platform architecture demands deep analysis
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Buyer's Handbook | June 2019
Pinpoint the right RPA products to advance your organization
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Enterprise Artificial Intelligence Basics
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natural language generation
Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narratives from a data set.
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Compare 8 prompt engineering tools
To get the most out of large language models, developers and other users rely on prompt engineering techniques to achieve their desired output. Review 8 tools that can help.
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adversarial machine learning
Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input.
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AI technologies
Google strikes back at OpenAI with Gemini foundation model
After falling behind, the vendor drew on its AI roots in a bid to outdo OpenAI's GPT with a potent foundation model to inject across its app portfolio and for advanced coding.
-
AI business strategies
IBM, Meta form AI Alliance to promote open AI
Meta and IBM launched the new group with more than 50 other organizations to foster an open community that helps accelerate the development of responsible AI systems.
-
Enterprise applications of AI
AWS customers grapple with generative AI shortfalls
Enterprises fear failing to accommodate technical immaturity, ensure data security and governance, prevent biases built into models, and correct the erroneous responses of LLMs.