Interesting article but beware distracting, flickering ads! Machine learning that can explore the world can solve different problems – here’s an intro to the Microsoft services that make it something mainstream developers can use.
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Fortunately, for some classification tasks, you don’t need to label all your training examples. Instead, you can use semi-supervised learning, a machine learning technique that can automate the data-labeling process with a bit of help.
As Workday prepares to release quarterly and 12-month financial results later today, let’s consider its tagline: “Built for the Future.”
it was fascinating to see how Microsoft, Amazon and Workday used their latest earnings calls to highlight their broad efforts with machine learning.
NVIDIA launched fVDB, a deep learning framework demonstrating further use cases of digital twin technology and generative physical AI.
AI accuracy depends on the quality of the data it is fed. Toni Witt explores ways that datasets can be cleaned, or even generated, to make AI better.
The NFL has continued its partnership with AWS to develop tools using AI and machine learning to advance analytics in the sports industry, and AWS’ technology will feature prominently in the Super Bowl.
The top 5 generative AI products to watch feature platforms to build GenAI and machine learning apps, produce content, govern AI, and accelerate automation initiatives.
AI Index Report Ep 21: BlackRock rolls out generative AI copilot tools; Vast raises $118 million for its AI platform for data and cloud; and Alibaba develops animation machine learning model.
Integrating generative AI, natural language prompts, large language models, and machine learning augments the power of customer experience applications.
Databricks recently acquired MosaicML for $1.3 billion, and the combined firms are poised to develop robust machine learning and generative AI capabilities for enterprises.
Machine learning is impacting endpoint security in areas such as enhanced threat detection, false positivity reduction, and the ability to implement proactive security measures.
Workday’s Adaptive Planning platform streamlines corporate finance and leverages the best of artificial intelligence and machine learning capabilities.
The integration of machine learning and AI capabilities in cybersecurity offer opportunities for improved specificity, consistency, and scalability.
In a recent shareholder letter, Amazon CEO Andy Jassy has deemed the company as the leader of machine learning (ML), having more ML customers than any of its competitors.
Workday uses machine learning and artificial intelligence to help companies find qualified candidates during the hiring process, explains Shane Luke, VMachine Learning and AI, Workday.
Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
Wayne Sadin shares takeaways from a recent panel discussion he attended, which covered topics from data management to AI and machine learning bias.
Workday has mapped out 38 “future of work” use cases that leverage artificial intelligence (AI) and machine learning (ML) technologies. Bob Evans reviews the use cases.
Machine learning comes with many benefits for cybersecurity, but cutting-edge bad actors are looking to exploit ML for their own gain. Chris Hughest explains how to fight “adversarial ML.”