Touched by AI: Competitive intelligence culls new data insights
Competitive intelligence algorithms combine historical and real-time data with machine learning to predict trends and optimize pricing.Read More
Competitive intelligence algorithms combine historical and real-time data with machine learning to predict trends and optimize pricing.Read More
The Securities and Exchange Commission launched enforcement actions against some of the industry’s major players, raising questions over crypto’s future.
Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it’s critical that humans know when to trust a model’s predictions.
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A deep learning model is a mathematical abstraction of data, in which a lot of parameters are involved. Training these parameters can take hours, days, and even weeks but afterward, you can make use of the result to apply on new data. This is called inference in machine learning. It is important to know how …
Humans can’t scale and narrow AI can’t “think,” so neither is suitable to address cognitive bias. But scalable human-like intelligence can.Read More
The roads and parks are calling. Our favorite cold-weather picks will have you jogging in no time.
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Take a look at the landscape of large language models (LLMs) today, and how they could enable us to achieve more than we thought possible.Read More
These are our favorite portable speakers of all shapes and sizes, from clip-ons to a massive boom box.