Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...
We have built financial systems that exceed human comprehension, then dressed them in the language of transparency. The ...
How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at ...
A high-resolution groundwater map shows how underground water varies across the U.S., with new insights for agriculture and ...
Discover the future of media buying with Agentic Advertising. We analyze the "two tracks" of development: containerized ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
The Walrus on MSN
When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real?
AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.
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