Tech Xplore on MSN
Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
New research suggests that modern AI systems, especially large language models, cannot be understood in isolation but must be ...
Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...
Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...
What if you could cut 90% of the tedious, manual work from your AI workflows? Imagine a world where repetitive tasks like model updates, parameter adjustments, and ...
On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...
IT WAS AN eye-opening experiment. In 2023 Apollo Research, an outfit in London that tests artificial-intelligence (AI) systems, instructed OpenAI’s GPT-4, a large language model, to manage a fictional ...
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Water company wasted $200k on bad answers from an AI model – so built its own slop filtering system
Waterline Development, a water desalination startup, is the beneficiary of this legacy of commercial haste. Having tried AI ...
If you are interested in learning in simple terms what AI agents are and what makes them difference to large language models and AI workflows. This quick overview by Jeff Su is definitely worth ...
At HIMSS26, leaders from Emory Healthcare and Mass General Brigham discussed how initiatives like the Healthcare AI Challenge ...
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