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 ...
These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Biologists and engineers have joined forces to build a new robot bat that’s helping us understand how real bats use ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
This was the question posed to me last summer by an English professor at a top research university, at a backyard barbecue.
Engine Ventures, led by Katie Rae ’97, backs science-intensive innovation, including clean energy, quantum computing, and ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...
AI could speed up innovation in clean energy by improving solar panels, batteries and carbon-capture systems. In the longer term, it could enable major breakthroughs, including advanced biofuels or ...
Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...
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