How sure is sure? Incorporating human error into machine learning
Researchers are developing a way to incorporate one of the most human of characteristics—uncertainty—into machine learning systems.
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Researchers are developing a way to incorporate one of the most human of characteristics—uncertainty—into machine learning systems.
When OpenAI added the GPTBot support page, it also introduced a way to block the service from scraping your website through robots.txt files.Read More
New research shows that electrical stimuli passed between neighboring electrodes can also affect non-neighboring electrodes. Known as non-locality, this discovery is a crucial milestone toward creating brain-like computers with minimal energy requirements.
Social media companies are increasingly using complex algorithms and artificial intelligence to detect offensive behavior online.
Zoom is facing severe backlash for changes it quietly made to its Terms of Service (TOS) back in March related to AI — raising new questions about customer privacy, choice and trust.Read More
Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught …
Read more “Self-supervised AI learns physics to reconstruct microscopic images from holograms”
Soon after Russian troops invaded Ukraine in February 2022, sensors in the Chernobyl Exclusion Zone reported radiation spikes. A researcher now believes he’s found evidence the data was manipulated.
An AI-infused future has tremendous promise in virtually all aspects of our lives from medicine to education, industry to finance.
AI is something to be learned, tested and incorporated into practices so programmers can focus on understanding and solving problems.Read More
Since the advent of OpenAI’s ChatGPT, large language models (LLMs) have become significantly popular. These models, trained on vast amounts of data, can answer written user queries in strikingly human-like ways, rapidly generating definitions to specific terms, text summaries, context-specific suggestions, diet plans, and much more.