A research team has developed a sorting process for end-of-life vehicle materials and, using a simulation model, has examined, among other things, what percentage of the plastic used in new cars could come from the recycling of end-of-life vehicles.
Dr. Fei-Fei Li, PhD, is a professor of computer science at Stanford University and a pioneer and expert in artificial intelligence (AI). We discuss how AI can be used safely and effectively to extend human capabilities – not just to search for information but specifically to increase human intelligence and creativity. We also discuss how humans collaborating with AI and robots stand to positively transform human health and one’s experience of life. And we cover what makes AI fundamentally different from human cognition, and why your intuition and unique experiences are not replicable by AI or machines. Both AI enthusiasts and skeptics are sure to benefit from the information and tools Dr. Fei-Fei Li shares in this episode.
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Researchers at Aalto University, together with international partners, have developed the most accurate model yet of how humans read. The new model uses reinforcement learning, a type of AI used in robotics, to explain—and recreate—the choices readers make as they move through text.
“For the first time we’ve used AI methods to understand—not just mimic—how people read,” says Professor Antti Oulasvirta from Aalto University. In a study to be published Monday, Aug. 10, in Nature Human Behaviour, researchers say the model could power smarter augmented reality (AR) displays and tailor complex texts to different readers and everyday situations.
Earlier models learned from large data sets pairing text snippets with eye-tracking data, then mimicked human behavior, but they lacked true understanding of the content and didn’t generalize well across languages or contexts, Oulasvirta explains. In contrast, the new model follows the psychological mechanisms readers use to direct attention, revealing how understanding is built as the eyes move through words, sentences and paragraphs.
From the article — _________________
“Going forward, we can expect politics increasingly to be divided between those to whom the moral decay brought on by generative and agentic AI is incapable of being compensated by any amount of economic growth, and those for whom all humanistic objections seem misguided and irrelevant next to the quest for machine superintelligence. Let us hope that the former prevail.”
Americans do not care for artificial intelligence. Recent polling shows that their attitudes mostly range from ambivalence to horror.
New research from an expert in cancer biology explains what triggers liposarcoma cells to become more or less aggressive and identifies potential targets that could keep aggressive tumors in check. A study led by Blake Wilde, Ph.D., of Roswell Park Comprehensive Cancer Center highlights how this discovery may pave the way for new treatment options for this cancer.
The findings are published in the journal Science Advances.
More than half of all people with liposarcoma will see their cancer return after treatment, underscoring the need for new and better treatment options. The two most common types of this cancer, which begins in fat tissue, are well-differentiated (WD) and dedifferentiated (DD) liposarcoma, explains the study’s first author, Blake Wilde, Ph.D., assistant professor of oncology in the Departments of Urology and Cell Stress Biology at Roswell Park.