Computers can beat humans at sophisticated tasks like the game Go, but can they also drive a car, … [+] speak languages, play soccer, and perform a myriad of other tasks like humans? Here’s what AI can learn from biology.
A few years back, DeepMind’s Demis Hassabis famously prophesized that AI and neuroscience will positively feed into each other in a “virtuous circle.” If realized, this would fundamentally expand our insight into intelligence, both machine and human.
We’ve already seen some proofs of concept, at least in the brain-to-AI direction. For example, memory replay, a biological mechanism that fortifies our memories during sleep, also boosted AI learning when abstractly appropriated into deep learning models. Reinforcement learning, loosely based on our motivation circuits, is now behind some of AI’s most powerful tools.
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Computational biology is the combined application of math, statistics and computer science to solve biology-based problems. Examples of biology problems are: genetics, evolution, cell biology, biochemistry. [1].
Author at The Secrets of the Universe, I am a Biology and Chemistry high school student from Poland. I love writing about conquest and research in space and future possibilities for Humanity and Astrophysics.
Faced with mountains of image and audio data, researchers are turning to artificial intelligence to answer pressing ecological questions.
Claims of a relationship between AI and Neuroscience are more common than ever. They are often used to imply a higher chance of success for a technology. Are these claims true or just a hype?
Mars’ mysterious and unexplored poles may also harbor pockets of biology, says one planetary scientist.
Rare mounds of a crystalline mineral have emerged above the surface of Utah’s Great Salt Lake, where they’re expected to remain just a few months before disappearing again.
Scientists think these mounds may be similar to mineral structures on Mars that could preserve traces of microbes that may have lived in the planet’s saltwater lakes billions of years ago.
#biophotonics #photonics
ONNA, Japan, Jan. 13, 2020 — Scientists at the Okinawa Institute of Science and Technology (OIST) Graduate University have developed a light-based device that can act as a biosensor, detecting biological substances in materials, such as harmful pathogens in food. The scientists said that their tool, an optical microresonator, is 280× more sensitive than current industry-standard biosensors, which can detect only cumulative effects of groups of particles, not individual molecules.
A new study shows drinking low-fat milk—both nonfat and 1% milk—is significantly associated with less aging in adults.
Research on 5,834 U.S. adults by Brigham Young University exercise science professor Larry Tucker, Ph.D., found people who drink low-fat milk experience several years less biological aging than those who drink high-fat (2% and whole) milk.
“It was surprising how strong the difference was,” Tucker said. “If you’re going to drink high-fat milk, you should be aware that doing so is predictive of or related to some significant consequences.”
