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New 'Liquid' AI Learns Continuously From Its Experience of the World

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For all its comparisons to the human brain, AI still isn’t much like us. Maybe that’s alright. In the animal kingdom, brains come in all shapes and sizes. So, in a new machine learning approach, engineers did away with the human brain and all its beautiful complexity turning instead to the brain of a lowly worm for inspiration.
Turns out, simplicity has its benefits. The resulting neural network is efficient, transparent, and here’s the kicker: It’s a lifelong learner.
Whereas most machine learning algorithms can’t hone their skills beyond an initial training period, the researchers say the new approach, called a liquid neural network, has a kind of built-in “neuroplasticity.” That is, as it goes about its work say, in the future, maybe driving a car or directing a robot it can learn from experience and adjust its connections on the fly. ....

Ramin Hasani , Mathias Lechner , Austria Institute Of Science , ராமின் ஹசானி , மத்தியாஸ் லெக்நர் , ஆஸ்ட்ரியா நிறுவனம் ஆஃப் அறிவியல் ,

"Liquid" machine-learning system adapts to changing conditions | MIT News | Massachusetts Institute of Technology

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Image: Jose-Luis Olivares, MIT
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MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying equations to continuously adapt to new data inputs. The advance could aid decision making based on data streams that change over time, including those involved in medical diagnosis and autonomous driving.
“This is a way forward for the future of robot control, natural language processing, video processing any form of time series data processing,” says Ramin Hasani, the study’s lead author. “The potential is really significant.” ....

Radu Grosu , Ramin Hasani , Daniela Rus , Alexander Amini , Mathias Lechner , Artificial Intelligence Laboratory , Vienna University Of Technology , Technology Austria , Institute Of Science , National Science Foundation , Austrian Science Fund , Erna Viterbi Professor , Electrical Engineering , Computer Science , Vienna University , Electronic Components , Time Series Analysis , Liquid Network , ராமின் ஹசானி , டேனீலா ரஸ் , அலெக்சாண்டர் அமினி , மத்தியாஸ் லெக்நர் , செயற்கை உளவுத்துறை ஆய்வகம் , வியன்னா பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் , தொழில்நுட்பம் ஆஸ்ட்ரியா , நிறுவனம் ஆஃப் அறிவியல் ,