Lifeboat Foundation

In the film “Top Gun: Maverick,” Maverick, played by Tom Cruise, is charged with training young pilots to complete a seemingly impossible mission—to fly their jets deep into a rocky canyon, staying so low to the ground they cannot be detected by radar, then rapidly climb out of the canyon at an extreme angle, avoiding the rock walls. Spoiler alert: With Maverick’s help, these human pilots accomplish their mission.

A machine, on the other hand, would struggle to complete the same pulse-pounding task. To an autonomous aircraft, for instance, the most straightforward path toward the target is in conflict with what the machine needs to do to avoid colliding with the canyon walls or staying undetected. Many existing AI methods aren’t able to overcome this conflict, known as the stabilize-avoid problem, and would be unable to reach their goal safely.

Continue reading “A new AI-based approach for controlling autonomous robots” »

The technology was recently demonstrated by the Australian Army, where soldiers operated a Ghost Robotics quadruped robot using the brain-machine interface. Photo supplied by Australian Army. #Graphene

New technology is making mind reading possible with positive implications for the fields of healthcare, aerospace and advanced manufacturing.

Researchers from the University of Technology Sydney (UTS) have developed biosensor technology that will allow you to operate devices, such as robots and machines, solely through thought-control.

Continue reading “Mind-control robots a reality” »

N-ARK

Japanese architectural startup N-ARK may have come up with a concept that could help.

Called TaoPatch, the device has nanocrystals that use body heat to function, but does it really work?

Serbian tennis player Novak Djokovic secured his name in tennis history by winning a record 23rd Grand Slam tournament at the French Open in Paris last night, defeating the Norwegian Casper Ruud in the final.

The win takes him ahead of Spaniard Rafael Nadal (22) and Swiss legend Roger Federer (20) for the most Grand Slam wins ever n the history of the sport.

Artificial Intelligence is breaking new barriers by the day. Hundreds of worshippers at St. Paul’s Church in Fürth, Bavaria, Germany recently attended a service, entirely conducted by AI with the sermon being presented by the AI chatbot ChatGPT.

An hour before the service even began, people formed a long queue outside the 19th-century, neo-Gothic building to witness what the AI could deliver.

The chatbot’s sermon majorly focused on themes surrounding leaving one’s past behind, living in the present, not being afraid of death and maintaining faith in Jesus Christ. Notably, four different AI avatars took turns to impart the sermons and lead the service.

AI, machine learning, and ChatGPT may be relatively new buzzwords in the public domain, but developing a computer that functions like the human brain and nervous system—both hardware and software combined—has been a decades-long challenge. Engineers at the University of Pittsburgh are today exploring how optical “memristors” may be a key to developing neuromorphic computing.

Resistors with memory, or memristors, have already demonstrated their versatility in electronics, with applications as computational circuit elements in neuromorphic computing and compact memory elements in high-density data storage. Their unique design has paved the way for in-memory computing and captured significant interest from scientists and engineers alike.

A new review article published in Nature Photonics, titled “Integrated Optical Memristors,” sheds light on the evolution of this technology—and the work that still needs to be done for it to reach its full potential.

Photosynthesis. The maps elucidate the complex energy transfer process in photosynthesizing bacteria, providing a clear picture of how sunlight energy is channeled from the outer to the inner molecular ring of the light-harvesting complex.

Systems obeying quantum mechanics are notoriously difficult to visualize, but researchers at the University of Illinois Urbana-Champaign have developed an illustration technique that displays quantum features in an easy-to-read diagram called a coherence map. The researchers used these maps to study the quantum mechanisms that underlay photosynthesis, the process by which plants and some bacteria use sunlight to convert carbon dioxide and water into food.

Dr. Ben Goertzel shares his thoughts on where we are at the end of 2021, beginning of 2022 — how progress toward AGI looks in retrospect, and looking into the future — updates on the ecosystem…

And the importance of the SingularityNET Community 🥰
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Continue reading “Ben Goertzel — 2021 Reflection and Update on SNET, Ecosystem and Path to AGI” »

A new research at the intersection of cosmology and neurobiology implies that diverse physical processes lead to similar levels of complexity and self-organization present in structures of scales.

An astrophysicist at the University of Bologna and a neurosurgeon at the University of Verona compared the network of neuronal cells in the human brain with the cosmic network of galaxies and found astounding similarities.

In their paper ‘The quantitative comparison between the neuronal network and the cosmic web’ published in Frontiers in Physics, Franco Vazza, astrophysicist at the University of Bologna, and Alberto Feletti, neurosurgeon at the University of Verona, investigated the similarities between two of the most complex systems in existence: the cosmic web of galactic superclusters and the network of neuronal cells in the human brain.