Lifeboat Foundation

This week’s “Heard in the Milky Way” offers audio and video talks and interviews with leading astronomers and astrophysicists that range from Would Data from an Alien Intelligence be Lethal for Us to Neal Stephenson on Sci-Fi, Space, Aliens, AI and the Future of Humanity to Is Alien Life Weirder than We Think, and much more. This new weekly feature, curated by The Daily Galaxy editorial staff, takes you on a journey with stories that change our knowledge of Planet Earth, our Galaxy, and the vast cosmos beyond.

Scientists have given a fascinating new insight into the next steps to develop fast, energy-efficient, future computing systems that use light instead of electrons to process and store information—incorporating hardware inspired directly by the functioning of the human brain.

A team of scientists, including Professor C. David Wright from the University of Exeter, has explored the future potential for computer systems by using photonics in place of conventional electronics.

The article is published today (January 29th 2021) in the prestigious journal Nature Photonics.

Researchers have shown it is possible to perform artificial intelligence using tiny nanomagnets that interact like neurons in the brain.

The new method, developed by a team led by Imperial College London researchers, could slash the energy cost of artificial intelligence (AI), which is currently doubling globally every 3.5 months.

In a paper published today in Nature Nanotechnology, the international team have produced the first proof that networks of nanomagnets can be used to perform AI-like processing. The researchers showed nanomagnets can be used for ‘time-series prediction’ tasks, such as predicting and regulating insulin levels in diabetic patients.

A swarm of 10 bright blue drones lifts off in a bamboo forest in China, then swerves its way between cluttered branches, bushes and over uneven ground as it autonomously navigates the best flight path through the woods.

The experiment, led by scientists at Zhejiang University, evokes scenes from science fiction —and the authors in fact cite films such as “Star Wars,” “Prometheus” and “Blade Runner 2049” in the opening of their paper published Wednesday in the journal Science Robotics.

“Here, we take a step forward (to) such a future,” wrote the team, led by Xin Zhou.

On 7 May 1992, Space Shuttle Endeavour lifted off on her first voyage at 23:40 UTC from Pad-B at the Kennedy Space Center in Florida. Her target: Intelsat VI F-3 (now known as Intelsat 603). The goal: rendezvous with, repair, and re-release the satellite.

In the now-30 years since that mission, on-orbit satellite repair and servicing have largely languished — save for the five Hubble servicing missions Endeavour and the Shuttle fleet would conduct after STS-49.

Continue reading “30 years after Intelsat VI rescue, Northrop Grumman aims to make in-space servicing a permanent reality” »

“We provide a lot of evidence to bolster the case that this is a causal relationship, and it is driven by precisely the industries that are most affected by aging and have opportunities for automating work,”

“For decades, manufacturers in the United States have turned to automation to remain competitive in a global marketplace, but this technological innovation has reduced the number of quality jobs available to adults without a college degree—a group that has faced increased mortality in recent years,”

Full Story:

Continue reading “Research Links Investment In Automation To Rising Mortality Rates” »

Join us on Patreon!
https://www.patreon.com/MichaelLustgartenPhD

Biomarker timestamps:
Glucose 1:37
HDL 2:43
Triglycerides 4:10
RBCs, Hemoglobin 5:29
Platelets 7:16
Uric Acid 8:37
AST, ALT 11:04
Total Cholesterol 13:55
WBCs 15:47
Total Protein, Albumin, Globulin 17:38
Creatinine 21:27
BUN 22:35

Continue reading “Blood Test Analysis: Italian Centenarians” »

They may be the only cars to go more viral than Cybertruck.

Remember that Hyundai concept 4×4 with robotic legs?

Continue reading “Hyundai has kicked-off production on novel 4x4 vehicles with robotic legs” »

Artificial intelligence and machine learning hardware research have concentrated on building photonic synapses and neurons and combining them to do fundamental forms of neural-type processing. However, complex processing methods found in human brains—such as reinforcement learning and dendritic computation—are more challenging to replicate directly in hardware.

A new study contributes to closing the “hardware gap” by creating an “Optomemristor” device that responds to numerous electronic and photonic inputs at the same time. The diverse biophysical mechanisms that govern the functions of the brain’s neurons and synapses allow for complex learning and processing in the mammalian brain.

The chalcogenide thin-film technology interacts with both light and electrical impulses to mimic multifactor biological computations in mammalian brains while spending very little energy.