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Sep 30, 2023

Mental perception bandwidth — FlowCode Lesson #16 / Flow state training

Posted by in categories: computing, neuroscience

Hey and we are back … this is Max Flow and we will get to know more about the information limitations of psyche.

Neurons are living cells with a metabolism; they need oxygen and glucose to survive, and when they’ve been working hard, we experience fatigue. Every status update we read on social media, every tweet or text message we get from a friend, is competing for resources in our brains.

Continue reading “Mental perception bandwidth — FlowCode Lesson #16 / Flow state training” »

Sep 30, 2023

Will AI make us crazy?

Posted by in categories: health, neuroscience, robotics/AI

Coverage of the risks and benefits of AI have paid scant attention to how chatbots might affect public health at a time when depression, suicide, anxiety, and mental illness are epidemic in the United States. But mental health experts and the healthcare industry view AI mostly as a promising tool, rather than a potential threat to mental health.

Sep 30, 2023

The Transformation Of Small Businesses With Cloud

Posted by in category: business

I am the CEO of Sagenext Infotech LLC. I lead the company’s sales, support, and technology front.

Many small businesses are benefiting from adopting cloud technology to their business operations. This technology is becoming more affordable and accessible, and it’s expected to grow into a trillion-dollar industry by 2028. To remain relevant, retain clients and improve growth, small businesses should fully adopt cloud technology.

Small-business cloud transformation involves the use of cloud technology to transition significant areas of a business in order to add benefits offered by the software or technology to the business.

Sep 30, 2023

Meta putting AI in smart glasses, assistants and more

Posted by in categories: augmented reality, mobile phones, robotics/AI, virtual reality

People will laugh and dismiss it and make comparisons to googles clown glasses. But around 2030 Augmented Reality glasses will come out. Basically, it will be a pair of normal looking sunglasses w/ smart phone type features, Ai, AND… VR stuff.


Meta chief Mark Zuckerberg on Wednesday said the tech giant is putting artificial intelligence into digital assistants and smart glasses as it seeks to gain lost ground in the AI race.

Zuckerberg made his announcements at the Connect developers conference at Meta’s headquarters in Silicon Valley, the company’s main annual product event.

Continue reading “Meta putting AI in smart glasses, assistants and more” »

Sep 30, 2023

Beyond Sight: Unraveling the Mysteries of Brain Wiring

Posted by in categories: genetics, neuroscience

Summary: Scientists made a novel discovery using zebrafish with a genetic mutation. These ‘deep-blind’ fish lack connections between the retina and brain yet retain functional brain circuits.

Remarkably, despite their inability to see, direct brain stimulation through optogenetics triggers normal visual behavior. This suggests that much of the zebrafish brain’s wiring is innate and doesn’t rely heavily on visual experience.

Sep 30, 2023

Boston Dynamics Opens First European Office

Posted by in category: engineering

A new Boston Dynamics office in Frankfurt, Germany will provide sales, services, and field engineering support for European customers.

Sep 30, 2023

New method tracks how brain cells age

Posted by in categories: biotech/medical, genetics, life extension, neuroscience, sex

Hospital nurseries routinely place soft bands around the tiny wrists of newborns that hold important identifying information such as name, sex, mother, and birth date. Researchers at Rockefeller University are taking the same approach with newborn brain cells—but these neonates will keep their ID tags for life, so that scientists can track how they grow and mature, as a means for better understanding the brain’s aging process.

As described in a new paper in Cell, the new method developed by Rockefeller geneticist Junyue Cao and his colleagues is called TrackerSci (pronounced “sky”). This low-cost, high-throughput approach has already revealed that while newborn cells continue to be produced through life, the kinds of cells being produced greatly vary in different ages. This groundbreaking work, led by co-first authors Ziyu Lu and Melissa Zhang from Cao’s lab, promises to influence not only the study of the brain but also broader aspects of aging and disease across the human body.

“The cell is the basic functional unit of our body, so changes to the cell essentially underlie virtually every disease and the aging process,” says Cao, head of the Laboratory of Single-Cell Genomics and Population Dynamics. “If we can systematically characterize the different cells and their dynamics using this novel technique, we may get a panoramic view of the mechanisms of many diseases and the enigma of aging.”

Sep 30, 2023

Reactivation of Early-Life Stress-Sensitive Neuronal Ensembles Contributes to Lifelong Stress Hypersensitivity

Posted by in categories: genetics, neuroscience

Early-life stress (ELS) is one of the strongest lifetime risk factors for depression, anxiety, suicide, and other psychiatric disorders, particularly after facing additional stressful events later in life. Human and animal studies demonstrate that ELS sensitizes individuals to subsequent stress. However, the neurobiological basis of such stress sensitization remains largely unexplored. We hypothesized that ELS-induced stress sensitization would be detectable at the level of neuronal ensembles, such that cells activated by ELS would be more reactive to adult stress. To test this, we leveraged transgenic mice to genetically tag, track, and manipulate experience-activated neurons. We found that in both male and female mice, ELS-activated neurons within the nucleus accumbens (NAc), and to a lesser extent the medial prefrontal cortex, were preferentially reactivated by adult stress. To test whether reactivation of ELS-activated ensembles in the NAc contributes to stress hypersensitivity, we expressed hM4Dis receptor in control or ELS-activated neurons of pups and chemogenetically inhibited their activity during experience of adult stress. Inhibition of ELS-activated NAc neurons, but not control-tagged neurons, ameliorated social avoidance behavior following chronic social defeat stress in males. These data provide evidence that ELS-induced stress hypersensitivity is encoded at the level of corticolimbic neuronal ensembles.

SIGNIFICANCE STATEMENT Early-life stress enhances sensitivity to stress later in life, yet the mechanisms of such stress sensitization are largely unknown. Here, we show that neuronal ensembles in corticolimbic brain regions remain hypersensitive to stress across the life span, and quieting these ensembles during experience of adult stress rescues stress hypersensitivity.

Sep 30, 2023

Tim Cook confirms Apple is researching ChatGPT-style AI

Posted by in categories: employment, robotics/AI

Apple CEO Tim Cook has told UK press that the company is “of course” working on generative AI, and that he expects to hire more Artificial intelligence staff in that country.

Just hours after Apple put a spotlight on how it supports over half a million jobs in the UK, Tim Cook has been talking about increasing that by hiring more staff working in AI.

According to London’s Evening Standard, Cook was asked by the PA news agency about AI and hiring in the UK. Cook said: “We’re hiring in that area, yes, and so I do expecting [recruitment] to increase.”

Sep 30, 2023

Autonomous Racing Drones Are Starting To Beat Human Pilots

Posted by in categories: drones, mapping, robotics/AI

Even with all the technological advancements in recent years, autonomous systems have never been able to keep up with top-level human racing drone pilots. However, it looks like that gap has been closed with Swift – an autonomous system developed by the University of Zurich’s Robotics and Perception Group.

Previous research projects have come close, but they relied on optical motion capture settings in a tightly controlled environment. In contrast, Swift is completely independent of remote inputs and utilizes only an onboard computer, IMU, and camera for real-time for navigation and control. It does however require a pretrained machine learning model for the specific track, which maps the drone’s estimated position/velocity/orientation directly to control inputs. The details of how the system works is well explained in the video after the break.

The paper linked above contains a few more interesting details. Swift was able to win 60% of the time, and it’s lap times were significantly more consistent than those of the human pilots. While human pilots were often faster on certain sections of the course, Swift was faster overall. It picked more efficient trajectories over multiple gates, where the human pilots seemed to plan one gate in advance at most. On the other hand human pilots could recover quickly from a minor crash, where Swift did not include crash recovery.