There’s just one problem. Well, okay, several.
Presented by Beyond Limits
Conventional, data-crunching artificial intelligence, which is the foundation of deep learning, isn’t enough on its own; the human-like reasoning of symbolic artificial intelligence is fascinating, but on its own, it isn’t enough either.
The unique hybrid combination of the two — numeric data analytics techniques that include statistical analysis, modeling, and machine learning, plus the explainability (and transparency) of symbolic artificial intelligence — is now termed “cognitive AI.”
Existing compound produces pain-relieving effects and relieves anxiety. Past pain research typically has focused upon the spinal cord or the peripheral areas of the nervous system located outside the spinal cord and brain. However, a research team headed by Volker E. Neugebauer, M.D., Ph.D., at the Texas Tech University Health Sciences Center (TTUHSC) School of Medicine recently investigated how some mechanisms in the brain contribute to pain. His study, “Amygdala group II mGluRs Mediate the Inhibitory Effects of Systemic Group II mGluR Activation on Behavior and Spinal Neurons in a Rat Model of Arthritis Pain,” was published recently by the journal Neuropharmacology. Mariacristina Mazzitelli, a TTUHSC research assistant and Ph.D. candidate, is the study’s lead author.
“Our group has been interested in understanding pain mechanisms, and our unique area of expertise is really understanding that changes in the brain contribute to the persistence, intensity and other side effects of pain,” Neugebauer said. “It is not just a sensation that let’s you know where it hurts and how intense the pain feels. It also causes anxiety, impairs quality of life and causes depression. We’re studying the brain because all of those things reside there.”
To better understand what pain-related changes may occur in the brain, and how to normalize those changes, Neugebauer’s study applied an arthritis pain model and focused on the amygdala, which are almond-shaped clusters located deep inside each of the brain’s temporal lobes. The amygdala is part of what is known as the limbic brain, a complex arrangement of nerve cells and networks that control basic survival functions, motivations and emotions like fear and play a central role in disorders like anxiety, addiction and pain.
Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging are valuable tools to measure physiological age, assess the extent of ‘healthy aging’, and potentially predict health span and life span for an individual. Given the complex nature of the aging process, the biomarkers of aging are multilayered and multifaceted. Here, we review the phenotypic and molecular biomarkers of aging. Identifying and using biomarkers of aging to improve human health, prevent age-associated diseases, and extend healthy life span are now facilitated by the fast-growing capacity of multilevel cross-sectional and longitudinal data acquisition, storage, and analysis, particularly for data related to general human populations. Combined with artificial intelligence and machine learning techniques, reliable panels of biomarkers of aging will have tremendous potential to improve human health in aging societies.
Keywords: physiological age, phenotypic, molecular, age-associated diseases, aging process.
Aging is the time-dependent physiological functional decline that affects most living organisms, which is underpinned by alterations within molecular pathways, and is also the most profound risk factor for many non-communicable diseases. To identify biomarkers of aging would, on one hand, facilitate differentiation of people who are of the same chronological age yet have variant aging rates. Quantitative biomarkers of aging could also define a panel of measurements for ‘healthy aging’ and, even further, predict life span. On the other hand, biomarkers of aging could also assist researchers to narrow their research scope to a specific biological facet in their attempts to explain the biological process behind aging or aging-related diseases. Here, we review the phenotypic and molecular biomarkers of aging. Phenotypic biomarkers can be non-invasive, panoramic, and easy to obtain, whereas molecular biomarkers can reflect some of the molecular mechanisms underlying age status.
Elon Musk gave another hint about the Tesla Pickup truck design, which he now calls ‘Cybertruck’. The CEO says that it looks like ‘an armored personnel carrier from the future.’
The CEO shocked some when he said that the Tesla Pickup Truck will have a ‘really futuristic-like cyberpunk Blade Runner’ design without explaining what that meant other than saying that ‘it won’t be for everyone’.
On top of the comments not being clear, Musk didn’t really help anyone when he released a very cryptic teaser image for the pickup truck during the Model Y unveiling earlier this year.
In the sci-fi universe of “Star Trek”, spaceships with warp drives can zoom past the normally impenetrable limit of light speed, or about 186,282 miles per second (299,792 kilometers per second) in a vacuum.
This trouncing of theoretical physics makes reaching alien-rich planets across the galaxy seem like just a convenient TV-commercial-break-length trip away.
But a new animation by the planetary and space scientist James O’Donoghue, who used to work at NASA and is now employed by JAXA (Japan’s national space agency), grounds the warp drives of those fictional spaceships in reality.
On 25 September 2019, Steve Fuller gave a Codex Talk at the Royal Society of London, commemorating the ‘world’s top 50 innovators’ on the 500th anniversary of the death of Leonardo da Vinci. Da Vinci authored the ‘Codex’ in question, which is a notebook of his thoughts, including a drawing of ‘Vitruvian Man’, which begins Fuller’s talk.
The ‘fork in the road for the future of humanity’ refers to transhumanism and posthumanism, which Fuller treats as projecting radically alternative visions for the human condition.
You can watch the sixteen-minute video on YouTube: