Lifeboat Foundation

AI/Humans, our brave now world, happening now.

Are we facing a golden digital age or will robots soon run the world? We need to establish ethical standards in dealing with artificial intelligence — and to answer the question: What still makes us as human beings unique?

Continue reading “Artificial intelligence and its ethics | DW Documentary” »

It’s hard living in a relativistic Universe, where even the nearest stars are so far away and the speed of light is absolute. It is little wonder then why science fiction franchises routinely employ FTL (Faster-than-Light) as a plot device.

Push a button, press a petal, and that fancy drive system – whose workings no one can explain – will send us to another location in space-time.

However, in recent years, the scientific community has become understandably excited and skeptical about claims that a particular concept – the Alcubierre Warp Drive – might actually be feasible.

Honeywell, the same company that might make your humidifier or home security system, is unveiling a powerful quantum computer that will be available to the public.

Computer scientists from Rice, supported by collaborators from Intel, will present their results today at the Austin Convention Center as a part of the machine learning systems conference MLSys.

Many companies are investing heavily in GPUs and other specialized hardware to implement deep learning, a powerful form of artificial intelligence that’s behind digital assistants like Alexa and Siri, facial recognition, product recommendation systems and other technologies. For example, Nvidia, the maker of the industry’s gold-standard Tesla V100 Tensor Core GPUs, recently reported a 41% increase in its fourth quarter revenues compared with the previous year.

Rice researchers created a cost-saving alternative to GPU, an algorithm called “sub-linear deep learning engine” (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware.

Researchers report an advance in the development of a blood test that could help detect pathological Alzheimer’s disease in people who are showing signs of dementia. This approach could be less invasive and less costly than current brain imaging and spinal fluid tests. The blood test detects the abnormal accumulation of a form of tau protein known as phosphorylated-tau-181 (ptau181), which is a biomarker that suggests brain changes from Alzheimer’s. The study, funded by the National Institutes of Health, was published on March 2 in Nature Medicine.

Over the past 15 years, research advances in the development of biomarkers like tau protein have enabled investigators to more accurately diagnose Alzheimer’s disease, select research participants, and measure response to investigational therapies. Tau and other biomarkers can be detected with PET scans of the brain and lab tests of spinal fluid. However, PET imaging is expensive and involves radioactive agents, and spinal fluid tests require spinal taps, which are invasive, complex and time-consuming. Simpler biomarker tests are still needed.

“The considerable time and resources required for screening research participants with PET scans and spinal taps slow the pace of enrollment for Alzheimer’s disease treatment studies,” said Richard J. Hodes, M.D., director of NIH’s National Institute on Aging (NIA), which funded much of the study. “The development of a blood test would enable us to rapidly screen a much larger and more diverse group of volunteers who wish to enroll in studies.”

1️⃣ Genomic Instability 2️⃣ Telomere Attrition 3️⃣ Epigenetic Alterations 4️⃣ Loss of Proteostasis 5️⃣ Nutrient Sensing Goes Awry 6️⃣ Mitochondrial Dysfunction 7️⃣ Cellular Senescence 8️⃣ Stem Cell Exhaustion 9️⃣ Altered Intercellular Communication.

Explore these horsemen and the strategies being deployed to defeat this decline in Chapter 10 — The Future of #Longevity ➡️ futurefasterbook.com

New diagnoses pushed the COVID-19 tally past 100, including six deaths in Washington State. Shoppers across the country have reacted to the news by stocking up at wholesale stores.

Contrary to popular belief, the size of specific brain regions may be less important than how neural hubs connect to create whole-brain networks.

Chinese technology giant Alibaba recently developed an AI system for diagnosing the COVID-19 (coronavirus).

Alibaba’s like Amazon, Microsoft, a video game company, and a nation-wide healthcare network all rolled into one with every branch being fed solutions from the company’s world-class AI department.

Per a report from Nikkei’s Asian Review (h/t TechSpot), Alibaba claims its new system can detect coronavirus in CT scans of patients’ chests with 96% accuracy against viral pneumonia cases. And it only takes 20 seconds for the AI to make a determination – according to the report, humans generally take about 15 minutes to diagnose the illness as there can be upwards of 300 images to evaluate.