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UCSC researchers developed a deep-learning framework called Morpheus to perform pixel-level morphological classifications of objects in astronomical images.

Researchers at UC Santa Cruz have developed a powerful new computer program called Morpheus that can analyze astronomical image data pixel by pixel to identify and classify all of the galaxies and stars in large data sets from astronomy surveys.

Morpheus is a deep-learning framework that incorporates a variety of artificial intelligence technologies developed for applications such as image and speech recognition. Brant Robertson, a professor of astronomy and astrophysics who leads the Computational Astrophysics Research Group at UC Santa Cruz, said the rapidly increasing size of astronomy data sets has made it essential to automate some of the tasks traditionally done by astronomers.

CloudWalk has raised RMB 1.8 billion (US$254 million) in funding from a group of provincial and municipal funds in China to become the fourth most well-funded biometric facial recognition company in the country, according to a report in Chinese-language publication 36Kr covered by its English-language affiliate KrAsia.

CloudWalk intends to launch an IPO on Shanghai’s Star Market by the end of 2020, according to the report. The company has raised a total of RMB 2.8 billion ($400 million) so far.

CloudWalk provides facial recognition for numerous public agencies, including the Bank of China, Shanghai Pudong Airport, and China Mobile’s brick and mortar stores.

NVIDIA announced the Jetson Nano Developer Kit at the 2019 NVIDIA GPU Technology Conference (GTC), a $99 computer available now for embedded designers, researchers, and DIY makers, delivering the power of modern AI in a compact, easy-to-use platform with full software programmability. Jetson Nano delivers 472 GFLOPS of compute performance with a quad-core 64-bit ARM CPU and a 128-core integrated NVIDIA GPU. It also includes 4GB LPDDR4 memory in an efficient, low-power package with 5W/10W power modes and 5V DC input, as shown in figure 1.

CrumplePop RustleRemover AI and Levelmatic Audio Plugins, two plugins for audio cleanup we have a look at how they can clean up audio from anything to unwanted mic noises, to fixing levels in podcasts and interview audio.

CrumplePop makes some very clever and useful plugins for Mac-based editors. These include audio tools to fix and enhance sound and video tools for grading and stabilizing. The company has now announced two new audio plugins, RustleRemover AI and Levelmatic the former aimed at fixing a specific issue, and the latter leveling audio.

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https://youtube.com/user/LifespanIO/videos

SHOW NOTES WITH TIME STAMPS:

:00 CHANNEL TRAILER
:22 Gene The Chromosome intro
:14 José interview begins. Follow José Cordeiro on social media: https://facebook.com/josecordeiro2045 https://linkedin.com/in/josecordeiro/ https://twitter.com/cordeiro https://instagram.com/josecordeiro2019/ https://youtube.com/channel/UCnf2guj8tjfigS3w2UV51Qg
:55 https://raadfest.com/ Watch 2019 RAADFest Roundup https://youtube.com/playlist?list=PLGjySL94COVSO3hcnpZq-jCcgnUQIaALQ
:14 BUY LA MUERTE DE LA MUERTE (THE DEATH OF DEATH)
:20 Transhumanist’s 3 core beliefs
:22 Law of Accelerating Returns
:45 José believes we will cure human aging in the next 2–3 decades
:31 quantum computers
:33 Ray Kurzweil
:02 Longevity Escape Velocity
:56 The Singularity is Nearer
:46 the world is improving overall thanks to science and technology
:35 overpopulation fallacy
:14 Idiocracy
:53 Zero to One
:10 human aging and death is the biggest problem for humanity
:45 José plans to be biologically younger than 30 by 2040–2045
:02 How to convince religious people to believe in science and biorejuvenation
:44 everything is “impossible” until it becomes possible
:44 Artificial General Intelligence (AGI)
:20 José is not afraid of Artificial Intelligence. José is afraid of human stupidity.
:00:20 Brent Nally & Vladimir Trufanov are co-founders of https://levscience.com Watch to learn more https://youtube.com/watch?v=iSGJs4_Qkd8&t=1266s
:01:15 Watch Brent’s interviews with Dr. Alex Zhavoronkov https://youtube.com/watch?v=w5csqq8RAqY & https://youtube.com/watch?v=G5IiEuXHvk8
:02:40 José shares what he believes causes human aging and the best treatments for aging
:09:04 Watch Brent’s interviews with Dr. Aubrey de Grey https://youtube.com/watch?v=TquJyz7tGfk&t=226s & https://youtube.com/watch?v=RWRa6kVKv8o
:11:30 Dr. David Sinclair
:12:01 non-aging related risks for human death
:13:08 Watch Transhumania cryonics video https://youtube.com/watch?v=8arbOJpDTMw
:22:30 We wish everyone incredible health and a long life!
:23:26 first ~3 minutes of Idiocracy https://youtube.com/watch?v=YwZ0ZUy7P3E
:25:55 Gennady Stolyarov II
:30:10 THE LIFE OF LIFE
:32:05 there are many biologically immortal species
:33:02 telomerase gene therapy
:37:38 Viva la Revolución!

Brain injuries can vary greatly in their severity, but assessing the extent of the damage is far from a simple undertaking. Scientists in the UK have developed a new AI algorithm that could help narrow the margin for error, with the ability to detect and categorize different types of brain lesions to gauge the impact of an injury.

One of the tools doctors use to assess brain injuries is a CT scan, which can reveal signs of damage, such as lesions, on the brain. But analyzing these scans to reach a diagnosis is a time-consuming process for radiologists, and given the complex nature of the organ, it can see tell-tale signs often overlooked.

“CT is an incredibly important diagnostic tool, but it’s rarely used quantitatively,” said Professor David Menon, from the University of Cambridge and senior author of the new study. “Often, much of the rich information available in a CT scan is missed, and as researchers, we know that the type, volume and location of a lesion on the brain are important to patient outcomes.”

“A wealth of information creates a poverty of attention,” said Andy McMurray, co-founder and CIO of Medal, an AI-based software company developing tools for health care, during an interview with Healthcare IT News.

This is especially true in the operating room, where surgery teams at the University of Iowa Hospital have reduced surgical site infection by 74% using DASH Analytics’ high-definition care platform (HDCP). This system observes data from the operation in real time and compares it to a patient’s history and its own infection models. Toward the end of the procedure, it automatically provides the surgeon with recommendations to reduce infection during wound closure. Furthermore, it notes whether the surgeon follows its suggestions or not and compares that to the outcome of the patient. This information is then used to both improve its infection model and improve the surgeon’s own performance in future surgeries.

Advances in AI build off of each other. One breakthrough opens the doors for more possibilities in the future, which in turn leads to even more breakthroughs at an exponential rate. Just as the Industrial Revolution automated back-breaking physical labor, the AI Revolution is poised to automate mind-numbing mental labor. Based on what we’ve seen in the last 10 years alone, we can expect to see this boom very soon.

Will we ever live on Mars?


Since the dawn of the Space Age, the planet Mars has been the focus of two ambitious projects. One is the search for life forms native to the planet; the other is human colonization.

For decades, Mars colonization advocates have been promising potential settlers that the time for leaving Earth is nearing. In fact, in terms of producing the actual space hardware—the capability to transport large numbers of passengers into space and the engines and life support to ferry them safely to Mars—we’re not much closer to a Mars colony than we were in 1972, when the last Apollo lunar mission returned to Earth, so don’t sell your house on Earth just yet. On the other hand, we’ve had one mind-blowing discovery after another about Mars as a result of unmanned exploration conducted over the last decades by NASA.

The evidence that the planet is home to microscopic lifeforms—something akin to Earth’s bacteria—has been accumulating slowly, but consistently. While few astrobiologists are ready say that, yes, there’s life there, until we have a photo of microorganisms swimming in the microscope field, that moment is really approaching. And we’ll probably get to it long before the first astronaut boots cast their prints into the Martian surface dust.

Ira Pastor, ideaXme life sciences ambassador and founder of Bioquark, interviews Dr. Robert Hariri, MD, PhD, surgeon, bio-medical scientist and highly successful serial entrepreneur in two technology sectors: bio-medicine and aerospace.

Dr. hariri utilizes biomedicine to aid human longevity:

Dr. Hariri is Chairman, Founder, and CEO, of Celularity, Inc., a clinical-stage cell therapeutics company developing allogeneic cellular therapies, engineered from the postpartum human placenta, in cancer immuno-therapy and functional regeneration, which recently got initial clearance from the U.S. Food and Drug Administration (FDA) to begin early-stage clinical trials on a potential treatment for Covid-19.

Dr. Hariri is also Co-Founder and Vice Chairman, of Human Longevity, Inc., a company merging extensive amounts of human genotype and phenotype data with machine learning, so that it can help develop new ways to fight diseases associated with aging.

Dr. Hariri served as Chairman, Founder, Chief Scientific Officer, and Chief Executive Officer of Celgene Cellular Therapeutics (acquired by Bristol Myers Squibb), one of the world’s largest human cellular therapeutics companies, where he pioneered the use of stem cells to treat a range of life threatening diseases and has made transformative contributions in the field of tissue engineering.

Recognition, Awards and Accolades:

Autonomous driving has been one of the fundamental pillars of Tesla’s push to electrify transport, and by all accounts, the California company is leading the pack in production deployments of autonomous driving technology.

The team of engineers at Tesla working on AI are some of the brightest minds in the space and continue to roll out new, innovative ways of not only processing and interpreting computer vision, but in developing new methods to train its AI. It’s the digital equivalent of building the machine that builds the machine, the virtual equivalent to taking a step up the chain from designing automobiles to designing the manufacturing machines, processes, and systems that build them.

Senior Director of AI at Tesla Andrej Karpathy recently took on the task of frontman for Tesla’s AI team for a day as he presented Tesla’s methods for training its AI at the Scaled ML Conference in February. Along the way, he shared a ton of new updates about the company’s approach to cracking the Full Self Driving nut once and for all.