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Big scientific breakthroughs often require inventions at the smallest scale. Advances in tissue engineering that can replace hearts and lungs will require the fabrication of artificial tissues that allow for the flow of blood through passages that are no thicker than a strand of hair. Similarly, miniature softbotic (soft-robot) devices that physically interact with humans safely and comfortably will demand the manufacture of components with complex networks of small liquid and airflow channels.
Advances in 3D printing are making it possible to produce such tiny structures. But for those applications that require very small, smooth, internal channels in specific complex geometries, challenges remain. 3D printing of these geometries using traditional processes requires the use of support structures that are difficult to remove after printing. Printing these models using layer-based methods at a high resolution takes a long time and compromises geometric accuracy.
Researchers at Carnegie Mellon University have developed a high-speed, reproducible fabrication method that turns the 3D printing process “inside out.” They developed an approach to 3D print ice structures that can be used to create sacrificial templates that later form the conduits and other open features inside fabricated parts.
The world’s first portable brain computer interface (BCI) is being developed by Blackrock and University of Pittsburgh so patients can undergo research trials at home. Rapid Robotics releases fastest and easiest robotic arm setup in requiring no code at all. New AI using light performs 1,000x faster at classifying data.
AI News Timestamps:
0:00 First Portable Brain Computer Interface.
2:29 Rapid Robotics Fastest Robot Arm Setup.
5:03 New AI Using Light Is 1,000x Faster.
👉 Crypto AI News: https://www.youtube.com/c/CryptoAINews/videos.
#ai #robot #news
Reaching the golden years doesn’t always feel so golden. Growing older introduces a range of health challenges, including being at increased risk for developing chronic diseases and having reduced immunity to infection. But while scientists have traditionally viewed the unpleasant aspects of aging as inevitable, new research could reveal how to substantially delay aging and improve the health of older individuals.
Chronic inflammation, one of the major hallmarks of aging, is thought to be partly caused by senescent cells that may accumulate in older individuals. Now, Yale researchers have received a grant [U54-AG079759] from the National Institutes of Health (NIH) Common Fund’s Cellular Senescence Network Program (SenNet) to study these specialized cells. The grant will further scientists’ knowledge of the mechanisms behind aging and potential therapies for dampening inflammation associated with old age. The SenNet is based on ‘Geroscience,’ an approach that intersects basic aging biology, chronic disease, and health to understand the cellular mechanisms that make aging a major risk factor for common chronic conditions of older people. Support by the NIH Common Fund shows the NIH’s commitment to Geroscience as a complex, high priority topic in biomedical research.
“A number of diseases that increase in older people may have a unifying underlying mechanism having to do with senescence,” says Ruth Montgomery, PhD, professor of medicine and of epidemiology (microbial diseases), and co-PI of the project. “If we are able to understand and address this, we may be able to reduce the incidence of a number of diseases, including cancers and heart diseases.”
Discussion panel with:
- Swati Chavda, a science fiction writer and former brain surgeon.
- Ron S. Friedman, a science fiction writer and an Information Technologies Specialist.
August 13th 2022, When Words Collide festival.
#booktube #authortube #writingtube #braincomputerinterface #neuralink.
Relevant links:
Cas13 variants with minimal collateral effect are expected to be more competitive for in vivo RNA editing and future therapeutic applications, researchers claim.
Scientists from the Chinese Academy of Sciences (CAS) have allegedly developed a new “controllable, reversible and safer” gene-editing approach using CRISPR technology.
The system, named Cas13D-N2V8, showed a significant reduction in the number of off-target genes and no detectable collateral damage in cell lines and somatic cells, which indicated its future potential, according to a report published in South China Morning Post newspaper on Wednesday.
Researchers from the Chinese Academy of Sciences say their technology uses an enzyme that targets RNA and has more short-lived effects.
If the combination of Covid-19 and remote work technologies like Zoom have undercut the role of cities in economic life, what might an even more robust technology like the metaverse do? Will it finally be the big upheaval that obliterates the role of cities and density? To paraphrase Airbnb CEO Brian Chesky: The place to be was Silicon Valley. It feels like now the place to be is the internet.
The simple answer is no, and for a basic reason. Wave after wave of technological innovation — the telegraph, the streetcar, the telephone, the car, the airplane, the internet, and more — have brought predictions of the demise of physical location and the death of cities.
Remote work has become commonplace since the beginning of the Covid-19 pandemic. But the focus on daily remote work arrangements may miss a larger opportunity that the pandemic has unearthed: the possibility of a substantially increased labor pool for digital economy work. To measure interest in digital economy jobs, defined as jobs within the business, finance, art, science, information technology, and architecture and engineering sectors, the authors conducted extensive analyses of job searches on the Bing search engine, which accounts for more than a quarter of all desktop searches in the U.S. They found that, not only did searches for digital economy jobs increase since the beginning of the pandemic, but those searches also became less geographically concentrated. The single biggest societal consequence of the dual trends of corporate acceptance of remote work and people’s increased interest in digital economy jobs is the potential geographic spread of opportunity.
Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.334003 data-title= Who Gets to Work in the Digital Economy? data-url=/2022/08/who-gets-to-work-in-the-digital-economy data-topic= Business and society data-authors= Scott Counts; Siddharth Suri; Alaysia Brown; Brian Xu; Sharat Raghavan data-content-type= Digital Article data-content-image=/resources/images/article_assets/2022/08/Aug22_04_509299271-383x215.jpg data-summary=
Neuralink, a company co-founded by Elon Musk, has been working on an implantable brain-machine interface since 2016. While it previously demonstrated its progress by showing a Macaque monkey controlling the cursor.
It’s unclear what kind of deal Musk has offered — whether it’s a collaboration or a financial investment —since none of the players responded or confirmed the report with the news organization.
Elon Musk’s last update on Neuralink — his company that is working on technology that will connect the human brain directly to a computer — featured a pig with one of its chips implanted in its brain. Now Neuralink is demonstrating its progress by showing a Macaque with one of the Link chips playing Pong. At first using “Pager” is shown using a joystick, and then eventually, according to the narration, using only its mind via the wireless connection.
Today we are pleased to reveal the Link’s capability to enable a macaque monkey, named Pager, to move a cursor on a computer screen with neural activity using a 1,024 electrode fully-implanted neural recording and data transmission device, termed the N1 Link. We have implanted the Link in the hand and arm areas of the motor cortex, a part of the brain that is involved in planning and executing movements. We placed Links bilaterally: one in the left motor cortex (which controls movements of the right side of the body) and another in the right motor cortex (which controls the left side of the body).
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
I have been thinking about death lately. Not a lot — a little. Possibly because I recently had a month-long bout of Covid-19. And, I read a recent story about the passing of the actor Ed Asner, famous for his role as Lou Grant in “The Mary Tyler Moore Show.” More specifically, the story of his memorial service where mourners were invited to “talk” with Asner through an interactive display that featured video and audio that he recorded before he died. The experience was created by StoryFile, a company with the mission to make AI more human. According to the company, their proprietary technology and AI can match pre-recorded answers with future questions, allowing for a real-time yet asynchronous conversation.
In other words, it feels like a Zoom conversation with a living person.
Hui Li, PhD, a Department of Pathology researcher, along with his team discovered that a gene responsible for the deadliest type of brain tumor is also found to be responsible for two forms of childhood cancer. The new discovery may open the door to the first targeted treatments for two types of rhabdomyosarcoma, a cancer of the soft tissue that primarily strikes young children. Research also suggests the gene may play an important role in other cancers that form in muscle, fat, nerves and other connective tissues in both children and adults. Hui Li, PhD, and team published their findings in the scientific journal PNAS.
