For decades, scientists have been trying to build a long-lasting replacement for the human heart. Now, an Australian inventor believes he’s cracked one of the hardest problems in medicine.
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On Wednesday, France’s National Agency for Information Systems Security—abbreviated as ANSSI—warned national businesses and organizations that the group was behind a massive attack campaign that was using hacked routers prior to carrying out reconnaissance and attacks as a means to cover up the intrusions.
“ANSSI is currently handling a large intrusion campaign impacting numerous French entities,” an ANSSI advisory warned. “Attacks are still ongoing and are led by an intrusion set publicly referred to as APT31. It appears from our investigations that the threat actor uses a network of compromised home routers as operational relay boxes in order to perform stealth reconnaissance as well as attacks.”
After the New Shepard rocket vehicle carried Jeff Bezos, his brother Mark, Wally Funk and Oliver Daemen into space and its capsule glided safely back to the West Texas desert, the four crewmates emerge safely and are greeted by their jubilant families.
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On the first passenger test flight for his space company Blue Origin, Jeff Bezos blasted into space from West Texas along with his brother Mark Bezos, 82-year-old aviator Wally Funk and 18-year-old physics student Oliver Daemen aboard the rocket New Shepard. NBC’s Tom Costello reports for TODAY from Corn Ranch, Texas.
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See how these billionaire space ventures can vastly improve life on Earth. I support Bezos’ dream of mining asteroids and building rotational space habitats (O’neill Cylinders) that are mini Earths turned inside out to spread life through the cosmos. That said, I don’t like the Amazon Death Star approach to blasting small businesses out of business to build their empire. That said I do hope Blue Origin starts making progress toward orbit and all the best to SpaceX, Virgin Galactic, Virgin Orbit, Rocket Lab, and all the other space ventures out there!
You can support Galactic Gregs by supporting the sister channel Green Gregs by clicking the links below: For your space habitat garden buy worms at greengregs.com! See the Special Deals at My Patriot Supply (great space mission food): www.PrepWithGreg.com. For gardening in your space habitat (or on Earth) Galactic Gregs has teamed up with True Leaf Market to bring you a great selection of seed for your planting. Check it out: http://www.pntrac.com/t/TUJGRklGSkJGTU1IS0hCRkpIRk1K
Military-grade spyware licensed by an Israeli firm to governments for tracking terrorists and criminals was used in attempted and successful hacks of 37 smartphones belonging to journalists, human rights activists, business executives and two women close to murdered Saudi journalist Jamal Khashoggi, according to an investigation by The Washington Post and 16 media partners.
The phones appeared on a list of more than 50000 numbers that are concentrated in countries known to engage in surveillance of their citizens and also known to have beenclients of the Israeli firm, NSO Group, a worldwide leader in the growing and largely unregulated private spyware industry, the investigation found.
The list does not identify who put the numbers on it, or why, and it is unknown how many of the phones were targeted or surveilled. But forensic analysis of the 37 smartphones shows that many display a tight correlation between time stamps associated with a number on the list and the initiationof surveillance, in some cases as brief as a few seconds.
The inventor of the first robot in Greece, Konstantinos Soukos, has pushed Greece into a new era by creating laser weapons that target drones.
When the inventor and businessman Konstantinos Soukos built the first robot in Greece in 1985, he did not imagine that 36 years later he would supply many military forces across the world.
One of the newest creations that stands out at the DEFEA 2021 Defence Exhibition in Athens is the High Energy Laser Weapon developed by the Soukos Robots company which promises to transfer energy at lightning speed.
Investing in the convergence of bioelectrics & biologics for regeneration & healing — howard J. leonhardt, founder, leonhardt ventures.
Howard Leonhardt is the Founder of Leonhardt Ventures, the world’s first Innovation Accelerator focused on the convergence of bioelectrics & biologics for organ regeneration and tissue healing.
Howard is an accomplished inventor and serial entrepreneur, with 21 U.S. patents, over 100 patent claims for products for treating cardiovascular disease, and has over 40 new patent claims pending. His TALENT (Taheri-Leonhardt) stent graft, developed in the early 1990′s, holds a leading world market share for repairing aortic aneurysms without surgery.
Howard’s inventions to date have been involved in treated over 500000 patients in 60 countries.
Howard is co-leader of Startup California and Founder and Chairman of The California Stock Exchange TM (Cal-X) preparing to be the first social good impact stock exchange currently operating the Cal-X 30 Social Good Impact fund. He founded Cal-X Crowdfund Connect, a crowdfunding campaign management company, and Cal-X Stars Business Accelerator, Inc., a business incubator and accelerator focused on cardiovascular life sciences and social good impact innovations.
There are 30 regenerative med-tech and regenerative economy startups in his current portfolio. His Leonhardt Ventures angels network has raised and put to work over US$145 million in 32 companies to date, including those developing the first implantable programmable and re-fillable stem cell pump, brain, eye, and aorta regeneration technologies, and number of other organ regeneration spin offs from his patented core technologies.
Howard Leonhardt serves as state spokesperson in California for the JOBS ACT and Crowdfunding for Startup California and has given over 40 speeches on the subject. He has operated Leonhardt’s Launchpads NorCal at the University of Northern California Science & Technology Innovation Center in Rohnert Park, CA since 2008 and recently opened Leonhardt’s Launchpads Utah in Salt Lake City just off the campus of the University of Utah. He has served on the Board of Directors of the University of Northern California, a private biomedical engineering school, since 1999.
Last week, Amazon patented a delivery system involving self driving trucks carrying several small robots that deliver packages to homes.
Once all the small delivery bots are back on board, the truck (which would have a human driver in the near future but likely be autonomous in the less-near future) drives off to the next block—its fleet of mini-me’s restocking with new packages en route—and the scene repeats itself.
Cool/creepy? Good/bad? Depends on your perspective. On the one hand, employing fewer humans would bring Amazon more cost savings in the long run, which it would ideally pass on to customers and re-invest in other parts of the business, leading to hiring more people in a virtuous circle.
But on the other hand, it’s not hard to imagine the secondary vehicles going awry; there would be plenty of obstacles for them to get around (dogs, bikes, sprinklers, and children are just a few that come to mind), and given how hard it’s been to bring self-driving cars to market, Amazon may be underestimating the challenge of maneuvering the small delivery vehicles even 100 feet from truck to doorstep.
These flaws in AI training give the technology a bad name, and so do regular media reports suggesting that intelligent machines are poised to decimate the human workforce. These themes, for many people, have obscured AI’s genuine usefulness in data analysis and conversational platforms. And while computer vision does indeed have its flaws, it is more than just a reflection of societal biases: it is potentially an essential tool for both society and business.
Computer vision, or CV, gives machines the power of visual recognition in a way that emulates human sight. Whether a machine is detecting dangers on the road or, more controversially, recognising faces in a crowd, the ultimate aim is to make decisions based on image interpretation.
The tech is an advanced form of pattern recognition, made through statistical comparison of data sets. This means that while machines can “see”, they have no real understanding of what they are looking at. They can distinguish one object from another, true, but can’t explain what this difference means.
