Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2044

Biohacking raises a host of ethical issues, particularly about data protection and cybersecurity as virtually every tech gadget risks being hacked or manipulated. And implants can even become cyberweapons, with the potential to send malicious links to others. “You can switch off and put away an infected smartphone, but you can’t do that with an implant,” says Friedemann Ebelt, an activist with Digitalcourage, a German data privacy and internet rights group.

Patrick Kramer sticks a needle into a customer’s hand and injects a microchip the size of a grain of rice under the skin. “You’re now a cyborg,” he says after plastering a Band-Aid on the small wound between Guilherme Geronimo’s thumb and index finger. The 34-year-old Brazilian plans to use the chip, similar to those implanted in millions of cats, dogs, and livestock, to unlock doors and store a digital business card.

Kramer is chief executive officer of Digiwell, a Hamburg startup in what aficionados call body hacking—digital technology inserted into people. Kramer says he’s implanted about 2,000 such chips in the past 18 months, and he has three in his own hands: to open his office door, store medical data, and share his contact information. Digiwell is one of a handful of companies offering similar services, and biohacking advocates estimate there are about 100,000 cyborgs worldwide. “The question isn’t ‘Do you have a microchip?’ ” Kramer says. “It’s more like, ‘How many?’ We’ve entered the mainstream.”

Research house Gartner Inc. identified do-it-yourself biohacking as one of five technology trends—others include artificial intelligence and blockchain—with the potential to disrupt businesses. The human augmentation market, which includes implants as well as bionic limbs and fledgling computer-brain connections, will grow more than tenfold, to $2.3 billion, by 2025, as industries as diverse as health care, defense, sports, and manufacturing adopt such technologies, researcher OG Analysis predicts. “We’re only at the beginning of this trend,” says Oliver Bendel, a professor at the University of Applied Sciences & Arts Northwestern Switzerland who specializes in machine ethics.

Continue reading “Biohackers Are Implanting Everything From Magnets to Sex Toys” | >

Researchers at the Research Center for IT Innovation of Academia Sinica, in Taiwan, have recently developed a novel generative adversarial network (GAN) that has binary neurons at the output layer of the generator. This model, presented in a paper pre-published on arXiv, can directly generate binary-valued predictions at test time.

So far, GAN approaches have achieved remarkable results in modeling continuous distributions. Nonetheless, applying GANs to discrete data has been somewhat challenging so far, particularly due to difficulties in optimizing the distribution toward the target data distribution in a high-dimensional discrete space.

Hao-Wen Dong, one of the researchers who carried out the study, told Tech Xplore, “I am currently working on music generation in the Music and AI Lab at Academia Sinica. In my opinion, composing can be interpreted as a series of decisions—for instance, regarding the instrumentation, chords and even the exact notes to use. To move toward achieving the grand vision of a solid AI composer, I am particularly interested in whether deep generative models such as GANs are able to make decisions. Therefore, this work examined whether we can train a GAN that uses binary neurons to make binary decisions using backpropagation, the standard training algorithm.”

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Many A.I. experts are concerned that Facebook, Google and a few other big companies are hoarding talent in the field. The internet giants also control the massive troves of online data that are necessary to train and refine the best machine learning programs.

Several start-ups hope to use the technology introduced by Bitcoin to give broader access to the data and algorithms behind artificial intelligence.

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Perhaps physicists should leave human intuition at the laboratory door when designing quantum experiments too.

An Australian crew enlisted the help of a neural network — a type of artificial intelligence — to optimise the way they capture super-cold atoms.

Usually, physicists smoothly tune lasers and magnetic fields to gradually coax atoms into a cloud, according to study co-author Ben Buchler from the Australian National University.

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Earlier this year, we hosted the Ending Age-Related Diseases 2018 conference at the Cooper Union, New York City. This conference was designed to bring together the best in the aging research and biotech investment worlds and saw a range of industry experts sharing their insights.

Joe Betts Lacroix of Y Combinator and Vium discusses the different ways in which entrepreneurs can focus on overcoming the diseases of aging, namely direct, indirect, and money-first approaches, and the strengths and weakness of each.

Joe was the primary technical founder of hardware/software startup OQO, which entered the Guinness Book of World Records for building the smallest fully featured PC. His experience spans from biotech research to electronics design. Very experienced in invention, prosecution and monetization of intellectual property, he has over 80 patents granted and pending in fields ranging from biophysics and safety systems to antennas, thermal systems, user interfaces, and analog electronics. He has written numerous peer-reviewed publications in fields such as biophysics, genetics, electronics, and robotics. Joe holds a Harvard A.B., an MIT S.M. and a Caltech research fellowship.

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Two of the methods he said humans might use were “body part renewal” and linking bodies with machines so that people are living their lives through an android.

But after Dr Pearson’s predictions, immortality may now be a step nearer following the launch of a new start-up.

Human is hoping to make the immortality dream a reality with an ambitious plan.

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Judging by the breathless coverage, it can seem as if the only countries developing A.I. are the United States and China. But while companies in those two countries are leading the way in cutting-edge research and products, it’s still early for the industry and other nations are working hard to become major A.I. players. Here are six that could challenge the two juggernauts.

From Singapore to Israel, countries besides the United States and China are striving to play a role in the field of artificial intelligence.

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