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A way to speed up quantum computer tech progress has arrived from Intel. If you are interested in following the waves and advances in quantum computing, then get familiar with this word trio: Cryogenic Wafer Prober. Before their design, the electrical characterization of qubits was slower than with traditional transistors. Even small subsets of data might take days to collect.

Drug development. Chemistry. Climate change. Financial modeling. Scientists in all areas look forward to more advancements to push quantum computers to the frontlines. Speeding progress could also mean speeding up advancements in science and industry.

“Quantum computing, in essence, is the ultimate in , with the potential to tackle problems conventional computers can’t handle,” said Intel.

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With the development of deep fakes and social media bots, there’s a concern about the use of AI in crime. This paper by Floridi is a great analysis of the possible problems that may arise. From the above mentioned deep fakes to AI copying someone’s social media account into another media and pretending to be them or the use of AI financial bots to gather insider information to use in financial manipulation.

The last idea reminds of the scenes in Transcendence where the AI Will Caster makes a fortune in the markets.


Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI.

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I agree with the need to prepare.


Yea…maybe. We may see a US stock market crash this year. Truth is we are way over do for a market correction and when it does hit, this may cause a major financial crisis and recession in the US and globally. Are you prepared? 🤔

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Hands are old news. VR navigation, control and selection is best done with the eyes—at least that’s what HTC Vive is banking on with the upcoming HTC Vive Pro Eye, a VR headset with integrated Tobii eye tracking initially targeting businesses. I tried out a beta version of the feature myself on MLB Home Run Derby VR. It’s still in development and, thus, was a little wonky, but I can’t deny its cool factor.

HTC announced the new headset Tuesday at the CES tech show in Las Vegas. The idea is that by having eye tracking built into the headset, better use cases, such as enhanced training programs, can be introduced. The VR player also says users can expect faster VR interactions and better efficiency in terms of tapping your PC’s CPU and GPU.

Of course, before my peepers could be tracked I needed to calibrate the headset for my special eyes. It was quite simple, after adjusting the interpupillary distance appropriately, the headset had me stare at a blue dot that bounced around my field of view (FOV). The whole thing took less than a minute.

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The researchers found that people have a moral preference for supporting good causes and not wanting to support harmful or bad causes. However, depending on the strength of the monetary incentive, people will at one point switch to selfish behavior. When the authors reduced the excitability of the rTPJ using electromagnetic stimulation, the participants’ moral behavior remained more stable.

“If we don’t let the brain deliberate on conflicting moral and monetary values, people are more likely to stick to their moral convictions and aren’t swayed, even by high financial incentives,” explains Christian Ruff. According to the neuroeconomist, this is a remarkable finding, since: “In principle, it’s also conceivable that people are intuitively guided by financial interests and only take the altruistic path as a result of their deliberations.”


Our actions are guided by moral values. However, monetary incentives can get in the way of our good intentions. Neuroeconomists at the University of Zurich have now investigated in which area of the brain conflicts between moral and material motives are resolved. Their findings reveal that our actions are more social when these deliberations are inhibited.

When donating money to a charity or doing volunteer work, we put someone else’s needs before our own and forgo our own material interests in favor of moral values. Studies have described this behavior as reflecting either a personal predisposition for altruism, an instrument for personal reputation management, or a mental trade-off of the pros and cons associated with different actions.

Impact of electromagnetic stimulation on donating behavior

A research team led by UZH professor Christian Ruff from the Zurich Center for Neuroeconomics has now investigated the neurobiological origins of unselfish behavior. The researchers focused on the right Temporal Parietal Junction (rTPJ) — an area of the brain that is believed to play a crucial role in social decision-making processes. To understand the exact function of the rTPJ, they engineered an experimental set-up in which participants had to decide whether and how much they wanted to donate to various organizations. Through electromagnetic stimulation of the rTPJ, the researchers were then able to determine which of the three types of considerations — predisposed altruism, reputation management, or trading off moral and material values — are processed in this area of the brain.

Great news!


Inspired by British billionaire Jim Mellon, chairman of anti-aging upstart biotech venture Juvenescence, Sergey Young unveiled a $100 million fund on Monday to catalyze the development of a comprehensive solution to counteract the damaging consequences of aging.

“I’ve never looked like my age…and with my name, I think it was predetermined that I was going to work in the space (of aging),” Young told Endpoints News. The 47-year-old considers himself a product of Peter Diamandis — the man behind the non-profit XPRIZE and venture capital fund BOLD Capital Partners — and is in charge of all things longevity at both organizations.

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Longevity Investor Network member Sebastian Aguiar discusses the rejuvenation biotechnology industry and bridging the gap between research and development.


Sebastian Aguiar is a Venture Fellow at Apollo Ventures, an aging-focused venture capital fund and company builder that invests across Europe and the United States. He can be found at https://www.linkedin.com/in/sebastianaguiar/ and https://twitter.com/sebastian_gero.

What initially attracted you to aging as a general discipline?

Aging is already a solved problem… for cells. The germ line is immortal. Cancer cells are immortal as well. In fact, cellular immortality has been a solved problem for 3.5 billion years, since the dawn of life on Earth. It’s just that the soma – all the cells other than the reproductive cells – are disposable.

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Saying farewell to coffee isn’t that easy. According to research about three-fifths of all our beloved coffee species are going to go extinct. This is a phenomenal amount of coffee that we risk losing.

Here’s something to think about as you sip that morning mochaccino:?Deforestation, climate change and the proliferation of pests and fungal pathogens are putting most of the world’s wild coffee species at risk of extinction.

At least 60 percent of wild coffee species are considered “threatened,” according to a study published this week in Science Advances. And fewer than half of all the wild species are safeguarded in so-called germplasm collections—banks for seed and living plants kept in protected areas as backups.

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Innovation in fashion is sparking radical change. In the future clothes could be computers, made with materials designed and grown in a lab.

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A new wave of innovation is fueling a radical change in fashion. Wearable technology, data, automation and lab-grown materials will have a major impact on what people will be wearing in the future.

Since the birth of sewing and weaving, technology has always led developments in fashion. The Industrial Revolution mechanized manufacturing enabling mass production. In the 1960s synthetic materials like polyester took off, creating new possibilities for fashion.

Now the convergence of new technologies is opening up previously unimaginable possibilities. Self-styled fashion scientist Dr Amanda Parkes is in the vanguard of the industry’s latest reinvention. She heads up innovation at FT labs, a venture capital firm that invests primarily in disruptive fashion tech startups. Among these startups the race is on to find the next generation of renewable materials that can be grown in a lab. Traditional silk is produced from insect larvae that form cocoons, most commonly silkworms. But rather than relying on these insects bolt threads is creating silk in test tubes. Bio fabricated materials remove the need for animals and insects and they are a more sustainable and efficient way of producing raw materials.

Other companies are creating leather alternatives. Rather than using animals scientists are creating bio fabricated materials from pineapple leaves and even mushrooms. The convergence of fashion and technology also provides opportunities to transform not just clothes but the people wearing them.

#MachineLearning and #ArtificialIntelligence are revolutionising the online world. They are capable of reducing costs, analysing data, recognising patterns and trends we can’t see with the human eye and making real- time decisions. Now, they are being used to help prevent financial fraud and they’re learning how to do it better every day.


Machine learning and artificial intelligence are revolutionising the online world. They are capable of reducing costs, analysing data, recognising patterns and trends we can’t see with the human eye and making real-time decisions. Now, they are being used to help prevent financial fraud and they’re learning how to do it better every day.

Currently it is estimated that cybercrime costs the global economy approximately $600 billion, with one of the most common forms being credit card fraud which has grown considerably with the increase in the online market. As more and more people chose to transact online it is becoming increasingly important for financial services to invest in better, faster and more accurate fraud detection and prevention techniques.

How our data helps protect us

Thanks to there being such a large amount of online transactions, this means that there is a huge amount of customer data available which can be studied and learnt by AI. They can learn how to identify valid credit card behavioural patterns and how to detect irregular behaviour which could be fraudulent.

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