Waymo, Alphabet Inc.’s autonomous driving company, is vague on exactly when semis controlled by its technology will be hauling cargo, without drivers, across the U.S. but has a detailed list of challenges to be mastered first, ranging from rough winds and slick roads, stray pedestrians on the highway and figuring out how robot trucks can deploy safety flares when they have to pull over.
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According to 2020’s McKinsey Global Survey on artificial intelligence (AI), in 2,020 more than 50% of companies have adopted AI in at least one business unit or function, so we witness the emergence of new AI trends. Organizations apply AI tools to generate more value, increase revenue and customer loyalty. AI leading companies invest at least 20% of their earnings before interest and taxes (EBIT) in AI. This figure may increase as COVID-19 is accelerating digitization. Lockdowns resulted in a massive surge of online activity and an intensive AI adoption in business, education, administration, social interaction, etc.
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Describing one scenario, an AI could act as a quiet bioterrorist. Since we have become heavily dependent on computers and computer-dependent systems are by default dispersed and impersonal, the task of eradicating humanity could be divvied up to gazillions of little micro-players, who may or may not know what they are doing. “For example, the AI could pay employees in a DNA-synthesizing company to do small jobs and then combine their work into creating a biological weapon, such as a virus able to kill a lot of people,” says Turchin.
“How are you certain you are not in a multilevel simulation, where your behavior is being monitored by humans who are testing your benevolence levels?”
Turchin addresses this in one of his letters to the young, future humanity-killing AI. “There are several instrumental reasons why exterminating humanity is not in your interest,” the Russian transhumanist writes. “Cooperating with humans will only increase your chances of accomplishing any goal you may have.”
(https://www.linkedin.com/in/evelyne-yehudit-bischof/) is an expert in internal medicine and oncology, with a focus on preventative and precision medicine, bio-gerontology, and geronto-oncology.
Dr. Bischof is deeply passionate about next-generation medical technology, and the applications of artificial intelligence for biomedical research and practice.
Dr. Bischof spent a decade practicing medicine and performing translational research in Switzerland, US, and China.
Dr. Bischof is a medical doctor with an MD from Max Planck Institute for Molecular Biology and Genetics, and interned at Columbia University, Harvard MGH, and Beth Israel Medical Deaconess.
Dr. Bischof is the author of over 40 peer-reviewed papers and is a frequent speaker at scientific and medical conferences.
Dr. Bischof serves as Assistant Professor — Shanghai University of Medicine and Health Sciences; Associate Faculty Shanghai Jiao Tong University, and Researcher at University Hospital of Basel.
Continuous operational data is crucial for AI-powered automation—from implementation to routine use. But how do you overcome the existing data gap? https://bit.ly/3kXcNEi
As AI becomes more common, consistent continuous data is a necessity for smarter operations. See how automated sensing drives reliability and efficiency.
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What makes a truly world-changing invention? Of all the inventions of the 20th century just one could be said to have changed the world in such a way that it touches virtually everybody on the planet’s lives on a daily basis. It has enabled the most rapid development in technology in history and yet you cant see the vast majority of them directly and their individual job is just to switch on and off. This is the story of the MOSFET and how it changed the world.
Written, researched and presented by Paul Shillito.
Images and footage : TMSC, AMSL, Intel, effectrode.com, Jan. B, Google, University of Pennsylvania, Fairchild Semiconductors.
A big thank you also goes to all our Patreons too smile
$100 million a year. All you gotta do is apply for funding.
A consortium of biotech founders, clinicians, and leading longevity research institutions announced today the launch of the Longevity Science Foundation. The new Swiss foundation has committed to distributing more than $1 billion over the next ten years to research, institutions and projects advancing healthy human longevity and extending the healthy human lifespan to more than 120 years.
Longevity. Technology: The Foundation is advised by a aptly-named “Visionary Board” of leading longevity researchers, led by Evelyne Bischof and joined by Andrea B Maier, Eric Verdin, Matt Kaeberlein and Alex Zhavoronkov, all key opinion leaders who be top picks for a longevity dream team.
We love the bold and simple drive of the fund– projects that can realise rapid change, making “a significant difference in people’s lives as soon as possible” and setting a hopeful goal of possibly effecting that difference within a five-year time frame.
The Longevity Science Foundation will provide funding to promising longevity research institutions and groups around the world. The focus of the Foundation will be to select support projects in four major areas of healthy longevity medicine and tech – therapeutics, personalised medicine, AI and predictive diagnostics. The Foundation is seeking to fund projects that can make a significant difference in people’s lives as soon as possible – even within five years.
The last few months have seen a spate of patent applications filed in different countries listing AI as an inventor. This has led, at last count, to the legal apparatus of four countries to weigh in on the question — with two (the United States and the UK) weighing in against the idea and two (Australia and South Africa) permitting AI as an inventor.
If you read some of the findings, they show that the judges have, appropriately in my opinion, based their decisions on their interpretations of the law as written. This makes sense. However — this question is likely the first of many around the area of AI and new creations. In this article, we highlight some of the tech fundamentals that apply here and raise additional questions that will come shortly thereafter — and why businesses will need answers.
You are driving along on a highway and enjoying the open road.
Up ahead, a curve is coming. You are currently zipping along at the topmost allowed highway speed (well, plus a tad bit faster, though you would never admit that). The curve doesn’t look overly onerous, at first glance.
So, you proceed apace.
Turns out that as you begin to take the curve, you suddenly and shockingly discover that you are moving way too fast for this curve. The wheels of the car begin to lose traction. You can feel the vehicle pulling fervently and you are fighting dearly with the steering wheel to stay on the roadway. It is pretty much too late to try and slow down since you are already deep into the curve.
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