https://fearlessparent.org/cell-tower-hypocrisy-rescuing-firefighters-not-kids/
https://fearlessparent.org/cell-tower-hypocrisy-rescuing-firefighters-not-kids/
Think that human augmentation is still decades away? Think again.
This week, government leaders met with experts and innovators ahead of the World Government Summit in Dubai. Their goal? To determine the future of artificial intelligence.
Read more “World Leaders Have Decided: The Next Step in AI is Augmenting Humans”
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Dec 20, 2017 · IEEE Transmitter features bots that play soccer and work in hospitality
The IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG) publishes archival journal quality original papers in computational intelligence and related areas in artificial intelligence applied to games, including but not limited to videogames, mathematical games, human–computer interactions in games, and games involving physical objects.
IEEE Transactions on Computational Intelligence and AI in Games The journal has a broad scope and publishes high quality papers on all aspects of computational intelligence and artificial intelligence related to games.
IEEE Artificial Intelligence Symposium in Silicon Valley (http://ai.ieeesiliconvalley.org/2017/) brings together industry and academic leaders in cutting-edge AI research and development to share with you the recent developments in both Hardware and Software for AI.
Artificial intelligence software can beat the world’s most widely used test of a machine’s ability to act human, Google’s reCAPTCHA, by copying how human vision works …
The next generation of children — those born to Millennials — will have artificial intelligence (AI) technologies infiltrate nearly every aspect of their l
IEEE announces 3 AI standards to protect human well-being in the robot revolution Designers of artificial intelligence systems must take human ethical considerations into account to protect our society, according to IEEE.
This major one-day Summit from IEEE – the world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit …
The IEEE Transactions on Computational Intelligence and AI in Games (TCIAIG) will be renamed the IEEE Transactions on Games (TG) in January 2018.
Incredible vaccine lies from the Ministry of Truth
Incredible vaccine lies from the Ministry of Truth
by Jon Rappoport
February 18, 2018
For many years as a reporter covering medical stories, I have taken to task public health agencies, such as WHO and the CDC. I’m used to their lies.
In that regard, I came across a mind-boggling CDC quote dug up by Dr. Sherri Tenpenny (twitter), who has done terrific work researching vaccine dangers.
The quote comes from the 6th edition of Epidemiology and Prevention of Vaccine-Preventable Diseases, the so-called Pink Book, published by the CDC. It’s an attempt to squelch debate about the DTaP vaccine, which is given to prevent diphtheria, tetanus, and pertussis. Over the years, much has been written about the severe adverse effects of this combination vaccine—e.g., brain damage, seizures, very high fever, death.
The CDC quote (see also here) asserts that, generally, there is no definable disease “syndrome” caused by vaccines. It then makes several more astonishing claims.
“There is no distinct syndrome from vaccine administration, and therefore, many temporally associated adverse events probably represent background illness rather than illness caused by the vaccine…The DTaP may stimulate or precipitate inevitable symptoms of underlying CNS [Central Nervous System] disorder, such as seizures, infantile spasms, epilepsy or SIDS [Sudden Infant Death Syndrome]. By chance alone, some of these cases will seem to be temporally related to DPaT.”
Read the quote several times to absorb the full force of its message. It reminds me of the attempts to shunt aside deaths caused by AZT, the AIDS drug, which viciously attacks the immune system. In that case, the doctor or researcher will say, “The patient didn’t die from the effects of AZT. The destructive action of AIDS, by coincidence, simply speeded up after the drug was given.”
The CDC is claiming the DTaP vaccine stimulates a PRE-EXISTING CONDITION in a baby: The baby already had a life-threatening central nervous system illness. The illness was temporarily on hold. The vaccine brought it to light, and then the baby died.
Suddenly—with no evidence offered—vaccines have this magical ability to cause underlying illness to jump into action. The vaccine isn’t at fault. The baby was already on the road to brain damage or death.
I’ve seen some pretty wild excuses offered for vaccine-induced destruction, but this one takes the cake. Whoever cooked it up should receive some sort of medical prize for Bald-Faced Lying. Then he can be arrested for contributing to negligent homicide.
Generally speaking, the untested medical assumption is this: “We know vaccines cause no harm. Therefore, if a vaccine recipient becomes ill or dies, the cause must reside in the patient.” In the field of logic, this is called assuming what you are trying to prove.
I have written many times about the 100,000 people who die every year, in the US, as a result of correctly administered FDA-approved medicines. Perhaps the CDC or the National Institutes of Health could issue a statement blaming all these deaths on underlying, pre-existing illness that was stimulated by these drugs.
Surgical errors could be accounted for in this way, too. “Yes, we did remove the patient’s testicles while we were doing the appendectomy. But you see, we knew he had testicular cancer, so we needed to take care of that while we were in the area. What’s that? How did we know he had testicular cancer? Well, we would never remove his testicles by mistake. Therefore, we must have known we had a legitimate reason to take them off. Can’t you see that?”
TOXIC WATER: Widespread Lead Contamination Threatens Children’s Health, and Could Triple Household Water Bills – The Top 25 Censored Stories of 2016-2017 . . .
Read more “TOXIC WATER: Widespread Lead Contamination Threatens Health”
https://www.sfchronicle.com/bayarea/article/Huge-wildfires-can-wipe-out-California-s-12376324.php
Most years, the amount of greenhouse gases spewed by California’s cars, factories and power plants drops slightly — a hard-won result of the state’s fight against global warming.
Read more “Huge wildfires can wipe out California’s greenhouse gas gains”
https://www.weforum.org/agenda/2017/05/the-deadly-diseases-being-released-by-climate-change/
What would happen if we were suddenly exposed to deadly bacteria and viruses that have been absent for thousands of years? We may be about to find out.
Climate change is melting permafrost soils that have been solid for thousands of years, and as the soils melt they have the potential to release ancient viruses and bacteria that may be capable of springing back to life.
The most recent discovery of an ancient virus came when French and Russian scientists investigated a 30,000 year-old piece of Siberian permafrost.
In a paper published in 2014 in the Proceedings of the National Academy of Sciences, a team led by Jean-Michel Claverie of Aix-Marseille University revealed they had discovered a new “giant virus” that they named Pithovirus sibericum.
Giant viruses are so-called because they are much larger than traditional viruses. Pithovirus is the biggest ever found and measures 1,500 nanometres (billionths of a metre) across. That’s more than 10 times larger that the HIV virus.
What is more, after thawing the Pithovirus from its frozen state, Claverie and his team discovered that it was still infectious.
Fortunately, the virus’ targets are amoebae, and Pithovirus poses no danger to humans.
However, giant viruses can sometimes be harmful to people.
Nature magazine reports how in 2013 Christelle Desnues, a virologist at the French National Centre for Scientific Research in Marseilles, discovered signs that another giant virus, Marseillevirus, had infected an 11-month-old boy.
The virus was traced to one of the patient’s lymph nodes, which was then surgically removed.
In their paper, Claverie and his team warn that while Pithovirus is harmless to humans, the “revival of such an ancestral amoeba-infecting virus” suggests that “the thawing of permafrost either from global warming or industrial exploitation of circumpolar regions might not be exempt from future threats to human or animal health”.
Warming viruses
While global warming has yet to expose any ancient viruses harmful to humans, it has begun re-exposing more familiar diseases that modern society thought it had eradicated.
In August 2016, a 12 year-old boy in northern Russia was killed after being infected by Anthrax. The Anthrax outbreak, which saw up to 20 people hospitalised, was blamed on unusually warm weather in the arctic circle.
It is believed that a reindeer carcass infected with Anthrax was buried deep in the ice, but with temperatures reaching 35C in the Siberian tundra last summer, the carcass thawed and Anthrax spores were released.
Up to 2,300 reindeer were killed as a result of the outbreak, and the entire reindeer herdsman community – of which the fatally infected boy was a member – had to be evacuated.
Average temperatures in Russia have increased by 0.43C in the past 10 years, but the rise has been more pronounced in areas of the far north, according Alexei Kokorin, head of WWF Russia’s climate and energy programme.
Speaking to The Guardian, Kokorin said the warmer climate has begun thawing the permafrost soil that covers much of Russia, including cemeteries and animal burial grounds. Thawing permafrost has also led to greater erosion of river banks where nomads often buried their dead, Kokorin said.
Anthrax may not be the only infectious disease lurking in the ice. In 2004, US researchers successfully revived the 1918 Spanish flu – which killed millions of people – from a fragment of a corpse’s lung frozen in the Alaska permafrost.
Scientists have also discovered DNA fragments of smallpox in the Siberian permafrost.
Bigger threats
While the risk of infectious diseases being released by thawing permafrost is real, scientists are at pains to point out that the chances of any future pandemic are incredibly low.
Speaking in Nature magazine on the discovery of Pithovirus, Curtis Suttle, a virologist at the University of British Columbia in Vancouver, Canada, points out that people already inhale thousands of viruses every day, and swallow billions whenever they swim in the sea.
The idea that melting ice would release harmful viruses, and that those viruses would circulate extensively enough to affect human health, “stretches scientific rationality to the breaking point”, he said.
“I would be much more concerned about the hundreds of millions of people who will be displaced by rising sea levels.”
And rather than diseases being released by melting ice, some argue that as Earth warms northern countries will become more susceptible to outbreaks of “southern” diseases like malaria, cholera and dengue fever, as these pathogens thrive at warmer temperatures.
In warmer countries climate change is already having a devastating effect on people’s health. In central America incidences of chronic kidney disease are on the rise, and are being blamed on increased dehydration as hotter days become more frequent.
Cape Town – the South African city of 3.7 million people – is on the verge of running out of water. Day Zero is the day the taps will get turned off. CLICK ABOVE FOR FULL ARTICLE
https://primarywater.org/?p=188
SMART DUST
Autonomous sensing and communication in a cubic millimeter
PI: Kris Pister
Co-investigators: Joe Kahn, Bernhard Boser
Subcontract: Steve Morris, MLB Co.
Supported by the DARPA/MTO MEMS program
This project finished in 2001, but many additional projects have grown out of it. Among these are
If you are interested in commercial applications, you should check out Crossbow Technologies and Dust Networks. (N.b. I have a financial interest in both!)
Quick progress update. Another update.
29 Palms demo of air-emplaced 1″ scale motes detecting vehicles.
Latest photos and press coverage.
My view of sensor networks in 2010.
The two figures above represent where we are and where we’d like to be.
On the left is where we hope to be in July of ’01 – a cubic millimeter device with a sensor, power supply, analog circuitry, bidirectional optical communication, and a programmable microprocessor. Click on the figure to get more detail.
On the right is where we are now (July ’99) – a (currently) non-functional mote with a volume of about 100 cubic millimeters. There are two silicon chips sitting on a type-5 hearing aid battery. The right chip is a MEMS corner cube optical transmitter array – it works. On the right is a CMOS ASIC with an optical receiver, charge pump, and simple digital controller – it doesn’t work (we violated some of the design rules in the 0.25 micron process, but the next one should work).
Projects
Accomplishments
Applications
The science/engineering goal of the Smart Dust project is to demonstrate that a complete sensor/communication system can be integrated into a cubic millimeter package. This involves both evolutionary and revolutionary advances in miniaturization, integration, and energy management. We aren’t targeting any particular sensor, in fact there is no direct funding for sensor research in the project (but we’ve got quite a few to choose from based on a decade or two of outstanding MEMS work at Berkeley and elsewhere).
We’re funded by DARPA, so we will demonstrate Smart Dust with one or more applications of military relevance. In addition, we’re pursuing several different applications with commercial importance, and we’ve got a long list of applications to work on if we only had the time. Here’s a sampling of some possible applications, in no particular order:
Environmental Impact
A lot of people seem to be worried about environmental impact. Not to worry! Even in my wildest imagination I don’t think that we’ll ever produce enough Smart Dust to bother anyone. If Intel stopped producing Pentia and produced only Smart Dust, and you spread them evenly around the country, you’d get around one grain-of-sand sized mote per acre per year. If by ill chance you did inhale one, it would be just like inhaling a gnat. You’d cough it up post-haste. Unpleasant, but not very likely.
Consider the scale – if I make a million dust motes, they have a total volume of one liter. Throwing a liter worth of batteries into the environment is certainly not going to help it, but in the big picture it probably doesn’t make it very high on the list of bad things to do to the planet.
https://en.wikipedia.org/wiki/Artificial_intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of “intelligent agents“: any device that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.[2] See glossary of artificial intelligence.
The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring “intelligence” are often removed from the definition, a phenomenon known as the AI effect, leading to the quip “AI is whatever hasn’t been done yet.”[3] For instance, optical character recognition is frequently excluded from “artificial intelligence”, having become a routine technology.[4] Capabilities generally classified as AI as of 2017 include successfully understanding human speech,[5] competing at a high level in strategic game systems (such as chess and Go[6]), autonomous cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data, including images and videos.
Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism,[7][8] followed by disappointment and the loss of funding (known as an “AI winter“),[9][10] followed by new approaches, success and renewed funding.[8][11] For most of its history, AI research has been divided into subfields that often fail to communicate with each other.[12] These sub-fields are based on technical considerations, such as particular goals (e.g. “robotics” or “machine learning”),[13] the use of particular tools (“logic” or “neural networks”), or deep philosophical differences.[14][15][16] Subfields have also been based on social factors (particular institutions or the work of particular researchers).[12]
The traditional problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing, perception, explainability and the ability to move and manipulate objects.[13] General intelligence is among the field’s long-term goals.[17] Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, neural networks and methods based on statistics, probability and economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy, neuroscience, artificial psychology and many others.
The field was founded on the claim that human intelligence “can be so precisely described that a machine can be made to simulate it”.[18] This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been explored by myth, fiction and philosophy since antiquity.[19] Some people also consider AI a danger to humanity if it progresses unabatedly.[20] Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment.[21]
In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science.
FULL ARTICLE HERE https://en.wikipedia.org/wiki/Artificial_intelligence