Scallops: ‘Lack of progress’ in Cardigan Bay fishing rules – BBC News

Posted on February 8, 2020 by Danzig

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Fishermen and conservationists have said they are frustrated by lack of progress after a decision to allow more scallop fishing in a spot off the Welsh coast.

In 2016, the Welsh Government said a more flexible area around Cardigan Bay would be introduced.

It said Brexit had slowed work, but expected to make "significant progress" this year.

Environmentalists said any increase had to be done with minimal impact.

But fishermen said an opportunity to make a decent living was being missed.

Father and son Robbie and John Gorman own a scallop trawler called the Joanna, moored in Aberystwyth harbour.

Lobster fishing is their main work but scallops provide much-needed income during the winter.

Current rules allow them to dredge for scallops only in one small area in Cardigan Bay for a limited period.

But they insist a larger area could be fished without damaging the marine habitat.

"It's nonsensical. It doesn't harm the environment - it's something that can be cropped sensibly," said Robbie Gorman.

"When you're fishing somewhere and picking up a relatively small catch of scallops and there's a closed area the other side of a line where they're knee-deep - it's a stupid waste and they're only going to die of old age and just lie there rotting."

Overfishing in the early 2000s led to a decision by the Welsh Government to close the scallop fishery, but 10 years ago a small area was re-opened.

Mick Green, a senior policy advisor with Whale and Dolphin Conservation, said the group was "not happy" about the 2016 decision, but had accepted it.

However, he added: "But we think there are other methods - for example Yorkshire Wildlife Trust have teamed up with people farming scallops in crates, so you don't have to scrape the sea bed, you just pick up the crates.

"If the Welsh Government had spent two years looking at things like that, we might have got somewhere by now, but at the moment we're all up in the air."

He said the group would work with fishermen to ensure it was "as least damaging as possible, so that they make their livelihood and we still have our wildlife".

Environment Minister Lesley Griffiths said: "I remain fully committed to introducing flexible management for fisheries in Wales, including our scallop fishery, to ensure sustainable management of this natural resource.

"While the demands of leaving the European Union have slowed this work, I fully expect to make significant progress on flexible management for Welsh fisheries in 2020."

The Welsh Government said there were 39 vessels permitted to fish for scallops with dredgers in Welsh waters and before any fishery measures are implemented, it must satisfy the rigorous environmental assessment process to demonstrate there was no adverse impact on the protected features of this marine site.

But those representing the Welsh fishing industry said a vital opportunity was being missed.

Jerry Percy, director of the New Under Ten Fishermen's Association, representing crews using boats smaller than 10ft, pointed to research conducted by marine scientists at Bangor University which contributed to the Welsh Government's consultation.

"The science says we can fish there sustainably without having an undue impact," he said.

"It is a special area of conservation and you have to fish in those areas without having a significant adverse impact on the integrity of the site.

"It's not for me as a fisherman to say there should be fishing there, the science says we can do that without adversely harming the dolphins or anything else there."

World War 3 | WW3 | WWIII | Endtime Ministries | Irvin …

Posted on February 8, 2020 by Danzig

By Irvin Baxter

The question is not, Is there going to be a World War III? It is in your Bible. There is not a one tenth of one percent chance that it is not going to happen. Another world war is coming, and it will be the biggest world war ever. According to the Bible, one out of three people on the earth will die in this war of all wars! The prophecy is found in Revelation chapter nine, verse 15: And the four angels were loosed, which were prepared for an hour, and a day, and a month, and a year, for to slay the third part of men.

The third part of men would be over two billion people! Other translations read one-third of the human race, one-third of all the people on earth, one-third of humanity. They all say the same thing. A war is just ahead that will wipe out over two billion human beings!

Prior to the 20th Century, there had never been a war with one million fatalities. Then came World War I in 1914, with 8.2 million dead. They called it The Great War. With the founding of the League of Nations, we had hoped that this type of carnage would never happen again. Twenty years later, 52 million people died in World War II. As if something had come unhinged in the human soul, we cried out, How can we ever stop this? With the founding of the United Nations we had hoped that the solution to world peace was at hand. I have the dreadful assignment of telling you, it is not fixed. There is another war coming. There will neither be 8 million dead nor 52 million dead. This war that is coming will kill 2.2 billion, forty times World War II. It will be the worst war ever.

I cant tell you exactly when this is going to happen, but the Bible tells us where World War III will originate. The Sixth Trumpet prophecy is found in Revelation 9:14-15:

Saying to the sixth angel which had the trumpet, Loose the four angels which are bound in the great river Euphrates.And the four angels were loosed, which were prepared for an hour, and a day, and a month, and a year, for to slay the third part of men.

These angels were bound in the Euphrates River, which flows through Turkey, Syria, and Iraq, and empties into the Persian Gulf. War has been raging up and down the Euphrates River since 2003 when the U.S. invaded Iraq. When they are loosed, these evil angels will carry out their assignment to kill one-third of mankind.

Out of the chaos and destruction, a strong leader will rise to promise peace and security. The Antichrist will step onto the world scene at just the right moment. He will provide firm direction but he will also demand absolute obedience.

There are four prophetic developments occurring right now that demonstrate how close we are to the Euphrates River War, otherwise known as World War III.

In Genesis 15:18, God entered into a covenant with Abraham, affirming that the Promised Land would be given to his descendants. The Antichrist, according to Daniel 9: 27 will confirm this covenant with many for seven years. A peace agreement which confirms the covenant will establish Israels right to exist in the Holy Land and will mark the beginning of the final seven years to Armageddon. U. S. Secretary of State John Kerry has set the goal of April 29, 2014 to reach just such a peace agreement between Palestinians and Israelis. A viable two-state solution is the only way this conflict can end, he said, and there is not much time to achieve it, and there is no other alternative.

Halfway through the final seven years, the Antichrist will order the stopping of animal sacrifices on the Temple Mount, which will have been resumed by then. He will then stand in the temple claiming to be God.

II Thessalonians 2:3-4 and Revelation 11:1-2 describe a temple standing on the Temple Mount three and one-half years before Armageddon. Israel has been subsidizing nonprofit organizations that advocate the building of the Third Temple atop Jerusalems holiest site. The Temple Institute is dedicated to the vision of the Temples rebuilding, and has already recreated several items to be used when services are resumed on the Temple Mount.

Revelation 13:16-17 describes the control system which will be implemented during the reign of the Antichrist. During the Great Tribulation, every person on earth will be coerced into pledging allegiance to the Antichrist. Those who do so will be given a unique identification mark or number permitting them to participate in the world economy. Those who refuse will be denied the privilege of buying and selling.

The REAL ID Act mandates that Americans produce federally approved identification upon demand. Although it has repeatedly postponed implementation penalties, the Department of Homeland Security has announced a gradual rollout for enforcing the law, beginning in April, 2014. The Affordable Care Act, often referred to as Obamacare, implements a national ID system disguised within a data hub, and a unique patient identifier to verify eligibility. Concurrently making its way through Congress, as part of an immigration reform bill, is E-Verify, a mandated universal biometric ID required for federal approval for employment.

Middle East unrest continues to boil in Libya, Iraq, Egypt and Jordan. Syria is on the brink of expanding to a full-scale war that could involve the major world powers. Analysts believe Syria may soon become a flashpoint that would divide the region along a battle lines drawn between Shia and Sunni Muslims. Iran is one of Americas and Israels foremost enemies and the Islamic Republic has become one of the most serious threats to stability in the Middle East. As Iran is rapidly achieving nuclear capability, the region will become far more dangerous as the number of countries engaged in nuclear activities grows. The Deputy Commander of Irans Revolutionary Guard has threatened that Tehran is able to destroy every spot in Israel. Germany views Iran as a potential threat not just to Israel, but also to European countries.

WWIII Entrance Ramp for the Antichrist details how this war is going to come out of the Euphrates River area, resulting in the killing of one-third of the human race. It is going to happen and it will affect us, our families, our nation, our world, everything. And it looks like it is coming sooner, rather than later.

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World War 3 | WW3 | WWIII | Endtime Ministries | Irvin ...

WW3 warning: 3AM White House call that saved US from total annihilation exposed – Express.co.uk

Posted on February 8, 2020 by Danzig

The incident came at the height of the Cold War, as the US and Soviet Union jostled to become the ultimate global superpower.On November 9, 1979, acomputer errorat the North American Aerospace Defence Command (NORAD) headquarters caused an alarm and full preparation for alarge-scale nuclear attackfrom the USSR. It led tonational security adviserZbigniew Brzezinskibeing awoken at 3AM to the news that 2,200 ballistic missiles were on their way.

It was a false alarm, but Brzezinski was not to know that and any form of retaliation would have been enough to start a real nuclear war thanks to Mutually Assured Destruction.

Lance Geiger, a history researcher and the man behind The History Guy on YouTube revealed the sobering details on his channel.

He said in 2018:In the early morning of November 9, 1979, in the worlds most advanced bunker, using the brand-new and robust early warning system, the unthinkable happened.

Decades of strategy around massive retaliation, Mutually Assured Destruction collapsed as the screens at the NORAD command centre showed indisputable that Americas worst nightmare had occurred.

The Soviet Union had launched an all-out nuclear attack on the US

Lance Geiger

The Soviet Union had launched an all-out nuclear attack on the US, designed to destroy our command functions and our nuclear weapons.

This was no drill, the Pentagons National Military Command Centre and the Alternate National Military Command Centre all showed the same thing the Soviets had launched more than 200 submarine-launched ballistic missiles.

Following procedure, the launch control centres for Americas 550 Minuteman 3 and 450 Minuteman 2 missiles were given a preliminary warning to prepare for a counter-attack.

Mr Geiger, 55, went on to detail the chain of events that followed.

He added: The crews of the SAC-ready alert bombers were moved to their aircraft emerging from their mole holes to man their B-52 bombers and started their engines.

READ MORE:World War 3: PM's demand to 'monitor' French nukesafter'EU deal'backfired exposed

The entire Continental Air Defence interceptor force, fighter aircrafts tasked to defend the US, was put on alert and at least 10 F-106 Delta Dart fighter interceptors were launched to protect US airspace.

Finally, the Presidents Doomsday Plane, the national emergency airborne command post, was launched without the President or Secretary of Defence on board.

US national security advisor Zbigniew Brzezinski was woken at 3AM by a call from his military assistant Major General William Odom, who informed him that 250Soviet ballistic missiles were headed to the US.

Brzezinski knew that the Presidents decision time to order a retaliation was just three to seven minutes and they were still waiting for satellite confirmation.

A moment later, Odom called again to tell him that the Soviets had now launched 2,200 missilesan all-out nuclear attack.

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But, Brzezinski somehow kept a cool head and though before ordering a retaliation.

That bought enough time for a third phone call.

Mr Geiger said: As Brzezinski prepared to call the President, he made a silent decision of his own, he chose not to wake his wife.

If the world was going to end in half an hour, he would let her go quietly.

Moments later, Odom called for a third time, data from the early-warning satellites were seeing nothing, it was a false alarm.

Later it was determined that software simulating a nuclear attack, intended to test the new system, had inexplicably been transferred into the regular warning display.

As all command centres were linked, they were all showing the same thing.

Unfortunately, the mistake was not the last of its kind, as a computer glitch at NORAD caused three more false alarms a year later.

By May 1981, Soviet fears had reached an all-time high as General SecretaryLeonid Brezhnev andKGB chairmanYuri Andropovbluntly announced that theUSwas preparing a secret nuclear attack on theUSSR.

Andropov revealed the KGB would beginOperation RYaN (Nuclear Missile Attack) the largest, most comprehensive intelligence operation in Soviet history.

Consequently, mass paranoia set in among Soviet leaders regarding the US plans, asmemoriesofNazi Germany's surprise invasion of the USSRstill haunted them.

These fears were not helped by the actionsand rhetoricofnewly-electedUS President Ronald Reagan.

He announced a new medium-range nuclear missile to be introduced into Europe Pershing II which could reach the Soviet Union from West Germany in six minutes.

On March 8, 1983, Reagan brandished the Soviet Union an evil empireduring a press conference, sparkingfury in the Kremlin, who became obsessed Reagan was attempting to smear the communist ideology.

The timing of NATOs yearly Able Archer exercise could not have come at a worse time for the USSR.

In November, Able Archer 83, an exercise to simulate nuclear war, was carried out by NATO forces.

While it was simply a communications test, paranoid Soviet agents believed this was exactly how the US would mask a real attack.

The operation introduced several new elements not seen in previous years, including anewunique format of coded communication,radio silences, and the participation ofheads of government.

It also simulated a move through all alert phases, from DEFCON 5 to DEFCON 1, which KGB agents wrongly assumed to be a real move into the highest nuclear threat.

TheSoviet politburo believed theironly chance of surviving a NATO strike was to preempt it, and so readied its nuclear arsenal.

Days later, on November 11,1983,Soviet fears were completely ended upon learning the Able Archer exercise had finished thanks to double agent Oleg Gordievsky.

Many historians including Thomas Blanton, Director of theNational Security Archive, andTom Nichols, a professor at theNaval War College, have since argued that Able Archer 83 was one of the times when the world has come closest tonuclear warsince theCuban Missile Crisisin 1962.

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WW3 warning: 3AM White House call that saved US from total annihilation exposed - Express.co.uk

World War 3 panic: How Russia lost control of nuclear weapon in shocking test blunder – Express.co.uk

Posted on February 8, 2020 by Danzig

The 9M730 Burevestnik is a Russian experimental nuclear-powered and nuclear-armed cruise missile, which has been dubbed a game-changer for its revolutionary design.The missile is claimed to have virtually unlimited range and was one of six new strategic weapons unveiled by President Vladimir Putin on March 1, 2018, The claims are enough to send a warning to any other nation planning to go into conflict with the Kremlin, but it appears the weapon is quite unreliable.

According to US intelligence, only one of 12 tests have been successful, and the Russian military actually has no idea where one of them went, Dark5s documentary: The Race to Find Russias Lost Nuke revealed.

The series said in 2018: In November of 2017, Russian defence forces launched a high-tech, nuclear-armed missile from a small base called Pankovo on Yuzhny Island, an uninhabited strip of land which has been used in nuclear weapons testing since the Fifties.

The launch was an early-phase test of the extremely powerful Burevestnik missile.

The Burevestnik programme is an attempt by the Kremlin to develop a weapon that is both nuclear-armed and nuclear-powered, meaning it is driven by a sustained nuclear reaction that could potentially allow it to travel unlimited distances and stay in flight for a nearly unlimited amount of time.

During the test launch, however, the missile only travelled for a brief two-minutes before it lost directional control and was sent screaming out of the sky into the remote waters somewhere off the northern coast of Russia.

The series went on to reveal how Russia attempted to find their lost nuke.

It added: After the missile splashed down, the Russian government lost track of its location, and search teams were unable to recover it intact or locate any possible debris.

Given its short flight time, the radius that the missile could have travelled before crashing is limited.

READ MORE: WW3 warning: 3AM White House call that saved US from total annihilation exposed

Yuzhny Island is the southern island of the Novaya Zemlya archipelago that splits the Barents Sea to the west from the Kara Sea to the east.

Given that the launch angle of the missile was decidedly in the northwest direction, away from civilisation, it seems most likely that the downed Burevestnik, a top-secret and potentially game-changing weapon, is still hiding somewhere in the sprawling Barents Sea.

With this information now leaked into the public sphere, its a safe bet that the Russians arent the only ones hunting for it.

In 2018 a Russian naval flotilla set off from Severomorsk.

Theeight ship task forcewas allegedly on a safety of navigation exercise, but the presence of the crane ship KIL-143 raised suspicions that the vessel's real purpose was to recover the lostBurevestnik.

In August last year, a mysterious nuclear blast in the Barents Sea killed seven people.

The US suspected the two events were connected, but Russia has refuted the claims and no evidence has been put forward thus far.

Vyacheslav Solovyov, the scientific director of theRussian Federal Nuclear Centre, said in an interview with a local newspaper that the institute had been studying small-scale sources of energy with the use of fissile materials."

Link:

World War 3 panic: How Russia lost control of nuclear weapon in shocking test blunder - Express.co.uk

US military hinted at using HAARP weather machine in WW3 in 12-year-old report – Daily Star

Posted on February 8, 2020 by Danzig

Conspiracy theorists have long speculated that the defunct HAARP project is secretly being used in warfare, but a 12-year-old document and a speech from the 1990s suggest the US military have at least considered the idea.

The High-frequency Active Auroral Research Program (HAARP) is a cutting edge transmitter facility used to study the properties and behaviour of the ionosphere, located in Alaska.

Its military-funded construction was completed in 2007, but just seven years later the programme was shut down and ownership of HAARP and its capabilities were transferred to the University of Alaska.

For years conspiracy theorists have speculated that the US government is using HAARP to control the weather, an allegation that's been repeatedly denied by officials and scientists.

The recent flare-up in tensions between the US and Iran reignited interest in the theory, with some speculating that should full-scale war break out HAARP would be used by American troops to defeat Iran.

A spate of earthquakes near Iran's Bushehr nuclear power plant only fuelled the theories.

In 2017 the Iranian Deputy Interior Minister for Security and Law Enforcement, Mohammad Hossein Zolfaqari, was forced to issue a public statement denying a connection between the region's repeated earthquakes and HAARP.

American magazine National Review reports that in a speech in 1997, the US Secretary of Defence William Cohen made an oblique reference to military technology that could cause earthquakes and volcanic eruptions.

"...some scientists in their laboratories trying to devise certain types of pathogens that would be ethnic specific so that they could just eliminate certain ethnic groups and races; and others are designing some sort of engineering, some sort of insects that can destroy specific crops," he said.

"Others are engaging even in an eco-type of terrorism whereby they can alter the climate, set off earthquakes, volcanoes remotely through the use of electromagnetic waves."

National Review speculates he may have been referring to a HAARP prototype, but casts doubt on whether members of the Trump administration could quiet about possessing earthquake weapons.

A 12-year-old document also contains evidence that the US military planned to invest in "weather modification" technology in the interest of national security.

Air Force 2025, a 3,300-page report featuring contributions from technologists, futurists, science fiction writers, scientists, historians, active military officers and retired Air Force generals, was published in 2008.

It predicts the most pressing dangers facing the US in the decades to come, and devises potential defence strategies to combat them.

One such proposal was the creation of a "Spacebased High-Energy Laser System" - a hugely powerful chemical laser with the ability to hit targets on the ground, in the air and in space.

"At lower power settings, it could disable enemy optics, perform passive sensing missions, actively illuminate a target with a laser, or even modify the weather," an article analysing the report reads. "Between fifteen and twenty such satellites could provide global coverage."

In an excerpt from the report itself published by Global Research, experts seem convinced that militarised weather manipulation is not a far-fetched fantasy but only a matter of time.

"Weather modification will become a part of domestic and international security and could be done unilaterally," it reads.

"It could have offensive and defensive applications and even be used for deterrence purposes. The ability to generate precipitation, fog, and storms on earth or to modify space weather, and the production of artificial weather all are a part of an integrated set of technologies which can provide substantial increase in US, or degraded capability in an adversary, to achieve global awareness, reach, and power."

It's unlikely that Iran's earthquakes were caused by HAARP or that the programme will be used in future attacks, but there's ample evidence its potential capabilities once formed a key part of the US defence strategy.

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US military hinted at using HAARP weather machine in WW3 in 12-year-old report - Daily Star

Why We Need To Focus On The Positives Of AI – Forbes

Posted on February 8, 2020 by Danzig

Getty

AI is everybodys pet bogeyman these days.

Theres a lot of apprehension about AI these days, and for good reason. Some of the talk is about predictions of automation and job loss. Some of it is about the possibility of AI consciousness. And some of it is just off-the-wall conspiracy theory stuff most of us would be best off to ignore altogether.

Many people tend to think of AI as purely an automation technology, but that just skims the surface of what these tools and techniques can do for us. While I do acknowledge that AI has some potential downsidesespecially as it relates to ethics and misinformationhere, Id like to focus on the many positives of AI. Because trulyfor every negative associated with AI, there are multiple good things already improving the quality of business for companies, and the quality of life for humans, worldwide.

The key to understanding AIs potential for good is to look at its contributions to our lives in three key areas: automating processes, augmenting human decision making, and providing greater sensor-fed awareness of environmental context in real time.

Heres where I put in a good word for AI-facilitated automation. It has made the lives of employees in my company so much easier. They can pass off tedious, repetitive tasks and focus on things that really matter. From small things like creating a bit.ly for a blog article weve created, to larger things like email database management, we have programs powered by AI-automated processes that help us do all of that.

Some observers think that AI-automated processes are inherently biased, but thats not true Most of know humans can be biased, which can create problems at work. We tend to want to hire people who are like uswho agree with uswho want the same things we do. However, we also know that diversity is what strengthens an organization. Differing opinions make ideas stronger. Differing viewpoints make products better. Using AI, companies are able to remove human bias from the hiring processat least to a degree.

Yes, algorithms can be biased, as weve learned. But after some false starts, I think well see some improvements in AI-based recruitment, especially in the area of. recruitment for diversity.

One of the most obvious positives of AI, to me, is the fact that it is empowering businesses everywhere to gain even deeper understanding about their customers. Its allowing companies to meet their customers where they arein the most literal sensebe it outside the movie theater, on their drive home from work, on their couch in the family room. And companies are able to offer their customers deals, products, and opportunities that truly matter to them. Yes, there is bad AI.

Yes, I do get personalized marketing that is off. But by and large, as AI quality and data processing improve, businesses will be able to do much more effective marketing, and customers will be able to receive only the marketing that actually pertains to them. Which is pretty awesome.

Plus from the consumer standpoint, isnt it pretty great to get a discount for something you buy regularly? I think so!

As the Internet of Things, smartphones, smart cameras, and the like come into our lives, AI is an essential tool for helping us stay aware of whats going on in our surroundings, for predicting what might happen, and taking appropriate responses.

Making Life Safer

On almost every level, AI has the potential to make life safer for people. This is especially true in the area of dangerous jobssuch as military work, engineering and construction work, and policing. As robots are able to take a first-responder role in doing the jobs that people have had to risk their lives for thousands of years, we can all be grateful for the lives it saves. In addition to frontline work, AI is helping people train on jobs in a safer wayfor instance, preparing for flight, space travel, and even performing medical procedures.

Outside of the work arena, AI is almost making it safer to live in our neighborhoods and communities. Smart cameras can be found all over cities throughout the world, helping alert law enforcement to potential hazards, and helping to identify suspects in certain cases.

Democratizing Healthcare

Currently, those who live in rural area have far less access to quality healthcare. In fact, information from the Center for Disease Control shows 20% of Americans have no access to a doctor at all. One of the positives of AI is that it helps democratize healthcare by making remote and mobile health a reality. Using AI, doctors in distant cities can be notified in real-time on the health matters of their patients and give insights, advice, diagnoses, etc., to those who need them.

Aging in Place

Research shows most older people want to age in their own homes. And thanks to AI and other new technologies, thats increasingly possible. Because AI can help remind those suffering from dementia to take their medications, eat their meals, and even find their TV remote, its offering new levels of independence to those who may traditionally had to live with friends or in assisted living communities. Other positives of AI include being able to remotely monitor our loved ones health, arrange food and transportation, and even notify loved ones when the older person is walking and may be in danger of a fall. That type of freedom is priceless for aging people.

Coding for Disaster Response

You may have been following the annual Call for Code event, which allows developers around the world to gather together to build apps and new technologies to help with global disasters. Though its only been around a few years, some of its solutions are already being put to work, creating real-life answers to problems like finding victims following a disaster, accessing the Internet when most WiFI options would be inaccessible, and divvying up resources following an emergency. This isnt just cool; it will literally save lives.

Its important that we focus on the positives that AI can bring to our society. While the technology will require a tremendous amount of management in areas like policy, ethics, privacy and security, the potential of the technology to enhance our lives is significant and Im excited to watch it become a bigger part of our lives with each passing day.

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Why We Need To Focus On The Positives Of AI - Forbes

2020-2025 Worldwide 5G, Artificial Intelligence, Data Analytics, and IoT Convergence: Embedded AI Software and Systems in Support of IoT Will Surpass…

Posted on February 8, 2020 by Danzig

The "5G, Artificial Intelligence, Data Analytics, and IoT Convergence: The 5G and AIoT Market for Solutions, Applications and Services 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This research evaluates applications and services associated with the convergence of AI and IoT (AIoT) with data analytics and emerging 5G networks. The AIoT market constitutes solutions, applications, and services involving AI in IoT systems and IoT support of various AI facilitated use cases.

This research assesses the major players, strategies, solutions, and services. It also provides forecasts for 5G and AIoT solutions, applications and services from 2020 through 2025.

Report Findings:

The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) has the potential to dramatically accelerate the benefits of digital transformation for consumer, enterprise, industrial, and government market segments. The author sees the Artificial Intelligence of Things (AIoT) as transformational for both technologies as AI adds value to IoT through machine learning and decision making and IoT adds value to AI through connectivity and data exchange.

With AIoT, AI is embedded into infrastructure components, such as programs, chipsets, and edge computing, all interconnected with IoT networks. APIs are then used to extend interoperability between components at the device level, software level, and platform level. These units will focus primarily on optimizing system and network operations as well as extracting value from data.

It is important to recognize that intelligence within IoT technology market is not inherent but rather must be carefully planned. AIoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices such as appliances, which may rely upon a combination of local and cloud-based intelligence.

Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nerve end-points that act like nerve endings for neural transport (detection and triggering of communications) and nerve channels that connect the overall system. The big difference is that the IoT technology market will benefit from engineering design in terms of AI and cognitive computing placement in both centralized and edge computing locations.

Taking the convergence of AI and IoT one step further, the publisher coined the term AIoT5G to refer to the convergence of AI, IoT, 5G. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

As IoT networks proliferate throughout every major industry vertical, there will be an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will drive substantial opportunities for AI support of unstructured data analytics solutions. Data generated from IoT supported systems will become extremely valuable, both for internal corporate needs as well as for many customer-facing functions such as product life cycle management.

There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AIoT5G. AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Research Benefits

Key Topics Covered

1. Executive Summary

2. Introduction

3. AIoT Technology and Market

4. AIoT Applications Analysis

5. Analysis of Important AIoT Companies

6. AIoT Market Analysis and Forecasts 2020-2025

7. Conclusions and Recommendations

Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2020-2025

1. Executive Summary

2. Introduction

3. Overview

4. AI Technology in Big Data and IoT

5. AI Technology Application and Use Case

6. AI Technology Impact on Vertical Market

7. AI Predictive Analytics in Vertical Industry

8. Company Analysis

9. AI in Big Data and IoT Market Analysis and Forecasts 2020-2025

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10. Conclusions and Recommendations

11. Appendix

5G Applications and Services Market by Service Provider Type, Connection Type, Deployment Type, Use Cases, 5G Service Category, Computing as a Service, and Industry Verticals 2020-2025

1. Executive Summary

2. Introduction

3. LTE and 5G Technology and Capabilities Overview

4. LTE and 5G Technology and Business Dynamics

5. Company Analysis

6. LTE and 5G Application Market Analysis and Forecasts

7. Conclusions and Recommendations

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/rigm8o

View source version on businesswire.com: https://www.businesswire.com/news/home/20200207005390/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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2020-2025 Worldwide 5G, Artificial Intelligence, Data Analytics, and IoT Convergence: Embedded AI Software and Systems in Support of IoT Will Surpass...

Facebook’s radioactive data tracks the images used to train an AI – MIT Technology Review

Posted on February 8, 2020 by Danzig

The news: A team from Facebook AI Research has developed a way to track exactly which images in a data set were used to train a machine-learning model. By making imperceptible tweaks to images, creating a kind of watermark, they were able to make tiny corresponding changes to the way an image classifier trained on those images works, without impairing its overall accuracy. This let them later match models up with the images that were used to train them.

Why it matters: Facebook calls the technique radioactive data because it is analogous to the use of radioactive markers in medicine, which show up in the body under x-ray. Highlighting what data has been used to train an AI makes models more transparent, flagging potential sources of biassuch as a model trained on an unrepresentative set of imagesor revealing when a data set was used without permission or for inappropriate purposes.

Make no mistake: A big challenge was to change the images without breaking the resulting model. Tiny tweaks to an AIs input can sometimes lead to it making stupid mistakes, such as identifying a turtle as a gun or a sloth as a racecar. Facebook made sure to design its watermarks so that this did not happen. The team tested its technique on ImageNet, a widely used data set of more than 14 million images, and found that they could detect use of radioactive data with high confidence in a particular model even when only 1% of the images had been marked.

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Facebook's radioactive data tracks the images used to train an AI - MIT Technology Review

Dave Copps’ stealthy AI startup emerges with $10 million in backing – The Dallas Morning News

Posted on February 8, 2020 by Danzig

Dallas entrepreneur Dave Copps new venture is coming out of stealth mode with $10 million in backing from the venture funds of two energy giants and an Austin private equity firm.

Copps company, Worlds, is developing an artificial intelligence platform with applications for the energy industry. Its being spun out of Hypergiant Sensory Sciences, a division of Hypergiant Industries founded by Dallas serial entrepreneur Ben Lamm. Hypergiant designs AI tools to help companies decipher big data.

The funding round led by Austin-based Align Capital brought in the investing arms of oil giants Chevron and Petronas. Hypergiant Industries is also an investor.

Worlds technology combines artificial intelligence and internet of things capabilities in a 4D environment, giving companies what it describes as active physical analytics. The company is led by Copps and Chris Rohde, who launched and sold two previous machine learning and AI companies. Brainspace, one of their prior startups, sold in 2016 as part of $2.8 billion deal to turn a large footprint of data centers and several companies into a global cybersecurity firm.

Barbara Burger, president of Chevron Technology Ventures, said its investment in Worlds reflects a belief that digital innovation plays a critical role in accelerating business value at Chevron.

Its also the first disclosed investment by San Francisco-based Piva, a recently launched venture capital firm and Petronas subsidiary that operates independently from the Malaysian company, according to tech web site Axios. Piva is looking to invest its first $250 million fund in disruptive energy and industrial startups.

Piva CEO Ricardo Angel wrote in a blog post that hes long been impressed with Copps and Rohde.

Weve seen them build great teams, great companies and great technologies before, and weve been highly looking forward to seeing what they do next, he said.

AI and automation companies like Worlds will play a critical part in industrys future, Angel said.

Were seeing many corporations in verticals such as oil and gas, manufacturing and logistics, investing in hardware solutions often generating too much data without getting valuable insights, he wrote. As the number of IoT devices continues to grow, so will the need for AI and machine learning solutions to help manage the massive influx of data these devices will create.

Worlds funding round continues the fast start this year for Dallas-based startups in attracting growth capital. At least $86 million in funding has flowed into the region in the first five weeks of the year.

North Texas startups and early stage companies attracted more than $753 million in growth capital last year, up nearly 35% from $560 million in 2018, according to data compiled by the National Venture Capital Association and PitchBook.

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Dave Copps' stealthy AI startup emerges with $10 million in backing - The Dallas Morning News

AI could help design better drugs that don’t clash with other medication – MIT Technology Review

Posted on February 8, 2020 by Danzig

A new system that can predict a proposed drugs chemical structure could help prevent adverse drug interactions, one of the leading causes of patient death.

Why it matters: According to the FDA, serious adverse drug interactions could kill more than 100,000 hospitalized people in the US every year. But traditional ways of avoiding such interactions during drug development require expensive and laborious physical testing and clinical trials to catalogue all the proposed drugs possible chemical interactions with existing ones.

How it works: The system takes in two different drugs and generates a prediction for how or whether they will interact. To get there, the researchers first developed a new way to represent the 3D chemical structures of drugs in a character format that could be read by a neural network. The drug melatonin, for example, is represented by CC(=O)NCCC1=CNc2c1cc(OC)cc2, while morphine is represented by CN1CCC23C4OC5=C(O)C=CC(CC1C2C=CC4O)=C35.

They then translated a database of known drug interactions into this format and trained a neural network. The resulting system predicts the probability that two drugs will have an adverse interaction and shows the particular parts of the molecule that contributed to that prediction.

The results: When the researchers tested their system on two common drug interaction data sets, it performed better than state-of-the-art results from existing AI systems. The paper, which was led by researchers at health information technology company IQVIA, is being presented at the proceedings of the Association for the Advancement of Artificial Intelligence later this week.

Co-pilot: The new techniques for analyzing chemical data could have many other applications, including drug and material design. There's just an awful lot of the modern world that depends on chemistry, says David Cox, the IBM director of the MIT-IBM Watson AI Lab, a member of which coauthored the paper. Theres tremendous potential for AI to be a copilot for us, augmenting our ability to reason about chemical interactions, properties, and qualities.

Correction:An earlier version of this article misstated David Coxs title as director. He is the IBM director.

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AI could help design better drugs that don't clash with other medication - MIT Technology Review

This girls-only app uses AI to screen users genders what could go wrong? – The Verge

Posted on February 8, 2020 by Danzig

A new social app called Giggle is pitching itself as a girls-only networking platform. To sign up, users have to take a selfie. And while that might not sound too invasive, the app then uses bio-metric gender verification software to determine whether that person is a woman. If that wasnt already bad enough, the technology doesnt work if youre trans.

[G]iggle is for all girls, the company points out on its website, before adding, Due to the gender-verification software that giggle uses, trans-girls will experience trouble with being verified. Its the stuff of a dystopian novel.

Giggle, founded by Australian screenwriter Sall Grover, supposedly looks at the bone structure of a persons face to determine their gender. Thats problematic on a number of fronts, not least of which is that bone structure is clearly a poor indicator of gender identity. Nevertheless, Giggle says the science is sound. Its Bio-Science, not pseudo-science like phrenology, the website declares.

Except it sounds a lot like pseudo-science. On Twitter, people called out the apps inherent transphobia. We shall await our judgement like sheep, one user wrote. All it takes is one selfieif giggle lets us in, we are welcomed into the society of women, to pass forevermore. If not, we shall be abandoned in a heap of offals and excrement.

Grover responded to the criticism, tweeting that shed consulted trans women while building the app and determined it was best to openly admit the softwares limits. We worked with trans girls who decided it was best to be upfront with a flaw so there wasnt any hurtful misgendering, she explained. Later, she said she was grateful for the feedback and agreed that some of the wording on the website was hideous.

The apps privacy policy is also a cause for concern, however. As one Twitter user pointed out, Giggle can collect a ton of personal information, including peoples images, location, preferences, and browsing data. Giggle is able to then share that information with third-party websites and services, including facial recognition providers, chat room providers, and marketers. It also collects sensitive information including peoples sexual practices or sex life, their criminal records, and their private health information.

Its unclear why Giggle would need access to such granular data, given that its goal is primarily to connect women with potential roommates or travel buddies. But in an era of ever-expanding surveillance, with companies like Clearview AI identifying peoples faces without their knowledge or consent, an app built on dubious biometric screening and extensive data collection should be cause for concern. While Giggles website says the app is designed to give girls choice, control and connection, its technology seems to do just the opposite.

Giggle did not immediately respond to a request for comment.

Japanese Scientists Develop AI to Show What The Universe is Made Of – Tech Times

Posted on February 8, 2020 by Danzig

A multi-university team of researchers from Japan creates the world's fastest astrophysics simulator using anartificial intelligence(AI) system to predict the shape of the universe itself. The scientists hope that in doing so, they'll liberate the mysteries surrounding dark matter and dark energy.

Dubbed "Dark Emulator," the AI device parses massive troves of astrophysics data. The device makes use of the facts to build simulations of our universe. It taps into a big database complete of records gleaned from special telescopes that compare current data with what scientists anticipate based on theories surrounding the universe's origin.

The simulation basically attempts to demonstrate what theuniversemay look like, such as its edges, based on the big bang concept and the subsequent rapid growth that keeps taking place.

The lead author on the team's research paper, Takahiro Nishimichi, toldPhys.Orgthey built an "extraordinarily" big database using asupercomputer, which took them three years to finish.

"Using this result, I hope we could work toward uncovering the greatest mystery of modern physics, which is to uncover what dark energy is," Nishimichi said.

Scientists would be able to form better theories on how dark matter works by understanding the overall cosmology of the entire universe. However, nobody could still prove that dark matter exists through scientific rigor, observation, and measurement. And that leaves astrophysicists struggling to provide a unified concept of the universe that encompasses all of the different thoughts in play.

ALSO READ:Different Versions Of Reality Can Exist In The Quantum World, Study Confirms

Nishimichi said the method they've conceptualized would be useful in other fields such as natural sciences or social sciences.

The group from Japan hopes to reconcile theories with the information we're capable of glean from Dark Emulator. The AI gadget doesn't merely analyze information for free ends; it learns from every simulation it creates and uses the output to tell the subsequent iteration.

It does this by studying the invisible tendrils between galaxies and performing astronomical (literally) feats of mathematics to create more specific simulations. According to apaperthe group posted in Astrophysical Journal, it's extraordinarily accurate.

"The emulator predicts the halo-matter cross-correlation, relevant for galaxy-galaxy lensing, with an accuracy better than 2% and the halo autocorrelation, applicable for galaxy clustering correlation, with an accuracy higher than 4%."

ALSO READ:Theory Explains Dark Matter By Finding A Link Between Quantum Mechanics And General Relativity

Eventually, this technology could help flesh out our know-how of the universe and permit scientists to determine exactly what dark matter is and how darkish energy works. For now, the move would mean filling in some big blanks we have in our know-how of what the universe honestly looks like.

But in the future, having clear information of darkish energy could result in myriad far-off technology fiction technology along with warp drives, time-travel, and teleportation. That is, of course, if dark matter even exists.

ALSO READ:Is Artificial Intelligence Really A Threat To Humanity?

Controversial facial recognition software being used to identify child victims of sexual… – Business Insider – Business Insider

Posted on February 8, 2020 by Danzig

Police departments across the United States are paying tens of thousands of dollars apiece for access tosoftware that identifies faces using images scraped from major web platformslike Google, Facebook, YouTube, and Twitter.

The software is produced by a relatively unknown tech startup named Clearview AI, and the company is facing major pushback over its data-gathering tactics, which wereearlier reported by The New York Times. It pulls images from the web and social media platforms, without permission, to create its own, searchable database.

Put simply: The photos that you uploaded to your Facebook profile could've been ripped from your page, saved, and added to this company's photo database.

Photos of you, photos of friends and family all of it is scraped from publicly available social media platforms, among other places, and saved by Clearview AI. That searchable database is then sold to police departments and federal agencies.

Those law enforcement groups are using those photos for, among other things, identifying child victims of abuse. According to a report in The New York Times on Friday, police departments across the US have repeatedly used Clearview's application to identify "minors in exploitative videos and photos."

In one example from the report, Clearview's application assisted in making 14 positive IDs attached to a single offender.

The company doesn't hide the fact that its software is used as such. "Clearview helps to exonerate the innocent, identify victims of child sexual abuse and other crimes, and avoid eyewitness lineups that are prone to human error," the company's website reads.

It's a clear upside to a piece of technology that comes with major tradeoffs many of the billions of photos Clearview scraped from the internet weren't intended for use in a commercially sold, searchable database. The company pulls its photos from "the open web," including services like YouTube, Facebook, and Twitter.

The companies in charge of the services it pulls from have issued cease-and-desist letters to Clearview. They each have provisions explicitly spelled out in their user agreements to prevent this type of misuse.

"YouTube's Terms of Service explicitly forbid collecting data that can be used to identify a person," YouTube spokesperson Alex Joseph told Business Insider in an email on Wednesday morning. "Clearview has publicly admitted to doing exactly that, and in response we sent them a cease and desist letter."

Twitter sent a similar letter in late January, and Facebook sent one this week as well.

Facial recognition technology has existed for years, but searchable databases tied to facial recognition are something new. APPhoto/Mike Derer

Clearview AI CEO Hoan Ton-That argues that his company's software isn't doing anything illegal, and doesn't need to delete any of the images it has stored, because it's protected under US law. "There is a First Amendment right to public information," he told CBS This Morning in an interview published on Wednesday morning. "The way that we have built our system is to only take publicly available information and index it that way."

As for his response to the cease-and-desist letters? "Our legal counsel has reached out to them, and are handling it accordingly."

Ton-That said that Clearview's software is being used by "over 600 law enforcement agencies across the country" already. Contracts to use the service cost as much as $50,000 for a two-year deal.

Clearview AI's lawyer, Tor Ekeland, told Business Insider in an emailed statement, "Clearview is a photo search engine that only uses publicly available data on the Internet. It operates in much the same way as Google's search engine. We are in receipt of Google and YouTube's letter and will respond accordingly."

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Controversial facial recognition software being used to identify child victims of sexual... - Business Insider - Business Insider

Realizing the Potential of AI Localism | by Stefaan G. Verhulst & Mona Sloane – Project Syndicate

Posted on February 8, 2020 by Danzig

With national innovation strategies focused primarily on achieving dominance in artificial intelligence, the problem of actually regulating AI applications has received less attention. Fortunately, cities and other local jurisdictions are picking up the baton and conducting policy experiments that will yield lessons for everyone.

NEW YORK Every new technology rides a wave from hype to dismay. But even by the usual standards, artificial intelligence has had a turbulent run. Is AI a society-renewing hero or a jobs-destroying villain? As always, the truth is not so categorical.

As a general-purpose technology, AI will be what we make of it, with its ultimate impact determined by the governance frameworks we build. As calls for new AI policies grow louder, there is an opportunity to shape the legal and regulatory infrastructure in ways that maximize AIs benefits and limit its potential harms.

Until recently, AI governance has been discussed primarily at the national level. But most national AI strategies particularly Chinas are focused on gaining or maintaining a competitive advantage globally. They are essentially business plans designed to attract investment and boost corporate competitiveness, usually with an added emphasis on enhancing national security.

This singular focus on competition has meant that framing rules and regulations for AI has been ignored. But cities are increasingly stepping into the void, with New York, Toronto, Dubai, Yokohama, and others serving as laboratories for governance innovation. Cities are experimenting with a range of policies, from bans on facial-recognition technology and certain other AI applications to the creation of data collaboratives. They are also making major investments in responsible AI research, localized high-potential tech ecosystems, and citizen-led initiatives.

This AI localism is in keeping with the broader trend in New Localism, as described by public-policy scholars Bruce Katz and the late Jeremy Nowak. Municipal and other local jurisdictions are increasingly taking it upon themselves to address a broad range of environmental, economic, and social challenges, and the domain of technology is no exception.

For example, New York, Seattle, and other cities have embraced what Ira Rubinstein of New York University calls privacy localism, by filling significant gaps in federal and state legislation, particularly when it comes to surveillance. Similarly, in the absence of a national or global broadband strategy, many cities have pursued broadband localism, by taking steps to bridge the service gap left by private-sector operators.

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As a general approach to problem solving, localism offers both immediacyand proximity. Because it is managed within tightly defined geographic regions, it affords policymakers a better understanding of the tradeoffs involved. By calibrating algorithms and AI policies for local conditions, policymakers have a better chance of creating positive feedback loops that will result in greater effectiveness and accountability.

Feedback loops can have a massive impact, particularly when it comes to AI. In some cases, local AI policies could have far-reaching effects on how technology is designed and deployed elsewhere. For example, by establishing an Algorithms Management and Policy Officer, New York City has created a model that can be emulated worldwide.

AI localism also lends itself to greater policy coordination and increased citizen engagement. In Toronto, a coalition of academic, civic, and other stakeholders came together to ensure accountability for Sidewalk Labs, an initiative launched by Alphabet (Googles parent company) to improve services and infrastructure through citywide sensors. In response to this civic action, the company has agreed to follow six guidelines for responsible artificial intelligence.

As this example shows, reform efforts are more likely to succeed when local groups, pooling their expertise and influence, take the lead. Similarly, in Brooklyn, New York, the tenant association of the Atlantic Plaza Towers (in collaboration with academic researchers and nongovernmental organizations) succeeded in blocking a plan to use facial recognition technology in lieu of keys. Moreover, this effort offered important cues for how AI should be regulated more broadly, particularly in the context of housing.

But AI localism is not a panacea. The same tight local networks that offer governance advantages can also result in a form of regulatory capture. As such, AI localism must be subject to strict oversight and policies to prevent corruption and conflicts of interest.

AI localism also poses a risk of fragmentation. While national approaches have their shortcomings, technological innovation (and the public good) can suffer if AI localism results in uncoordinated and incompatible policies. Both local and national regulators must account for this possibility by adopting a decentralized approach that relies less on top-down management and more on coordination. This, in turn, requires a technical and regulatory infrastructure for collecting and disseminating best practices and lessons learned across jurisdictions.

Regulators are only just beginning to recognize the necessity and potential of AI localism. But academics, citizens, journalists, and others are already improving our collective understanding of what works and what doesnt. At The GovLab, for example, we are deepening our knowledge base and building the information-sharing mechanisms needed to make city-based initiatives a success. We plan to create a database of all instances of AI localism, from which to draw insights and a comparative list of campaigns, principles, regulatory tools, and governance structures.

Building up our knowledge is the first step toward strengthening AI localism. Robust governance capacities in this domain are the best way to ensure that the remarkable advances in AI are put to their best possible uses.

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Realizing the Potential of AI Localism | by Stefaan G. Verhulst & Mona Sloane - Project Syndicate

Artificial Intelligence, Privacy, And The Choices You Must Make – Forbes

Posted on February 8, 2020 by Danzig

The smart use of AI requires thoughtful choices.

Our lives are full of trade-offs.

Speed versus accuracy. Efficiency versus predictability. Flexibility versus commitment. Surely Some versus Maybe More.

Artificial Intelligence (AI) presents us with yet another round of trade-offs. Theres no doubt about AIs labor-saving benefits. But at what price? And are the benefits worth the price?

For some thoughtful insights we can turn to Rhonda Scharfs bookAlexa Is Stealing Your Job: The Impact of Artificial Intelligence on Your Future.

In the first part of my conversation with Rhonda (see What Role Will [Does] Artificial Intelligence Play In Your Life?), we explored the evolution of AI in recent years. In this second part of the conversation, Rhonda addresses the all-important issue of privacy and the ways AI is already affecting career choices and opportunities.

Rodger Dean Duncan:If theyre concerned about privacy with their technology devices, what can people do?

Rhonda Scharf

Rhonda Scharf:Turning off the geotracking on your cell phone doesnt mean you cant be tracked. You can be tracked through your phones internal compass, air pressure reading, weather reports, and more. Your location can be accurately identified, even if you are on an airplane!

So, I say, too little, too late. Even if you refuse to use any technology at all, the fact that your cousin posted your photo online means you can be facially identified in the future.

That doesnt mean you have zero privacy, or that big brother is watching. You can limit the privacy invasion by shutting off your phone, passing on wearable technology, removing yourself from social media, and making sure you have no AI gadgets in your home (thermostats, smart speakers, automated plugs, motion sensors, etc.). However, youll remove a lot of conveniences as well as the time- and money-saving features that come with them.

Is it worth it? For some, yes. For me, no. Ill give up my privacy for convenience and support. My theory is that Ive got nothing to hide, so why worry?

Duncan:With rapid advances in AI, the choices for workers seem clearpassively wait for technology to replace their jobs, or be proactive and strategic in discovering how to use technology to create better careers. What are the keys to succeeding with the latter approach?

Scharf:It is essential to ask a lot of questions to determine how quickly youll need to make changes to protect your career.

By asking yourself these key questions, you will open your eyes to your imminent future. By responding rather than reacting, you can create a better career.

Duncan:What contributions do you expect AI to make in the fields of teaching and learning?

If you don't want to be left behind, you'd better get educated on AI.

Scharf:There is undoubtedly potential for AI to impact the fields of teaching and learning through the use of systems, such as the automatic grading of papers (the same way AI can scan resumes and identify ideal applicants today).

Imagine if droids or chatbots taught our children. Each child would have a customized learning environment, with the lessons specific to the needs of the child. Imagine having the ability to ask every single question you needed to ask, and having things explicitly explained for you. AI would know that it took you 10 percent longer than average to answer a math question about fractions. It would instinctively know you were taking a little longer to process this information, indicating you were struggling with it. The chatbot or droid would see that you needed more time or more review with that concept. Classrooms would no longer move at the speed of the slowest learners but instead move at the speed of each learner.

Duncan:What can todays companies learn from the Blockbuster versus Netflix experience?

Scharf:Blockbuster was a giant in the video-rental business. But six years after its peak in the market, it filed for bankruptcy. This wasnt because Blockbuster refused to adapt (the company added video games, video-on-demand, DVDs by mail, etc.). It was because its executives lacked vision; they adapted but didnt forecast.

Netflix did the opposite and forecasted its future based on the changing needs of its clients. Interesting enough, Netflix offered itself for sale to Blockbuster for only $50 million, and Blockbuster turned it down. Netflix is currently worth shy of $135 billion, which makes it the worlds most highly valued media and entertainment company.

When we look to a future with AI, we need to look further than next week. Strategic planning needs to be strategic, not reactive. By taking a long-range view, you can stay ahead of the curve. If you havent employed any AI in your business at this point, you are already reactive. Jump on the bandwagon now; otherwise, youll end up just like Blockbuster: a great company with lousy vision. AI is your prescription for a bright future.

Next: How Will Your Career Be Impacted By Artificial Intelligence?

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Artificial Intelligence, Privacy, And The Choices You Must Make - Forbes

Software that swaps out words can now fool the AI behind Alexa and Siri – MIT Technology Review

Posted on February 8, 2020 by Danzig

The news: Software called TextFooler can trick natural-language processing (NLP) systems into misunderstanding text just by replacing certain words in a sentence with synonyms. In tests, it was able to drop the accuracy of three state-of-the-art NLP systems dramatically. For example, Googles powerful BERT neural net was worse by a factor of five to seven at identifying whether reviews on Yelp were positive or negative.

How it works: The software, developed by a team at MIT, looks for the words in a sentence that are most important to an NLP classifier and replaces them with a synonym that a human would find natural. For example, changing the sentence The characters, cast in impossibly contrived situations, are totally estranged from reality to The characters, cast in impossibly engineered circumstances, are fully estranged from reality makes no real difference to how we read it. But the tweaks made an AI interpret the sentences completely differently.

Why it matters: We have seen many examples of such adversarial attacks, most often with image recognition systems, where tiny alterations to the input can flummox an AI and make it misclassify what it sees. TextFooler shows that this style of attack also breaks NLP, the AI behind virtual assistantssuch as Siri, Alexa and Google Homeas well as other language classifiers like spam filters and hate-speech detectors. The researchers say that tools like TextFooler can help make NLP systems more robust, by revealing their weaknesses.

Continued here:

Software that swaps out words can now fool the AI behind Alexa and Siri - MIT Technology Review

AI Weekly: Announcing our AI and security special issue – VentureBeat

Posted on February 8, 2020 by Danzig

VentureBeats second special issue is nigh. Following Power in AI, this one is focused on AI and security. Each special issue explores a central topic from a variety of angles and includes voices from the tech industry, academia, and our newsroom.

Whether were aware of it or not, AI and cybersecurity technology are nearly omnipresent in our daily lives, and theyre only gaining importance as our world becomes more connected, intelligent, and reliant on online or automated systems. Yet both can seem intractably technical, even to tech-savvy people, with an ominous gravity that multiplies at the intersection of their Venn diagrams. The easy metaphor is that cybersecurity is an escalating arms race between good actors and bad actors, while the advent of AI is proverbial nuclear warfare.

Some of thats true, but the reality is far more illuminating, nuanced, and accessible. Huge cybersecurity threats can be amplified by AI technologies, so cybersecurity experts need to employ AI to protect us and they are. In this issue, well discuss how some threats are more sophisticated than ever, but most are not. Well learn that even as attack and defense systems are supercharged by technology, the need for human expertise has become more critical, not less. And well look at practical solutions to some of the most onerous threats, like deepfakes and the increasing presence of AI-powered cameras.

Cybersecurity is a battlefield, and AI is creating new fronts in that war, with freshly minted weapons and means of defense. But in this special issue, we took a less charged approach, pulling from dozens of interviews with vendors and researchers to understand whats really going on with AI and security and how we should think about it.

Even with the added layer of AI technologies, when it comes to security, theres nothing new under the sun, or at least very little. It remains an endless cycle of emerging technology that begets both threats and defenses. Thats simultaneously frightening and reassuring.

To get the VentureBeat AI and Security special issue in your inbox on Tuesday morning, February 11, sign up here.

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AI Weekly: Announcing our AI and security special issue - VentureBeat

For Hyland, interoperability, clinical AI and cloud adoption are the HIMSS20 trends to watch – Healthcare IT News

Posted on February 8, 2020 by Danzig

Hyland, a vendor of content services and enterprise imaging technologies, will have a major presence at the HIMSS20 Global Conference. Its a big player in healthcare information technology, and has a team with decades of experience in the industry.

Ahead of HIMSS20, Healthcare IT News interviewed Susan deCathelineau, senior vice president of healthcare sales and services at Hyland. She offers her perspective on the key trends impacting conference attendees. She identifies interoperability, AI for clinical uses, and providers finally embracing the cloud as three trends that healthcare CIOs and other health IT leaders should be on top of.

The healthcare industry is more than 10 years removed from the passing of the Health Information Technology for Economic and Clinical Health Act (HITECH) and much of the industry still is struggling with health IT interoperability.

Achieving an infrastructure where patient information is securely and easily exchanged not only within a health system but also throughout the care continuum is important because it is the basis for delivering a longitudinal digital record that travels with the patient, deCathelineau asserted. Furthermore, it is absolutely essential to delivering on the promise of patient-centered care, she added.

Universal adoption of technology standards and integration with dated legacy systems are obviously two hurdles to interoperability that need to be overcome, she said. However, another is ensuring unstructured data is properly identified, consolidated and managed as part of the overall digital patient record.

Susan deCathelineau, Hyland

Much of the interoperability focus to date has been on ensuring structured patient data is easily interoperable and exchanged. On the other hand, unstructured information such as clinical documents, narratives, consents and images has largely been overlooked and often represents a larger chunk of the historical data that exists on a patient, she said.

In fact, analysts like Gartner and IDC estimate that as much as 80% of patient information exists in an unstructured format outside of core clinical systems such as an electronic health record, she added.

The importance of unstructured data to the interoperability equation was accentuated by some recent research HIMSS Media conducted with support from Hyland Healthcare. More than 115 healthcare leaders from healthcare provider organizations were surveyed for this research and 53% of respondents identified managing unstructured data as a primary barrier to interoperability.

Survey participants also mentioned that, on average, 73% of the unstructured patient data that exists in their organizations is inaccessible to key clinical stakeholders for review and analysis. When this information is absent from the digital patient record, a clinicians view of that patient is woefully incomplete, she asserted.

HIMSS 2020 attendees should be sure theyre including unstructured data considerations in their interoperability initiatives, she advised.

AI is one of the hottest trends in healthcare and for good reason: It has the potential to truly transform healthcare from a clinical perspective, deCathelineau said.

The industry finally seems to be gaining some perspective on how to leverage and apply AI in healthcare settings to achieve results, she continued. Futuristic visions of AI replacing physicians and the fear, uncertainty and doubt that goes along with them are being replaced by realistic applications of the technology that focus on automating mundane tasks, optimizing workflows and analyzing vast seas of data to support clinical decision making.

AI now is being viewed as a much-needed complement to physicians at a time where they are being overwhelmed by data, she stated.

The technology can help make these clinicians more effective by streamlining or eliminating tedious tasks, such as manual documentation and data search, she explained. It can help cull information, helping physicians to focus on key areas of interest, expediting diagnosis and improving accuracy. At the same time, it can free up physicians so they can spend more time with their patients.

One of the hottest applications of AI in healthcare is in the medical imaging space. AI and machine learning algorithms are being leveraged to analyze thousands of anonymized diagnostic patient images to identify and detect indicators of everything from lung cancer to liver disease. AI is helping to accelerate the valuable research being conducted in each of these areas, she noted.

While the potential of AI is exciting, it is important to note that any AI algorithm is ultimately dependent upon the data that feeds it, she cautioned. In other words, a healthcare provider must ensure its data pool is complete, consolidated and clean in order to achieve optimal results from any AI initiative.

The healthcare industry has long been branded as a laggard when it comes to its technology maturity. This is particularly true when it comes to cloud adoption, deCathelineau said.

Healthcare providers have historically been hesitant to move to the cloud due to fears about giving up control of their data and putting patient privacy at risk, she said. However, the hesitancy that used to surround cloud adoption in healthcare now is being replaced by the realization of its ultimate inevitability. Once again, this shift in mindset largely has to do with data overload.

The compounded growth of EHR data, medical images and video combined with the emergence of genomic data and information from smart devices has outgrown the capabilities of most on-premises healthcare data centers, she said.

The ability to not only store this information but ensure it is properly encrypted and fully redundant requires an infrastructure that, for most, is only realistically available in the cloud, she contended. Add to that the computing power necessary to take advantage of aforementioned AI and machine learning initiatives and you have a market ripe for cloud adoption.

While data drivers are necessitating a move to the cloud, it also is an optimal move to ensure the evolution of healthcare as an industry, she said.

For example, technology infrastructures based on modern, cloud-based architectural styles, such as representational state transfer (REST) APIs help ensure speed of implementation and deployment and are purpose-built for mobile environments. By moving to the cloud, the healthcare industry is that much closer to providing a user experience that is more similar to the web-based environments that consumers enjoy in other industries.

On a different note, Hyland recently has acquired Learning Machine, a blockchain credentialing vendor that helps organizations easily design their records, import recipient data, issue records and manage the entire credentialing lifecycle, rooted in any blockchain they choose.

According to Hylands President and CEO Bill Priemer: This acquisition is a major step toward our goal of revolutionizing the way organizations electronically exchange trusted records. The addition of Learning Machines digital credentialing solutions to Hylands content services platform will enable our customers to generate and manage digital documents that are both easily shareable and instantly verifiable.

Hyland will be at HIMSS20 in March in Booths 2759, 2773 and 8300-101.

Twitter:@SiwickiHealthITEmail the writer:bill.siwicki@himssmedia.comHealthcare IT News is a HIMSS Media publication.

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For Hyland, interoperability, clinical AI and cloud adoption are the HIMSS20 trends to watch - Healthcare IT News

AI Tool Created to Study the Universe, Unlock the Mysteries of Dark Energy – Newsweek

Posted on February 8, 2020 by Danzig

An artificial intelligence tool has been developed to help predict the structure of the universe and aid research into the mysteries of dark energy and dark matter.

Researchers in Japan used two of the world's fastest astrophysical simulation supercomputers, known as ATERUI and ATERUI II, to create an aptly-named "Dark Emulator" tool, which is able to ingest vast quantities of data and produce analysis of the universe in seconds.

The AI could play a role in studying the nature of dark energy, which seems to make up a large amount of the universe but remains an enigma.

When observed from a distance, the team noted how the universe appears to consist of clusters of galaxies and massive voids that appear to be empty.

But as noted by NASA, leading models of the universe indicate it is made of entities that cannot be seen. Dark matter is suspected of helping to hold galaxy clusters in place gravitationally, while dark energy is believed to play a role in how the universe is expanding.

According to the researchers responsible for Dark Emulator, the AI tool is able to study possibilities about the "origin of cosmic structures" and how dark matter distribution may have changed over time, using data from some of the top observational surveys conducted about space.

"We built an extraordinarily large database using a supercomputer, which took us three years to finish, but now we can recreate it on a laptop in a matter of seconds," said Associate Prof. Takahiro Nishimichi, of the Yukawa Institute for Theoretical Physics.

"Using this result, I hope we can work our way towards uncovering the greatest mystery of modern physics, which is to uncover what dark energy is. I also think this method we've developed will be useful in other fields such as natural sciences or social sciences."

Nishimichi added: "I feel like there is great potential in data science."

The teams, which included experts from the Kavli Institute for the Physics and Mathematics of the Universe and the National Astronomical Observatory of Japan, said in a media release this week that Dark Emulator had already shown promising results during extensive tests.

In seconds, the tool predicted some of effects and patterns found in previous research projects, including the Hyper Suprime-Cam Survey and Sloan Digital Sky Survey. The emulator "learns" from huge quantities of data and "guesses outcomes for new sets of characteristics."

As with all AI tools, data is key. The scientists said the supercomputers have essentially created "hundreds of virtual universes" to play with, and Dark Emulator predicts the outcome of new characteristics based on data, without having to start new simulations every time.

Running simulations through a supercomputer without the AI would take days, researchers noted. Details of the initial study were published in The Astrophysical Journal last October. The team said they hope to input data from upcoming space surveys throughout the next decade.

While work on this one study remains ongoing, there is little argument within the scientific community that understanding dark energy remains a key objective.

"Determining the nature of dark energy [and] its possible history over cosmic time is perhaps the most important quest of astronomy for the next decade and lies at the intersection of cosmology, astrophysics, and fundamental physics," NASA says in a fact-sheet on its website.

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AI Tool Created to Study the Universe, Unlock the Mysteries of Dark Energy - Newsweek

Predicting chaos using aerosols and AI – Washington University in St. Louis Newsroom

Posted on February 8, 2020 by Danzig

If a poisonous gas were released in a bioterrorism attack, the ability to predict the path of its molecules through turbulent winds, temperature changes and unstable buoyancies could mean life or death. Understanding how a city will grow and change over a 20-year period could lead to more sustainable planning and affordable housing.

Deriving equations to solve such problems adding up all of the relevant forces is, at best, difficult to the point of near-impossibility and, at worst, actually impossible. But machine learning can help.

Using the motion of aerosol particles through a system in flux, researchers from the McKelvey School of Engineering at Washington University in St. Louis have devised a new model, based on a deep learning method, that can help researchers predict the behavior of chaotic systems, whether those systems are in the lab, in the pasture or anywhere else.

That is the beauty of aerosols, said Rajan Chakrabarty, assistant professor of energy, environmental and chemical engineering. Its beyond one discipline, its just fundamental particles floating in air and you just observe the chaos.

The research was published as a cover article in the Journal of Aerosol Science.

Chakrabarty and his team postdoctoral researcher Pai Liu and Jingwei Gan, then a PhD candidate at the Illinois Institute of Technology tested two deep learning methods and determined that the generative adversarial network produced the most accurate outcomes. This kind of AI is first fed information about a real-world process, then, based on that data, it creates a simulation of that process.

Motivated by game theory, a generative adversarial network receives both the ground truth (real) and randomly generated data (fake) and tries to determine which is real and which is fake.

This process repeats many times, providing feedback, and the system as a whole gets continually better at generating data matching on which it was trained.

It is computationally expensive to describe the chaotic motion of an aerosol particle through a turbulent system, so Chakrabarty and his team needed real data a real example to train its system. This is where aerosols came in.

The team used the buoyancy-opposed flame in the Chakrabarty lab to create examples on which the AI could be trained. In this case, we experimentally added chaos to a system by introducing buoyancy and temperature differences, Chakrabarty said. Then, they turned on a high-speed camera and recorded 3-D trajectory datasets for soot particles as they meandered through, zipped around and shot across the flame.

They trained two kinds of artificial intelligence models with the data from the fire chamber: the variational autoencoder method and a generative adversarial network (GAN). Each model then produced its own simulation. Only the GANs trajectories mirrored the statistical traits found in the experiments, producing true-to-life simulations of chaotic aerosol particles.

The real-time trajectory of a particle next to the simulated trajectory produced by the GAN

Chakrabartys deep learning model can do more than simulate where soot, or chemicals, will wind up once released into the atmosphere. You see many examples of this kind of chaos, from foraging animals, to the transport of atmospheric pollutants and biothreats, to search and rescue strategies, he said.

In fact, the lab is now working with a psychiatrist looking at the efficacy of treatment in children with tic syndrome. Tics are chaotic, Chakrabarty explained, so the typical clinical trial setup may not be effective in determining a medications efficacy.

The wide application of this new deep learning model speaks not only to the power of artificial intelligence, but also may say something more salient about reality.

Chaos, or order, depends on the eye of the beholder, he said. What this tells you is that there are certain laws that govern everything around us. But theyre hidden.

You just have to uncover them.

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Predicting chaos using aerosols and AI - Washington University in St. Louis Newsroom

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For Hyland, interoperability, clinical AI and cloud adoption are the HIMSS20 trends to watch – Healthcare IT News

AI Tool Created to Study the Universe, Unlock the Mysteries of Dark Energy – Newsweek

Predicting chaos using aerosols and AI – Washington University in St. Louis Newsroom