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]]> Greater Toronto Airports Authority recently announced it would be testing HEXWAVE, an AI-enhanced weapon detection technology. Credit: Florian Weihmann (Pexels).

Humans, who are limited by slow biological evolution, couldnt compete and would be superseded. On the face of it, a chilling statement made by the late Stephen Hawking. The world-renowned theoretical physicist was speaking of his fears of an unleashed artificial intelligence (AI). The development of full artificial intelligence could spell the end of the human race, he said, It would take off on its own, and re-design itself at an ever-increasing rate.

The role AI will play in tomorrows world has long been debated, with supporters and sceptics often happy to promote the merits of their argument, whilst almost all the time questioning that of the other side. Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think well augment our intelligence, counters IBM CEO Ginni Rometty.

For now, what is almost irrefutable is the impact AI has on our everyday life. In many cases, however, we often dont know its there, working in the background to make daily routines that little bit easier, and even safer. They are the hopes of the Greater Toronto Airports Authority (GTAA) which recently announced it would be testing HEXWAVE, an AI-enhanced weapon detection technology.

Pearson International Airport will be one of the test sites for Liberty Defenses system, which uses 3D radar imaging to detect and identify weapons. The intention, in aviation at least, is to use the system at a facilitys perimeter with the hope of identifying threats before they reach the terminal.

Keen to stress the purpose is not to replace security measures, the companys CEO Bill Riker said it would further enhance already employed security systems. As well as its trial at the airport, HEXWAVE will be tested at other venues, such as sports stadiums, shopping centres, education facilities and government sites across North America and Europe.

It is a product that detects metal and non-metal objects, and alerts responders through the use of AI technology, says GTAA director of corporate safety and security Dwayne MacIntosh. He said the Authority is looking at testing it at multiple locations to determine how we can best operationalise such a product in the future during the week-long project, although no date has yet been set.

The AI technology looks for prohibited items and alerts airport responders, who then work to mitigate the incident.

HEXWAVEs 3D imaging capabilities mean it can identify even the smallest of weapons including concealed handguns and knives as well as the likes of bombs and suicide vests with what the company says is a low-energy radar. This scans the outline of the body to reveal any abnormal contours, as well as detecting prohibited items in baggage. While the use of technology like this in this realm isnt new, it is the speed with which HEXWAVE carries out the operation that stands out. Rather than a subject needing to stand still, it can carry out its role on moving targets.

The AI component means the system itself assesses and determines whether an individual poses a threat. The AI technology looks for prohibited items and alerts airport responders, who then work to mitigate the incident, says MacIntosh. It can be used both inside and out and is scalable to any setting, helping manage throughput screening in real-time.

He is a firm believer in the advantages AI can offer sites such as airports. He says it facilitates the tracking and identification of threats, integrated into wider airport systems in such a way that it makes response seamless. Using AI to speed the process of identifying, tracking and dispatching resources allows for faster responses and better threat mitigation, thereby protecting passengers and the airport community, he continues.

However, critics may question whether this might infringe on individuals rights and even privacy. Its a concern MacIntosh wants to dispel, saying the system will simply not collect anyones data. Privacy is as important to us as safety, and we will always take measures to preserve both for passengers and the airport community, he adds.

But are systems of this kind necessary? Since the terror attacks on New York and Washington in September 2001, airport security has changed dramatically. In the last few years, AI technologies have been rolled out, with demand continuing to grow as the sector looks to strengthen itself against evolving threats. They have become increasingly crucial in that battle to stay ahead; indeed in the security sphere, they are becoming integral to the work of personnel.

Although there are new issues such as drones, many of the same concerns that we face today existed a decade ago.

Security scanners boasting AI technologies are fast becoming commonplace. Body scanning similar to HEXWAVE is already being used by some airports; facial recognition and other biotechnologies are now complimenting these systems and assisting the increased physical security presence since 9/11. Although there are new issues such as drones, many of the same concerns that we face today existed a decade ago, says MacIntosh. The difference is that the tools we use to mitigate those issues have continued to advance, giving us greater ability to protect passengers and the airport community.

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Is it right to use artificial intelligence in aviation security? - Airport Technology

Very few subjects in science and technology have caused much excitement right now as artificial intelligence as some of the worlds brightest minds have said that its potential to revolutionise all aspects of our lives.

AI makes it practical for machines to understand from experience, act human-like jobs, and adapt to the latest inputs. The concept works by amalgamating enormous data with quick, smart algorithms, and iterative processing, enabling the software to decipher by analysing patterns in the data in an automatic way.

There is science and well thought algorithm behind all the artificial solutions, where you need to set up proper expectations and clarification to avoid any rumours and myths around the outputs.

While the notion of AI is turning into a massive component of business and consumer transformations, its execution is generally stagnated because of some misconceptions associated with it.

Myth 1: AI will deliver magical resultsimmediately

The path to AI success is hard and takes time, and not just because of the technology. You also need a strategic framework and an iterative approach to avoid delivering a random set of disconnected AI solutions. The temptation is to go for moonshots to deliver the magic, but such projects often fail to live up to expectations because you dont have the basics homework done.

AI is not a magic, it requires rigour, logical thinking and long term strategy with a patience to do multiple iteration to get to the result.

Myth 2: AI Will Replace Human Jobs

Most of the times, management look at AI solutions to replace human and reduce the operational cost, creating a sense of fear among the employees.

So, if you think that AI solutions might strip human from their jobs, then you are undeniably wrong.

Reality is, AI and human need each other. AI is at its most valuable when it augments peoples capabilities. It can remove the duplicate work, freeing people up for more strategic activities. That has the added benefit of making people more motivated, productive, and loyal. Enterprise AI also relies on people to feed it the right data and work with it the right way. Often, AI doesnt provide conclusive answers to issues, but rather highly informed recommendations that an actual human can weigh to make the final decision.

Myth 3: AI Implementation Needs Huge Investment

Artificial developments resolutions appear to be tremendously scientific and complicated. This inclination recommends that just a modern tech organisation, including Google, Amazon, or Apple, with an extended team of experts and billion-dollar budgets can pay for implementing AI. In reality, there are a lot of smart tools existing for an enormous variety of organisation, which can be utilised to implement AI in their business procedures.

Myth 4: AI Algorithms are Competent to Process Any Data

Most of you must believe that ML algorithms are one of the most crucial elements in the entire system. An algorithm might appear to be robust and linked with the human brain, which can make intellect of any untidy data.

It is not possible, for algorithms, to make decisions without human intervention as they dont have magic power. It requires a specific piece of data to get impeccable results.

Myth 5: AI will Conquer Humanity

Machines are powerless to imagine similar to people and will barely be taught to do so. In fact, computers are going to have an optimistic impact on the world by supporting people in a lot of fields, building innovative business models, communities, and skills. Its certainly true that the advent of AI and automation has the potential to seriously disrupt labour and in many situations it is already doing just that. However, seeing this as a straightforward transfer of labour from humans to machines is a vast over-simplification. In fact, a lot of AI focus has been on reducing the drudgery" of day-to-day aspects of the work. AI gives an opportunity to upgrade your skills and move up in your career ladder at the same time.

About the Author: A technology and product leader, Rahul Kumar is Group Chief Product Officer with HT Media Group. An alumni of BIT Mesra, who later on honed his technology management skills from IIT Delhi, has been leveraging AI, ML and IOT to solve business and consumer problems across technology led startups and conglomerate.

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Artificial intelligence myths: Reality check - Livemint

The battery sector is turning to artificial intelligence for clues on how to improve recharging rates without increasing the degradation of lithium-ion batteries.

Last month, a team from Stanford University, the Massachusetts Institute of Technology and the Toyota Research Institute published findings from battery testing aimed at cutting electric-vehicle charging times down to 10 minutes. The research, published in Nature, revealed how artificial intelligence could speed up the testing process required for novel charging techniques.

The researchers wrote a program that predicted how batteries would respond to different charging approaches and was able to cut the testing process from almost two years to 16 days, Stanford reported. The technique was used to evaluate 224 possible high-cycle-life charging processes in just over two weeks, the researchers said.

The research effort has been in progress for at least three years. In 2017, the Toyota Research Institute committed $35 million to artificial intelligence battery research, initially focusing on new materials.

Last year, the research partners claimed artificial intelligence could help predict the useful life of lithium-ion batteries to within 9 percent of the actual life cycle of the products.

The standard way to test new battery designs is to charge and discharge the cells until they die,co-lead author Peter Attia, now of Tesla but then a Stanford doctoral candidate in materials science and engineering, said in a press release at the time.

Since batteries have a long lifetime, this process can take many months and even years. Its an expensive bottleneck in battery research.

Independentof these efforts, a Canadian firm called GBatteries is using artificial intelligence in a bid to cut lithium-ion battery charging times down to five minutes. The company has succeeded in recharging an electric scooter battery in less than 10 minutes.

The main challenge with extremely fast charging is that it heats up and degrades the battery, GBatteries co-founder and Chief Commercial Officer Tim Sherstyuk told GTM.

The rates that can be achieved with todays fast-charging technology, which are slow by gas-station filling standards, are already problematic for batteries, he said.

Most fast-charging initiatives focus on novel chemistries that wont degrade easily, Sherstyuk said. GBatteries, meanwhile, uses artificial intelligence to monitor the state of the battery as it is charging.

Once the impedance of the battery reaches a critical level, the GBatteries algorithm pauses charging long enough to avoid irreversible damage. This allows charging to proceed in a series of high-intensity pulses at a rate much faster than is possible with traditional methods.

The GBatteries technology works for small batteries and has been demonstrated on power tools, cutting charging times from between 30 to 60 minutes down to 11. But scaling it up to cope with an electric vehicle battery pack is going to take a while, said Sherstyuk.

Even if artificial intelligence can help crack the means to charge electric vehicles as quickly as you now fill your tank with gas, it will take a while for the auto industry to incorporate the technology into the mainstream. The time horizon is years, not months.

Nevertheless, there is plenty of industry interest in tackling the problem.

Charging time is usually the fourth concern that people raise when considering to go electric or not, after upfront cost, range of the vehicle and where [to] charge, said Aaron Fishbone, director of communications at GreenWay, which operates a fast-charging network across Eastern Europe.

So, while not a top-tier issue, its still one raised by many people.

GBatteries pulse charging will require a lot more testing before it might be considered appropriate for the 50+ kilowattpower ratings required for electric vehicles, Fishbone said. In the meantime, high-power recharging is already reducing the time it takes to charge a battery.

Although there are not yet many cars that can take them, a 150-kilowatt charger can add 100 kilometers (62 miles) of range to an electric vehicle within a little over seven minutes, Fishbone said.

Nonetheless, anything which can speed up charging time without degrading battery life is a welcome development and can lead to other innovations which push the whole industry."

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Battery Researchers Look to Artificial Intelligence to Slash Recharging Times - Greentech Media News

'; var randomNumber = Math.random(); var isIndia = (window.geoinfo && window.geoinfo.CountryCode === 'IN') && (window.location.href.indexOf('outsideindia') === -1 ); console.log(isIndia && randomNumber Currently, AI may do a plausible job at detecting the intent of another person. It may even have a list of predefined, possible responses that a human will respond within a given situation, they said.

However, when an AI system or machine only has a few clues or partial observations to go on, its responses can sometimes be a little, noted the researchers.

What were doing in these early phases is to help machines learn to act like humans based on our daily interactions and the actions that are influenced by our own judgment and expectations so that they can be better placed to predict our intentions, said Lina Yao, a lecturer at UNSW. This may even lead to new actions and decisions of our own, so that we establish a cooperative relationship, Yao said.

The researchers want to see awareness of less obvious examples of human behaviour integrated into AI systems to improve intent prediction. However, doing so is a tall order, as humans themselves are not infallible when trying to predict the intention of another person, the researchers said.

Sometimes people may take some actions that deviate from their own regular habits, which may have been triggered by the external environment or the influence of another persons actions, she said.

Yao and her team are developing a prototype humanmachine interface system designed to capture the intent behind human movement.

Excerpt from:
Artificial intelligence taking lessons on how to second-guess us - Times of India

A new industrial revolution is taking place now and AI (AI) is transforming countries economically. The answer to the question of who is ahead and who is behind is determined by the new economic model based on this AI. Dozens of countries, from China to the U.S., from Finland to Kenya, are making significant investments in the area. It should be noted that by 2030, AI studies will generate a gross domestic product (GDP) greater than the current size of the Chinese economy ($15 trillion). From this new economy, China will generate nearly $7 trillion, the U.S. $3.7 trillion, Northern Europe $1.8 trillion, Africa-Oceania $1.2 trillion, the rest of Asia $0.9 trillion and Latin America $0.5 trillion. So, what will we do as a country? What kind of road map will we follow? How will we move forward in the digital economy revolution?

From driverless subways to flying taxis, from AI doctors to political consultants, from Smart TV announcers and robot muezzins to robot soldiers to autonomous attack planes, how ready are we for the new era?

Digital change and Turkey

AI creates change in society and adds new powers to people's power by enabling groundbreaking developments in areas such as healthcare, agriculture, education and transport. As AI technology continues to grow, we will work to ensure the ethical, pervasive and transparent dissemination of AI around the world, enabling everyone to take advantage of this technology, Microsoft President Brad Smith says.

Technological developments take hold of the entire world today, where digital transformation takes place fast. With new technologies; the processes of transformation and adaptation are taking place in economics, politics, healthcare and many other fields. In this context, studies on AI, 5G, Industry 4.0, big data and the "internet of things" (IoT) largely occupy the agenda. In particular, it is necessary to elaborate on AI studies here.

The studies of AI, which have undergone many ups and downs from the 1950s to the present, have entered a revolutionary process as of the 2010s with the use of machine learning and artificial neural networks.

Especially the fact that technologically and economically developed countries like the U.S., China and Germany have taken interest in AI studies both at the public and private levels and that they are competing with each other, has created a competitive environment across the globe.

The necessity of putting studies in a system within a specific plan has pushed countries to determine strategies and policies. The importance of the situation becomes evident considering that 35 countries have set a national AI strategy and international structures such as the U.N. and the EU joining the process as of January 2020.

Before going into practice in the context of Turkey and AI studies, the following should be noted: We are late in this race, but we can make up for it. Resources are limited, but progress can be made. Reasonable targets should be set. Target sectors should be determined.

The following suggestions should be noted in the area of practice. Research and development (R&D) funds should be created. Higher quality coding education should be offered in primary and secondary levels.

Besides, the field is not composed of engineering, so experts should be trained to interact around the world. Cooperation should be made with developed countries in this area.

It should be turned into a state policy. AI research centers should be established. Specialist import is required. The industrial incentive is required (on a sectoral basis).

Other critical suggestions

When the strategy documents released by other countries and the work they have performed are examined, we can list what needs to be done for Turkey as follows.

The impact of universities in the process should be boosted. AI workshops should be held urgently under the leadership of the academy. Encouraging the meetings to be held in the social sciences rather than in engineering is essential for ensuring that society can keep up with the age of AI and digital transformation. The results of the workshop should be presented to the Digital Transformation Office of the Presidency of the Republic of Turkey and should be taken as a basis in the strategy-building process.

A new academic title can be created to promote academic studies, boost international interest and ensure reverse brain drain. (E.g., the Alexander von Humboldt Professorship created by Germany in the context of AI strategy)

Science and social science departments based on AI-oriented studies should be established in universities and a skilled workforce should be trained in the fields of production, economics, management, law, philosophy and sociology.

The strategic plan should direct what kind of work will be done in what areas and clearly point out the opportunities. After studies are done in the determined fields, the sector can identify the advantageous positions internationally and carry out processes accordingly in different fields like military, healthcare, finance, education, environmental management, biotechnology, and industrial production, etc.

For society to adapt to the age of AI and digital transformation, an instructive website should be prepared and released to the public in visual and digital publications through public service ads.

Economically and technologically advanced countries such as the U.S., Germany, France and Canada attach importance to start-up companies in their strategies due to their advantageous positions. On the contrary, to use Turkeys economic resources in an effective, fast and solution-oriented way, instead of supporting start-up companies; companies that are already strong in the sector should be supported, employment incentives should be provided to ensure the employment of trained personnel in these companies.

To reduce the costs of start-up companies during the founding phase, cash incentives should be provided only for the supply of fixtures.

AI Made in Turkey trademark registration should be created. Manufactured products should be launched worldwide.

Workshops, meetings and consultations in public, private and academic fields should be increased and cooperation agreements should be made to ensure cooperation with leading countries in AI studies.

The use of AI-based programs in public institutions should be encouraged and necessary infrastructure transformation should be carried out.

All of the techno-cities owned by universities based in Istanbul should be collected in Istanbul Technopark. For a formation like Silicon Valley, a city other than Istanbul should be determined and the necessary material and financial infrastructure should be established.

To prevent the transfer of resources to inefficient work, the institutions and organizations that are provided with incentives should be supervised regularly.

Today, we are on the eve of a new era of geographical explorations; what we do will determine our future. If we believe, if we work hard, why not?

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Artificial intelligence: The new power dynamic of today - Daily Sabah