Archive for the ‘Artificial Intelligence’ Category

3000 Bar using artificial intelligence technology to check temperatures of patrons – WSMV Nashville

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3000 Bar using artificial intelligence technology to check temperatures of patrons - WSMV Nashville

MotoGP, Ducati in the future: artificial intelligence to go faster – GPone English

Year after year, motorcycling has changed and continues to change, going hand in hand with technological progress, and as expected yet another step forward is just around the corner. Its strange to talk about technology and think of the bikes raced by legends like Angel Nieto or Eddie Lawson, but everything evolves and the world of two wheels is no exception.

Ducati has been talking about the next step in technological terms, in a telematic meeting organized together with its partner Lenovo and open to the press: the fact that manufacturers try to improve the performance of the bike by digging into every scientific-technical area is well-known, but the next move will be none other than artificial intelligence.

The concept was explained by Gabriele Conti, head of Ducatis electronic systems department. "It is no longer just about collecting data, but also about analysing it in depth, and the next step will involve the use of Artificial Intelligence. I think it's the future, because we need something that thinks faster than humans, which artificial intelligence can do. Among other things, we are already using a machine to learn. "

Conti continued in his analysis, accompanying us on a little walk into the future

We already use some parameters calculated with a machine, which is able to manage an incredible amount of data, something that we just cannot do. It performs correct calculations and manages to obtain parameters in real time. The next step, and we are already working on it, will help track and factory engineers to develop the new bike ".

But what does a rider think of all this? The answer was provided by Danilo Petrucci, who confirmed that the riders are now focussing on the study of data.

Unfortunately, we have to spend more time looking at the data than riding a motorbike: it is a way to understand how to ride better, 80% of the bike's configuration is based on data. In this sense, for every Grand Prix I receive from my chief engineer a seven-page email with the data: this has been the case since 2015, I 've still saved them all. " Ladies and gentlemen, welcome to the future.

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MotoGP, Ducati in the future: artificial intelligence to go faster - GPone English

Why cracking nuclear fusion will depend on artificial intelligence – New Scientist

The promise of clean, green nuclear fusion has been touted for decades, but the rise of AI means the challenges could finally be overcome

By Abigail Beall

THE big joke about sustainable nuclear fusion is that it has always been 30 years away. Like any joke, it contains a kernel of truth. The dream of harnessing the reaction that powers the sun was big news in the 1950s, just around the corner in the 1980s, and the hottest bet of the past decade.

But time is running out. Our demand for energy is burning up the planet, depleting its resources and risking damaging Earth beyond repair. Wind, solar and tidal energy provide some relief, but they are limited and unpredictable. Nuclear fission comes with the dangers of reactor meltdowns and radioactive waste, while hydropower can be ecologically disruptive. Fusion, on the other hand, could provide almost limitless energy without releasing carbon dioxide or producing radioactive waste. It is the dream power source. The perennial question is: can we make it a reality?

Perhaps now, finally, we can. That isnt just because of the myriad fusion start-ups increasingly sensing a lucrative market opportunity just around the corner and challenging the primacy of the traditional big-beast projects. Or just because of innovative approaches, materials and technologies that are fuelling an optimism that we can at last master fusions fiendish complexities. It is also because of the entrance of a new player, one that could change the rules of the game: artificial intelligence. In the right hands, it might make the next 30 years fly by.

Nuclear fusion is the most widespread source of energy in the universe, and one of the most efficient: just a few grams of fuel release the same energy as

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Why cracking nuclear fusion will depend on artificial intelligence - New Scientist

Combating coronavirus: RTA employs Artificial Intelligence in taxis to curb spread of Covid-19 – Khaleej Times

The technology can also report offences such as the failure to observe physical distancing.

Dubai's Roads and Transport Authority announced that Artificial Intelligence (AI) technologies have been employed in taxis to monitor and verify the compliance with the preventive measures undertaken to limit the spread of the coronavirus.

"The technology can also report offences such as the failure to observe physical distancing, and the improper wearing of face masks, thanks to video analysis feature," said Ahmed Mahboub, Executive Director of Smart Services, Corporate Technology Support Services Sector, RTA.

The use of Artificial Intelligence (AI) technologies, such as computer vision and machine learning algorithms, proved very effective in detecting and reporting violations of preventive measures undertaken to fight the Coronavirus (Covid-19). Such monitoring covers physical distancing and wearing of face masks onboard taxis, whether for passengers or drivers.

"The use of AI technologies proved very effective and achieved a success rate of 100%. The introduction of this technology was on a trial base, and according to the deliverables, the technology will be generalised to all fleet vehicles," said Mahboub.

"The experiment highlighted the capability of AI technology in processing video files spanning 200 thousand hours a day. Thus, it reduces the need for human intervention and saves much time and effort that would have otherwise been necessary to analyse these videos," he noted.

Explaining the functionality of onboard devices, Mahboub said, "AI devices were programmed to scan human faces and verify if the mask is worn correctly. The technology has a mathematical feature that calculates the distance between passengers and the driver as well."

"RTA is continuing efforts to play a leading role in implementing the 4th Industrial Revolution technologies in line with the UAE Artificial Intelligence Strategy. The overall objective is to harness technologies to serve the community, and realise RTA's vision of Safe and Smooth Transport for All," concluded Mahboub.

reporters@khaleejtimes.com

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Combating coronavirus: RTA employs Artificial Intelligence in taxis to curb spread of Covid-19 - Khaleej Times

Artificial Intelligence Is Making The Army’s Armored Vehicles Deadlier Than Ever – Yahoo News

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Here's What You Need To Remember:The Army and industry are currently developing algorithms to better enable manned-unmanned teaming among combat vehicles. The idea is to have a robotic wingman, operating in tandem with armored combat vehicles, able to test enemy defenses, find targets, conduct ISR, carry weapons and ammunition or even attack enemies.

The Army is engineering new AI-enabled Hostile Fire Detection sensors for its fleet of armored combat vehicles to identify, track and target incoming enemy small arms fire.

Even if the enemy rounds being fired are from small arms fire and not necessarily an urgent or immediate threat to heavily armored combat vehicles such as an Abrams, Stryker or Bradley, there is naturally great value in quickly finding the location of incoming enemy small arms attacks, Army weapons developers explain.

There are a range of sensors now being explored by Army developers; infrared sensors, for example, are designed to identify the heat signature emerging from enemy fire and, over the years, the Army has also used focal plane array detection technology as well as acoustic sensors.

We are collecting threat signature data and assessing sensors and algorithm performance, Gene Klager, Deputy Director, Ground Combat Systems Division, Night Vision and Electronic Sensors Directorate, told Warrior Maven in an interview last year.

Klagers unit, which works closely with Army acquisition to identify and at times fast-track technology to war, is part of the Armys Communications, Electronics, Research, Development and Engineering Center (CERDEC).

Army senior leaders also told Warrior Maven the service will be further integrating HFD sensors this year, in preparation for more formals testing to follow in 2019.

Enabling counterattack is a fundamental element of this, because being able to ID enemy fire would enable vehicle crews to attack targets from beneath the protection of an armored hatch.

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The Army currently deploys a targeting and attack system called Common Remotely Operated Weapons System, or CROWS; using a display screen, targeting sensors and controls operating externally mounted weapons, CROWS enables soldiers to attack from beneath the protection of armor.

If we get a hostile fire detection, the CROWS could be slued to that location to engage what we call slue to cue, Klager said.

Much of the emerging technology tied to these sensors can be understood in the context of artificial intelligence, or AI. Computer automation, using advanced algorithms and various forms of analytics, can quickly process incoming sensor data to ID a hostile fire signature.

AI also takes other information into account and helps reduce false alarms, Klager explained.

AI developers often explain that computer are able to much more efficiently organize information and perform key procedural functions such as performing checklists or identifying points of relevance; however, many of those same experts also add that human cognition, as something uniquely suited to solving dynamic problems and weighing multiple variables in real time, is nonetheless something still indispensable to most combat operations.

Over the years, there have been a handful of small arms detection technologies tested and incorporated into helicopters; one of them, which first emerged as something the Army was evaluating in 2010 is called Ground Fire Acquisition System, or GFAS.

This system, integrated onto Apache Attack helicopters, uses infrared sensors to ID a muzzle flash or heat signature from an enemy weapon. The location of enemy fire could then be determined by a gateway processor on board the helicopter able to quickly geolocate the attack.

While Klager said there are, without question, similarities between air-combat HFD technologies and those emerging for ground combat vehicles, he did point to some distinct differences.

From ground to ground, you have a lot more moving objects, he said.

Potential integration between HFD and Active Protection Systems is also part of the calculus, Klager explained. APS technology, now being assessed on Army Abrams tanks, Bradleys and Strykers, uses sensors, fire control technology and interceptors to ID and knock out incoming RPGs and ATGMs, among other things. While APS, in concept and application, involves threats larger or more substantial than things like small arms fire, there is great combat utility in synching APS to HFD.

HFD involves the same function that would serve as a cueing sensor as part of an APS system Klager said.

The advantages of this kind of interoperability are multi-faceted. Given that RPGs and ATGMs are often fired from the same location as enemy small arms fire, an ability to track one, the other, or both in real time greatly improves situational awareness and targeting possibilities.

Furthermore, such an initiative is entirely consistent with ongoing Army modernization efforts which increasingly look toward more capable, multi-function sensors. The idea is to have a merged or integrated smaller hardware footprint, coupled with advanced sensing technology, able to perform a wide range of tasks historically performed by multiple separate on-board systems.

Consolidating vehicle technologies and boxes is the primary thrust of an emerging Army combat vehicle C4ISR/EW effort called Victory architecture. Using ethernet networking tech, Victory synthesizes sensors and vehicle systems onto a common, interoperable system. This technology is already showing a massively increased ability to conduct electronic warfare attacks from combat vehicles, among other things.

HFD for ground combat vehicles, when viewed in light of rapidly advancing combat networking technologies, could bring substantial advantages in the realm of unmanned systems. The Army and industry are currently developing algorithms to better enable manned-unmanned teaming among combat vehicles. The idea is to have a robotic wingman, operating in tandem with armored combat vehicles, able to test enemy defenses, find targets, conduct ISR, carry weapons and ammunition or even attack enemies.

All that we are looking at could easily be applicable to an unmanned system, Klager said.

Osborn previously served at the Pentagon as a Highly Qualified Expert with the Office of the Assistant Secretary of the Army - Acquisition, Logistics& Technology. Osborn has also worked as an anchor and on-air military specialist for National TV networks. He has a Masters degree in Comparative Literature from Columbia University. This article first appeared last year.

This first appeared in Warrior Maven here.

Image: Reuters.

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Artificial Intelligence Is Making The Army's Armored Vehicles Deadlier Than Ever - Yahoo News