Tag Archives: A.I.

Making Life Easy With Easier Parking

With driverless cars already on the streets, will there be similar AI breakthroughs in the future of parking?

In the ’60s, The Jetsons, a cartoon about a family living in the future, featured a flying car that folded down into a briefcase when not in use. It is unlikely that we will ever see that solution to parking become a reality, but many other sci-fi books and films have predicted self-driving vehicles, and we know they are coming because they kind of exist today.

future of parking
Parking facilities in the future must make allowances for electric vehicles. (Photo by guteksk7/Shutterstock)

While brands like Tesla have pushed the boundaries of driver assistance to become a version of self-driving, including parking the vehicle automatically, currently the parking infrastructure has not really kept up. 

But we know that cannot continue, and the reality is that as transport technology evolves, parking solutions will have to evolve as well. But what does that mean long term? Will we be able to arrive at a parking center, get out and leave the car to it, then call it back to us when we want to leave? That seems like the dream approach to parking, but what does it need to make it happen? 

Parking tech

There are two parts to that kind of service, the technology in the car park itself, and the technology within the car. For such a seamless experience, the two will need to work together, in that the vehicle must be able to drive autonomously, but also receive information about parking locations and when it should return to the entrance, from the car park itself. Both sets of technology actually exist today, not as refined as required for a reliable autonomous parking experience, but that is only a matter of time and development. But is it the right answer? 

Right now, parking systems know which cars are parked where within the car park, this data is used to establish remaining capacities and so on, and while not universal, there are cars that can go off and park themselves when needed. So that future service is nearer than we think, but in the meantime what does car parking look like? Some may say that the future is already here without needing self-driving cars.

In Japan and some cities in the US, lift-based parking solutions offer a similar experience today. You arrive at a parking garage; your vehicle is pulled into a cubicle which is then lifted away. When you want to return to your car, the system finds the right cubicle garage and then returns it to the entrance, so you can drive away. 

There are advantages to this approach, without the need for ramps to drive up and down to reach the parking, more cars can be parked in a given space. Because no one actually enters the building where vehicles are stored, it is also incredibly secure too. These systems are being constantly refined, and in the future, it is likely such a garage could be completely automated. With the advantages of space and security, is that more likely to be the future of high-density parking? If we look at other factors, it may well be. 

Cities are increasingly looking to decrease car numbers, opening up spaces instead for social areas, encouraging cycling and other more environmentally friendly approaches to transportation. This is unlikely to change even with the widespread adoption of electric cars, so parking will naturally require large hubs with high-density parking that allows easy access to walks, bikes or public transport to central areas. To get an idea for the future of parking, we can look at what technology best fits this scenario. 

Robotic Solutions

It is likely that these robotic lift-type solutions that pack more vehicles into each parking area fit the needs of city designers better than any more traditional multi-story or underground system that requires ramps and so on, whether the cars are operated by drivers or park themselves. There are other things that are in favor of this approach too. 

Architects are under pressure to soften the appearance of buildings in cities across the world, to create spaces that have more light and elegance. A more compact multi-story space, or an underground alternative with only one small entrance space is easier to disguise with cladding, color and other design tricks that much larger car parks that have ramps and so on. 

There is also the matter of technology. While there are cars that can drive themselves in a limited way now, and numbers are only going to increase, they are not all cars, and may never be. Holden stopped making cars in 2020, but in 20 years’ time, there will still be Holden cars driving on the roads. Those cars can never use autonomous parking systems, but they can use the robotic systems that take your car away and bring it back via a crane lift. They can use them today, and they can use them in the future. 

Machine learning to park

So, the dream of a car swooshing away into its own spot automatically could well be the future. However, it is more likely to be carried there by a machine rather than drive itself. But not all parking is in cities with integrated parking solutions ran by the local authorities. For parking elsewhere, things will develop alongside vehicle technology, and there is one area that must advance for the future of the automotive industry itself, never mind parking. That is electric car charging

Right now, charging is a bit of a mess: different speeds depending on the charger installation, there is no real cohesive system and owners often have to wrestle with a number of different apps to access charging networks on the go. Then there are the mechanics of charging, a heavy cable that has to be plugged in, account information and payment input before the car can be charged. As with phones, wireless charging is the solution, it removes much of the hassle and fail points for a better experience. But what would that look like in cars? 

The obvious answer is charging areas embedded into the road or parking space, with a vehicle stopping on top of it automatically charging. There are hurdles to this, it would mean an end to the various account systems currently used to access charge networks, and instead have something tied to the vehicle itself. However, this kind of solution offers easy and efficient charging without the hassle we have today. 

This would also require new technology for parking. For instance, our robotic car parks could have a charge loop in each container or cubicle, so electric vehicles charge automatically once they are taken away for storage. Likewise, on-road parking at parking meters could include chargers under each space.

This makes the charging process so much less hassle but allows for electric car charging without having to install endless charge stations in streets, and avoiding all the cables that the current system will need. Given the sheer number of electric cars that will be in operation in just a decade or so, and one cable per car, you can see how much an alternative is required. 

But while technology will continue to drive the parking experience, and in cities and communities the need for clean, open spaces will change where we park and what that parking looks like, there will still be areas where parking sits outside of these grand designs. At its heart, a parking space is somewhere to store a vehicle while you go off and do something, and that need is not going to change. Large robotic parking systems in cities may appear in numbers, but they are not going to be the norm in areas with a smaller traffic flow or specific needs. 

What we may see, and it is happening now, is that entrepreneurs and visionaries can find ways to provide a more selective parking solution on a smaller scale, that caters to a very specific need in a specific location. Not only are these services essential and in high demand, but they can be a source of income for anyone who has access to suitable parking space. With more cars than ever on the roads, and with a shift to electric not changing that, the future of parking looks to be heading in multiple directions.

The centralized systems operated in cities and other large communities will follow an approach that minimizes the space required and seek to integrate such facilities into an overall plan for the area. However, in some areas where there is no overall control of parking operations, the idea that you can rent a parking spot from a single person makes sense. Some people have space, others need that space, and as more cars are used, that space is in ever higher demand. This article is an excerpt from the complete e-book Parking Made Easy by Daniel Battaglia.

Can C3.AI Stock Keep Rallying with AI in the Spotlight?

The recent rise of Artificial intelligence (AI) programs such as ChatGPT has created a frenzy around AI-related stocks.


C3.AI, a pure play AI stock, is up over 100% since late December.

But is this rally sustainable? After all, the public was already surrounded by AI without realizing it. Almost everything people use in daily life is affected by AI already: 

  • advertising
  • entertainment streaming services
  • social media
  • cars (collision detection and blind spot monitoring)
  • fraud prevention
  • screening job applicants
  • email spam filters
  • many other applications

C3.AI is a company that creates software to help other companies deploy AI projects. C3 software is being used in multiple ways, including managing inventories, monitoring for energy inefficiencies, and predicting system failures. [Of particular note is one new product from C3 called ex machina which allows users to program AI initiatives without using any coding at all but instead via a series of visual programming tools. CP]

AI stocks, and technology stocks as a whole, were a neglected market in 2022. The Nasdaq 100, an index heavy in technology stock, fell more than 30% in 2022. C3.AI fell over 65% in 2022, and is currently down almost 90% from its 2020 high (even after the 100% rally in 2023). All currency quotes that follow are in USD.

C3.AI recently peaked at $30.92 on February 6. It then reached a low of $20.31 on March 1 before rallying back to $29.98. It has since fallen and is back near the $20.33 low.

This puts the stock at a crucial level.

An analyst from SafeTradeBinaryOptions.com had this input: “Right now, the stock is in an uptrend, albeit a precarious one. The price has been making higher swing lows and higher swing highs throughout 2023. But if the price drops much below $20, that will no longer be the case. The price will have made a lower high on March 6 (compared to February 6) and if the price drops below the March 2 low, that is a lower low. These are signs of a downtrend starting — not an uptrend.”

All facets of our modern world are already in the embrace of A.I. whether we know it or not.

This $20 region is important because if the area holds, this indicates the price is moving in a range, with the possibility of the price moving back up to the top of the range near $29. If that happens, there is still hope that the price will eventually break out of the range to upside, continuing its advance to $40, for example. 

However, if the price drops below the $20 region, the range is broken and the uptrend is in jeopardy. 

It’s important to watch C3.AI to see how investors are perceiving the future of AI, and what that may mean for the industry’s future. 

As of March 2023, C3 doesn’t have a lot of direct competition. The company is not yet even profitable. How the stock moves is based on whether investors believe the company can eventually generate profits — and in this case, its profits largely depend on whether AI becomes even more widespread than it already is. For the Silo, Kat Fleischman.

finally a Machine will curate an Art exhibit

The Museum of Wild and Newfangled Art (mowna) Announces the Debut of an AI Experiment in Art Curation: “This Show is Curated by a Machine ?”


The free call for international submissions is now open for all to take part in an experiment that defines how we move forward with AI curation in an ethical way


NEW YORK (July, 2021) – The Museum of Wild and Newfangled Art (mowna) is currently designing an artificial intelligence curator for their final show of the year “This Show is Curated by a Machine 🤖” which directly answers the Whitney Museum of American Art’s curatorial question,“The Next Biennial Should Be Curated by a Machine.” 

The curator, an AI bot machine, will learn to curate by looking at the data set from the 2021 mowna Biennial, an exhibit of an international pool of artists selected from 44 countries gathered through a free call for submissions process that ran from January through March of 2021.

The Biennial includes all forms of art made from 2019 to 2021. The machine will also learn from other data sets of recently made art. The AI machine will curate the show by looking at the text data of the submissions as well as the artwork files. There will also be human curators, so that a comparison can be made. 

The show will be viewable at mowna.org, and a detailed writeup of the process, results, and thoughts about the future of artificial intelligence related to art curation will be made available. Early questions are available here in the mowna blog.


“We are interested in creating a machine that can curate in a diverse and ethical way, that is not founded in white supremacy or structures of inherent racism. Much of the art world is affected and effected by both of these issues. So mowna asks, is it possible to create an AI that looks at the art and curates with diversity, equity and inclusion? It is important to build this machine now, before other big tech companies design algorithms that erase the artist and define AI curation.” ~cari ann shim sham*, Co-founder and Curator of mowna.

logo


“This Show is Curated by a Machine 🤖” marks the third online art experience by mowna, the first being its Opening Show now available to members in the mowna collection, and the second being the current exhibit, the 2021 mowna Biennial. The Biennial is mowna’s direct response to the gap in the art world seen after the coronavirus pandemic, and showcased art of all mediums that otherwise would’ve gone unseen. Tickets to the Biennial will be available until the show closes on September 22nd, and are sliding scale pay what you wish, after which “This Show is Curated by a Machine 🤖” will be installed and available for online viewing. 


Artists may submit up to 10 works of art per submission and artists will be paid 70% of ticket and membership sales from the show, with the other 30% paying for the creation of the platform. There is no submission fee to apply, and all mediums of art are welcome. The works must have been completed after January 1, 2020. The deadline for submissions is August 20, 2021 at 12 PM ET. Contact The Silo for more information.


As the global community continually moves further into a multi-faceted technological way of life, the way art, across all mediums, is consumed, has been changing in ways to make art more accessible while remaining true to the integrity of all genres. mowna recognized this growing, transformational need pre-pandemic which catalyzed the formation and birth of the Museum of Wild and Newfangled Art  to meet the ever-growing needs of an ever-changing art world.


mowna is at the center of the exponentially changing art world and makes it their priority to showcase art from all walks of life. With a mix of what is familiar and unfamiliar, patrons will see artists who’ve been curated by the Whitney or the MoMA along with artists available only on mowna


“This Show is Curated by a Machine 🤖” will run from September 23, 2021 through January 31, 2022 at mowna.org.  mowna exists to provide an international online platform for the most timely, diverse, and preeminent artists. 

Human Consciousness & Artificial Intelligence Meet In Designer’s Fabrics

Featured Designer Brian Swift used PAOM to print fabric for his latest collection inspired by the Technological Singularity: a theoretical time in which human consciousness and Artificial Intelligence merge and become a new, unrecognizable species.

shop the designer PAOMBrian collaborated with a machine learning algorithm to imbibe his photographs with a psychedelic quality. These computer generated compositions were then printed onto fabric and used throughout his latest collection.

brian swift tshirt

For more work check out Brian’s site brianswift.com

print all over me ai fabric brian swiftdesigns

paom smiley face

Supplemental- MONA the world’s first artificial intelligence clothing designer

Ontario Set to be First Province to test Auto-driving Vehicles and Technology

Ontario First to Test Automated Vehicles on Roads in Canada

Province Supports Innovation in Transportation Technology

 

You should take auto-driving cars seriously- every major Auto manufacturer is venturing forward with concepts like this one- GM's EN-V
You should take auto-driving cars seriously- every major Auto manufacturer is venturing forward with concepts such as this one from General Motors- the GM EN-V

 

Ontario is launching a new pilot to allow for the testing of automated vehicles on Ontario roads.

 

Automated vehicles are driverless or self-driving vehicles that are capable of detecting the surrounding environment using artificial intelligence, sensors and global positioning system coordinates. Automated and connected vehicle technologies have the potential to help improve fuel efficiency as well as reduce traffic congestion, greenhouse gas emissions and driver distraction.

 

Beginning on January 1, 2016, Ontario will lead Canada as the first province to test automated vehicles and related technology on-road. Currently there are nearly 100 companies and institutions involved in the connected vehicle and automated vehicle industry in the province. The pilot will enable those companies to conduct research and development in Ontario rather than in competing jurisdictions, as well as support opportunities to bring automated vehicles to market.

 

The province is also pledging an additional $500,000 in funding to the Ontario Centres of Excellence Connected Vehicle/Automated Vehicle Program, in addition to the $2.45 million in funding recently provided. The program brings academic institutions and business together to promote and encourage innovative transportation technology.

 

Ensuring Ontario’s place as a world leader in the auto, transportation, information and communications technology sectors are part of the government’s plan to build Ontario up. The four-part plan includes investing in people’s talents and skills, making the largest investment in public infrastructure in Ontario’s history, creating a dynamic, innovative environment where business thrives, and building a secure retirement savings plan.

Not all concepts are futuristic looking such as Google's modded Prius. We're betting Ontario will test more conservatively styled auto-drivers such as this one. CP
Not all concepts are futuristic looking such as Google’s modded Prius. We’re betting Ontario will test more conservatively styled auto-drivers such as this one. CP image: New York Times

QUOTE

 

“In the world of transportation, Ontario has the opportunity to show leadership on automated technology. Today, Ontario is making its claim in the global marketplace by taking the next steps in automated vehicle innovation. The automated vehicle pilot will ensure that the province’s roads remain safe without creating burdens that stifle investment and innovation in Ontario’s dynamic business environment.”

— Steven Del Duca, Minister of Transportation

 

“Ontario is a global leader in developing and manufacturing the next generation of vehicles.

This new pilot program will build on our success, and help Ontario lead the development of automated and connected car technologies. In this highly competitive global economy, investing in people’s talents and skills to create the next generation of innovative technologies is good for business, and can help lead to the easier movement of goods and services across the province.”

— Brad Duguid, Minister of Economic Development, Employment and Infrastructure

 

QUICK FACTS

 

  • Information about applying for the pilot will be available online from the Ministry of Transportation in late November.
  • The Institute of Electrical and Electronics Engineers forecast that by 2040, autonomous vehicles will account for 75 per cent of all vehicles on the road.

 

LEARN MORE

 

Ontario Investing in the Next Generation of Connected Vehicles

Connected Vehicle/Automated Vehicle (CVAV) Research Program

 

Who wouldn't want to ride/drive Chevrolet's FNR concept car?
Who wouldn’t want to ride/drive Chevrolet’s FNR concept car?

 

Disponible en français:
L’Ontario est la première province à mettre à l’essai les véhicules automatisés La province encourage l’innovation dans les technologies des transports 
L’Ontario lance un projet pilote en vue de la mise à l’essai de véhicules automatisés sur ses routes.
Les véhicules automatisés sont des véhicules sans chauffeur ou autoconduits qui peuvent détecter l’environnement avoisinant grâce à l’intelligence artificielle, aux capteurs et aux coordonnées fournies par le système de positionnement global. Les technologies relatives aux véhicules automatisés et connectés ont le potentiel d’améliorer le rendement du carburant et de réduire la congestion routière, les émissions de gaz à effet de serre et la distraction au volant.
Dès le 1er janvier 2016, l’Ontario sera le premier lieu au Canada à mettre à l’essai les véhicules automatisés et les technologies connexes sur la route. Près d’une centaine d’entreprises et d’établissements œuvrent actuellement dans le secteur des véhicules connectés et automatisés dans la province. Le projet pilote permettra à ces entreprises de mener des activités de recherche et de développement en Ontario plutôt que dans les territoires concurrents, en plus de créer des possibilités qui favoriseront l’introduction des véhicules automatisés sur le marché.
La province s’engage aussi à injecter 500 000 $ de plus dans le Programme de recherche sur les véhicules connectés et autonomes par l’intermédiaire des Centres d’excellence de l’Ontario, outre le financement de 2,45 millions de dollars récemment alloué. Ce programme réunit des établissements universitaires et des entreprises en vue de promouvoir les technologies de transport novatrices et d’encourager leur utilisation.
S’assurer de faire de l’Ontario un chef de file mondial dans les secteurs de l’automobile, du transport et des technologies de l’information et des communications s’inscrit dans le plan du gouvernement visant à renforcer la province. Ce plan comprend quatre volets : investir dans les talents et les compétences de la population, faire le plus important investissement dans l’infrastructure publique de l’histoire de l’Ontario, créer un environnement dynamique et novateur où les entreprises prospèrent, et établir un régime d’épargne-retraite sûr.
CITATIONS
« L’Ontario a l’occasion de montrer l’exemple par le recours à la technologie automatisée dans le domaine des transports. L’Ontario marque aujourd’hui le marché mondial de son empreinte en franchissant une nouvelle étape pour stimuler l’innovation dans l’automatisation des véhicules. Le projet pilote sur les véhicules automatisés sera mis en œuvre de façon à s’assurer que les routes de la province restent sûres sans créer des fardeaux qui étoufferaient l’investissement et l’innovation dans le dynamique environnement commercial de l’Ontario. »— Steven Del Duca, ministre des Transports
« L’Ontario est un chef de file mondial dans la conception et la fabrication de la prochaine génération de véhicules. Ce nouveau projet pilote misera sur notre succès et aidera la province à prendre les devants dans le développement des technologies des véhicules automatisés et connectés. Dans cette économie mondiale hautement concurrentielle, le fait d’investir dans les talents et les compétences de la population afin de créer la prochaine génération de technologies innovatrices est bon pour les affaires et peut faciliter un mouvement plus fluide des biens et des services dans l’ensemble de la province. »— Brad Duguid, ministre du Développement économique, de l’Emploi et de l’Infrastructure
FAITS EN BREF

  • Le ministère des Transports offrira de l’information en ligne sur la présentation de demandes dans le cadre du projet pilote à la fin novembre.
  • L’Institut des ingénieurs électriciens et électroniciens prévoit que les véhicules autonomes compteront pour 75 p. 100 de tous les véhicules sur la route d’ici 2040.

 POUR EN SAVOIR DAVANTAGE
Soutenir l’innovation dans les technologies de transportProgramme de recherche sur les véhicules connectés et autonomes