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In the upcoming years, mobility choices—or how we score from level A to level B—will bridge the gap between ground and air transportation—yes, that methodology flying autos. Technological tendencies are remodeling mobility for folk and, leading to unprecedented alternate. Nand Kochhar, vp of car and transportation for Siemens Software program says this transformation extends previous transportation to society in approved.

“The strategy in which forward for mobility goes to be multimodal to meet particular person demands, to produce a holistic ride in a frictionless method, which affords comfort, comfort, and safety to the pause particular person.” Fascinated about transportation in a different method is share of a bigger pattern, Kochhar notes: “Realizing at few other tendencies love sustainability and emissions, that are now not factual a anguish for the car industry but to society as a total.”

The advances in technology will have advantages previous shipping and commute enhancements—these technological tendencies, Kochhar argues, are poised to drive an infrastructure paradigm shift that will suppose newfound autonomy to of us who, these days, aren’t ready to score round by themselves.

Kochhar explains, “Excellent imagine of us in our have households who’re in that stage where they assign now not appear to be ready to drive these days. Now, you is prone to be ready to provide them freedom.”

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Transcript

Laurel Ruma: From Technology Review, I’m Laurel Ruma, and that is Exchange Lab, the show cover that helps industry leaders create sense of recent applied sciences popping out of the lab and into the marketplace. Our topic these days is the manner forward for mobility.

In 2011, Marc Andreessen famously acknowledged, “Software program is drinking the arena.” Now, 10 years later, we’re examining how tool is drinking the car.

Defend in mind this: these days’s autos have extra tool in them than mechanical parts. Independent autos are factual one share of the parable; the opposite is the swiftly progression of man-made intelligence and how autos are being constructed. Two phrases for you: engineering, innovation.

My customer is Nand Kochhar, vp of car and transportation for Siemens Software program. He joined Siemens in 2020, after virtually 30 years at Ford Motor Company, where he held a more than a couple of of positions, together with World Safety Systems chief engineer and govt technical chief. This episode of Exchange Lab is produced in affiliation with Siemens.

Welcome, Nand.

Nand Kochhar: Thanks, Laurel. Or now not it’s valid to affix you.

Laurel: What does the manner forward for mobility gaze love to you?

Nand: At the same time as you happen to stare upon the car industry, or now not it’s going through an unprecedented transformation. It feels love or now not it’s environment itself for the following 100 years since the industry has been moderately procure through technology enhancements and has been progressing in a continuous development mode. On the unusual time it goes through a foremost shift. When we stare upon tendencies love the growth of the arena population, that drives tendencies love urbanization, mega metropolis ideas. With those tendencies, cities are getting crowded, and that poses an colossal anguish for mobility choices for folk living in cities all over the globe.

The strategy in which forward for mobility goes to be multimodal to meet particular person demands, to produce a holistic ride in a frictionless method, which affords comfort, comfort, and safety to the pause particular person. Realizing at few other tendencies love sustainability and emissions, that are now not factual a anguish for the car industry but to society as a total. To present a eradicate to sustainability and the particular person tendencies we factual touched on, the manner forward for mobility looks to be connected, self reliant, have a shared mobility, and be electrified—in other phrases, CASE as an acronym.

Future mobility choices are crossing the boundaries of ground and air transportation with choices love flying autos, vertical take dangle of-off and touchdown objects (VTOLs), and drones for transporting goods. That you simply may well peek how the manner forward for mobility of each of us and goods is remodeling, and that’s what I intended by the unprecedented alternate we’re going through. Now we can discuss all aspects of CASE, which we factual outlined—let’s originate with electrification.

You peek in the news that some governments round the arena are banning the sale of interior combustion engine (ICE) autos by 2030. Then, you peek big investments by public and personal sectors on electrified manufacturing methods. It is projected that 50% of car manufacturing will be electrified by 2030. It implies that while interior combustion engines will be round, there’s going to be a combination of hybrid, lope-in hybrids, and pure battery electrical autos coming into the market. That you simply may well peek how the tendencies are remodeling and how the mobility situation is altering because these tendencies.

Now, when we stare upon electrification, battery applied sciences continue to venerable, and innovation is at the forefront. For poke, it’s possible you’ll presumably perchance perchance presumably state innovation is at the very ideal stage in my 30-plus years working in the car world. At the same time as you happen to take into myth battery electrical autos, clearly we started from lead acid batteries. In the Gen1 electrical autos, we moved to lithium iron-primarily based exclusively mostly batteries, and we’re now coming into into solid-deliver batteries and one more unusual enhancements, which we’re now not even talking about.

As these enhancements in battery applied sciences venerable, a couple of of the worries of the early days of electrical autos—for instance, the vary fear, the long battery charging times — those kinds of issues are slowly going away. Now with investments in charging infrastructures and the flexibility to charge in less than 15 minutes, that’s raising particular person acceptance at a heightened stage. So, one in all the tendencies on electrification is now not even a pattern: or now not it’s turning into extra exact. We can take dangle of any country round the globe. There’s big funding. In the west share of the US, the infrastructure is already constructed in attach from a charging standpoint. Other folks are riding from metropolis to metropolis, to illustrate LA to San Francisco, and are getting extra elated each year riding electrified autos.

Searching at one more pattern—all people must be connected. They have to continue from home into their subsequent home, which is their car, or any transportation diagram. What they wish is to make certain regardless of they’re observing, in the event that they’re observing a Netflix movie in the home, they must continue observing while they sit in the car. That is the stage of connectivity search files from from a particular person standpoint, because all people appears to be carrying an edge diagram. It would seemingly be a cell phone, or a computer, and every little thing is connected—even in the car—to boot to it’s a ways in the home. So, it’s possible you’ll presumably perchance well peek a foremost pattern from a connected standpoint.

Laurel: I suspect that’s specifically in fact helpful to attach the stage that we’re now not factual talking about what we have faith of because the primitive car. And factual for our listeners, CASE is an acronym: connected autos, self reliant or automatic riding, shared, and electrical.

When we take into myth the auto industry, even supposing we’re enthusiastic in the overall aspects of mobility, that shared facet plays a colossal position, doesn’t it? On myth of, as you mentioned, it may well probably presumably perchance perchance very effectively be an electrical car, it may well probably presumably perchance perchance seemingly be a drone, or it may well probably presumably perchance perchance seemingly be a special car—specifically when we’re enthusiastic in industrial applications love provide autos, for instance. So, when we take into myth the mobility of the long plod, are you furthermore deconstructing what a car methodology?

Nand: Laurel, you touched on the level. When we discuss mobility, or now not it’s now not factual about about autos or autos or SUVs anymore— every little thing is effectively-connected. And what I acknowledged in the opening, one in all the tendencies is multimodal mobility. So, when going from level A to level B, there are a selection of modes of transportation, and customers over the following decade or so are going to be the utilization of an increasing selection of of those multimodal modes. It may presumably perchance perchance very effectively be taking a explain as a lot as a certain level, after which the utilization of an electrical bicycle. It may presumably perchance perchance very effectively be sharing a taxi after that negate score to the final commute deliver. All these objects are riding a foremost shift in transportation, and furthermore a foremost shift in the industry objects getting generated. Or now not it’s redefining the total industry and its ecosystem.

When we discuss ecosystem, it covers now not simplest the autos and autos and the primitive approach to taking a stare upon things, it’s a ways furthermore redefining the Uber and Lyft industry objects, for instance—those are the shared mobility operations all over the globe.

Laurel: When we attain take into myth autos or autos, specifically, or now not it’s easy to heart our orientation of what the long plod looks love with the self reliant car. We’re now not rather there but. The fifth stage of self reliant riding is entire viability and entire automation. What stage are we at now, and what attain we gaze forward to the following year or two?

Nand: For those that stare upon the Society of Automobile Engineers, (SAE) definitions of ranges, Diploma 1 and Diploma 2 are partial automation. We’re already there with a majority of the intellectual-scale normal equipment producers (OEMs) providing their merchandise. That is, you have automation throughout the guidance, or in the braking. Right examples may presumably perchance perchance very effectively be developed driver-assistance methods (ADAS) parts love adaptive cruise maintain an eye on or self reliant emergency braking. These items are occurring, and they also’ve been maturing over the closing few years. The next stage is Diploma 3—that’s where it will get a tiny bit murky. Some OEMs are claiming they’re already at Diploma 3. Others are cautious about that from a security typical standpoint. At Diploma 3, the diagram will warn you, after which the particular person has to take dangle of over in case of an emergency or if the diagram is now not responding effectively.

Some corporations are claiming we’re already at Diploma 3, and that’s in that stage of migration where it’s a ways determined by what country and what firm you’re talking about. However it’s possible you’ll presumably perchance perchance presumably state from a technology standpoint, we’re at Diploma. Then we reach to Diploma 4. Diploma 4 is where you have to interpret a make domain, but every little thing else is working autonomously—so that you just add some constraints. We now have loads of pilots initiatives round the arena at Diploma 4. From a technology standpoint, it’s possible you’ll presumably perchance perchance presumably state we have Diploma 4 running on public roads. I’ll use examples in the U.S. In Phoenix, Waymo has pilot applications for shared rides, and honest now not too long previously they announced they shall be doing same things in San Francisco. In a single more instance, the Siemens Mobility neighborhood has been working with Bahn Hamburg in Germany, and there is been masses of collaborations for shared race pilots that will presumably perchance perchance be regarded as at Diploma 4.

So, from a technology standpoint, it’s possible you’ll presumably perchance perchance presumably state we’re at Diploma 4 running in the atmosphere as effectively. Now, with out a doubt, the motive or now not it’s now not a mass deployment is since you have to take dangle of into myth the overall other things love public insurance policies and safety standards. Shall we state, in the US, the Nationwide Dual carriageway Online page web page visitors Safety Administration (NHTSA) proclaims what is procure and what those standards are. As things venerable, it’s possible you’ll presumably perchance peek that Diploma 4 will change into an increasing selection of dominant. Diploma 4 autonomy has been completed now not simplest in autos and autos on public roads, but furthermore in the trucking industry. Diploma 5, as you acknowledged, is a tiny extra away. That is where you wish even extra fail-procure applied sciences. Again, corporations are continuing to create growth on that, but that’s where we’re in the ranges of autonomy these days.

Laurel: May perchance perchance you piece some examples of how self reliant autos—now not factual autos—will be integrated into our lives in the next few years? What does that gaze love as you skedaddle away your residence to pass to work?

Nand: That is a for poke valid search files from. We’re initiating to acknowledge with the 2 examples in Phoenix and San Francisco how these autos are getting integrated into our lives, to boot to with the Siemens Mobility, the shuttle I mentioned in Hamburg. So, it’s possible you’ll presumably perchance well already imagine in a given metropolis, the shuttle is being plod autonomously. I suspect there’s a pilot program at the University of Colorado. So, within the utilization of the faculty diagram as a boundary, there are self reliant shuttles running. For those that take dangle of that a tiny bit extra, when these objects venerable, we’ll be running robo-taxis. In other phrases, you make now not have a driver, a human driver or a security driver, at the support of those autos— they are being operated as a immediate. So, the industry objects for corporations love Uber and Lyft, or whoever else they collaborate with, that’s going to alternate and redefine itself. So, that’s an colossal shift.

On personal entrance, I’d state of us will change into elated dropping their kids at a soccer game or at faculty the utilization of robo-taxis, so or now not it ought to change into integrated in our lives. What I for poke score absorbing about is, because the increasing outdated population will get restrictions on riding, or riding prerequisites or riding late at evening, or of us who’re now not ready to drive these days, this stage of autonomy affords a total freedom. On the human aspect, that will get me enraged and keeps me going on engaged on applied sciences, because or now not it’s freedom to gallop for all.

In a approach, I may presumably perchance perchance state it redefines Henry Ford’s normal vision of providing real looking transportation to all people, which the firm advertised support in 1925—to initiate the highways to mankind. Diploma 4 autonomy will initiate the highways to mankind in a fully masses of method—this is able to presumably perchance well simply provide entire freedom, and that’s an colossal alternate and a mega shift from where we’re these days.

Laurel: I cherish that notion, the self reliant car providing autonomy to of us who make now not have it in the period in-between. That is fully a gigantic societal shift.

Nand: Excellent imagine of us in our have households who’re in that stage where they assign now not appear to be ready to drive these days. Now, you is prone to be ready to provide them freedom. It takes the burden off you to pass take dangle of up someone or tumble them off, since you is prone to be confident these applied sciences are going to work. So, that’s the societal pattern we’re talking about.

Laurel: Just will not be always for poke that attention-grabbing, because right here we’re innovating with how autos are being developed, and decades previously, Toyota developed the Toyota System philosophy, which is the iterative course of that became important to the industry and allowed for rethinking and transforming at masses of times at some stage in the pattern of the car. How attain you take into myth product pattern now in 2021?

Nand: Thought to be one of many stuff you touched on in the opening became as soon as about how tool is drinking the arena. We now have a same pronouncing: tool is drinking the car. So, ought to you discuss tool, one notice comes to mind from a product pattern prospective: agile product pattern. So, agile methodologies were primitive in the tool world rather widely for previous few years. The identical methodologies in the period in-between are migrating into agile requirement’s administration, into agile product pattern requirements and altering the ideas of make into generative make, for instance. So, or now not it’s now not factual the tool. Software program by itself can’t suppose the guarantees we’re talking about, self reliant, and electrification, and shared mobility, and heaps others. It has to work hand-in-hand with the corresponding hardware, and that hardware is popping into extra digital—in the car itself and out of doors of the car.

Let’s skedaddle even extra into hardware and power working together. You have masses of embedded tool in the car, and that embedded tool is furthermore connected to the remaining of the infrastructure. So, that’s what we mean when we discuss car-to-car infrastructure, or car to infrastructure of the metropolis web page visitors diagram or the lighting fixtures diagram, for instance. So, autos are turning into computers on wheels. And now, one thing comes to mind ought to you is prone to be going through a foremost shift love that: you wish a unusual electrical structure, you wish a unusual car structure, and these objects have to work hand-in-hand with the tool. So, what happens as a result’s that complexity goes throughout the roof. The auto industry is advanced first of all, but now with this shift occurring, complexity is raised to an colossal stage. And that is the reason where I suspect we reach into play from a digitalization perspective, that we’d really like to convert complexity correct into a aggressive profit by offering choices for digitalization for the car industry and its ecosystem.

Laurel: How is product pattern accelerated with simulation? On myth of that’s one thing you have to have ought to you discuss that added complexity, specifically ought to you is prone to be initiating to integrate synthetic intelligence, good?

Nand: I’m glad you introduced up simulation, it’s one in all the areas I’ve been for poke smitten by for the closing 30-plus years. Simulation has change into doubtlessly the most attention-grabbing method, in my mind, to resolve the issues of these days and to score the industry ready for the following day. The motive I state that’s, in the instance of self reliant autos, whenever you have to show cover an self reliant car works safely, you’d have to drive billions of miles in a physical take a look at atmosphere. Clearly, that’s now not doable. That will take dangle of an colossal more than a couple of of years.

So, simulation turns into necessary in solving what we call edge situations, what the self reliant autos are going to undergo, so as that you just decrease the varied of physical checks you have to plod. The majority of the pattern of self reliant autos and the signal off it’s possible you’ll presumably perchance well attain in a simulation atmosphere. That is an ghastly instance of how simulation is popping into the heart of future product pattern, now not simplest in the product pattern, but furthermore in manufacturing and in the carrier piece of it.

Then you skedaddle even extra. Within product pattern make simulation, and the checking out aspects of it, simulation again turns into very necessary. The take a look at and the simulation have to correlate so the engineers can form their self perception in in the slay signing off on their autos, or any product for that topic. So, you peek simulation and power turning correct into a central piece of product pattern—and, in my mind, perchance a solid assertion, but doubtlessly the most attention-grabbing method to pass forward. Any firm that’s now not into simulations will be left at the support of, in my perspective.

Laurel: How does synthetic intelligence play into the simulation share of it to boot to the total product existence cycle? On myth of now there isn’t any literal approach planning stage to return to. For those that have to create a alternate, you tweak it at some stage in the simulation and the generative make then follows, fine? Or vice versa. However you is prone to be repeatedly making those runt adjustments, after which it’s possible you’ll presumably perchance well factual take a look at it again in exact time?

Nand: That is good. Artificial intelligence, others furthermore call it machine learning, plays a for poke necessary position in our accelerated product pattern approach to doing things. Exchange continually has challenges to suppose, at the pause of the day, quality, trace and timing. Or now not that you just must suppose these objects to maintain industry these days and in the slay when you is prone to be continuing to innovate, when you suppose in unusual applied sciences, unusual car sorts, and heaps others.

At the same time as you happen to stare upon the pause-to-pause course of—what we call a digital thread, a closed-loop course of from pause-to-pause, from idea, to make, to manufacturing, to carrier in a closed-loop manner—I suspect synthetic intelligence plays a colossal position to abet the everyday on an ongoing foundation and to provide exact-time strategies to abet either on the efficiency or on the everyday aspects, or to optimize for trace.

We can chunk this out into loads of pieces because AI and machine learning, and in some locations even IoT, skedaddle hand in hand. Let’s use a producing instance. In these days’s contemporary factory, the factory is outfitted with many sensors that are producing files, even at a machine stage or at an meeting stage. That files must be despatched someplace. In our case, we feed it to the cloud, where the easy project is processed and results are despatched support to expose decisions for the following share coming off the line or subsequent car coming off the line as a quality development, on this situation.

So, you peek AI or machine learning is taking part in a for poke necessary position in all three aspects: make, manufacturing and repair.

Laurel: How can AI or machine learning be primitive with the tips that’s gentle from self reliant autos to assign safer autos? Now that we’re out of the lab and into the streets, what form of true-time strategies attain you have faith goes to be doable?

Nand: Some of that is already being completed these days. For pioneers in the applied sciences, in corporations love Tesla, for instance, they’re running what’s known as the “ghost mode”—that’s, autos are running on the road to procure files. Clearly, they’ve obtained vision methods or perception throughout the cameras, radar, and they also’ve furthermore obtained many sensors on the car itself. That files is being gentle in approved riding prerequisites. And in case there is an incident, that files affords you a full listing of what became as soon as going on, what poke things were running, what were the surrounding autos, what were the weather prerequisites, and so on.

So, that files is being fed are living, or despatched support to the make communities, and that’s the suitable method to be taught what algorithms may presumably perchance perchance simply accrued be tweaked, how we have to change those in line with that files. So, there’s a continuous development in the algorithms and the selection-making through those algorithms, which is all in line with AI.

Laurel: What lessons can industries initiate air car be taught from enhancements in autos and mobility?

Nand: There are masses of lessons. Across industries, there’s so a lot in approved, specifically in the manufacturing arena, whether or now not you take dangle of an aerospace, an car or perchance a situation industry—it’s possible you’ll presumably perchance well even stare upon industrial equipment, heavy equipment, or particular person product corporations. The major approved classic is round the technology. A variety of times, we pause up the utilization of the identical or same applied sciences, and they also make the root. Tto be factual, even for car, we take dangle of learnings from farm equipment, for instance, or heavy equipment industries, because a couple of of those are in a constrained atmosphere, and autonomy and electrification is in those industries equally prevalent.

There are other areas of basics, to illustrate materials engineering. That is approved. So lightweighting is continually an colossal tension on the car industry because in electrical autos, you ought to prolong the vary; in interior combustion engines, you ought to prolong the fuel economy. And for that, lightweighting is one in all the colossal components, whether or now not or now not it’s composite materials or whether or now not or now not it’s every other exotic area topic. Aerospace has the identical anguish—they must create the planes lighter.

We talked referring to the tool. Again, tool in the electronics and semiconductor industry, it’s a ways predominant.  They’ve been the utilization of it for years, and they also’re in management positions from a technology perspective. On the unusual time’s contemporary car, and the long plod car, is carefully dependent on semiconductors and chips, and likewise it’s possible you’ll presumably perchance well peek the learnings can reach from that industry into car—one in all the weird and wonderful things about car is that or now not it’s doubtlessly the most advanced from a mass manufacturing standpoint. Or now not it’s a ways a for poke advanced industry, managing the total provide chain.

Our provide chains were global for heaps of years, and to allow them to continue to be global. Lesson from managing all those provide chains may presumably perchance perchance furthermore be utilized across other industries. There’s masses of applications from general materials study that will presumably perchance perchance furthermore be utilized to electronics and semiconductors, from tool, mass manufacturing tactics, provide chains—all these lessons realized can skedaddle across industries.

Laurel: Yeah, that’s fully attention-grabbing, specifically when we take into myth this foremost shift in the car industry, and the car and mobility industry, and how that will trickle down through all people else as effectively.

Nand: I touched on the technology itself. In the case of processes, whether or now not or now not it’s digitalization or what we call mannequin-primarily based exclusively mostly methods engineering, that prolong is, again, acceptable across industries. Or now not it’s now not factual for car. It would explain to many industries.

Laurel: What attain you peek for the manner forward for the mobility industry in  five to 15 years down the line? What attain you have faith we can question in the particular person market and at some stage in the industry itself?

Nand: That’s a for poke valid search files from. I’ll contact on the acronym CASE that you just expanded on: connected, self reliant, shared mobility, and electrification. These tendencies don’t appear to be any longer going to be tendencies in 15 years. We going to be living through those. These are going to be realities in my mind, in five to 15 years. We can chunk this out even extra, to illustrate in a shorter timeframe; in five years, the electrification we touched on goes to be very venerable. By 2030, as I acknowledged, 50% of the car manufacturing goes to be electrified. For 2030, to hit that more than a couple of of 50%, that methodology merchandise may presumably perchance perchance simply accrued be on the market.

We already peek that. Every foremost OEM has billions of dollars now invested, and have made bulletins about what number of electrified merchandise they’re bringing on the road. Yearly, that quantity continues to develop, specifically ought to you take dangle of a stare upon that globally. Or now not it’s now not a pattern factual in the developed countries, in the Western share of the arena or in Europe. In countries love China, that pattern is at an ultimate faster poke on electrification, for instance.

The actual person these days demands to be connected. They’re connected through their devices. They’re going to query the identical now not simplest of their home, of their fingers, in the mobile telephones, but furthermore in the autos. Independent, because or now not it’s connected, it goes to produce a stage of autonomy because autos will be connected to the infrastructure. Vehicles will be connected to the opposite autos on the road. So, the connectedness pattern goes to continue to develop.

Autonomy is an fascinating one. As I acknowledged, we’re already at a Diploma 2 with out a doubt, by a majority of the industry suppliers, Diploma 3 by some, and likewise you is prone to be going to acknowledge in five to 10 years, the Diploma 4 maturing to a form that a couple of of the things we touched on through robo-taxis are going to be exact. In a 15-year timeframe, it’s possible you’ll presumably perchance perchance presumably very effectively be taking a stare upon the flexibility to drive under even a Diploma 5 kind of condition.

So, I clearly peek all of those tendencies coming into fruition, and they also assign unusual industry objects. They permit masses of technology corporations to enter the primitive OEMs and bet what: the primitive OEMs then have to continue to innovate because they now not simplest have to compete and provide merchandise in the electrified and self reliant vary, but they furthermore have to continue to have their recent industry, which is the interior combustion engines. They’re going to be going hand in hand. So, recent OEMs have an ultimate a bigger anguish than startup corporations or the corporations which shall be working simplest on electrified or simplest on self reliant. They make now not have the legacy stuff coming with that. We’ll peek all these objects, and we are going to have insurance policies, and we are going to have authorities standards. All those, with any luck, will be shaping to some of extent that these objects will change into exact in a five to 15-year timeframe.

Laurel: So many chances. I will’t wait to take dangle of a robo-taxi. Thanks very mighty, Nand, for this incredible dialog on the Exchange Lab.

Nand: Thanks, Laurel. I for poke treasure it. Or now not it’s an honor to be talking to you.

Laurel: That became as soon as Nand Kochhar, vp of Automobile and Transportation for Siemens Software program, whom I spoke with from Cambridge, Massachusetts, the home of MIT and MIT Technology Review, overlooking the Charles River. That is it for this episode of Exchange Lab. I’m your host, Laurel Ruma. I’m the director of Insights, the personalised publishing division of MIT Technology Review. We were founded in 1899, at the Massachusetts Institute of Technology, and likewise it’s possible you’ll presumably perchance well win us in print, on the win, and at occasions each year round the arena. For extra facts about us and the show cover, please take a look at out our web web page, at technologyreview.com. This show cover is on the market wherever you score your podcasts. For those that enjoyed this episode, we hope it’s possible you’ll presumably perchance take dangle of a moment to rate and review us. Exchange Lab is a producing of MIT Technology Review. This episode became as soon as produced by Collective Next. Thanks for listening.

This podcast became as soon as produced by Insights, the personalised advise arm of MIT Technology Review. It became as soon as now not written by MIT Technology Review’s editorial workers.

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