Montreal Musings-day to day life III!

Now the writer in me has started understanding the difference in going on a planned holiday on a tour and living at a destination for a reasonable period. Taking a tour is like going for a movie and then to go back to your routine. Whereas staying at a place is like reading a long novel. Enjoy it part by part. And keep on doing it for a much longer duration.

The leaves are changing the colours but not as fast as I have seen at other locations. In Montreal maybe only the Maple leaves change the colours, others only wither as winter arrives. Hopefully, within the next few weeks, I will come to know what happens.  I said this, and I saw some lovely colours today when we went out for lunch.

Public transport is one thing that I am enjoying; I don’t get that opportunity in back home. It feels nice to say hello or good morning to the bus driver while swiping the card. The response is also always a smile. Some of us may think that it is a bit mechanical, but it is anytime better than ignoring each other. Now my French vocabulary has reached the level of Merci and Bonjour! Priya shared one experience with me, which was shocking. Once while Priya was in a bus standing, a lady struggled to climb up with a walker. The driver did not start the bus as she was struggling and must have been hoping that someone will provide her with a seat. The driver even requested people to do so. But it took a few minutes for someone to decide to offer her a seat. Jaya and I are sometimes offered with the seats, but maybe we do not look old enough.

A couple of days back there was Environmental March which 50000 people attended. On that day, Montreal city contributed in a very innovative way. The public transport for all the people was free for the whole day, to encourage people to attend the march.

One thing I observed about the weather is when it is raining intermittently, the temperature may be higher, but it feels damp and cold. Five degrees cooler with Sunshine feels warmer even in the shade.

There is one interesting service offered. In our area, there was a power outage for about four hours due to some cable related issue. The affected zone was isolated, and the power was restored. It is now four days, but the fault is yet to be rectified. But that is not the end of the story. Electricity people have made some temporary arrangement with wiring and have provided power continuously to affected people for these four days using a truck-mounted generator.

Though I see at least one beggar at most Metro Stations (but never more- which is a surprise).

The developed countries have their own different systems and facilities for the pets. I see many shops catering to pets. I see many veterinary doctor’s clinics too! Probably many couples prefer to have Pets instead of children. These shops keep different clothing available for the pets. These include wedding dresses, clothes for winter, raincoats for use during rains and so on.

Another interesting thing found here is the number of flowers and flower beds, currently. People know that the flowers are going to last only for six or seven months, every year before winter takes over. But they follow this expensive hobby!

One fascinating place to visit is the festival of lights at the Botanical Garden, near the Olympic Stadium. Inspired by the ancient Chinese tradition, this event has been enchanting people since its creation. Glittering lanterns of various shapes illuminate the Chinese Garden and the eyes of thousands of visitors who come to enjoy the magical spectacle. The Japanese Garden leads you along a meditative illuminated path inspired by the seasons, and the First Nations Garden features an intense multimedia experience that lets you feel the beating heart of the Cycle of Life. One interesting thing; the path in the Japanese garden is quite dark, but they have made the displays with the help of mirrors, the trees appear as if they are full of fireflies! One more speciality was the Bonsai trees. One of them was as old as 160 years.  Montreal Olympic Stadium Tower in the background of light festival.

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Even as late as 15 years many Indian food items were difficult to procure, including the raw material like dal etc. But it is a pleasant surprise that most of the things are available here in Montreal reasonably easily. One can imagine their availability in the Bay area in SFO and New Jersey!

It appears that the preparations for Durga Pooja, Garba in Navratri and Diwali are already on or are being discussed. I will feel happier when assimilation of festivals also takes place, and friends other than those of Indian Origin are invited to celebrate such festivals.

I hear of Indian people who have been living in Toronto and Montreal for more than forty years. In the initial phase of their lives, it must have been trying for them to live an Indian way of life. But with more and more people living in different parts of the world, I was not surprised to see a typical store in one of the malls selling Agarbattis! Business is the ultimate leveller in this world. I read somewhere recently, that Agarbattis worth Rs. 800/ crores were imported in India from China. When we were on the Alaska Cruise about three years back, there were at least forty different Indian food items available in the spread. These included Dal- Khichdi and Malvani Fish!

With more and more Indian professionals becoming financially more comfortable at a young age, they are going to travel more, and I won’t be surprised if Indian items become very popular like Indian Curry and Indian Restaurants in the UK! Add to this, the children of Indians born in foreign countries; so, this number is going to become very big as keeping touch with home base  has become more comfortable with video calling and internet calling.

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By the way, we went out today to eat Pani-puri and Wada-Pav! But I had Wada-pav and Thali!  The joint is started by a French guy who got himself trained in Mumbai.The Chai was served the Indian cutting way.

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The day before yesterday, I had breakfast in a restaurant serving middle eastern food, on top of that it was vegan. There was some lovely omelette, another item which was like our Sanja and a dish made out of lentils with a nice bread! I had fun.

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Another thing I saw on Montreal roads. Public charging of EV’s is now available. My little knowledge of driving cars for fifty-plus years tells me that fuel tank and the lid are on the opposite side of where the driver sits. But the Tesla I saw being charged on the road, had the charging on the same side as the driver side! Can anybody explain to me why this would be so? All other EV’s seen in Montreal followed the normal convention!

Some interesting things like Puneri Patya!

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Man and the Machine!

I read about a flight that was required to land in the Hudson River in New York. US Airways Flight 1549 was an Airbus A320-214 which, in the climb out after takeoff from New York City’s LaGuardia Airport on January 15, 2009, struck a flock of Canadian geese, just northeast of the George Washington Bridge and consequently, lost all engine power. Unable to reach an airport, pilots Chesley Sullenberger and Jeffrey Skiles glided the plane to a ditching in the Hudson River off Midtown Manhattan. All 155 people aboard were rescued by nearby boats and there were few serious injuries.

This is the animation video of the incident. While reading about the incident and after watching the video and the video clip from the movie Sully (2016), questions came to my mind how far can a machine (based on AI- Artificial Intelligence-) take over human jobs and are they good enough to interpret the tricky situations. In this case, the incident occurred at the height of 2800 feet which is considered very low to handle such incidents. The pilots showed fantastic skills and managed to land in the Hudson River in very chilly conditions.

When various parameters were analyzed by different agencies, they used data from the black box and created simulations based on the data retrieved. Initially, they concluded that there may have been a pilot error because the auto simulations proved that the pilots should have acted differently and could have landed on either of the two airports which were in the vicinity. Both these airports had cleared the flight for emergency landing. But the pilot declared that he could not make it to the airports. Then data was loaded on simulators and two pilots “flew” the aeroplane, based on data captured. About 13 such pairs “flew” the plane on the simulator. Seven pairs could not reach the airport.

But when the pilot Sully was being interviewed, he said that he did not agree with the findings because the findings were applied to the situation, immediately instructed the pilot to turn towards the airport. But when the actual bird hits happened, the pilots were stunned and by rough estimate did not react for 35 seconds. The plane ultimately landed in the river 218 seconds after the bird hit. Out of this, 218 seconds 35 seconds were lost in the pilots recovering from the shock. Another important aspect was that the procedure stipulated by the plane manufacturer Airbus had written it with the assumption that the flying height would be 33000 feet at such times. At this height, humans have enough time to react. But at 2800 feet height, time left to react was less than four minutes before either landing or crashing. When 35 seconds of “no action”  time were considered in the simulation tests, the results matched with the pilots’ actions in deciding that not enough time was left for them to go back to any of the airports. Both pilots were honoured by many authorities for their heroic efforts which saved all 155 lives. See this interesting clip below, from the Movie “Sully” based on the incident with Tom Hank in the lead road.

Now the question comes to mind who is better Man or Machine? Would machine have required 35 seconds of reaction time? Maybe no. But unless this real-life situation was available in the database for the AI system, how would a machine have reacted? The pilot could see that there was the river Hudson around, which he thought would have become a spot for “soft landing”. At any other place in New York or New Jersey, the aeroplane would have simply crashed into buildings and maybe exploded. Would an AI system have known at the time of the incident, the option for a soft landing? Another question that comes to mind is how many combinations would be required to be present in AI database, for the system to understand that combination of 2800 feet height, time remaining of (218-35=) 183 seconds, wide enough river Hudson being around and there were no taller buildings in the path etc, etc. By analyzing hundreds of such options, the AI system would have arrived at a conclusion, what would be the “safest” option to save lives and the aircraft. At least in this case, with the current level of technology, the human decision was a superior decision.

The way humans react, their mind thinks out of the box! AI system decides only based on what data is available with it. The human mind applies its thoughts and extrapolates to arrive at the correct conclusion. It automatically does the risk analysis and tries to take the best possible decision under the circumstances. How far AI systems will be able to extrapolate, it is difficult for us to judge. 50 years hence, who knows?

I will share another example from the Aviation field. The incident is known as “Gimli Glider”, this happened in 1983 and the plane was Boeing 767 used by Air Canada. There were series of errors in the measurement of fuel, manual, gauges, dip stick, at every stage. There was a transition going on from the FPS system to MKS system in Canada at that time. One thing led to another ending in the incident. See the link below.

https://en.wikipedia.org/wiki/Gimli_Glider

Incident is too technical to be explained here. But the end result was all the fuel tanks were suddenly empty, half way to the destination. We can say that all these errors and complications probably could have been avoided by AI. Yes and no both because AI stuff takes time to “learn everything”! After many such incidents, AI would become “an expert” in this area. But what happened later is where human intervention will show us the limitations of AI over human intelligence. When the pilots felt some issue, they decided to do an emergency landing at Winnipeg. But when they realized that there was zero fuel, the copilot and the pilot started thinking fast. The pilot was a gliding expert and he calculated that the plane could glide 16 times the height at which the plane was flying. The copilot was from that area, and he had worked on a Royal Canadian Air Force Station in the area. He judged the parameters and decided to land at that Ex-air force station at Gimli. Only problem was that both the pilots and air traffic controllers were not aware that the station had become a racing track. But it was only because of the knowledge of the pilots and the way they applied it sensibly, the plane ultimately landed safely with no major injuries to anyone on the flight as well as on ground.

This brings out the same question, AI or Humans who are better? This discussion is going to go on forever but AI systems will become better and better but nobody really knows what is stored in the Human brain and what the humans will retrieve from their brain, is going to be really difficult to judge. But we should not forget one thing, humans are the ones who are creating an AI system!

I read somewhere about the movie Sully! The copilot  Skiles is asked in the end what you would have done differently if the same incident were to occur! He smiles and says, “I would make sure that we landed in Hudson River in July and not as we did in January!”