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How Smart City Tech Prevents Accidents

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How Smart City Tech Prevents Accidents


Smart city tech can save several lives that would’ve been lost in road accidents with the help of IoT-based accident detection tools.

Approximately 1.3 million people die annually due to road traffic crashes. According to WHO, the injuries caused by such accidents are the leading cause of death in young adults aged 5-29 years. Generally, such accidents are caused due to reasons such as visibility issues, a lack of coordination and communication between multiple vehicles and poor traffic management. Smart cities employ the requisite technological infrastructure to prevent countless avoidable deaths due to accidents. AI and IoT-based accident detection tools can pre-empt accidents and prevent them to save several lives. Already, there are several IoT tools that can prevent accidents in autonomous vehicles. Some of the ways in which AI and IoT-based accident detection applications achieve this objective are:

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IoT-Based Accident Detection: Smart Street Lamps

Poor visibility is one of the principal reasons for road mishaps annually. Every year, more than 38,700 crashes take place every year due to fog-related visibility problems. IoT-based smart traffic lights can prevent mishaps by improving road visibility during the night or in excessively foggy conditions. For example, if there is a part of a road that has cracked due to excessive traffic or an adverse climatic condition, smart street lamps can use data from computer vision-enabled CCTV cameras to identify the broken tarmac before collectively illuminating it with high-intensity beams to let vehicle drivers know about it. Street lamps can increase and decrease the brightness of light emitted based on external visibility.

IoT-Based Accident Detection: Connected Cars

As the name suggests, connected cars can share information with each other wirelessly in smart cities. Such machines employ proximity sensors and Near Field Communication (NFC) to connect with other vehicles and standard IoT sensors in smart cities. Such vehicles share information to trigger tools such as adaptive cruise control, lane change warning systems, intuitive AI-based braking and blindside assist tools in other vehicles to prevent collisions on roads, even amidst fast, rush-hour traffic.

Smart city tech could also regulate the headlamp lighting of cars to prevent accidents caused by blinding. This feature is useful in the case of drivers who always keep their vehicle headlamps at high-beam settings. If you study road accidents closely, then you will find that they follow a series of typical and well-defined patterns before unfolding. AI and IoT-based accident detection tools can detect such patterns and prevent mishaps and life-loss through seamless device interoperability and prompt information dissemination.



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TECHNOLOGY

Einstein, Empathy and AI

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Einstein, Empathy and AI


Albert Einstein once said: “The ideals that have lighted my way, and time after time have given me new courage to face life cheerfully, have been Kindness, Beauty and Truth.”

Kindness, beauty and truth. You don’t often hear these words in the digital world. How do we integrate these life essentials in technologies like artificial intelligence (AI), machine learning, edge computing, internet of things (IoT) and data at scale? Technology, after all, makes things less personal, right?

One company is working hard to disprove this assumption. Not only that, they have a direct tie to Einstein himself.

A hundred years after Einstein shared his views about human existence, NVIDIA is on a path to connecting kindness, beauty and truth with AI as it explores the human qualities of inference, context and nuance in supportive technologies. As for the famous scientist with the wild white hair, NVIDIA has proven he was right about his prediction of gravitational waves, which can now be seen by astronomers for the first time at the Laser Interferometer Gravitational-wave Observatory (LIGO).

This makes sense. After all, NVIDIA has powered 352 out of 500 of the world’s supercomputers.

NVIDIA has long been known for gaming technologies – it invented the graphics processing unit (GPU) in 1999, triggering the steep growth of the gaming market (much to the chagrin of many parents everywhere) with superior computer graphics and intuitive AI.

Chances are you’ve touched NVIDIA’s tech some time along your day today. Since its launch in 1993, it has been the “AI engine” for thousands of companies, including Google, Microsoft, Amazon, Meta, Alibaba, Tencent, Pinterest, PayPal, Snap and Spotify. The full-stack computer company fuels data center-scale computing solutions with the help of some 20,000 employees in more than 50 countries.

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GPU-powered AI solutions impact critical insights needed for businesses to make better decisions, improve customer service and reduce fraud. The technology is particularly impactful in financial services where around 80% of firms are using artificial intelligence to improve services. NVIDIA’s State of AI in Financial Services 2022 Trends Report reveals that 8 of 10 financial firms are using AI to reduce the estimated $5 trillion in global fraud each year and that conversational AI is being used to mimic customer service representatives in self-service chatbots and call center virtual agents by many banks. AI-led recommendation systems are delivering hyper-personalized experiences to bank customers by giving personalized recommendations.

Conversational AI, however, is where GPU technology can make a significant difference. To date, it has often been seen as deeply flawed by many people, myself included.

Tell me if this sounds familiar. You call a company hoping to resolve an issue. Its AI-driven customer service agent answers in a monotone voice. Soon thereafter, the exchange goes off the rails. You’re asking if they have a product in stock and the agent is asking if you want to make a return. Finally, you request a live agent. I’ve gotten lost in the digital loop of big companies when connecting with a real human being is akin to hitting the jackpot.

What’s missing? From moment one, it’s empathy.

Just to be on the same page, Merriam Webster defines empathy as “the action of understanding, being aware of, being sensitive to, and vicariously experiencing the feelings, thoughts, and experience of another.”

Feeling understood by another is the point of NVIDIA’s article “May AI Help You? Square Takes Edge Off Conversational AI With GPUs”, which explores AI’s unique potential for going beyond the facts, entering the realm of “sympathetic listening.”

As more companies adopt conversational AI, empathy plays a larger role in the customer experience – and, ultimately, growth factors like profitability, customer retention and brand equity. According to Zendesk, 81% of consumers say a positive customer service increases the chances of them making another purchase. AI is more than taking care of business. Customers want to feel good about the exchange and not like a “number.” They want a kinder, more memorable touch point that resolves their real problem and makes them feel “seen.”

Can digital assistants and digital agents get us there?

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With the help of NVIDIA, the popular payment platform Square is making progress. You could say NVIDIA invented one of AI’s greatest solutions – the GPU. The company’s article points out that Square’s tech team “started training AI models at Eloquent on single NVIDIA GPUs running CUDA (a programming interface) in desktop PCs.” Eloquent is an NLP startup acquired by Square in 2019. In addition to the GPU enabled desktop stations, large model training jobs were run on NVIDIA GPUs in the AWS cloud service.  The results were impressive on both training and inference fronts. In particular, Square found “inference jobs on average-size models run twice as fast on GPUs than CPUs. Inference on large models such as RoBERTa run 10x faster on the AWS GPU service than on CPUs.”

Progress? Listen to this: Merritt writes that “Square Assistant can understand and provide help for 75 percent of customer’s questions, and it’s reducing appointment no-shows by 10 percent.”

Trust takes so much time to build. One poor experience breaks it immediately. In an ideal world, our conversations with others are fluid as long as the level of service meets our satisfaction. When an experience falls short, the ramifications interrupt our perception of a brand or worse.

Like New Year’s Eve 2021 when I made a large payment to my house remodeler via check. I sent the check a week ahead to ensure it can be processed before the end of the year. My bank texted me to confirm my identity. I verified that the payment was legit. More than an hour later and seven – SEVEN – transfers from one digital assistant to another and then to a live agent later, the issue was finally resolved. By that time, however, it was already the new year.  As a small business owner, that one day delay had implications on taxes and a supplier’s revenue. 

Many consider Einstein as a great scientist, but I think of him as a great thinker. He understood the power of the human touch. In one essay, he wrote: “When we survey our lives and endeavors we soon observe that almost the whole of our actions and desires are bound up with the existence of other human beings.”

When AI understands the nuances of language, we will have taken the next big leap. Intuitive, empathetic AI is upon us. The question is: will it inspire greater kindness, beauty and truth for those who use it?

Explore NVIDIA’s AI solutions and enterprise-level AI platforms driving the future of financial services. 



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