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Pinaki Laskar on LinkedIn: #DeepLearning #machinelearning #artificialintelligence

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AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner In deep learning, the'deep' talks more about the architecture and not about the level of understanding that the algorithms are capable of producing. Take the case of a video game. A deep learning algorithm can be trained to play Mortal Kombat really well and will even be able to defeat humans once the algorithm becomes very proficient. Change the game to Tekken and the neural network will need to be trained all over again. This is because it does not understand the context.


Velodyne Lidar Introduces Vella Development Kit for Building Autonomous Solutions

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SAN JOSE, Calif., July 29, 2021--(BUSINESS WIRE)--Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a new software development kit which allows customers to utilize the advanced capabilities of Velodyne's Vella lidar perception software in their autonomous solutions. The Vella Development Kit (VDK) enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more. This press release features multimedia. The Vella Development Kit (VDK) from Velodyne Lidar allows customers to use the advanced capabilities of Vella lidar perception software in autonomous solutions. VDK enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more.


The Word "AI" Has Become a Marketing Ploy

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It turns out that Scry is a "social forecasting platform." Users join for free and can enter their personal estimates of the probabilities that certain events will happen, with Scry calculating the average probability. For example, one question is, "Will Apple launch a commercial self-driving electric vehicle before the end of 2024?" As I write this, there are 18 responses, entered up to six months ago. Eight answers are 50-50 and two are 100% yes.


Why is machine learning so hard to explain? Making it clear can help with stakeholder buy-in

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It's hard to get stakeholders to buy into technology they don't understand. In the case of artificial intelligence (AI) and machine learning (ML), very few people actually get it, leaving an explainability gap for data scientists and businesses. Three years ago, the MIT Technology Review published an article about AI titled, "The Dark Secret at the Heart of AI." "No one really knows how the most advanced algorithms do what they do. That could be a problem," Will Knight wrote. "Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey… . The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. "Getting a car to drive this way was an impressive feat.


Global Big Data Conference

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Kodiak Robotics is one of the last private autonomous vehicles companies focused on trucking that is still standing. Nearly all the rest have been wooed by the public marketplace and the capital it can provide. But co-founder and CEO Don Burnette says the three-year-old company's strategy of staying focused and small(er) is paying off. It will be able to deploy a commercial-scale operation for about $500 million in funding, he says in the interview below. To put those go-to-market costs in perspective, that's 10% of what Waymo has raised in external fundraising and less than 25% of newly publicly traded company TuSimple's total fundraise.


Self-driving cars deliver food from Chandler nonprofit to Gilbert seniors - KTAR.com

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A fleet of bright blue wrapped autonomous vehicles are hitting the streets in the East Valley to help a nonprofit deliver meals to seniors. The eye-catching cars are from Waymo and deliver boxes of food from the Chandler-based nonprofit AZCEND to the Gilbert Senior Center each Wednesday morning, according to a press release. Waymo is a unit of Google parent Alphabet Inc. and one of several companies testing driverless vehicles in the U.S. The company stepped up during the COVID-19 pandemic and offered its fully autonomous driving technology to transport more than 2,000 meals for the nonprofit to help scale up its meal delivery service by 110% as its base of the community's most vulnerable residents continued to grow, according to the release. Recently, the meals have been delivered in the newly wrapped blue Waymo Via vehicles. The California-based company started offering autonomous rides to a limited number of customers during 2019 in an early testing program in the Valley before opening its ride-hailing program last fall to anyone seeking a ride within its 50-square-mile service area covering parts of Chandler, Tempe and Mesa.


Autonomous Vehicles Learning to drive by Mimicking Others - ELE Times

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Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk--by watching and mimicking others around them--they would require far less compiled driving data. That idea is pushing Boston University engineer Eshed Ohn-Bar to develop a completely new way for autonomous vehicles to learn safe driving techniques--by watching other cars on the road, predicting how they will respond to their environment, and using that information to make their own driving decisions. Ohn-Bar, a BU College of Engineering assistant professor of electrical and computer engineering and a junior faculty fellow at BU's Rafik B. Hariri Institute for Computing and Computational Science & Engineering, and Jimuyang Zhang, a BU PhD student in electrical and computer engineering, recently presented their research at the 2021 Conference on Computer Vision and Pattern Recognition. Their idea for the training paradigm came from a desire to increase data sharing and cooperation among researchers in their field--currently, autonomous vehicles require many hours of driving data to learn how to drive safely, but some of the world's largest car companies keep their vast amounts of data private to prevent competition.


200 MPH Autonomous Cars Will Make History in World's First High-Speed Robo-Race

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Back in 2004, the Defense Advanced Research Projects Agency (DARPA) Grand Challenge paved the way for autonomous vehicle development. Now, some of the innovators who have competed in that challenge are taking things further as advisors for the Indy Autonomous Challenge (IAC). Organized by Energy Systems Network and the Indianapolis Motor Speedway, IAC is addressed to university teams from all over the world, who will compete for the $1 million grand prize. Hundreds of students from over 40 schools entered the first stage of the challenge. As of this month, the 10 final teams have been established, with more than 200 students from 19 universities.


Trying out a self-driving robotaxi in China

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China has sped up efforts to develop self-driving cars, with local tech companies testing autonomous vehicles in recent years. CGTN reporter Wang Tianyu tried out a robotaxi in central China's Changsha City and shared his first-hand experience.


AI and the New Age of Customer Advocacy - ReadWrite

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A few weeks ago, I called my broadband provider about intermittent outages. The helpful customer support rep looked at my account and cheerfully told me that I could save money by switching to a different plan. A few minutes later, I had changed my plan to one that cost half as much and delivered comparable speeds. At first, I was happy. Because I realized, in reality, no customer service team is proactively looking out for my well-being before I raise a problem.