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Tesla Working on Full Self-Driving Mode, Extending AI Lead - AI Trends

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Tesla's goal to release its level 5 Full Self Driving (FSD) mode autopilot capability in 2021 was deemed unrealistic by the CEO of competitor Waymo in a recent interview. Tesla is the only autonomous vehicle manufacturer using real-time cameras, rather than pre-mapped Lidar (Light Detection and Ranging) to guide vehicle movement. Tesla also uses its own AI chips, developed after early experience with NVIDIA chips. "It is a misconception that you can simply develop a driver-assistance system further until one day you can magically jump to a fully autonomous driving system," stated John Krafcik, CEO of Waymo, the self-driving startup spun off from Google's X lab, in a recent interview with German business magazine Manager Magazin, reported in Observer. Krafcik acknowledged that Tesla "is developing a really good driver assistance system," but very different.


Pinaki Laskar on LinkedIn: #AI #DeepLearning #Machinelearning

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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 What type of #AI generates something new from data it is fed? It might be the third wave of Artificial Human Intelligence, dubbed as Neuro-Symbolic AI using #DeepLearning to boost the Symbolic AI approach, and vice versa, by combining logic and learning to transcend both limitations. In terms of Deep Learning, some of the issues are as follows, #Machinelearning requires a massive amount of data to train neural networks, which is not easy to get every time. Selecting the right algorithm is crucial as the results may be biased and lead to a bad prediction. They lack the ability to generalize and are bound by their training data i.e. there is a lack of creativity and they are only efficient at what they already know.


How do we know AI is ready to be in the wild? Maybe a critic is needed

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Mischief can happen when AI is let loose in the world, just like any technology. The examples of AI gone wrong are numerous, the most vivid in recent memory being the disastrously bad performance of Amazon's facial recognition technology, Rekognition, which had a propensity to erroneously match members of some ethnic groups with criminal mugshots to a disproportionate extent. Given the risk, how can society know if a technology has been adequately refined to a level where it is safe to deploy? "This is a really good question, and one we are actively working on," Sergey Levine, assistant professor with the University of California at Berkeley's department of electrical engineering and computer science, told ZDNet by email this week. Levine and colleagues have been working on an approach to machine learning where the decisions of a software program are subjected to a critique by another algorithm within the same program that acts adversarially.


What if an All-Knowing Algorithm Ran Traffic and Transit?

Slate

A journalist who reports on cities and autonomous vehicles responds to Linda Nagata's "Ride." I like to think of myself as deeply skeptical of the many internet algorithms telling me what I want and need. I turn off targeted advertising wherever I can. I use AdBlock to hide what's left. Most of my YouTube recommendations are for concerts or sports highlights, but I know I'm just a few clicks away from a wild-eyed influencer telling me to gargle turpentine for a sore throat. But I make an exception for the sweet, all-knowing embrace of the Spotify algorithm, to whom I surrender my ears several times a day.


Would You Let a Self-Driving Ride-Share Car Decide Where You're Going?

Slate

This story is part of Future Tense Fiction, a monthly series of short stories from Future Tense and Arizona State University's Center for Science and the Imagination about how technology and science will change our lives. A handsome boy, 17 and soft-spoken, told Jasmine about an Easter egg. "Try it," he urged, sincerity in his voice and in his eyes as he gazed at her across the tall front desk. She smiled all day at the hotel's guests, chatting with them when time permitted, listening to their stories. Her role came easily: bright-eyed island girl, young and pretty, a white flower tucked behind her ear. "Ah, your parents are here," she said as the couple emerged from the elevator alcove into the expansive lobby, its glittering perfection empty now of other guests in the lull of early afternoon. The boy waved at them, then turned again to Jasmine. "Give it a try," he exhorted her in a conspiratorial whisper. She didn't want to disappoint those eyes. So she played along, teasing, "I might." It was just a little game, after all. "And if it works for you, then tell someone else, OK? Keep it going." "And how will I know if it works?" He answered with a blissful smile. His parents joined him at the desk. Jasmine wished them all a safe trip home. Her shift ended at 4. Still wearing her uniform--a blue, body-hugging aloha-print dress--she left alone through the employee entrance, sighing at the shock of transition from air-conditioned comfort to the withering heat and humidity of a late-summer afternoon. Out of sight but audible, surf rumbled against the artificial reef. Closer, mynah birds chattered amid the heavy bloom of a rainbow shower tree. After a few minutes, an electric cart rolled up, nearly full with resort employees on their way home.


Why Java is the Most Preferred for Artificial Intelligence - Techiexpert.com

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AI has brought digital transformation into business operations across various industries. It has become a significant part of our lifestyle. We can offer many use cases where Artificial Intelligence simplifies the process workflow, from autopilots for self-driving cars to using robots to handle warehouse jobs, implementation of chatbots in the customer care portals and more. The Artificial Intelligence technology implications for the purpose of business processes in different sectors are enormous. That is why the purpose and need for hiring skilled java developers to build AI-based apps is skyrocketing in recent years.


Cellphone and tech clues that your partner is cheating on you

FOX News

An easy way to keep two romantic lives separate is to buy two separate phones. That way, the cheater doesn't get confused and text the wrong person by mistake. A second phone is also a liability, even if expressed as a "work" or "emergency" phone. Another technique is to purchase a separate SIM card. Some phones allow you to have two SIM cards but that can be a hassle. A much easier way is to get a Google Voice number that rings on the current phone. In this photo illustration, Apple's iPhone 12 seen placed on a MacBook Pro.


A non trivial elevator control system in a train station by reinforcement learning

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Today's urban life is out of imagination without the presence of elevators and the elevator controller algorithm has been well studied by different techniques including reinforcement learning [1]. A glance over the references gave the impression that the majority of studies has focused on elevators installed in high-rise buildings while those in train stations are barely discussed. Elevators in train stations, however, deserve their own attention because of their obvious difference from systems in buildings. A good example is the Gare de Lyon in Paris, a station with 2 underground floors on which you find 2 different train lines' platforms respectively. From my personal experience, it usually takes quite a while to get to floor -2 from floor -1 for a train change with my baby stroller by elevator.


ROLE OF ARTIFICIAL INTELLIGENCE FOR DISABLED PERSONS

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Artificial Intelligence (AI), a revolutionize technique with the help of which, it is possible to create intelligent machines which can behave, think, and even make decisions just like a human. In short, it is concerned with the design of intelligence in artificial, particularly a computer, a computer-aided robot, or software which think intelligently. A Leap in the essence of the Artificial Intelligence lead to the formation of accelerated world-changing technologies that can work in the domain to impact the future of all the entities around, preferably for the upgradation of humanity. AI is a dynamic tool, efficient in multitasking used across industries for better decision making, optimizing efficiency and getting rid of repetitive work. In today's world, Artificial Intelligence plays an undeniable important part in the real world including different areas such as automobile, agriculture, social media, Entertainment, Gaming, Education, Surveillance, Finance, Robotics, Space Exploration, Healthcare etc. AI proved to be a breakthrough in Health sector for differently-abled people by making it easier to create interactive tools that support physical accessibility and independence.