Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Machine Learning (ML) is about statistical patterns in the artificial data sets, while artificial intelligence (AI) is about causal patterns in the real world data sets. The term artificial intelligence was coined in 1956, but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Artificial intelligence is important because it automates repetitive learning and discovery through data. Instead of automating manual tasks, AI performs frequent, high-volume, computerized tasks.
We're excited to announce that Plainsight is now on Google Cloud MarketPlace! Derek Muller (a.k.a Veritasium) explores why how close we are to having fully autonomous vehicles become mainstream on the roads, and if they're safer than human driven vehicles. This video shows Waymo's (Google's) self-driving car progress and brings up some great questions about the future of the self-driving industry. NVIDIA's new Alias free GAN is capable of generating much more realistic looking faces not only in images but also in videos by better handling complex textures! Check out the video below or read the paper and see more examples here.
RO-MAN 2021 (IEEE International Conference on Robot and Human Interactive Communication) is coming soon, from 8 to 12 August 2021, and we are taking part in the conference once again, this year as silver sponsors. RO-MAN 2021 (this year taking place virtually) is a key event in the community of Robot & Human technologies, which we at PAL Robotics are committed to contributing to. RO-MAN this year celebrates its 30th anniversary. This annual academic conference was launched in 1992 in Tokyo, Japan and is sponsored by the IEEE Robotics and Automation Society. RO-MAN 2021 is being organised by the University of British Columbia and the University of Waterloo, Canada.
Last week we participated in The IEEE-RAS International Conference on Humanoid Robots (Humanoids) as Gold Sponsors. We took part in the workshops'Towards physical-social human-robot interaction,' and'TALOS: Status & Progress', as invited speakers, as well as offering a Virtual Tour of our legged robots including our latest projects, SOLO12 & Kangaroo. The IEEE-RAS International Conference on Humanoid Robots is the internationally recognized prime event of the humanoid robotics community. Established in 2000 and held annually, the Humanoids Conference is a forum for researchers working in the area of humanoid robots including mechatronics, control, perception, planning, learning, human-robot interaction, biomechanics, artificial intelligence, cognition, and neuroscience. Although this year's event took place virtually, PAL Robotics has previously taken part in Humanoids Conferences around the world, including in Toronto, and Beijing in recent years. At the event, we offered a Virtual Tour of all of our legged robots featuring our Humanoids Team: Sai Kishor, Adrià Roig, and Narcis Miguel.
SAVE $272: As of July 30, you can get the Roborock S6 robot vacuum cleaner and mop on sale on Amazon for just $377.99 (normally $649.99) when you apply the site's extra savings coupon and enter the code ROBOROCKS6 at checkout. Amazon is going to make you work for this one, but it's worth it. Here's the sitch: The excellent Roborock S6, a smart robot vacuum/mop hybrid with multi-floor mapping, has been sitting at $599.99 on Amazon since the middle of June -- that's $50 off its $649.99 Things get way more interesting when you click on its product page and scour the fine print for an extra savings coupon that takes an additional $180 off its sale price, bringing it down to just $419.99: But you won't even pay that.
"Even primitive autonomous technology that exists today is better than an average human driver on the road" Recent moves by big players signal at the potential of India's AV ecosystem. Tata Elxsi has created a full-stack IP called AutonomAI to accelerate programs for AVs, and Intel's decision to gather data on traffic patterns to create algorithms to be used in India and overseas for autonomous driving. Moreover, a large number of AV startups have come up the ladder, especially in the last six years, namely: Swaayatt (2015), AutoNxt (2016), Ati Motors and Flux Auto (2017), Flo Mobility (2019), Minus Zero (2020) etc. Autonomous vehicles (AVs) startups in India, including Swaayatt Robots, Ati Motors, Netradyne, have raised substantial funding recently. Saurabh Chandra, Co-Founder, Ati Motors, said: "There is a confluence of factors due to the pandemic: workforce management has become challenging, prices are rising, making automation more attractive while technology is getting better and cheaper. There is an explosion of demand in the eCommerce space that can't be addressed by simply adding people; technology is the only way to handle the scale." India is a huge market.
For decades, anyone who wanted to know whether a new car was safe to drive could simply put it through its paces, using tests established through trial and error. Such tests might investigate whether the car can take a sharp turn while keeping all four wheels on the road, brake to a stop over a short distance, or survive a collision with a wall while protecting its occupants. But as cars take an ever greater part in driving themselves, such straightforward testing will no longer suffice. We will need to know whether the vehicle has enough intelligence to handle the same kind of driving conditions that humans have always had to manage. To do that, automotive safety-assurance testing has to become less like an obstacle course and more like an IQ test.
Many young urbanites don't want to own a car, and unlike earlier generations, they don't have to rely on mass transit. Instead they treat mobility as a service: When they need to travel significant distances, say, more than 5 miles (8 kilometers), they use their phones to summon an Uber (or a car from a similar ride-sharing company). If they have less than a mile or so to go, they either walk or use various "micromobility" services, such as the increasingly ubiquitous Lime and Bird scooters or, in some cities, bike sharing. The problem is that today's mobility-as-a-service ecosystem often doesn't do a good job covering intermediate distances, say a few miles. Hiring an Uber or Lyft for such short trips proves frustratingly expensive, and riding a scooter or bike more than a mile or so can be taxing to many people.
The first Reddit Robotics Showcase will take place online this weekend (31st July – 1 August). Multitude of projects underway in the r/robotics reddit community will be showcased. There will be nearly 30 presentations from members of the r/robotics community, ranging from hobbyists, professionals, academics, industrial, students, etc. across four different categories: simulation, mobile robots, manipulation, and legged robots. The showcase will be livestreamed via the Reddit Robotics Showcase YouTube channel, and you will be able to pose questions to the participants. For more information and the full programme, please visit the website.
In 1997, McDonald's started offering them Happy Meals. Gazing into the cream-colored bear's glassy, unseeing eyes, you would imagine an entire life for this promotional Beanie Baby whose innards were comprised of polyester fiberfill and small plastic pellets. It had friends, passions, and a soul. THE URGE TO ANTHROPOMORPHIZE non-human -- and often, nonliving -- things is a classic human instinct that extends far beyond childhood make-believe. But when we project ourselves onto the technology we create, David Watson warns Inverse it could be a slippery slope.