confused
Confused by Alexa's light rings on your Echo? Here's what the colors mean
One of the most confounding moments after I got my first Amazon Echo Dot was when its light ring began pulsing yellow, signalingโฆ well, what exactly? Indeed, Echo devices such as the standard Echo, the Echo Dot, the Echo Pop, and the Echo Show can display flashing indicator lights in a range of different colors, and they can be pretty confusingโeven aggravatingโif you don't know what they mean, or how to make them stop. Luckily, deciphering the flashing lights on your Echo device is simple, and once you know the code, the lights can warn you when something's amiss with your Echo, let you know when you have incoming messages, alert you when Alexa is listening, and more. Let's start with the light that confused me the most when I got my first Echo (the ever-popular Echo Dot). Generally accompanied by a cheerful "bum, bum!" alert tone, the flashing yellow light lets you know when Alexa has a notification for you, or if you missed a reminder.
Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration
Naoum, Andreas, Khanna, Parag, Yadollahi, Elmira, Bjรถrkman, Mรฅrten, Smith, Christian
Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration Andreas Naoum 1, Parag Khanna 1, Elmira Y adollahi 2, M arten Bj orkman 1, and Christian Smith 1 Abstract -- This work aims to interpret human behavior to anticipate potential user confusion when a robot provides explanations for failure, allowing the robot to adapt its explanations for more natural and efficient collaboration. Using a dataset [1] that included facial emotion detection, eye gaze estimation, and gestures from 55 participants in a user study [2], we analyzed how human behavior changed in response to different types of failures and varying explanation levels. Our goal is to assess whether human collaborators are ready to accept less detailed explanations without inducing confusion. We formulate a data-driven predictor to predict human confusion during robot failure explanations. We also propose and evaluate a mechanism, based on the predictor, to adapt the explanation level according to observed human behavior . The promising results from this evaluation indicate the potential of this research in adapting a robot's explanations for failures to enhance the collaborative experience. I NTRODUCTION Recent advancements in robotics have enabled robots to collaborate with humans in a variety of tasks [3]. However, the uncertain nature of environments in which robots operate often leads to failures [4], [5]. In instances where robots encounter failures, human intervention in certain cases can easily troubleshoot the problem efficiently and effectively [2], [4], [6]. Therefore, a crucial aspect of this collaboration is the robot's ability to communicate when a failure occurs, explain why the failure happened, and, if possible, suggest a course of action for resolution. This communication ability is not only essential for successful collaboration but also for building rapport and trust [7], [8] in robots.
Confused by 'Elden Ring's' story? Let us explain.
"Queen Marika was driven to the brink," says the story trailer, as a consequence of Godwyn's death. This leads to the shattering of the Elden Ring, an act seen and performed by a mysterious person in the game's announcement trailer from 2019. The rest of the story from the game's intro cinematic is pretty straightforward. After the shattering, Marika disappeared from The Lands Between, and her demigod children were left to fend for themselves. They chose to go to war for the remaining, shattered pieces of the Elden Ring, fighting for power.
Confusion Matrix without Confused
As we know, the output for classification problem is consists from two target variables, either 0 or 1; Yes or No; Positive or Negative; etc. and our model is trying to classify whether a specific data is 0 or 1; Yes or No; etc. The columns are representing the True Class, which means true or real label for the specific data. The rows are representing the Predicted Class, which means the prediction results derived from our model for the specific use case. True Positive (TP) TP is simply the count of data where the Predicted value is Positive and True value is Positive too. True Negative (TN) TN is simply the count of data where the Predicted value is Negative and True value is Negative too.
'Confused' Waymo self-driving cars are flooding a dead-end street in San Francisco
Residents of what is typically a quiet neighborhood in San Francisco are being plagued with humming from several Waymo vehicles crowding a dead-end street. The mysterious sightings are coming from the end of 15th Avenue, where up to 50 of the self-driving cars appear to be confused as they enter the area, residents told local news station KPIX. Resident Jennifer King told KPIX that the vehicles, which are being tested in the California city, all make a multi-point turn and then just leaving from where they came in โ and sometimes multiple cars arrive at once. 'I noticed it while I was sleeping,' Jennifer King, a resident in Richmond District told KPIX. 'I awoke to a strange hum and I thought there was a spacecraft outside my bedroom window.'
Confused about which console to buy? Just wait.
After months of speculation, we now have a clear picture of how the next generation of consoles is shaping up. Four consoles at three price points, each offering a slightly different take on the future of gaming. At just $300, the Xbox Series S is clearly the value proposition. You won't get true 4K gaming, and its 512GB of storage could prove an issue, but that's the price you pay for.. paying less. At $400, the PlayStation 5 Digital Edition offers everything the regular PlayStation 5 does, except the disc drive.
Hey, Sparky: Confused by data science governance and security in the cloud? Databricks promises to ease machine learning pipelines
Databricks, the company behind analytics tool Apache Spark, is introducing new features to ease the management of security, governance and administration of its machine learning platform. Security and data access rights have been fragmented between on-premises data, cloud instances and data platforms, Databricks told us. And the new approach allows tech teams to manage policies from a single environment and have them replicated in the cloud, it added. "Cloud companies have inherent native security controls, but it can be a very confusing journey for these customers moving from an on-premise[s] world where they have their own governance in place, controlling who has access to what, and then they move this up to the cloud and suddenly all the rules are different." The idea behind the new features is to allow users to employ the controls they are familiar with, for example, Active Directory to control data policies in Databricks.
How to Integrate IBM Watson Assistant with Salesforce's Einstein Bot to enhance your conversational solution
There are many reasons why you would want to leverage Watson Assistant to make your Einstein Bot "better". In a previous blog, I spoke to just some of the key reasons why you would need to do so. I will provide additional detail here but first, let's look at how you integrate Watson into your Einstein Bot. The obvious table stakes, you need a Watson Assistant service to integrate with Bots. If you don't already have one, you can get a free IBM Cloud account to deploy a Watson Assistant service, which you can do in about a minute, also for free.
Confused by Congress' bills? Maybe AI can help
As lawmakers grapple with how to shape legislation dealing with artificial intelligence, the clerk of the House is developing an AI tool to automate the process of analyzing differences between bills, amendments and current laws. That's according to Robert F. Reeves, the deputy clerk of the House, who on Friday told the Select Committee on the Modernization of Congress that his office is working on an "artificial intelligence engine" that may be ready as soon as next year. The idea, Reeves said, is to offer members and staff a tool that would accurately compare legislative text. He said it's already available to Office of Legislative Counsel staffers, who then must check the accuracy with human intelligence. It's about 90 percent there, he told the panel.
Confused about climate change? Talk to our chat bot
BBC News has launched a chat bot to help users learn about climate change in weekly conversations on Facebook Messenger. Subscribers will get an alert every Wednesday inviting them to explore topics from rising temperatures to new ways of tackling global warming. They can also ask questions which the bot will pass on for our human journalists to answer. You can sign up at the bottom of this page. We know that audiences are hungry for a better understanding of where the world stands on targets to control rising temperatures.