Personal Assistant Systems
Zoom now works on Amazon's Echo Show 10
You now have another way to hop into Zoom calls with friends, family and co-workers. Amazon is bringing the video chat service to its Echo Show 10 smart displays in the US, according to SlashGear. Echo Show 8 already has Zoom support. Hooking up your calendar to Alexa or your Zoom account will make it easy to use the app on an Echo Show, as long as you have a meeting ID and passcode on a calendar entry. Otherwise, you can tell Alexa to join a call and you'll be asked for the meeting ID and passcode.
AI and a great impact on mobile technology - Zesium
We've all heard about Artificial Intelligence (AI) but only few of us know exactly what it means and how does it impact our everyday life. When thinking about AI, many Baby Boomers and X Gens think of the old sci-fi films and scenes where machines come alive and take over the world. But that's just a funny representation how humans used to perceive the unknown. If you remember the old TV show'Beyond 2000', you may recall that their ideas and inventions were outstanding at the time, which only shows the potential of the technology. What is in fact AI and what are the examples we can see on mobile?
Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning
Since coronavirus has shown up, inaccessibility of legitimate clinical resources is at its peak, like the shortage of specialists, healthcare workers, lack of proper equipment and medicines. The entire medical fraternity is in distress, which results in numerous individuals demise. Due to unavailability, people started taking medication independently without appropriate consultation, making the health condition worse than usual. As of late, machine learning has been valuable in numerous applications, and there is an increase in innovative work for automation. This paper intends to present a drug recommender system that can drastically reduce specialists heap. In this research, we build a medicine recommendation system that uses patient reviews to predict the sentiment using various vectorization processes like Bow, TFIDF, Word2Vec, and Manual Feature Analysis, which can help recommend the top drug for a given disease by different classification algorithms. The predicted sentiments were evaluated by precision, recall, f1score, accuracy, and AUC score. The results show that classifier LinearSVC using TFIDF vectorization outperforms all other models with 93% accuracy.
FixMyPose: Pose Correctional Captioning and Retrieval
Kim, Hyounghun, Zala, Abhay, Burri, Graham, Bansal, Mohit
Interest in physical therapy and individual exercises such as yoga/dance has increased alongside the well-being trend. However, such exercises are hard to follow without expert guidance (which is impossible to scale for personalized feedback to every trainee remotely). Thus, automated pose correction systems are required more than ever, and we introduce a new captioning dataset named FixMyPose to address this need. We collect descriptions of correcting a "current" pose to look like a "target" pose (in both English and Hindi). The collected descriptions have interesting linguistic properties such as egocentric relations to environment objects, analogous references, etc., requiring an understanding of spatial relations and commonsense knowledge about postures. Further, to avoid ML biases, we maintain a balance across characters with diverse demographics, who perform a variety of movements in several interior environments (e.g., homes, offices). From our dataset, we introduce the pose-correctional-captioning task and its reverse target-pose-retrieval task. During the correctional-captioning task, models must generate descriptions of how to move from the current to target pose image, whereas in the retrieval task, models should select the correct target pose given the initial pose and correctional description. We present strong cross-attention baseline models (uni/multimodal, RL, multilingual) and also show that our baselines are competitive with other models when evaluated on other image-difference datasets. We also propose new task-specific metrics (object-match, body-part-match, direction-match) and conduct human evaluation for more reliable evaluation, and we demonstrate a large human-model performance gap suggesting room for promising future work. To verify the sim-to-real transfer of our FixMyPose dataset, we collect a set of real images and show promising performance on these images.
Hitting the Books: The bias behind AI assistants' failure to understand accents
The age of being able to speak to our computers just as we do with other humans is finally upon us but voice-activated assistants like Siri, Alexa, and Google Home haven't proven quite as revolutionary -- or inclusive -- as we'd hoped they'd be. While these systems make a commendable effort to accurately interpret commands regardless of whether you picked up your accent in Houston or Hamburg, for users with heavier or less common accents such as Caribbean or Cockney, requests to their digital assistants are roundly ignored. In her essay "Siri Disciplines" for Your Computer Is on Fire from the MIT Press, Towson University professor Dr. Halcyon M. Lawrence, examens some of the more glaring shortcomings of this nascent technology, how those preventable failures have effectively excluded a sizeable number of potential users and the western biases underpinning the issue. Used with permission of the publisher, MIT Press. Voice technologies are routinely described as revolutionary.
Council Post: AI In B2B E-Commerce: The Challenges And Alternatives
Prior, he was the CTO and Co-Founder of Magento. Interest in artificial intelligence (AI) is growing, and the technology is rapidly improving. According to Statista, the fast-growing global AI software market is expected to reach $126 billion by 2025. AI is fueling search engines, virtual assistants and e-commerce product recommendations. For B2B e-commerce businesses, AI can be a tool for greater personalization, improved decision-making ability and gaining a competitive advantage.
This week's best deals: $50 off Apple's MacBook Air M1 and more
While this week was peppered with limited-time sales, there remain a number of discounted gadgets available today. Apple's MacBook Pro M1 returned to its all-time-low price of $950 and the new, swiveling Echo Show 10 received its first discount since debuting in February. Amazon knocked down the prices of its Fire tablets, too, including the Fire HD 10, which is still $55 off. Here are the best tech deals from this week that you can still get today. This is the base model with the new M1 processor, 8GB of RAM and 256GB of storage.
Artificial Intelligence in Business and Education: Projects in 2020 - 2021
With the recent changes in business methods and environment, using the latest innovative technologies is highly favorable. Artificial intelligence is already an important instrument in business and education. You may not pay attention to reality, but AI is already an essential part of your life. More and more businesses tend to go through the digital transformation bringing up projects based on artificial intelligence. Modern clients want to bring artificial intelligence into business management.
The Morning After: Now there's a 'Hey Google' car
Siri is shedding its default female voice. With the latest iOS 14.5 beta, Apple is introducing two new English-speaking voices for Siri alongside the ability to choose which voice to use when setting up an iOS or HomePod device. The new voices should also sound more natural, with improved inflection and smoother transitions between different words. Apple's move away from female voices as default could help to address gender bias implied by most voice assistants. A 2019 UN report said that it "reflects and reinforces" the idea that assistants are female and they "not only replicate gender inequalities, but also widen them."
Apple stop using 'female' or 'male' voice by default and allow users to choose how voice assistant speaks
Apple will stop Siri defaulting to a "male" or "female" voice, and instead give users the choice of how their voice assistant sounds.Until now, iPhones and other devices with Siri have defaulted to a certain voice. That varies depending on countries – in the US it is a higher-pitched, "female" voice, while in the UK it is a lower, "male" one – and people have been given the option to change it through the settings, but the choice has always been made on behalf of users. With a new update, users will be prompted to pick between the various different pitches and accents, and the new update includes new options to choose from. Apple said the decision had been made with a view to more diversity and being more inclusive, presumably to reflect criticism that defaulting to a "female" voice carried with it problematic assumptions about gender. "We're excited to introduce two new Siri voices for English speakers and the option for Siri users to select the voice they want when they set up their device," the company said in a statement.