The Basware Assistant uses natural language processing and artificial intelligence to create a new and simplified way for people to interact with Basware's e-procurement solution. They can communicate with the Basware Assistant like they would with a person, to search for orders and purchase requests using vendor and item names, as well as ID and document numbers. By giving people the ability to specify what they are looking, it eliminates the need for having to navigate a series of screens to reach their intended purchase. Through its natural language processing and AI capabilities, the virtual assistant improves system usability, taking another step in streamlining the overall procurement experience. Not only does it help people find purchase orders and order requests more quickly and save them time, it also reduces the training required for new people to buy with Basware.
While the chief data science officer role is common at technology firms, it's not standard at accounting and consulting firms. "I'm excited for this opportunity and the commitment from Crowe to push forward into this area," said Bass, who joined Crowe in 2015 as the firm's only data scientist. "With a team of world-class data scientists, we've already set the groundwork and incorporated machine learning into a few solutions in a very short amount of time." Bass has extensive experience applying advanced analytic, automation and machine learning techniques to a variety of industries. He is a continual learner, as shown through five combined degrees in aerospace engineering, statistics and finance from the University of Michigan, Purdue University and the Pennsylvania State University.
Yes, but it also groups different words that have the same base form. So biographies and texts about animals might be wrongly grouped together, introducing noise in the corpus. I suspect, depending on the language, that this can happen a lot (or not) and greatly influence the process. I know it helps in Finnish and French and doesn't help in Swedish (with the texts I've used; I have compared LDA output on lemmatised and non-lemmatised versions of the same corpus), I was wondering if you had experience with other languages?
The inputs were 96x96 images, and the target outputs were 30-value vectors indicating x,y pairs for 15 facial keypoints. We had to design a CNN from scratch to perform the task. My architecture was three convolutional layers, each followed by a max pooling layer with dropout, then a two-layer dense regression network at the end. Training was done on an EC2 p2xlarge GPU instance, and took around 10 minutes to perform 250 epochs (though there was a lot of trial and error so all told I spent a few hours on training different architectures). The dataset came from this Kaggle competition!
My initial uncharitable take was: College profs need to understand product development is harder than they think. A number of points here indicate a lack of progress on general AI by pointing to product decisions that would be present no matter the implementation. He seems to then use this as a rallying call to encourage going back to knowledge engineering circa late 80's early 90's? I'm going to guess i'm missing something. Yes general ai is far away.
For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.
It's a lot more involved, but the Easy21 assignment from David Silver's RL course is a very thorough intro to RL - it does require going through requisite material in the course though. This is in opposition to putting a cross-entropy loss on a CNN and training it on MNIST - courses/practicals will vary on how practically they deal with this task vs. how much they go into the underlying theory.
Toyota has been working on humanoid robots for a while. It recently unveiled the THR-3 that's built to test specific joints and movements by putting together a full body that can be controlled by a human operator. The robot can mimic a variety of human movements in real time. NBC News is a leading source of global news and information. Here you will find clips from NBC Nightly News, Meet The Press, and original digital videos.