Smart Vehicles and Smart Cities, underpinned by IoT,  are making tremendous impacts on our lives and societies – but it doesn’t happen on its own.  These are complex systems demanding not just research and innovation in a wide range of technologies but also academic and industry collaboration - and our guest is in the thick of it.  We discuss the key challenges at the forefront of research, including the role of machine learning and AI,  data acquisition and real-time modeling, and the privacy and security risks.  And we get insights into the research conducted at the University of Ottawa’s Smart Connected Vehicle Innovation Center within the Kanata North Technology Park.   Guest Our guest is Burak Kantarci, director at the University of Ottawa’s Smart Connected Vehicles Innovation Center and the Next Generation Communications and Computing Networks Lab.  Burak is an associate professor at the School of Electrical Engineering and Computer Science, with over 200 peer-reviewed papers in established journals and proceedings like  IEEE, ACM, Elsevier, and Springer.  He is an associate editor of several peer-reviewed scientific journals, including IEEE Internet of Things Journal.  His expertise and enthusiasm for the topic are evident in his conference presentations and webinars and acknowledged by recognition awards from IEEE, ACM, Communications Society, and recently Ontario Ministry of Colleges and Universities.   Links Burak on Online:  LinkedIn: Twitter:   uOttawa Smart Connected Vehicle Innovation Center: Web: Web:   University of Ottawa Engineering online: Web: Twitter:   University Of Ottawa Kanata North Campus: Web: Twitter:   Visit IoT North Website: LinkedIn Group: Twitter:

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Data is important to us! In order to make CoachHub even more data-driven we are looking for a Machine Learning & Data Science Team Lead to join our Data and Insights team. In this role, you will be responsible for leading a team of Machine Learning engineers and Data Scientists for building new machine learning products and improving the current ones. Also, the team is responsible for making statistical analyses for improving the user experience. About CoachHub CoachHub is the leading global talent development platform that enables organizations to create a personalized, measurable and scalable coaching program for the entire workforce, regardless of department and seniority level.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

The figure shows the pipeline of layout analysis table recognition. The image is first divided into four areas of image, text, title and table by layout analysis, and then OCR detection and recognition is performed on the three areas of image, text and title, and the table is performed table recognition, where the image will also be stored for use. Different colored boxes in the figure represent different categories. The corresponding category and OCR recognition results are also marked at the top left of the OCR detection box. In the figure, the red box represents the question, the blue box represents the answer, and the question and answer are connected by green lines.

So your data already has the right classification associated with it. Common use of supervised learning -- to predict values for new data. With supervised learning you have to rebuild models each time you get new labeled data, to make sure that the predictions are accurate. Having a dataset dedicated to it you can teach your model to predict what fruit it sees on a picture. Unsupervised learning -- is when you train a model with unlabeled data.

Turo is the world's largest car sharing marketplace where you can book any car you want, wherever you want it, from a vibrant community of trusted hosts across the US, Canada, and the UK. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, guests can take the wheel of the perfect car for any occasion, while hosts can take the wheel of their futures by building an accessible, flexible, and scalable car sharing business from the ground up. Data is our fuel at Turo. It is ever-more abundant and valuable, but it's raw material. Harnessed by data analysts, data scientists, and machine learning engineers, it propels Turo on its mission to put the world's 1.5 billion cars to better use, delighting our customers with matching the right car for their next adventure from an exceptionally diverse selection, and at the same time helping our marketplace remain safe.

Embracer, the mega game publisher that's been snapping up new properties left and right, has made a deal to acquire the intellectual property catalogue and worldwide rights to various JRR Tolkien-related media and merch. To be precise, it will own the rights to "motion pictures, video games, board games, merchandising, theme parks and stage productions" based on the The Lord of the Rings trilogy and The Hobbit if the deal pushes through. It will also own the rights tied to any future literary work related to LOTR and The Hobbit that's authorized by the Tolkien Estate. This isn't the first Tolkien-related purchase Embracer has made: Back in 2021, it bought the board game publisher Asmodee, which has published over a dozen LOTR board games over the past 20 years. And if the acquisition goes through, Embracer will work with Amazon on The Lord of the Rings: Rings of Power series that will start streaming on September 2nd.

Role requiring'No experience data provided' months of experience in None My name is Avdhesh Kumar and I am a Staffing Specialist at Intellectt Inc. I am reaching out to you on an exciting job opportunity with one of our clients.

On July the 13th the company that developed the generative AI art tool Midjourney opened its closed beta. To access it, you just need to enter the discord channel. Playing with this model immediately gives the feeling of something very powerful with a wide comprehension of text prompts. It works especially well with environments and characters, and from what I have seen, by default it has a bias towards artistic paintings. For example, with the prompt "enchanted jungle" you get: To thoroughly understand its power, I decided to test it by mixing in various ways two things that never existed at the same time: Pokémon and pre-1990 art movements.