Memory tests are surrogate measures of encoding and retrieval capabilities, but Embic's advanced analytics quantify these latent processes. Now they are available to the global research community through ADNI: https://lnkd.in/dm3vTxqw
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Memory tests are surrogate measures of encoding and retrieval capabilities, but Embic's advanced analytics quantify these latent processes. Now they are available to the global research community through ADNI: https://lnkd.in/gUFBSvrB
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
🔍 Exciting news! We have developed a cutting-edge Information Retrieval and Extraction tool for COVID-19 related papers. Our latest post details the application of Latent Dirichlet Allocation (LDA) to model research aspects and extract relevant entities from the CORD-19 dataset. By automating a topic-based search of CORD-19 papers, our tool aims to assist researchers in finding valuable reference papers and highlighting pertinent information. Check out the full blog post here: https://bit.ly/3vXcJfD [cs.IR] #COVID19 #ResearchTools
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The July issue of ELEVATE magazine is released! 📲 Explore the latest impacts of artificial intelligence, an election season that's in full swing, sales and rentals by non-residents and more! Head over to https://lnkd.in/e7WC4PCY to read the issue.
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Curious to learn more about how I'm modeling both student and grader active time on task? Come check out my talk. This has been the culmination of a lot of user research + big data + software development and I'm excited to introduce the newest feature in Data Insights! #timeontask #acsspring2024 #gradingtime #datainsights
Going to ACS? We have exciting news to unveil. Join Dane DeSutter, Ph.D. to learn why we're measuring grading Time on Task in Labflow and what analytics will be available on demand soon in our platform.
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Have you ever wondered how long your TAs are actually spending grading? Interested in analytics and technology to better manage large courses? Armed with this data, chemistry departments can better gauge TA workload to monitor vs. their goals, have discussions around lab courseware and curriculum design, coach TAs, and provide struggling grad students the help they need.
Going to ACS? We have exciting news to unveil. Join Dane DeSutter, Ph.D. to learn why we're measuring grading Time on Task in Labflow and what analytics will be available on demand soon in our platform.
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Researchers introduce a groundbreaking deep embedded clustering (DEC) framework that goes beyond numerical data limitations. This approach incorporates both numerical and categorical features, tackling real-world data challenges head-on! 💡 Discover the full findings in IEEE Access: https://lnkd.in/eyYV8A8W
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Chief content officer, 20+ year local marketing analyst, event organizer, strategist, digital marketer.
According to the report below that's ~7% of the total 🤖 Curtis Boyd. But it's still a lot, and varies by country. Certainly it heightens the risk of mis/disinformation and manipulation of populations. Questions: --Are these 100% AI content? --What level of accuracy do they possess?
Using NewsCatcher’s data, Max Spero and Bradley Emi from Pangram Labs found that 60,000 AI-generated news articles are published each day. Read more about their findings: https://lnkd.in/eWpk7-CX
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Artificial Intelligence: On recent developments and regulations Our latest episode of Bergos NOW is live! Aurelia Rauch speaks with Guenter Jaeger about Artificial Intelligence – what’s new, what’s changed, and why an upcoming conference might be interesting for investors. https://lnkd.in/e7nsyVn7
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
📢 Exciting news! Check out this new blog post on Conformal Recursive Feature Elimination (CRFE) - a groundbreaking feature selection method that leverages the power of Conformal Prediction (CP) framework. The post introduces CRFE, highlighting its advantages over the classical Recursive Feature Elimination (RFE) method when applied to multiclass datasets. Find out more about CRFE's automatic stopping criterion and its impressive performance in the full article here: https://bit.ly/3wVmOKU #FeatureSelection #ConformalPrediction #DataScience
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Unlock the power of intelligence! 🌐✨ We bring depth to your insights by contextualizing #opensource data hidden in plain sight. Don't miss what's right in front of you. Elevate your intel game today! 🔍🔐 #KnowWhatYouNeedToKnow here: https://lnkd.in/gkwa4agd
