Leading Lab-Grown Meat Company Upside Foods Just Paused a Major Expansion
Upside Foods is putting plans for its Illinois-based cultivated meat factory on hold and laying off staff to focus on its existing plant.
Stable Cascade: One-Click Installer!
Built a user-friendly yet spartan one-click installer for Stable Cascade. Download the Zip file from this GitHub page and follow the installation instructions specified in README: Installation Download: Get the installer by clicking this link: Download ZIP Extract: Unzip the downloaded file to your preferred location. Install: Double-click the `install.bat` file to automatically set up …
Valentine’s Day Ads: The Emotional Evolution
Valentine’s Day ads are centered around showing appreciation for loved ones usually through gifts. According to data from the National Retail Federation (NRF), consumers plan to spend $25.8 billion on Valentine’s Day in 2024. That’s an average of $185.81 per person. Though spending on gifts for significant others is expected to reach a new high …
Inferential Insights: How Confidence Intervals Illuminate the Ames Real Estate Market
In the vast universe of data, it’s not always about what we can see but rather what we can infer. Confidence intervals, a cornerstone of inferential statistics, empower us to make educated guesses about a larger population based on our sample data. Using the Ames Housing dataset, let’s unravel the concept of confidence intervals and …
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DP-Auditorium: A flexible library for auditing differential privacy
Posted by Mónica Ribero Díaz, Research Scientist, Google Research Differential privacy (DP) is a property of randomized mechanisms that limit the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and government applications (e.g., the US census) …
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Resource-constrained Stereo Singing Voice Cancellation
We study the problem of stereo singing voice cancellation, a subtask of music source separation, whose goal is to estimate an instrumental background from a stereo mix. We explore how to achieve performance similar to large state-of-the-art source separation networks starting from a small, efficient model for real-time speech separation. Such a model is useful …
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Memory and new controls for ChatGPT
We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.
Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data
Michael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley 1. Spot the Difference Can you spot any difference between the two data streams below? Each observation is the time interval between a Netflix member hitting the play button and playback commencing, i.e., play-delay. These observations are from a particular type of A/B test …
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Part 1: Continuous Data”
Generative AI use cases for the enterprise
Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI (artificial intelligence) promises a similar …
DP-Auditorium: A flexible library for auditing differential privacy
Posted by Mónica Ribero Díaz, Research Scientist, Google Research Differential privacy (DP) is a property of randomized mechanisms that limit the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and government applications (e.g., the US census) …
Read more “DP-Auditorium: A flexible library for auditing differential privacy”