Using AI to predict the Oscars (and maybe even save humanity)
AI researchers must push harder to keep humans in the loop to amplify our wisdom and insights (and predict the Oscars)?Read More
New research explains why a bad first impression cost Google $100 billion—or more
Google’s launch of Bard, it’s search-integrated, AI-powered chatbot, went wrong when the bot’s first advertisement accidentally showed it was unable to find and present accurate information to users.
Sooo This Just Happened…
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Strategies For Improving Your Abandoned Cart Recovery Rate
For online retailers, cart abandonment equals lost revenue. With the average online cart abandonment rate at almost 70%, these missed opportunities add up quickly. But, enterprises can improve abandoned cart recovery rates by revamping the processes and messages customers encounter during the online customer journey. A few subtle design or language changes to your website or …
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A Unifying Theory of Distance from Calibration
We study the fundamental question of how to define and measure the distance from calibration for probabilistic predictors. While the notion of perfect calibration is well-understood, there is no consensus on how to quantify the distance from perfect calibration. Numerous calibration measures have been proposed in the literature, but it is unclear how they compare …
Elasticsearch Indexing Strategy in Asset Management Platform (AMP)
By Burak Bacioglu, Meenakshi Jindal Asset Management at Netflix At Netflix, all of our digital media assets (images, videos, text, etc.) are stored in secure storage layers. We built an asset management platform (AMP), codenamed Amsterdam, in order to easily organize and manage the metadata, schema, relations and permissions of these assets. It is also responsible …
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PaLM-E: An embodied multimodal language model
Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions. Such innovations have been possible due …
Accelerate time to insight with Amazon SageMaker Data Wrangler and the power of Apache Hive
Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. Data Wrangler enables you to access data from a wide variety of popular sources (Amazon S3, Amazon Athena, Amazon Redshift, Amazon EMR and Snowflake) and over 40 other third-party sources. …
Using ML to predict the weather and climate risk
Introduction All beings on this planet are affected by atmospheric phenomena we call the weather. Because of this, humans have invented all sorts of measuring tools, and luckily have loads of data from observations. All this data has been on quite a technological journey; from being collected on paper and local servers in basements, to now …
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Responding to the climate crisis requires untapped innovation
Climate tech companies need R&D outcomes now. How innovators and entrepreneurs can turn to AI and ML to hasten and improve results.Read More