Antihelium Offers Hope in the Search for Dark Matter
An experiment at the Large Hadron Collider suggests there’s a chance of catching this elusive evidence as it floats through our galactic neighborhood.
A memristor crossbar-based learning system for scalable and energy-efficient AI
Deep-learning models have proven to be highly valuable tools for making predictions and solving real-world tasks that involve the analysis of data. Despite their advantages, before they are deployed in real software and devices such as cell phones, these models require extensive training in physical data centers, which can be both time and energy consuming.
Biomanufacturing of Tomorrow Requires a Connected Company Today
Next-generation cell-based therapy and gene editing therapeutics are set to revolutionize medicine. However, to harness the scientific potential of these drugs, biomanufacturing organizations must develop new systems to handle the increased complexity of process development, manufacturing operations, and quality assurance associated with these new therapeutics. In this blog post, we discuss the shortcomings of legacy …
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RT-1: Robotics Transformer for Real-World Control at Scale
Posted Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google Major recent advances in multiple subfields of machine learning (ML) research, such as computer vision and natural language processing, have been enabled by a shared common approach that leverages large, diverse datasets and expressive models that can absorb all of the data effectively. Although …
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Introducing Amazon SageMaker Data Wrangler’s new embedded visualizations
Manually inspecting data quality and cleaning data is a painful and time-consuming process that can take a huge chunk of a data scientist’s time on a project. According to a 2020 survey of data scientists conducted by Anaconda, data scientists spend approximately 66% of their time on data preparation and analysis tasks, including loading (19%), cleaning (26%), …
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Start your successful journey with time series forecasting with Amazon Forecast
Organizations of all sizes are striving to grow their business, improve efficiency, and serve their customers better than ever before. Even though the future is uncertain, a data-driven, science-based approach can help anticipate what lies ahead to successfully navigate through a sea of choices. Every industry uses time series forecasting to address a variety of …
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Chronomics detects COVID-19 test results with Amazon Rekognition Custom Labels
Chronomics is a tech-bio company that uses biomarkers—quantifiable information taken from the analysis of molecules—alongside technology to democratize the use of science and data to improve the lives of people. Their goal is to analyze biological samples and give actionable information to help you make decisions—about anything where knowing more about the unseen is important. …
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How a steel distributor reinvents its data science & ML workflows with Vertex AI
Nowadays, many companies have to ask themselves: Do we want to wait until a startup disrupts our business model or will we just do it on our own? Klöckner, a German steel and metal distributor, chose the second option, leveraging the power of Google Cloud to bring a more customer-focused, agile approach to an industry …
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2023 Predictions: AI That Bends Reality, Unwinds the Golden Screw and Self-Replicates
After three years of uncertainty caused by the pandemic and its post-lockdown hangover, enterprises in 2023 — even with recession looming and uncertainty abounding — face the same imperatives as before: lead, innovate and problem solve. AI is becoming the common thread in accomplishing these goals. On average, 54% of enterprise AI projects made it …
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Ferrari of Finance: Accelerated Computing Drives Milan Bank Forward
Banks require more than cash in the vault these days, they also need accelerated computing in the back room. “The boost we’re getting with GPUs not only significantly improved our performance at the same cost, it helped us redefine our business and sharpen our focus on customers,” said Marco Airoldi, who’s been head of financial …
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