Right-to-Repair Advocates Question John Deere’s New Promises
The tractor maker is accused of blocking farmers from fixing their own equipment. A new agreement offers concessions—but campaigners say it’s not enough.
The tractor maker is accused of blocking farmers from fixing their own equipment. A new agreement offers concessions—but campaigners say it’s not enough.
More than 120 models of Siemens’ S7-1500 PLCs contain a serious vulnerability—and no fix is on the way.
NASA’s new JWST space telescope has revealed some cosmic surprises, including galaxies that might have assembled earlier than previously thought.
It can deliver fast Wi-Fi to the largest of homes, but this mesh system has some odd limitations.
Whether you’re biking to the office or schlepping a camera to a shoot, a laptop bag is your constant companion. These WIRED-reviewed packs do the job.
Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000.
Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Carnegie Mellon University researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000.
If you’ve had the opportunity to build a search application for unstructured data (i.e., wiki, informational web sites, self-service help pages, internal documentation, etc.) using open source or commercial-off-the-shelf search engines, then you’re probably familiar with the inherent accuracy challenges involved in getting relevant search results. The intended meaning of both query and document can …
Machine learning (ML) applications are complex to deploy and often require the ability to hyper-scale, and have ultra-low latency requirements and stringent cost budgets. Use cases such as fraud detection, product recommendations, and traffic prediction are examples where milliseconds matter and are critical for business success. Strict service level agreements (SLAs) need to be met, …
Documents like payslips and W2s are crucial to processes such as employment and income verification for mortgage loans, personal loans, personal finance, and benefits processing. Unfortunately, efficiently extracting data from these documents at scale can be challenging and time-consuming, with many organizations relying on manual examination of documents or automated approaches that don’t adequately capture …
Read more “Processing W2 & Payslips is now even simpler with Document AI”