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  2. Tata Research Development and Design Centre - Wikipedia

    en.wikipedia.org/wiki/Tata_Research_Development...

    Website. www.tcs-trddc.com. Tata Research Development and Design Centre (TRDDC) is a software research centre in Pune, India, established by Tata Group 's TCS in 1981. TRDDC undertakes research in Machine Learning, Software Engineering, Process Engineering and Systems Research. TRDDC developed TCS Code Generator Framework (formerly called ...

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Embedded Machine Learning is a sub-field of machine learning, where the machine learning model is run on embedded systems with limited computing resources such as wearable computers, edge devices and microcontrollers.

  4. Codegen raises new cash to automate software engineering ...

    techcrunch.com/2023/11/16/codegen-raises-new...

    The tranche brings Codegen’s total raised to $16.2 million and values the startup at $60 million post-money, Hack claims. Thrive’s Philip Clark had this to say via email: “In 2023, most ...

  5. MLOps - Wikipedia

    en.wikipedia.org/wiki/MLOps

    MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field.

  6. DeepCode cleans your code with the power of AI | TechCrunch

    techcrunch.com/2018/04/26/deepcode-cleans-your...

    Zurich-based DeepCode claims that their system — essentially a tool for analyzing and improving code — is like Grammarly for programmers. The system, which uses a corpus of 250,000 rules ...

  7. 6 technologists discuss how no-code tools are changing ...

    techcrunch.com/2022/03/10/6-technologists...

    Low-code platforms will change the day-to-day work of a traditional software developer by incorporating automation and standardization to lower friction, errors and technical debt while improving ...

  8. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  9. Microchip implant (human) - Wikipedia

    en.wikipedia.org/wiki/Microchip_implant_(human)

    A human microchip implant is any electronic device implanted subcutaneously (subdermally) usually via an injection. Examples include an identifying integrated circuit RFID device encased in silicate glass which is implanted in the body of a human being. This type of subdermal implant usually contains a unique ID number that can be linked to ...