PySyft decouples private data from model training, using federated learning, differential privacy, multi-party computation (MPC) within the main deep learning framework like PyTorch, Keras and TensorFlow.
Initially, JetBrains had named the programming language ‘Jet.’
Switch Transformer models were pretrained utilising 32 TPUs on the Colossal Clean Crawled Corpus, a 750 GB dataset composed of text snippets from Wikipedia, Reddit and others
We touch upon popular hacks to win data science hackathons.
Snowflake offers data-warehouse-as-a service or cloud-based data storage and analytics services.
CUDA is available on all NVIDIA GPUs as its proprietary GPU computing platform.
Copilot works with various frameworks and languages like JavaScript, Python, TypeScript, Go, Ruby, etc.
NVIDIA has submitted its training results for all eight benchmarks.
Triton delivers substantial ease-of-use benefits over coding in CUDA.
A data science candidate should have a solid background in statistics, optimisation, mathematics and coding.
The slow progress arises from approaches that require too much hand-engineering, an over-reliance on road testing, and high fleet deployment costs
Mistranslation constitutes a critical but under-explored category with serious implications.
Search and recommendation systems have been the most popular applications of LTR models.
We make the dataset available through an interactive time series viewer and as downloadable time series and daily distribution.
In the US alone, 2.8 million people incur traumatic brain injury a year. Such injuries may result in hearing loss and vestibular and central auditory problems.
The dataset for the challenge will be released on August 5, 2021.
Rapido’s most significant value add has been bringing science-led differentiation to its product and operations.
The starter kit is part of the IBM Cloud-Native Toolkit
Last year, PyXLL released its PyXLL-Jupyter plugin. The new extension combines the ease of use of Excel with the interactivity of Jupyter.
The latest tool provides a sandbox for writers to probe the boundaries of transformer-based language models
For this year’s conference, held online from July 18-24, the number of accepted papers stood at 1184.
The latest version of TensorRT brings BERT-Large inference latency down to 1.2 milliseconds.
According to the Algorithmia report, nearly 22 percent of companies have had ML models in production for one to two years.
Few-shot NAS enables users to quickly design a powerful customised model for their tasks using just a few GPUs.
In ICML 2020, Google topped the charts of total research papers submitted, followed by DeepMind, Microsoft, Facebook, and Spotify.
When we created robotics, we thought that we could go pretty far.
OpenAI Safety Gym has use cases across the reinforcement learning ecosystem
At the NeurIPS conference in 2019, PyTorch appeared in 166 papers, whereas TensorFlow appeared in 74 papers.
Last month, Google unveiled a first-of-its-kind, general-purpose transpiler for fully homomorphic encryption (FHE). The new update allows developers to compute encrypted data without having to
Close to 16.6 percent of companies that use Power BI belongs to professional service, followed by manufacturing, banking and financial services and healthcare
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