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Modular nabs $100M for its AI programming language and inference engine - SiliconANGLE

Flipboard

Modular Inc., the creator of a programming language optimized for developing artificial intelligence software, has raised $100 million in fresh funding.General Catalyst led the investment, which w

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C++ feat. Python: Connect, Embed, Install with Ease

Towards AI

However, I encountered an opposite scenario where my Machine Learning application urgently required invoking a custom model with Python-based inference code. The prospect of rewriting it in C++ or adopting a corresponding inference engine was unfeasible. My initial thought was simple: “Calling Python from C++ should be a breeze.”

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Techman Robot Selects NVIDIA Isaac Sim to Optimize Automated Optical Inspection

NVIDIA

The distinctive features of Techman’s robots — compared to other robot brands — lie in their built-in vision system and AI inference engine,” said Scott Huang, chief operations officer at Techman. NVIDIA RTX GPUs power up their AI performance.” But programming the movement of these robots can be time consuming.

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CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Marktechpost

A regular expression inference engine that effectively converts regular expressions to finite automata has been designed and implemented. Numerous token sequences can represent A fixed query string, which motivates a compressed representation, as academics have shown when studying unconditional generation.

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This AI Paper from Google Presents a Set of Optimizations that Collectively Attain Groundbreaking Latency Figures for Executing Large Diffusion Models on Various Devices

Marktechpost

Moreover, the team found that the fusion windows for commonly used layers and units in LDMs need to be substantially larger on a mobile GPU than what is currently available from commercially available GPU-accelerated ML inference engines.

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NLP News Cypher | 07.26.20

Towards AI

GitHub: Tencent/TurboTransformers Make transformers serving fast by adding a turbo to your inference engine!Transformer The sell is that it can support various lengths of input sequences without preprocessing which reduces overhead in computation. ? These 2 repos encompass NLP and Speech modeling.

NLP 79
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7 Powerful Python ML Libraries For Data Science And Machine Learning.

Mlearning.ai

It includes several libraries aimed for data science and machine learning tasks, such as Spark MLlib, which provides support for neural network training and optimization; MLlib Inference Engine; MLlib Transforms; DataFrame Interpolation; GroupByOperator; Databricks Analytics Server; DataStream Operators; etc… 7 .