Archives mensuelles : août 2023

Single Cell RNA Analysis using Intel® AI Analytics Toolkit: Developer Spotlight

Krittika Kanjilal proposed solution for single-cell RNA analysis using Intel® AI Analytics Toolkit

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Startups pioneer LLM fine-tuning on Intel GPUs

Intel® Liftoff members showcase applications powered by the largest LLMs yet fine-tuned on Intel GPUs running on Intel’s new Developer Cloud.

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MatSci-NLP: Intel Labs and Mila Collaborate on Benchmark to Assess Materials Science Language Models

Intel and Mila collaborate on MatSci-NLP, the first broad benchmark for assessing the capabilities of language models on understanding materials science language and performing useful tasks for materials scientists.

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Intel Labs Selected by DARPA H6 to Develop Tactical-Grade Clock with Microsecond Timing Precision

Intel Labs and collaborators from the University of Pennsylvania, Carnegie Mellon University, and IS4S have been selected by DARPA to perform in the H6 program to develop a GPS-independent tactical-grade clock with microsecond timing precision.

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Revolutionizing Email Generation: SiteMana’s Tailored LLM Built on Intel® Technology

Intel® Liftoff startup SiteMana uses advanced machine learning to engage with anonymous traffic, respecting privacy while identifying high-intent visitors. With a focus on personalization, SiteMana helps clients enhance conversion rates, turning anonymous visitors into loyal customers, in line with Intel … Continuer la lecture

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Intel® AI Analytics Toolkit 2023.2 Now Available

Learn what new optimizations and features have been added to your AI software tools and frameworks.

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Enable Mixed Precision in TensorFlow* 2.13 via Environment Variable

TensorFlow* developers can benefit from Intel® Advanced Matrix Extension (AMX) with TensorFlow 2.12

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Derisking LLMs for Enterprise: Prediction Guard Enters Intel® Liftoff’s Hackathon for AI Startups

Businesses pressured to adopt generative AI due to benefits, but hurdles exist, especially for enterprises. Prediction Guard, Intel® Liftoff member, highlights LLM model issues: unreliable, unstructured output hindering system development. Integrations raise legal, security concerns: output variability, compliance gaps, IP/PII … Continuer la lecture

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Intel Presents Six Papers on Novel AI Research at ICML 2023

Intel had six papers accepted at the 40th International Conference on Machine Learning (ICML) 2023, happening now through July 29. Two papers were selected as spotlight oral papers at the conference: ProtST, which uses a ChatGPT-style design interface for protein … Continuer la lecture

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ProtST: Intel and Mila Collaborate on a New Multi-Modal Protein Language Model

Intel and Mila collaborated on ProtST, a multi-modal protein language model that enables users to create protein sequences and structures based on natural language prompts. The ProtST research paper was presented in a prestigious spotlight talk at this year’s International … Continuer la lecture

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