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Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences

Machine Learning Research at Apple

To engage the broader human-centered ML community in on-device ML experiences, we present the results from an interview study with 30 experts at Apple that specialize in producing efficient models. We compile tacit knowledge that experts have developed…

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AI and the Problem of Knowledge Collapse

Hacker News

We identify conditions under which AI, by reducing the cost of access to certain modes of knowledge, can paradoxically harm public understanding. While large language models are trained on vast amounts of diverse data, they naturally generate output towards the 'center' of the distribution.

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AI can predict human response to drug compounds

Dataconomy

A CUNY Graduate Center research team has created CODE-AE, an artificial intelligence model that may dramatically improve accuracy and reduce the time and cost of pharmaceutical development. This knowledge gap is.

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Responsible AI for Nonprofits: Shaping future technologies

Data Science Dojo

Responsible AI should prioritize the human-centered approach, ensuring that the technology complements human expertise and decision-making rather than replacing or marginalizing it. Access to funding, technical knowledge, and collaborations with AI experts can help overcome these barriers.

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2021 State of Analytics: Why Users Demand Better

Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. This report examines how knowledge workers use analytics and explores their needs and preferences.

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How AI Is Driving Data Speeds in Data Centers

Dataversity

Unfazed and even spurred by the COVID-19 pandemic, complex AI systems saw explosive demand to enable advances in data management, health care, knowledge graphs, and data science. The post How AI Is Driving Data Speeds in Data Centers appeared first on DATAVERSITY.

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Top 10 Powerful Use Cases of Generative AI Chatbots in Call Centers

Chatbots Life

In the rapidly evolving landscape of customer service, call centers are embracing cutting-edge technologies to elevate their operations and meet the growing expectations of today’s consumers. We explore the transformative impact of Generative AI chatbots in enhancing customer experiences within call center environments.

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