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January, 2025

How Medical Writing and Regulatory Affairs Professionals Can Embrace and Deploy Generative AI at Scale
Regulatory and medical writing teams are exploring how generative AI can boost efficiency and accuracy in crafting key documents like clinical study reports (CSRs). But unlocking AI’s full potential...
Competition and Accountability: Exploring Leaderboard Effects on Physical Activity
:::info Authors: (1) Muhammad Zia Hydari, Katz Graduate School of Business, University of Pittsburgh and Corresponding author; (2) Idris Adjerid, Pamplin College of Business; (3) AAaron D. Striegel, D...
Boosting Health with Fitbit Leaderboards: Daily Steps and Competitive Motivation
:::info Authors: (1) Muhammad Zia Hydari, Katz Graduate School of Business, University of Pittsburgh and Corresponding a...
Fitbit Leaderboards: Surprising Gains for the Sedentary, Setbacks for the Highly Active
:::info Authors: (1) Muhammad Zia Hydari, Katz Graduate School of Business, University of Pittsburgh and Corresponding author; (2) Idris Adjerid, Pamplin College of Business; (3) AAaron D. Striegel, D...
Hawk and Griffin: Efficient RNN Models Redefining AI Performance
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal con...
RNNs vs. Transformers: Innovations in Scalability and Efficiency
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal con...
Hawk and Griffin: Mastering Long-Context Extrapolation in AI
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and wi...
Griffin Model: Advancing Copying and Retrieval in AI Tasks
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and wi...
Hawk and Griffin Models: Superior Latency and Throughput in AI Inference
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal con...
Recurrent Models: Decoding Faster with Lower Latency and Higher Throughput
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal con...
Newswire > January, 2025

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