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Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video Control
«`html Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video Control Target Audience Analysis The target audience for this content includes AI enthusiasts, business executives in the media and entertainment sector, and technology professionals engaged in video production and generative AI. Their pain points typically involve the complexities of video manipulation, limitations in existing generative models,… →
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OpenThoughts: A Scalable Supervised Fine-Tuning SFT Data Curation Pipeline for Reasoning Models
«`html OpenThoughts: A Scalable Supervised Fine-Tuning (SFT) Data Curation Pipeline for Reasoning Models Understanding the Target Audience The target audience for OpenThoughts includes researchers, data scientists, and AI practitioners focused on improving reasoning models. Their pain points often revolve around the challenges of accessing comprehensive methodologies for building reasoning models, the high costs associated with… →
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Podcast: How to Stay Resilient in the Face of a Major Setback
In the face of adversity, Craig Wortmann had long subscribed to the maxim that “time heals all wounds.” Cancer changed that. “The hardest part was the mental anguish of being a very different person. A different physical person,” said Wortmann, a professor of marketing at Kellogg. “Your identity has changed.” Wortmann experienced what some call… →
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Disease-Modifying, Neuroprotective Effect of N-Acetyl-l-Leucine in Adult and Pediatric Patients With Niemann-Pick Disease Type C
BACKGROUND AND OBJECTIVES: N-acetyl-l-leucine (NALL) has been established to improve the neurologic manifestations of Niemann-Pick disease type C (NPC) after 12 weeks in a placebo-controlled trial. In the open-label extension phase (EP) follow-up, data were obtained after 12 and 18 months to evaluate the long-term effects of NALL for NPC. →
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The effects of multimodal cocktail analgesic local injection in postoperative pain control after laminoplasty: A study protocol of a prospective randomized controlled trial
BACKGROUND: Laminoplasty is the most widely used surgical technique for cervical spondylotic myelopathy. This surgery can cause severe postoperative pain; if not controlled, recovery or rehabilitation may be delayed. Therefore, effective control of postoperative pain is crucial. This randomized prospective study aims to evaluate the effects of a multimodal cocktail injection on postoperative pain and… →
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The State of Venture in 2025
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. In… →
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Efficacy and Safety of Hormone Replacement Combined With Escitalopram in the Treatment of Chronic Insomnia in Perimenopausal Women: A Randomized Controlled Trial
CONCLUSION: Femoston plus escitalopram improves chronic insomnia in perimenopausal women. Serum levels of 5-HT, E2, FSH, and LH may objectively indicate the clinical severity of chronic insomnia in this population. →
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Efficacy of Power Training on Sarcopenic Obesity in Community-Dwelling Older Women: A 32-Week Randomized Clinical Trial
Background/Objectives: Exercise is a key nonpharmacological strategy for the management of sarcopenic obesity (SO), characterized by low muscle mass and excess fat. However, long-term interventions and specific modalities, such as power training (PT), remain unexplored in this population. Methods: In this 32-week randomized controlled trial, 40 community-dwelling women (mean age: 77.0 ± 6.8 years) with… →
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Build a Secure AI Code Execution Workflow Using Daytona SDK
Build a Secure AI Code Execution Workflow Using Daytona SDK Build a Secure AI Code Execution Workflow Using Daytona SDK Understanding the Target Audience The target audience for the Daytona SDK tutorial includes software developers, data scientists, and machine learning engineers who are interested in securely executing AI-generated code. Their primary goals are to: Ensure… →
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Apple Researchers Reveal Structural Failures in Large Reasoning Models Using Puzzle-Based Evaluation
«`html Apple Researchers Reveal Structural Failures in Large Reasoning Models Using Puzzle-Based Evaluation Artificial intelligence has evolved from basic language models to advanced systems known as Large Reasoning Models (LRMs). These tools aim to simulate human-like thinking by generating intermediate reasoning steps before arriving at conclusions. This transition has raised critical questions about how these… →