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DeepCode: An Open Agentic Coding Platform that Transforms Research Papers and Technical Documents into Production-Ready Code
DeepCode: An Open Agentic Coding Platform that Transforms Research Papers and Technical Documents into Production-Ready Code Understanding the Target Audience The target audience for DeepCode includes researchers, software engineers, and academic professionals who seek to streamline the process of translating complex research into functional software. Their pain points include: Time-consuming manual coding processes from research… →
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Meet South Korea’s LLM Powerhouses: HyperClova, AX, Solar Pro, and More
«`html Meet South Korea’s LLM Powerhouses: HyperClova, AX, Solar Pro, and More South Korea is rapidly establishing itself as a key innovator in large language models (LLMs), driven by strategic government investments, corporate research, and open-source collaborations to create models tailored for Korean language processing and domestic applications. This focus helps mitigate dependencies on foreign… →
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Why Mindful Leaders Are Better at Managing Change
Tommaso D’Incalci/Ikon Images Executing strategic change is critical to a company’s performance — whether it’s making an agile pivot to grasp an emerging opportunity or positioning the business for long-term resilience — but it’s a process many leaders struggle to pull off successfully. Such initiatives typically trickle down to staff members, often causing upheaval and… →
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To Align Purpose and Profit, Company Culture Matters
Let’s be frank: the core purpose of a company is profit. But many firms also want to make an impact, whether it’s helping their customers solve a problem, filling a gap in a market, or promoting broader social change. In more-ambitious cases, these dueling motivations can create a seeming paradox: Is it possible to build… →
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Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment Liquid AI has officially released LFM2-VL, a new family of vision-language foundation models optimized for low-latency, on-device deployment. With two efficient variants—LFM2-VL-450M and LFM2-VL-1.6B—this launch significantly advances the integration of multimodal AI into smartphones, laptops, wearables, and embedded systems without sacrificing… →
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ZenFlow: A New DeepSpeed Extension Designed as a Stall-Free Offloading Engine for Large Language Model (LLM) Training
«`html ZenFlow: A New DeepSpeed Extension Designed as a Stall-Free Offloading Engine for Large Language Model (LLM) Training The DeepSpeed team unveiled ZenFlow, an offloading engine designed to address a significant bottleneck in large language model (LLM) training: CPU-induced GPU stalls. Traditional frameworks like ZeRO-Offload and ZeRO-Infinity often leave expensive GPUs idle during training due… →
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Deep Learning Framework Showdown: PyTorch vs TensorFlow in 2025
«`html Deep Learning Framework Showdown: PyTorch vs TensorFlow in 2025 The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while maintaining distinct strengths. This article explores the latest patterns from the comprehensive survey paper from Alfaisal… →
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Statin Use in Patients With Advanced Prostate Cancer in the TITAN and SPARTAN Trials
CONCLUSIONS AND RELEVANCE: In this cohort study, statin exposure was associated with longer OS in patients treated with apalutamide. Statin-exposed patients had a higher risk of grade 3 or greater cardiac AEs, which may reflect their preexisting cardiovascular comorbidity. →
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Dynamics of the EZ/RPE Loss Ratio on OCT Over Time During Geographic Atrophy Progression and Treatment With Pegcetacoplan
CONCLUSIONS: The change in EZ/RPE loss ratios at month 12 remained to be predictive for disease activity and therapeutic response, providing insights into disease mechanisms and relevant guidance for GA management in clinical practice. The EZ/RPE loss ratio decreased either due to advanced GA or induced by therapy in treated patients versus sham. →
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A post-market, cluster randomised controlled trial of the effect of the TENA SmartCare Change Indicator on continence care efficiency and skin health in nursing homes
BACKGROUND: Urinary Incontinence (UI) is highly prevalent in older residents of nursing homes. For many, management consists of using appropriate products (pads) maintained by a check and change regimen; this is often poorly managed. Digital health technology devices, like urine saturation sensors, may aid ensure timely change of pads. This study examined the efficacy and… →
