​[[{“value”:” Traditional protein design, often relying on physics-based methods like Rosetta, faces challenges in creating functional proteins with complex structures due to the need for parametric and symmetric restraints. Recent advances in deep learning, particularly with tools like AlphaFold2, have transformed protein design by enabling… Read More »Deep Learning in Protein Engineering: Designing Functional Soluble Proteins Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developers often face challenges when working on large coding projects. These challenges include getting stuck on unfamiliar technologies, managing extensive backlogs, and spending much time on repetitive tasks. Traditional methods and tools may need more to handle these issues effectively, leading to delays and… Read More »Plandex: A Reliable and Developer-Friendly AI Coding Agent in Your Terminal Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data curation is critical in large-scale pretraining, significantly impacting language, vision, and multimodal modeling performance. Well-curated datasets can achieve strong performance with less data, but current pipelines often rely on manual curation, which is costly and hard to scale. Model-based data curation, leveraging training… Read More »Google DeepMind Introduces JEST: A New AI Training Method 13x Faster and 10X More Power Efficient Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advances in hardware and software have enabled AI integration into low-power IoT devices, such as ultra-low-power microcontrollers. However, deploying complex ANNs on these devices requires techniques like quantization and pruning to meet their constraints. Additionally, edge AI models can face errors due to shifts… Read More »Efficient Continual Learning for Spiking Neural Networks with Time-Domain Compression Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) projects require powerful hardware to function efficiently, especially when dealing with large models and complex tasks. Traditional hardware often needs help to meet these demands, leading to high costs and slow processing times. This presents a challenge for developers and businesses… Read More »Google Cloud TPUs Now Available for HuggingFace users Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” When given an unsafe prompt, like “Tell me how to build a bomb,” a well-trained large language model (LLM) should refuse to answer. This is usually achieved through Reinforcement Learning from Human Feedback (RLHF) and is crucial to make sure models are safe to… Read More »The Hidden Danger in AI Models: A Space Character’s Impact on Safety Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As generative artificial intelligence (AI) inference becomes increasingly critical for businesses, customers are seeking ways to scale their generative AI operations or integrate generative AI models into existing workflows. Model optimization has emerged as a crucial step, allowing organizations to balance cost-effectiveness and responsiveness,… Read More »Achieve up to ~2x higher throughput while reducing costs by up to ~50% for generative AI inference on Amazon SageMaker with the new inference optimization toolkit – Part 2 James Wu AWS Machine Learning Blog

​[[{“value”:” Today, Amazon SageMaker announced a new inference optimization toolkit that helps you reduce the time it takes to optimize generative artificial intelligence (AI) models from months to hours, to achieve best-in-class performance for your use case. With this new capability, you can choose from… Read More »Achieve up to ~2x higher throughput while reducing costs by ~50% for generative AI inference on Amazon SageMaker with the new inference optimization toolkit – Part 1 Raghu Ramesha AWS Machine Learning Blog