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Open Contracts: The Free and Open Source Document Analytics Platform Niharika Singh Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Managing, analyzing, and extracting data from large volumes of documents is a crucial yet challenging task. Traditionally, this has required expensive proprietary software solutions. Introducing Open Contracts, a free and open-source platform designed to democratize document analytics. Open Contracts is a fully open-source, AI-powered… Read More »Open Contracts: The Free and Open Source Document Analytics Platform Niharika Singh Artificial Intelligence Category – MarkTechPost

Meet Lytix: An AI Platform that Brings Insights, Testing, and E2E Analytics to Your LLM Stack with Minimal Changes to Your Existing Codebase Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Product insights & monitoring, testing, end-to-end analytics, and errors are four of the most difficult LLMs to monitor and test. Teams mostly waste weeks of dev time building internal tools to solve these problems. Most product analytics efforts have concentrated on numerical metrics like… Read More »Meet Lytix: An AI Platform that Brings Insights, Testing, and E2E Analytics to Your LLM Stack with Minimal Changes to Your Existing Codebase Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

DoRM: A Brain-Inspired Approach to Generative Domain Adaptation Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Few-shot Generative Domain Adaptation (GDA) is a machine learning and domain adaptation concept that addresses the challenge of adapting a model trained on a source domain to perform well on a target domain, using only a few examples from the target domain. Such a… Read More »DoRM: A Brain-Inspired Approach to Generative Domain Adaptation Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

Deep Learning in Protein Engineering: Designing Functional Soluble Proteins Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“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

Plandex: A Reliable and Developer-Friendly AI Coding Agent in Your Terminal Niharika Singh Artificial Intelligence Category – MarkTechPost

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​[[{“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

Google DeepMind Introduces JEST: A New AI Training Method 13x Faster and 10X More Power Efficient Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“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

Efficient Continual Learning for Spiking Neural Networks with Time-Domain Compression Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​[[{“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

Google Cloud TPUs Now Available for HuggingFace users Niharika Singh Artificial Intelligence Category – MarkTechPost

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​[[{“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

The Hidden Danger in AI Models: A Space Character’s Impact on Safety Sajjad Ansari Artificial Intelligence Category – MarkTechPost

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​[[{“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

Transfer Learning for Structured Pruning under Limited Task Data Apple Machine Learning Research

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​[[{“value”:”This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP-III) Workshop at NeurIPS. Large, pre-trained models are problematic to use in resource constrained applications. Fortunately, task-aware structured pruning methods offer a solution. These approaches reduce model size by dropping structural units like… Read More »Transfer Learning for Structured Pruning under Limited Task Data Apple Machine Learning Research