​[[{“value”:” The rapid advancement of AI has revolutionized various industries, from healthcare to finance, by enabling sophisticated data analysis and predictive modeling. However, the traditional approach to AI, which involves centralizing vast amounts of data for training models, raises significant privacy and security concerns. Federated… Read More »Federated Learning: Decentralizing AI to Enhance Privacy and Security Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence is undergoing rapid evolution, especially regarding the training of massive language models (LLMs) with parameters exceeding 70 billion. These models have become indispensable for various tasks, including creative text generation, translation, and content creation. However, effectively harnessing the power of such advanced… Read More »OpenRLHF: An Open-Source AI Framework Enabling Efficient Reinforcement Learning from Human Feedback RLHF Scaling Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have recently become highly valuable tools in complicated reasoning tasks, language production, and human language interpretation. Since then, there has been a dramatic increase in funding for studies in this area, and both the number of models used and the… Read More »Researchers at the University of Freiburg and Bosch AI Propose HW-GPT-Bench: A Hardware-Aware Language Model Surrogate Benchmark Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-language models (VLMs), capable of processing both images and text, have gained immense popularity due to their versatility in solving a wide range of tasks, from information retrieval in scanned documents to code generation from screenshots. However, the development of these powerful models has… Read More »Demystifying Vision-Language Models: An In-Depth Exploration Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of AI involves the development of systems that can do tasks requiring human intelligence. These tasks encompass a broad range, including language translation, speech recognition, and decision-making processes. Researchers in this domain are dedicated to creating advanced models and tools to process… Read More »Mistral AI Team Releases The Mistral-7B-Instruct-v0.3: An Instruct Fine-Tuned Version of the Mistral-7B-v0.3 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” CRISPR-based genome editing technologies have revolutionized gene study and medical treatment by enabling precise DNA alterations. AI integration has enhanced these technologies’ precision, efficiency, and affordability, particularly for diseases like Sickle Cell Anemia and Thalassemia. AI models such as DeepCRISPR, CRISTA, and DeepHF optimize… Read More »AI and CRISPR: Revolutionizing Genome Editing and Precision Medicine Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Learning in simulation and applying the learned policy to the real world is a potential approach to enable generalist robots, and solve complex decision-making tasks. However, the challenge to this approach is to address simulation-to-reality (sim-to-real) gaps. Also, a huge amount of data is… Read More »Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous systems. However, deploying RL in real-world applications necessitates addressing safety concerns, which has led to the emergence of Safe Reinforcement… Read More »Safe Reinforcement Learning: Ensuring Safety in RL Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, computer vision has made significant strides by leveraging advanced neural network architectures to tackle complex tasks such as image classification, object detection, and semantic segmentation. Transformative models like Transformers and Convolutional Neural Networks (CNNs) have become fundamental tools, driving substantial improvements… Read More »This AI Paper by the National University of Singapore Introduces MambaOut: Streamlining Visual Models for Improved Accuracy Nikhil Artificial Intelligence Category – MarkTechPost