​[[{“value”:” The detailed study of the fly connectome has revolutionized neuroscience, offering insights into brain circuitry and its applications. Extending this progress to the mouse brain, which shares more structural similarities with the human brain, holds immense potential. It could provide the foundation for brain-inspired… Read More »E11 Bio Introduces PRISM: Revolutionizing Brain Connectomics for Scalable Neuroscience and AI Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google DeepMind has introduced Genie 2, a multimodal AI model designed to reduce the gap between creativity and AI. Genie 2 is poised to redefine the future of interactive content creation, particularly in video game development and virtual worlds. Building upon the foundation of… Read More »Google DeepMind Introduces Genie 2: An Autoregressive Latent Diffusion Model for Virtual World and Game Creation with Minimal Input Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have rapidly advanced multimodal large language models (LMMs), particularly in vision-language tasks. Videos represent complex, information-rich sources crucial for understanding real-world scenarios. However, current video-language models encounter significant challenges in temporal localization and precise moment detection. Despite extensive training in… Read More »TimeMarker: Precise Temporal Localization for Video-LLM Interactions Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​The remarkable advancements in Multimodal Large Language Models (MLLMs) have not rendered them immune to challenges, particularly in the context of handling deceptive information in prompts, thus producing hallucinated responses under such conditions. To quantitatively assess this vulnerability, we present MAD-Bench, a carefully curated benchmark… Read More »How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts Apple Machine Learning Research

​[[{“value”:”*Equal Contributors Motivated by the problem of next word prediction on user devices we introduce and study the problem of personalized frequency histogram estimation in a federated setting. In this problem, over some domain, each user observes a number of samples from a distribution which… Read More »Private and Personalized Frequency Estimation in a Federated Setting Apple Machine Learning Research

​[[{“value”:” Medprompt, a run-time steering strategy, demonstrates the potential of guiding general-purpose LLMs to achieve state-of-the-art performance in specialized domains like medicine. By employing structured, multi-step prompting techniques such as chain-of-thought (CoT) reasoning, curated few-shot examples, and choice-shuffle ensembling, Medprompt bridges the gap between generalist… Read More »Advancing Medical AI: Evaluating OpenAI’s o1-Preview Model and Optimizing Inference Strategies Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA.  At AWS re:Invent 2024, we are excited to introduce Amazon Bedrock Marketplace. This a revolutionary new capability within Amazon Bedrock that serves as a centralized hub for discovering,… Read More »Amazon Bedrock Marketplace now includes NVIDIA models: Introducing NVIDIA Nemotron-4 NIM microservices James Park AWS Machine Learning Blog

​[[{“value”:” Understanding protein sequences and their functions has always been a challenging aspect of protein research. Proteins, often described as the building blocks of life, are made up of long, complex sequences that determine their roles in biological systems. Despite advancements in computational biology, making… Read More »EvolutionaryScale Releases ESM Cambrian: A New Family of Protein Language Models which Focuses on Creating Representations of the Underlying Biology of Protein Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton. Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and… Read More »Real value, real time: Production AI with Amazon SageMaker and Tecton Isaac Cameron AWS Machine Learning Blog

​[[{“value”:” Today, we’re excited to announce a new capability that allows you to deploy over 100 open-weight and proprietary models from Amazon SageMaker JumpStart and register them with Amazon Bedrock, allowing you to seamlessly access them through the powerful Amazon Bedrock APIs. You can now… Read More »Use Amazon Bedrock tooling with Amazon SageMaker JumpStart models Vivek Gangasani AWS Machine Learning Blog