Google AI Releases Gemma 3n: A Compact Multimodal Model Built for Edge Deployment
Source: MarkTechPost Google has introduced Gemma 3n, a new addition to its family of open models, designed to...
Inception Labs Introduces Mercury: A Diffusion-Based Language Model for Ultra-Fast Code Generation
Source: MarkTechPost Generative AI and Its Challenges in Autoregressive Code Generation The field of generative artificial intelligence has...
Google DeepMind Releases AlphaGenome: A Deep Learning Model that can more Comprehensively Predict the Impact of Single Variants or Mutations in DNA
Source: MarkTechPost A Unified Deep Learning Model to Understand the Genome Google DeepMind has unveiled AlphaGenome, a new...
New AI Research Reveals Privacy Risks in LLM Reasoning Traces
Source: MarkTechPost Introduction: Personal LLM Agents and Privacy Risks LLMs are deployed as personal assistants, gaining access to...
ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens
Source: MarkTechPost Reframing Code LLM Training through Scalable, Automated Data Pipelines Code data plays a key role in...
ByteDance Researchers Introduce ProtoReasoning: Enhancing LLM Generalization via Logic-Based Prototypes
Source: MarkTechPost Why Cross-Domain Reasoning Matters in Large Language Models (LLMs) Recent breakthroughs in LRMs, especially those trained...
Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning
Source: MarkTechPost Sakana AI introduces a novel framework for reasoning language models (LLMs) with a focus on efficiency...
LLMs factor in unrelated information when recommending medical treatments
Source: MIT News – Artificial intelligence A large language model (LLM) deployed to make treatment recommendations can be...
Why Apple’s Critique of AI Reasoning Is Premature
Source: MarkTechPost The debate around the reasoning capabilities of Large Reasoning Models (LRMs) has been recently invigorated by...
Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ‘ShockCast’ for High-Speed Flow Simulation with Neural Temporal Re-Meshing
Source: MarkTechPost Challenges in Simulating High-Speed Flows with Neural Solvers Modeling high-speed fluid flows, such as those in...