Analytics Insight

Best Physical AI Development Tools and Frameworks in 2026

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
GitHub

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

All modules require Python 3.6 or above. Note that support for Python 3.7 in TensorFlow is experimental at the time of writing, and requirements may need to be ...
Tech Times

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...

Why Weibo’s tiny VibeThinker-3B has the AI world arguing over benchmarks again

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting ...
GitHub

Multi-Pass Deep Q-Networks

Multi-Pass Deep Q-Networks (MP-DQN) fixes the over-paramaterisation problem of P-DQN by splitting the action-parameter inputs to the Q-network using several passes (in a parallel batch). Split Deep ...
IEEE

Energy-Saving Full-Body Control of Hybrid Vehicles Through Deep Reinforcement Learning

Abstract: Deep reinforcement learning (DRL) algorithms have become an essential approach for enabling autonomous evolution in artificial intelligence (AI) models. As the representative form, ...