Categories: AI/ML News

What a folding ruler can tell us about neural networks

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network’s artificial neurons are optimized in such a way that they can carry out specific tasks, such as autonomously discovering objects or characteristic features in images.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

AVERAGE COMFYUI USER

submitted by /u/james_za666 [link] [comments]

8 hours ago

Optimal Corpus Aware Training for Neural Machine Translation

Corpus Aware Training (CAT) leverages valuable corpus metadata during training by injecting corpus information into…

8 hours ago

Securely launch and scale your agents and tools on Amazon Bedrock AgentCore Runtime

Organizations are increasingly excited about the potential of AI agents, but many find themselves stuck…

8 hours ago

Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful…

8 hours ago

Google adds limited chat personalization to Gemini, trails Anthropic and OpenAI in memory features

Google updated the Gemini app running of Gemini 2.5 Pro to reference all historical chats…

9 hours ago

OpenAI Designed GPT-5 to Be Safer. It Still Outputs Gay Slurs

The new version of ChatGPT explains why it won’t generate rule-breaking outputs. WIRED’s initial analysis…

9 hours ago