Use AI to make 3D printable models with a four-step flow using Nano Banana and Bamboo Studio for faster results. Design and ...

Anthropic has seen its fair share of AI models behaving strangely. However, a recent paper details an instance where an AI model turned “evil” during an ordinary training setup. A situation with a ...

When OpenAI unveiled its first open-weight models in years this August, it wasn’t just tech companies that were paying attention. The release also excited US military and defense contractors, which ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Semiverse Solutions, particularly SEMulator3D, can enhance semiconductor engineering in several ways. SEMulator3D is a software platform for semiconductor process modeling and virtual fabrication. 1 ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

process_areas/implementation/_assets/detailed_design_example.rst:28: WARNING: dd_sta__dd_example_static.id (dd_sta__dd_example_static): expected to consisting of this ...

Abstract: Space-mapping neural network (SMNN) technology has been widely applied for parametric modeling of microwave components. However, existing SMNN technologies struggle to address the challenges ...