One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Although Lemonade is still unprofitable, its margins are getting sweeter, with cash flow turning positive. Read why LMND ...

Launched in October 2024, it combines advanced AI agents with a DAO governance model, enabling autonomous trading ... unlike chains limited by sequential execution. This architecture is a game-changer ...

Google says that the move to Gemini 2.5 has boosted the accuracy and usefulness of Deep Research. The graphic above shows Google's alleged advantage compared to OpenAI's deep research tool. These ...

Anthropic released a new study on April 3 examining how AI models process information and the limitations of tracing their ...

Milan, a global hub of fashion and finance, increasingly asserts itself as a leading center for architecture and design. Its status as Italy's second-largest city underpins its vibrant cultural ...

Abstract: The authors introduce FFN Fusion, an architectural optimization technique that reduces sequential computation in large language models by identifying and exploiting natural opportunities for ...

Semiconductor nanowires, by definition, typically have cross-sectional dimensions that can be tuned from 2–200 nm, with lengths spanning from hundreds of nanometres to millimetres. These ...

Abstract: Adaptive filtering faces significant challenges in handling complex non-Gaussian noise, while graph signal processing (GSP) excels at processing data with intricate structures. This brief ...