A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Abstract: In millimeter wave (mmWave) systems, it is challenging to ensure reliable communication links due to the high sensitivity to the presence of blockages. In order to improve the robustness of ...

Phil Chen, a fromer researcher at OpenAI and how the founder of an agent-native startup, has offered fresh career guidance ...

Kpower servo has officially obtained an invention patent for a side-out robot servo and its assembly method granted by the National Intellectual Property Administration of China. Addressing the ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Electric vehicle adoption continues to rise, yet the technology’s competitiveness against internal combustion engine ...

The two parties will jointly establish Goooo AI Research Labs, focusing on long-term research and development in AI Agents, ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The offices of Google are pictured in London on February 28, 2026. JUSTIN TALLIS/AFP via Getty Images Google released agents-cli on April 21, 2026, and it has shipped 13 updates in the 71 days since — ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...