Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Overview: Today's high-performance cloud simulators surpass previous limits in handling qubits and accurately replicate ...

EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing ...

Microsoft ships Agent Framework 1.0 but Azure's agent stack still spans too many surfaces while Google and AWS offer cleaner ...

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...

Load some OHLCV data (numpy array [T, 6] with columns [ts, open, high, low, close, volume]) and spin up the env: Data loader for Binance USDT-M futures (REST or websocket capture, incl. funding).