Researchers have launched a new open-source MATLAB toolbox that generates synthetic networks with built-in vital nodes, providing a standardized benchmark for accurate influential-node detection in ...

Worms is becoming a hotspot for predictive high-end algorithm development: The deep-tech company mAInthink.ai presents ...

The Atari 100k benchmark has been used to test an agent's ability to excel in three critical areas: interactivity, generalization, and efficiency.

The flagship algorithm, Arrival, is an implementation shortfall strategy that has been engineered from scratch on the new platform. Named after its price benchmark, Arrival works to minimize slippage ...

Citi’s suite of futures execution algorithms include other intelligent benchmark algorithms such as TWAP, VWAP and Close; as well as a broad range of tactical strategies and smart order types.

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a Grover-based quantum algorithm designed to find pure Nash equilibria in graphical games. This ...

MicroAlgo (MLGO) announced the development of an innovative hybrid algorithm that combines classical and quantum computing to optimize Multi-Query Optimization problems. "MicroAlgo’s hybrid ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Unfortunately, too little is known about these algorithms’ underlying data, development, testing, and performance to judge their reliability and ability to promote equitable care delivery.

In conclusion, among 12,350 patients with cancer seen in tertiary and community oncology practices, ML algorithms to predict short-term mortality that integrated routinely collected patient-reported ...