Pure Storage: Quality Business, Expensive Certainty

Pure Storage, Inc. is rated a Hold with robust ARR growth, high gross margins, and a strong balance sheet. Learn more about PSTG stock here.

Palo Alto Networks Lifts FY26 Revenue Outlook as 2Q Profit Jumps — Update

Palo Alto Networks lifted its full-year revenue outlook after recording a jump in second-quarter profit driven by continued demand for cybersecurity services.

Iowa State gymnastics season canceled over 'internal conflicts,' per AD

Iowa State AD Jamie Pollard said the school canceled its gymnastics season due to "unreconcilable differences" between athletes, coaches and parents.

Palo Alto Networks Lifts FY26 Revenue Outlook as 2Q Profit Jumps

Palo Alto Networks lifted its full-year revenue outlook after recording a jump in second-quarter profit driven by continued demand for cybersecurity services.
ZAWYA

Proofpoint launches Proofpoint Partner Network to accelerate partner growth and profitability

New global partner program delivers stronger incentives, strategic investments, and expanded services to help partners ...

Kiteworks Launches Channel First Training and Certification Program for Global Partner Network

AI-powered training platform & private LLM assistant equip partners to capture billions in private data exchange ...
eLife

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
IEEE

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers

Abstract: Forecasting within signal processing pipelines is crucial for mitigating delays, particularly in predicting the dynamic movements of objects such as NBA players. This task poses significant ...
IEEE

ReFIN: Recurrent Feature Importance Network for Dynamic Feature Selection

Abstract: Dynamic feature selection is critical for improving the flexibility and efficiency of predictive models in machine learning, particularly when dealing with sequential data streams. In this ...