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Analog In-Memory Compute for Transformer Inference
Hardware and Chips

Analog In-Memory Compute for Transformer Inference

Analog In-Memory Compute for Transformer Inference — research by V. Iyer, M. Larsen, published at ISSCC in 2026.

Research paper
Carbon-Intelligent Training Schedules at Data Center Scale
Sustainable Computing

Carbon-Intelligent Training Schedules at Data Center Scale

Carbon-Intelligent Training Schedules at Data Center Scale — research by G. Pradhan, A. Costa, published at HotCarbon in 2026.

Research paper
Retrieval-Augmented Reasoning with Long-Horizon Memory
Artificial Intelligence

Retrieval-Augmented Reasoning with Long-Horizon Memory

Retrieval-Augmented Reasoning with Long-Horizon Memory — research by Z. Liu, O. Bista, published at ICLR in 2026.

Research paper
Automated Program Repair at Repository Scale
Software Engineering

Automated Program Repair at Repository Scale

Automated Program Repair at Repository Scale — research by L. Ferrari, I. Shrestha, published at FSE in 2025.

Research paper
Differentially Private Fine-Tuning with Adaptive Clipping
Machine Learning

Differentially Private Fine-Tuning with Adaptive Clipping

Differentially Private Fine-Tuning with Adaptive Clipping — research by T. Nguyen, R. Gurung, published at ICML in 2025.

Research paper
Post-Quantum Key Exchange on Constrained Devices
Cybersecurity

Post-Quantum Key Exchange on Constrained Devices

Post-Quantum Key Exchange on Constrained Devices — research by E. Hansen, P. Thapa, published at IEEE S&P in 2025.

Research paper
Variational Circuits for Materials Simulation
Quantum Computing

Variational Circuits for Materials Simulation

Variational Circuits for Materials Simulation — research by M. Ito, S. Joshi, published at Quantum in 2025.

Research paper
Autoscaling Kubernetes with Reinforcement Learning
Cloud and Systems

Autoscaling Kubernetes with Reinforcement Learning

Autoscaling Kubernetes with Reinforcement Learning — research by A. Mishra, K. Olsen, published at EuroSys in 2025.

Research paper
Benchmarking Data Quality for Scientific Machine Learning
Data Science

Benchmarking Data Quality for Scientific Machine Learning

Benchmarking Data Quality for Scientific Machine Learning — research by D. Khadka, J. Moreau, published at KDD in 2025.

Research paper