Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
Times Union

Commentary: New York must set stronger limits on algorithmic pricing

AI algorithms use information about you to decide how much you'll pay for items you need. It's unfair, and the Legislature must act. Credit: Getty Images. Across our economy, powerful companies are ...
TechSpot

Instacart's algorithm is quietly charging people different prices for the same groceries

A months-long joint investigation by Consumer Reports and Groundwork Collaborative has uncovered widespread price testing on Instacart's grocery delivery platform. The research shows that identical ...
GitHub

Sequential Multi-agent Dynamic Algorithm Configuration

Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...
VentureBeat

Google and OpenAI’s coding wins at university competition show enterprise AI tools can take on unsolved algorithmic challenges

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...
ascopubs.org

Time-dependent prediction model using modified DeepSurv algorithm for dynamic risk assessment of post-operative bone metastases in breast cancer.

Healthcare provider experiences in managing antibody-drug conjugate dosing adjustments due to nausea and vomiting: SABCS and ESMO survey findings. Effcacy and safety results of a multi-center phase ...
IEEE

Research on Quality Inspection and Optimal Decision-Making in Production Processes Based on Dynamic Programming Algorithm

Abstract: This study investigates the quality inspection and optimal decision-making in production processes using a dynamic programming algorithm. The primary objective is to develop a sampling ...
EurekAlert!

Multi-granularity data placement algorithm reducing latency on SPM-DRAM architectures

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...