Psychology Today

Navigating the Impacts of AI-Driven Social Media Algorithms

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
IEEE

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms

Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...
Wall Street Journal

The Algorithm Will See You Now

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...
GitHub

test_api_reports_organization_data_isolation.ts

import type { IAuthorizationToken } from "@ORGANIZATION/PROJECT-api/lib/structures/IAuthorizationToken"; import { IEntity } from "@ORGANIZATION/PROJECT-api/lib ...
IEEE

Deep Minimax Classifiers for Imbalanced Datasets With a Small Number of Minority Samples

Abstract: The concept of a minimax classifier is well-established in statistical decision theory, but its implementation via neural networks remains challenging, particularly in scenarios with ...
decrypt

MiniMax Drops State-of-the-Art AI Agent Model—Then Quietly Changes the License

Add Decrypt as your preferred source to see more of our stories on Google. The new MiniMax M2.7 matches top closed models in benchmarks. The model underwent a quite license shift to restrict ...
unite

MiniMax Open Sources M2.7, a Self-Evolving Agent Model

Chinese AI company MiniMax has released the weights for MiniMax M2.7, a 229-billion-parameter Mixture-of-Experts model that participated in its own development cycle – marking what the company calls ...