A review of artificial intelligence research in the International Journal of Hydromechatronics suggests that combining large language models (LLMs), structured knowledge systems and physical agents could help create machines capable of understanding, reasoning and acting in complex environments.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review | 0 | 7.7 | 01-06-2026 |
| 2 | Study highlights federated and reinforcement learning for natural language processing | 0 | 8.51 | 28-07-2026 |
| 3 | A unified large language model–based framework for heterogeneous PV image diagnosis | 0 | 9.5 | 18-08-2026 |
| 4 | LLMs as Clinical Instruments—Toward Verifiable Reasoning | 0 | 8.16 | 29-07-2026 |
| 5 | From knowing to doing: embodied AI gets to work | 0 | 9.28 | 23-07-2026 |
| 6 | Conceptual Understanding and Conceptual Change Through Human AI Collaboration in Science Education: An Integrated Conceptual Framework from a Systematic Literature Review [version 1; peer review: awaiting peer review] | 0 | 4.88 | 08-08-2026 |
| 7 | Agentic AI in HR: How to create responsibly | 0 | 5 | 07-01-2026 |
| 8 | Popular vs. reliable sources—a blind spot in how LLMs assess information | 0 | 8.23 | 30-07-2026 |
| 9 | Making sense of embodied AI | 0 | 5 | 18-07-2026 |
| 10 | Why embodied AI security extends beyond the robot | 0 | 8.26 | 24-07-2026 |