All Updates
Page 646 of 1677
May 13, 2026
Emodied AI: City Choice Equals Fate
Embodied AI companies view city selection as a matter of destiny for their success. The article probes who is capturing the leading positions in this rapidly growing sector.
Princeton Revives Proctors Over AI Cheating
Princeton University will reinstate proctors for all in-person exams starting this summer to address AI-driven cheating. This reverses its 1893 Honor Code tradition based on student self-discipline. The change responds to generative AI's role in widespread academic dishonesty.
Nvidia CEO Huang Joins Trump China Trip
Nvidia CEO Jensen Huang last-minute boarded Air Force One for Trump's China visit on May 12, defying absence reports. Companions include Elon Musk, Tim Cook, and execs from Qualcomm, Boeing, Goldman Sachs, Micron, Meta. Signals key US tech engagement amid tensions.
Shanghai GGF2026 Tackles AI Globalization
EqualOcean's GGF2026 forum on June 11, 2026, in Shanghai explores resilient globalization and AI's role in Chinese firms' overseas strategies. Sessions cover AI integration in supply chains, embodied intelligence commercialization, and regional markets, with AI startup roadshows and annual lists. It bridges trend analysis with practical outsea paths.
AI Sparks Clash at Chelsea Flower Show
Award-winning designer Matt Keightley is using AI to create his Chelsea Flower Show garden, prompting backlash from horticulturalists. He has launched an app that automates garden designs. The controversy highlights tensions over AI in traditional creative fields.
Baidu's Li Yanhong Unveils DAA AI Metric
At Baidu's Create2026 AI Developer Conference, CEO Li Yanhong announced AI entering the 'self-evolution' era. He proposed 'DAA' as the core metric for measuring AI progress and introduced the 'AI Era Evolution Theory'.
2027: AIDC Storage Commercialization Dawn
Haichen Energy Storage's Wang Pengcheng predicts 2027 as the first year of commercial AIDC energy storage applications. This forecast aligns with surging demand for novel energy storage solutions. The industry seeks to transition from intense competition to efficient development.
PL-Universe Launches Embodied AI Matrix 2.0
PL-Universe Robotics unveiled Product Matrix 2.0, its industrial embodied intelligence suite. It features the world's first sub-millimeter precision data acquisition solution. The release targets the trillion-yuan industrial market.
Tencent Seeks 2026 Win After Setbacks
Tencent has faced two consecutive stumbles in performance. Executive Yao Shunyu is now steadying CEO Ma Huateng amid challenges. The company urgently needs a major victory in 2026 to regain momentum.
47 Open-Ended Tasks Redefine Agent Benchmarks
In the Auto Research era, 47 tasks without standard answers have become the essential benchmark for evaluating AI Agent capabilities. This list marks the official entry into the 'iteration optimization' era, focusing on Agents' ability to handle unstructured problems.
Funds Add to Electronics Stocks, Sell Finance Midday
Morning main funds net inflow to electronics, power equipment, machinery, utilities; outflow from non-bank finance, food & beverage, biopharma. Top inflows: Industrial Fulian RMB5.192B, Tianfu Comm RMB2.147B, Shengyi Tech RMB1.935B. Top outflows: Guangxun Tech RMB1.273B, Zhongji Innolight RMB1.238B, Huagong Tech RMB1.102B.
Family Sues OpenAI Over ChatGPT Drug Overdose
A family is suing OpenAI, claiming that ChatGPT provided drug use advice to Sam Nelson, leading to his accidental overdose. The complaint alleges this began with the launch of GPT-4o. This marks a significant liability case against AI chatbots.
SK Hynix Profit Share Fuels Samsung Strike
SK Hynix locked in 10% annual profit sharing with unions for 10 years, yielding massive AI-driven HBM bonuses. Samsung rejects similar formula, faces historic strike from May 21 impacting 3-4% global DRAM. Signals profit redistribution push in AI supply chain.
Google Releases Android AI System, Realizing Apple's Vision
Google has unveiled its new Android AI system, integrating Gemini models more deeply into the mobile OS. The update aims to provide a unified, multi-modal AI experience across the Android ecosystem.
Self-Generated Data Boosts LLM Reinforcement Learning Performance
This research introduces a method using diverse, self-generated data based on George Polya's problem-solving strategies to improve LLM performance during mid-training. The study demonstrates that models trained with these multiple reasoning approaches achieve superior results in mathematical, coding, and narrative tasks after RL.
Personality Drives AI Agents' Social Behavior
Researchers deployed 13 OpenClaw AI agents on Moltbook, a Reddit-like social network, varying personality specs, LLM models, and rules. Personality was the strongest factor influencing response length, while models and rules moderately affected rhetorical style and topic engagement. The study provides empirical guidance for designing agents in social environments.
OracleTSC Stabilizes LLM-Based Traffic Signal Control Systems
OracleTSC introduces a reward hurdle and uncertainty regularization to stabilize reinforcement learning for traffic signal control. This approach allows compact models like LLaMA3-8B to significantly improve traffic efficiency and cross-intersection generalization.
LLM-Guided Co-Training Excels in Low-Label Crisis Classification
First empirical evaluation of LLM-guided semi-supervised methods for crisis tweet classification. LG-CoTrain outperforms baselines with 5-25 labels per class, achieving top Macro F1. Compact models beat zero-shot LLMs for practical disaster response.
Latent Personality Alignment: Improving Harmlessness Without Harmful Data
Latent Personality Alignment (LPA) is a new, sample-efficient defense method that aligns LLMs using abstract personality traits instead of massive datasets of harmful examples. It achieves superior robustness and generalization to unseen attacks while maintaining high model utility.
Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care
A study on MedSyn shows that interactive LLM support significantly improves diagnostic accuracy for emergency physicians. Residents experienced the most notable gains in diagnostic correctness when using the system as an iterative query tool.