# forck.live — 24–30 October 2022 > AI lab announcements, news reports and podcasts. forck.live follows what companies announce about their own products. Press may corroborate an official story; it never leads and never appears as an item of its own. A missing date stays missing. A title is the publisher's words — where a company does not publish in English, an English rendering is listed separately as `Title in English` and named as this site's translation, never as theirs. This file is one issue of the weekly archive: every confirmed first-party announcement of ISO week 2022-W43, 24–30 October 2022, newest first. The window never moves, so this URL always names the same seven days — but a post published inside them and detected later is added when it arrives, so a closed week can still gain entries. Every entry is one first-party announcement, and carries the same eight fields in this order before any others: Company · Announced · Category · Coverage · Announcement · Group · Source · Record `Source` is the company's own page the announcement was traced to and `Record` is this site's page for it. Both are safe to cite. `Coverage` is a number of outlets, or `not counted` — which means this record reached no count of its own, never that nobody wrote about it. `Category` is this tracker's own analysis, and is authoritative wherever it is stated. `not stated` means either that nothing has analysed the post yet or that the analysis placed it outside this taxonomy; neither is a verdict about the announcement. `Announcement` is whether the post is news of something the company did, rather than a how-to, a customer story, a changelog listing or a staffing note. `Group` is which of this record's groups the entry falls in, carried on the entry itself so it holds where the groups are headings and where they are not. One of: `models`, `covered`, `announcements`, `routine`. Anything after `Record` is held detail that only some announcements carry. - This week's page: https://forck.live/week/2022-W43 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### LG AI Research — Awards Ceremony of the First LG Aimers AI Hackathon, a Special Stage of Future AI Experts! - Company: LG AI Research (lgresearch.ai) - Announced: 2022-10-27 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/news/view?seq=270 - Record: https://forck.live/items/11060-awards-ceremony-of-the-first-lg-aimers-ai-hackathon-a-special-stage-of-future - Subject: EXAONE LG AI Research held the first LG Aimers AI Hackathon Awards ceremony on October 7, featuring 1,745 participants and 975 teams who competed from August 1 to August 26 to develop AI models for predicting antenna performance of autonomous driving radar sensors. The winning team, "LG Dive," used a Multioutput Chain Regressor model based on LightGBM and received a prize of KRW 5 million, with plans to expand the program to twice yearly and build an HR pool of about 100 talented individuals for potential LG Group employment. ### LG AI Research — Awards Ceremony of the First LG Aimers AI Hackathon, a Special Stage of Future AI Experts! - Company: LG AI Research (lgresearch.ai) - Announced: 2022-10-27 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=270 - Record: https://forck.live/items/4923-awards-ceremony-of-the-first-lg-aimers-ai-hackathon-a-special-stage-of-future - Subject: EXAONE LG AI Research held the awards ceremony for the first LG Aimers AI Hackathon, a competition where participants developed AI models to predict antenna performance of autonomous driving sensors. The event was hosted by LG AI Research, sponsored by the Ministry of Employment and Labor, and organized with DACON. The hackathon had 1,745 participants and 975 teams, and the winners received prizes and interview opportunities. ### LG AI Research — LG AI Research Participates in Yonsei University's AI Workshop - Company: LG AI Research (lgresearch.ai) - Announced: 2022-10-24 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/news/view?seq=267 - Record: https://forck.live/items/11061-lg-ai-research-participates-in-yonsei-university-s-ai-workshop - Subject: EXAONE LG AI Research participated in Yonsei University's first AI Workshop on October 7, 2022, presenting research from its Applied AI Research Lab and other divisions. The company showcased two NeurIPS 2022 papers: one on improving transformer attention mechanisms for long sequences, and another on optical chemical structure recognition technology that reduces training data requirements by up to 100 times compared to existing approaches. ### LG AI Research — LG AI Research Participates in Yonsei University's AI Workshop - Company: LG AI Research (lgresearch.ai) - Announced: 2022-10-24 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=267 - Record: https://forck.live/items/4924-lg-ai-research-participates-in-yonsei-university-s-ai-workshop - Subject: EXAONE LG AI Research participated in Yonsei University's first AI workshop, giving a corporate presentation and introducing two research papers during a poster session, and also set up a career booth for student recruitment. ### Hugging Face — Evaluating Language Model Bias with 🤗 Evaluate - Company: Hugging Face (huggingface.co) - Announced: 2022-10-24 - Category: capability-change - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/evaluating-llm-bias - Record: https://forck.live/items/2140-evaluating-language-model-bias-with-evaluate - Subject: Platform Hugging Face adds bias metrics and measurements to its Evaluate library, allowing users to evaluate language model bias in areas like toxicity, polarity, and hurtfulness using causal language models such as GPT-2 and BLOOM.