# forck.live — 25 April – 1 May 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-W17, 25 April – 1 May 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-W17 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### Isomorphic Labs — Isomorphic Labs announces first phase of management team - Company: Isomorphic Labs (isomorphiclabs.com) - Announced: 2022-05-01 - Category: not stated - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.isomorphiclabs.com/articles/isomorphic-labs-announces-first-phase-of-management-team - Record: https://forck.live/items/19142-isomorphic-labs-announces-first-phase-of-management-team - Subject: Drug Design Engine / AlphaFold New Alphabet “bet” is focused on the use of artificial intelligence to accelerate drug discovery Isomorphic Labs, a subsidiary of Alphabet, today announced the first phase of its management team. The company, established in November, was launched from Alphabet’s DeepMind to build on the success of AlphaFold, DeepMind’s work in protein folding that was heralded as the “Breakthrough of the Year” by Science and “Method of the Year” by Nature in 2021. Isomorphic Labs’ mission is to use AI and machine learning methods to accelerate and improve the drug discovery process. The company is a pioneer in the emerging field of “digital biology” and aims to usher in a new era of biomedical breakthroughs in order to find cures for some of humanity’s most devastating diseases. The new leaders join founder and acting CEO Demis Hassabis, who is currently serving as CEO of both DeepMind and Isomorphic Labs. Together they comprise a truly multidisciplinary leadership team with expertise in domains across science, engineering, machine learning and business operations that will be needed to achieve the company’s goal of dramatically improving how drugs are discovered and developed. … ### LG AI Research — LG AI Research to Develop Super-Giant Multimodal AI With SNU - Company: LG AI Research (lgresearch.ai) - Announced: 2022-04-28 - Category: partnership-acquisition - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/news/view?seq=208 - Record: https://forck.live/items/11072-lg-ai-research-to-develop-super-giant-multimodal-ai-with-snu - Subject: EXAONE LG AI Research and Seoul National University established the SNU-LG AI Research Center to jointly research super-giant multimodal AI, including 3D generation, next-generation language models, and multimodal learning. The partners selected eight joint research projects, such as 3D creation from a single image or short video and a language model emulating human learning. The collaboration also covers AI ethics and bias research, including a continuous learning algorithm to ensure equity and transparency. ### LG AI Research — [ICLR 2022] Deep Reinforcement Learning Technologies for Effective Single General-Purpose Policy - Company: LG AI Research (lgresearch.ai) - Announced: 2022-04-28 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=207 - Record: https://forck.live/items/4952-iclr-2022-deep-reinforcement-learning-technologies-for-effective-single - Subject: EXAONE Sunghoon Hong, a researcher at LG AI Research, and his work on a single general-purpose policy for multi-task reinforcement learning using graph neural networks and transformers, which was published at ICLR 2022. ### LG AI Research — LG AI Research to Develop Super-Giant Multimodal AI With SNU - Company: LG AI Research (lgresearch.ai) - Announced: 2022-04-28 - Category: partnership-acquisition - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=208 - Record: https://forck.live/items/4951-lg-ai-research-to-develop-super-giant-multimodal-ai-with-snu - Subject: EXAONE LG AI Research and Seoul National University (SNU) have established the SNU-LG AI Research Center to jointly research super-giant multimodal AI, including 3D generation, next-generation language models, and multimodal AI that handles diverse data formats. They have selected eight joint research projects and aim to advance AI ethics and bias research. ### Hugging Face — Opinion Classification with Kili and HuggingFace AutoTrain - Company: Hugging Face (huggingface.co) - Announced: 2022-04-28 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/opinion-classification-with-kili - Record: https://forck.live/items/2208-opinion-classification-with-kili-and-huggingface-autotrain - Subject: Platform Building an active learning pipeline for text classification using HuggingFace AutoTrain and Kili, with a concrete example of classifying Medium user reviews from the Google Play Store. ### Hugging Face — Director of Machine Learning Insights - Company: Hugging Face (huggingface.co) - Announced: 2022-04-27 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/ml-director-insights - Record: https://forck.live/items/2209-director-of-machine-learning-insights - Subject: Platform Hugging Face publishes the first installment of a series featuring interviews with Directors of Machine Learning, covering their insights on ML's impact and challenges in industries such as media and pharmaceuticals. ### LG AI Research — LG AI Research to Participate in ICLR 2022 Social: ML in Korea - Company: LG AI Research (lgresearch.ai) - Announced: 2022-04-26 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/news/view?seq=205 - Record: https://forck.live/items/11073-lg-ai-research-to-participate-in-iclr-2022-social-ml-in-korea - Subject: EXAONE LG AI Research is co-organizing and sponsoring the ICLR 2022 Social: ML in Korea event, held online on April 28, 2022. The event includes a plenary talk, poster session with 34 papers, and an industry session with six companies. LG AI Research will host an online booth to share information about its research environment and areas. ### LG AI Research — LG AI Research to Participate in ICLR 2022 Social: ML in Korea - Company: LG AI Research (lgresearch.ai) - Announced: 2022-04-26 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://www.lgresearch.ai/blog/view?seq=205 - Record: https://forck.live/items/4953-lg-ai-research-to-participate-in-iclr-2022-social-ml-in-korea - Subject: EXAONE LG AI Research will participate in the ICLR 2022 Social: ML in Korea event, serving as an organizer and sponsor alongside other organizations. The event includes a plenary talk, poster session, and industry session, with LG AI Research hosting an online booth. ### Hugging Face — Getting Started with Transformers on Habana Gaudi - Company: Hugging Face (huggingface.co) - Announced: 2022-04-26 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/getting-started-habana - Record: https://forck.live/items/2210-getting-started-with-transformers-on-habana-gaudi - Subject: Platform To set up a Habana Gaudi instance on AWS, install the required software, and fine-tune a BERT model for text classification using the Optimum Habana library. ### Hugging Face — Supercharged Customer Service with Machine Learning - Company: Hugging Face (huggingface.co) - Announced: 2022-04-25 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/supercharge-customer-service-with-machine-learning - Record: https://forck.live/items/2212-supercharged-customer-service-with-machine-learning - Subject: Platform Using Hugging Face tools to build a customer service system, specifically for filtering out unsatisfied customer messages via text classification. ### Hugging Face — Introducing Hugging Face for Education 🤗 - Company: Hugging Face (huggingface.co) - Announced: 2022-04-25 - Category: not stated - Coverage: not counted - Announcement: no - Group: routine - Source: https://huggingface.co/blog/education - Record: https://forck.live/items/2211-introducing-hugging-face-for-education - Subject: Platform Hugging Face announces an education initiative to teach machine learning to 5 million people by the end of 2023, offering free courses, resources for instructors, and events.