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The AI world is abuzz! William Fedus, OpenAI's former VP of Training, has unexpectedly announced his departure, sending shockwaves through the tech community. This key figure, once at the forefront of the AI wave, isn't retiring or taking a break; instead, he's ambitiously launching a new venture focused on AI-driven materials science. Materials science? It seems a departure from the familiar world of chatbots and image generation models. Indeed, Fedus...

Recently, the Daye City People's Court in Hubei Province issued a verdict in a landmark case involving the use of artificial intelligence (AI) technology to write and profit from pornographic novels. Defendant Ke Mou was sentenced to ten months imprisonment and a fine of 5,000 yuan for the crime of producing, selling, and disseminating obscene materials for profit, and ordered to return his illegal gains. According to the prosecution, from November 2022 to March 2023, Ke Mou, a college-educated online literature author, used an AI program to write pornographic novels and published them on overseas pornographic websites, simultaneously...

Norwegian humanoid robotics company 1X Technologies (1X) recently unveiled its latest home robot, Neo Gamma, marking a significant step forward in home robotics technology. Unlike previous prototypes, Neo Gamma will undergo limited home testing, aiming to provide users with a more human-friendly intelligent service experience. 1X prioritized minimizing potential harm from human-robot interaction in Neo Gamma's design. Its exterior utilizes a novel woven nylon material, which...

Microsoft Research has launched a powerful AI system called MatterGen that can generate new materials with specific properties, potentially accelerating the development of key technologies such as batteries and solar panels. The introduction of MatterGen signifies a fundamental shift in how scientists discover new materials. Unlike traditional methods that screen millions of existing compounds, MatterGen directly generates new materials based on desired characteristics, akin to how AI image generators create visuals from textual descriptions.

Recently, global technology leader IBM and world-renowned beauty company L'Oréal announced an exciting collaboration plan aimed at leveraging IBM's Generative AI technology to deeply analyze cosmetics formulation data, thereby promoting the use of sustainable raw materials. This innovative effort will develop a customized AI foundational model designed to significantly enhance L'Oréal's R&D team's performance and consumer satisfaction across various cosmetics. This partnership combines L'Oréal's extensive expertise in cosmetic science with IBM's advanced technology.

Tencent Docs has recently launched an upgraded version of the 'Smart Scan' feature, aimed at providing users with a more convenient and efficient document management experience. This new feature is especially suitable for the back-to-school season when teachers and students need to handle a large volume of materials and documents. Users can access the 'Smart Scan' tool through the Tencent Docs mini program or APP, which offers three core functionalities: scan archiving, handwriting removal, and document management.

Ell3n has launched the 'FLUX Fashion Photography' workflow on the glif platform, allowing users to effortlessly design high-fashion model images by inputting various materials (such as plastic, banana peels, iron, wool) and selecting gender and fashion brands. Participants can creatively design clothing inspired by elements like automotive parts and electronic components, generating unique styles in fashion works. Currently, each user can experience 20 free tries per day; interested users can visit the workflow entrance to try it out.

Recently, Apple Inc. has open-sourced the DCLM-Baseline-7B model, a move that is sure to have a profound impact on the development of AI language models. The open-sourcing of the DCLM-Baseline-7B model is not just about the release of code; more importantly, it encompasses the entire chain from pre-training datasets, data processing procedures, training processes, to evaluation components. This means that researchers and developers can gain a comprehensive and in-depth understanding of the model

Feishu Docs 'The Road to AGI' is rich in content. Feishu Docs author AJ shares documents that assist product manager Magrib from a major company in integrating online knowledge documentation. He Shi Lei created an AI Q&A document.

AXT Inc's stock has risen over 135%. AXTI's Q4 2023 financial report exceeded expectations. Morris Young predicts an increase in orders for Indium Phosphide in the AI sector. Indium Phosphide is considered the best platform for data transmission. The application of Indium Phosphide in AI is driving demand for 6-inch Indium Phosphide. Indium Phosphide can be widely used in the manufacture of optical module devices, and it is encountering new growth opportunities in the metals material supply chain.

Talking Tom stated that the company is cooperating with OpenAI, Google, and others to utilize artificial intelligence models for content creation. The company has already used tools like Pika to produce video materials and is exploring the fields of marketing and animation production. AI tools similar to Sora will help the company create rich experience AI application products and services more efficiently and at a lower cost. In the video field, this will help reduce the cost of anime video production while improving content quality and efficiency.

Google DeepMind's GNoME system predicts 400,000 stable substances, and the A-Lab autonomous system successfully synthesizes these materials in the lab. GNoME proposes 2.2 million potential compounds, with A-Lab utilizing the latest robotic technology to produce 41 new inorganic materials in just 18 days. This technological breakthrough is expected to accelerate the discovery of materials in clean energy, electronics, and other fields, marking a new chapter for AI in scientific discovery. The A-Lab team successfully improved the synthesis process through an active learning algorithm, producing 41 new materials.

The AI system A-Lab independently created 41 new materials in 17 days, averaging more than 2 new materials each day, surpassing human speed. The GNoME model developed by Google DeepMind contributed nearly 400,000 new compound data points to material projects. A-Lab successfully synthesized 41 out of 58 predicted materials, achieving a success rate of 71%. GNoME improved the accuracy of structural stability predictions, significantly enhancing the efficiency of material discovery. AI facilitates the rapid manufacturing and testing of new materials, focusing on the development of critical materials for future technologies.

Google DeepMind has discovered 2.2 million theoretically stable but unrealized crystal structures using AI tools, potentially advancing fields such as renewable energy and advanced computing. The plan is to make the most promising 381,000 structures available to other scientists. The new materials discovered using AI can be utilized in multifunctional layered materials and biomimetic computing applications.

Samsung is ramping up its efforts to develop higher-density storage chips to meet the surge in AI computing demands. The company is committed to researching new materials to突破 chip performance and manufacturing limits. Samsung is increasing the production of HBM (High Bandwidth Memory) chips to cope with the AI computing demand. The company focuses on custom HBM memory chips to meet various customer AI computing needs. Samsung will continue to optimize and enhance its storage chip product matrix to support long-cycle AI chip deliveries.

Digimarc has launched the Digimarc Validate technology, allowing content copyright holders to embed copyright information in digital assets. This enables AI models to identify protected content during training, helping to prevent unauthorized use. The effectiveness of this service depends on whether AI companies proactively avoid using protected content.

{point1:iQIYI introduces AIGC to assist in script evaluation, improving efficiency and user experience. point2: By building the 'Starry Script Understanding Platform', specific plot segments in series can be searched. point3:iQIYI establishes the 'AIGC Content Technology Innovation Center' to use AIGC for generating operational materials. list:iQIYI introduces AIGC to assist in script evaluation, improving efficiency and user experience. By building the 'Starry Script Understanding Platform', specific plot segments in series can be searched.}