Search AI Products and News

Yesterday, XPeng Motors held a technical sharing session on AI large language models. Li Liyun, head of autonomous driving, stated that breakthroughs in AI large language model technology are pushing autonomous driving towards practical implementation. He mentioned that current autonomous driving technology has unprecedented potential for realization, and the industry is entering a critical turning point.

Meta is testing a new feature that allows users to generate comment suggestions on Instagram using artificial intelligence. X user Jonah Manzano discovered and shared this test feature, showing users can tap a pencil icon below a post to access Meta AI, which analyzes the photo and provides three possible comments. Users can refresh for more suggestions if unsatisfied. A Meta spokesperson confirmed the company is testing Meta AI in multiple areas.

In a recent annual letter, YouTube CEO Neal Mohan described artificial intelligence (AI) as one of the company's four major 'bets' for 2025. Mohan mentioned that YouTube is actively investing in AI tools for creators, including video ideation, thumbnail generation, and language translation features. Notably, the translation feature will be rolled out to all creators participating in the YouTube Partner Program this month, while another AI feature will also be introduced.

Recently, Character.AI, an AI chat platform supported by Google, experienced a notable glitch that made conversations between users and chatbots confusing, resulting in mixed language outputs that included strange mentions of sex toys. Many users shared screenshots of their conversations with the chatbot on Reddit, showing that the AI-generated text gradually devolved into nonsensical gibberish, including various languages such as Turkish, German, and Arabic. One user stated that ...

In recent years, the significant breakthroughs in protein discovery that have led to a Nobel Prize have gradually highlighted the potential of Fundamental Models (FMs) in exploring large combinatorial spaces, signaling a possible revolution in multiple scientific fields. Despite this, the field of Artificial Life (ALife) has yet to fully utilize these fundamental models, presenting a tremendous opportunity for development. To this end, the research team has introduced a method called 'Automatic Search for Artificial Life' (ASAL), which utilizes visual language foundational models to effectively alleviate the long-standing reliance in the field of artificial life.

Nexa AI recently unveiled its new OmniAudio-2.6B audio language model, designed to meet the efficient deployment demands of edge devices. Unlike traditional architectures that separate automatic speech recognition (ASR) and language models, OmniAudio-2.6B integrates Gemma-2-2b, Whisper Turbo, and a custom projector into a unified framework. This design eliminates the inefficiencies and delays associated with linking various components in traditional systems, making it especially suitable for resource-constrained computing.

To help creators engage more easily with their audiences through comments, YouTube is testing new AI-enhanced comment reply suggestions. This feature allows creators to edit suggestions to fit their own tone and style for better interaction with viewers. Users will soon start seeing comment reply suggestions in the 'Comments' or 'Community' tab in Studio and the YouTube mobile app. Additionally, the comment reply suggestions are completely optional and editable; if you do want to edit a suggestion, simply do so before posting your comment.

In the realm of printers, HP's recent innovative moves have sparked widespread attention. Indeed, they are not focused on improving frequent paper jam issues or considering how to make it easier for you to use affordable third-party ink. Instead, they are bringing artificial intelligence technology into printers, offering users a brand new printing experience. This new feature called 'HP Print AI' is currently in an exclusive testing phase, generating high expectations. Firstly, it introduces the 'Perfect Output' feature aimed at improving the printing quality of web pages. In the past, printing web content often...

Yunzhisheng Intelligent Technology Co., Ltd. has recently launched an automatic live streaming system called 'Blue Algae AI Broadcasting', aimed at addressing multiple pain points in the live streaming industry through artificial intelligence technology. This system is based on Yunzhisheng's Shanhai Large Model and advanced human-like AI voice technology, enabling 24-hour continuous broadcasting, significantly reducing live streaming costs while enhancing interactivity and viewer experience.

RapidLayoutRecover is an innovative document image processing tool designed to efficiently convert scanned documents or PDF pages into editable Word or TXT text formats. Its core advantage lies in the intelligent automatic recognition capability, which can accurately identify elements such as text, tables, and formulas, automatically complete layout analysis, and extract content, significantly saving users time and effort. The tool quickly classifies document orientation, conducts detailed layout analysis, and recognizes text, tables, and formulas, achieving conversion from document images to structured TXT.

The release of PaddlePaddle Framework 3.0 features a core upgrade to unified automatic parallelism technology, aimed at simplifying the distributed training process for large models and improving development efficiency. The new version supports mixed parallelism techniques from four-dimensional to five-dimensional, employing various parallel methods such as data parallelism, tensor model parallelism, pipeline parallelism, and grouped parameter slicing parallelism, effectively enhancing the training efficiency of large models. The automatic parallelism technology uses tensor slicing syntax to automatically infer distributed slicing states and add communication operators, reducing the difficulty of development. The principles of automatic parallelism include distributed tensor representation and slicing inference.

The Seed-ASR engine launched by ByteDance achieves high-precision recognition of Mandarin, 13 Chinese dialects, and 7 foreign languages through massive training data, significantly enhancing the convenience of cross-language communication. Its key advantage lies in its excellent contextual awareness, accurately recognizing proper nouns, place names, and keywords by incorporating historical information, especially performing exceptionally well in specific scenarios, thereby improving recognition accuracy. Whether in daily conversations, complex meetings, or interactions among multiple people in noisy environments, Seed-ASR can transcribe accurately. It can also recognize various professional terms.

The Federal Trade Commission (FTC) of the United States announces a comprehensive ban on fraudulent artificial intelligence (AI) generated reviews and recommendations to combat dishonest practices in online reviews, including the purchase of positive reviews, hiring fake followers, and fabricating character testimonials. These fake reviews mislead consumers and undermine fair market competition. The new regulations highlight the dangers of AI-generated fake reviews and their impact on consumer decision-making. FTC Chair Lina Khan stated that fake reviews pollute the market and divert attention from honest competitors. This regulation aims to protect consumers by ensuring they rely on genuine user feedback rather than falsehoods.

A study from the University of California, Berkeley, reveals that large language models significantly decrease the quality of images generated by DALL-E 3 after automatic prompt modifications, with a decline of 58%. Through online experiments comparing DALL-E 2, DALL-E 3, and DALL-E 3 with automatic prompt revisions, it was found that DALL-E 3 outperformed DALL-E 2 in technical capability and adaptability to user prompt strategies. The study noted that DALL-E 3 users achieved better image matching through longer, semantically similar, and more descriptive prompts.

Ka Ying Network showcased a revolutionary game development technology to the industry. The company's large model lead, Tan Kai, delivered a speech titled 'AI Large Model Fully Automated Game Generation' at the 'China Game Market Data Insight Forum', revealing Ka Ying Network's latest breakthroughs in game production, marking a significant transformation in the way games are developed.

Google is currently testing the automatic theft detection feature announced at the May I/O Developer Conference for Android 15. The feature is being tested for the first time in Brazil, where smartphone theft is a serious issue, and user feedback has been enthusiastic.

Amazon has released a next-generation ASR system that covers over 100 languages, providing comprehensive automatic speech recognition services. The speech foundation model improves accuracy by 20% to 50%, with enhancements of 30% to 70% in challenging areas such as telephone speech. The system supports multiple features, including automatic punctuation, custom vocabulary, automatic language identification, and speaker separation. Thousands of businesses are leveraging Amazon Transcribe to unlock insights from audio content, enhancing accessibility and discoverability.

Powder can automatically extract exciting moments from game videos, detecting winning moments and streamer shouts, saving up to 10 hours of editing time each week.