According to Canalys data, global AI PC shipments reached 13.3 million units in Q3 2024, accounting for 20% of total PC shipments for the first time. AI PCs are defined as desktops and laptops equipped with chipsets or modules specifically designed to handle artificial intelligence workloads, such as NPUs (Neural Processing Units). With the continuous increase in supply of these devices, AI PC shipments grew by 49% year-on-year. Notably, Windows devices are in A

The rapid development of generative AI has raised the challenge of comprehensively evaluating its performance. A plethora of models have emerged, each showcasing increasingly impressive results. However, the pressing question remains: how do we assess the effectiveness of these text-to-image models? Traditional evaluation methods often rely on subjective visual assessments or simple metrics like CLIPScore, which frequently fail to capture the intricate details found in complex text prompts, such as relationships between objects and logical reasoning. This leads to inaccurate evaluation outcomes for many text-to-image models.

Recently, AMD launched its latest Strix Point APU series, highlighting its exceptional performance in AI large language model (LLM) applications, far surpassing Intel's Lunar Lake series processors. With the growing demand for AI workloads, the competition in hardware is becoming increasingly fierce. To address the market, AMD has introduced AI processors designed for mobile platforms, aiming for higher performance with lower latency. AMD stated that the Strix Point series of Ryzen

In September 2024, OpenAI's ChatGPT achieved a milestone by surpassing Microsoft Bing in terms of traffic for the first time. This AI chatbot has seen significant growth in usage across web and mobile applications. According to Similarweb, ChatGPT's official website recorded over 3.1 billion global visits last month, a 112% increase compared to last year and an 18.7% rise from August.

Recently, Zyphra officially launched Zamba2-7B, a small language model with unprecedented performance, featuring 7B parameters. This model claims to surpass its current competitors in quality and speed, including Mistral-7B, Google's Gemma-7B, and Meta's Llama3-8B. The design goal of Zamba2-7B is to meet the needs of environments that require strong language processing capabilities but are constrained by hardware conditions, such as processing or using it on devices.

Real to cartoon is a timeless trend on social platforms, continuously evolving with new methods. For example, I just discovered this interesting Flux LoRA, which is expected to become popular on Xiaohongshu soon. This LoRA generates 4 real photos and additionally overlays a corresponding cartoon character on top. The effect is somewhat similar to the recent trending Cotton Candy Dolls on Douyin, where real photos and cartoon characters are layered together in one image, with a white outline around the cartoon character to enhance contrast.

Recently, the artificial intelligence platform Hugging Face announced that the number of publicly available AI models has exceeded one million. This milestone not only signifies Hugging Face's rapid development in the AI field but also reflects the increasing importance of specialized AI solutions. Image source note: The image was generated by AI, image authorized by service provider Midjourney. Hugging Face co-founder Clément Delang

Recently, the Allen Institute for AI (Ai2) released Molmo, a brand new open source multimodal AI model family that performs exceptionally well, even surpassing OpenAI's GPT-4o, Anthropic's Claude 3.5, and Google's Gemini 1.5 in several third-party benchmark tests. Molmo not only accepts user-uploaded images for analysis but has also been trained using '1000 times less data than its competitors.'

Recently, a study from the St. Louis Federal Reserve Bank, Vanderbilt University, and Harvard Kennedy School revealed that generative artificial intelligence (AI) is infiltrating our daily work lives at an astonishing pace. The study, titled "The Rapid Adoption of Generative Artificial Intelligence," indicates that the adoption rate of generative AI has already surpassed that of the early use of personal computers (PCs) and the internet. According to the research, 39.4% of Americans aged 18 to 64 have begun using generative AI, with 28% of them using it at work.

In a recent interview, Yann LeCun, Chief AI Scientist at Meta, stated that we will soon have the technology to provide personal AI assistants, creating a team of personal digital assistants for everyone who can access the internet. As a scientist, he focuses on predicting technological advancements and their potential, emphasizing that we will have AI that can match or even surpass human intelligence. Image source note: Image generated by AI, image licensed from service provider Midjourney. LeCun pointed out that in the future, our relationship with AI will evolve.

Geely Auto has recently achieved a significant breakthrough in the field of speech synthesis, with its self-developed HAM-TTS large model outperforming the industry benchmark VALL-E, attracting widespread attention in the industry. This AI large model, named "Xingrui," has achieved significant improvements in key indicators such as pronunciation accuracy, naturalness, and speaker similarity. The HAM-TTS model utilizes token-based zero-shot text-to-speech hierarchical acoustic modeling technology, greatly enhancing the user interaction experience in intelligent cockpits. Under the same conditions of 400 million parameters, HAM-TTS...

In this year's stock market, Meta, the parent company of Facebook, has stood out significantly, particularly among the so-called 'Big Seven' stocks. Except for Nvidia, Meta's performance is especially remarkable. Recently, Meta's stock price continued to rise during Monday's trading session, mainly due to a top Wall Street analyst raising their price target for the stock. Meta (Ticker: META) reached new highs in today's trading, reflecting overall strong market performance, and its market cap has increased this year.

Biotech startup Chai Discovery has launched the AI model Chai-1, aimed at predicting molecular structures to aid drug development. This model surpasses Google's DeepMind AlphaFold in accuracy and has been supported by OpenAI and Thrive Capital. Chai-1's free web interface and open-source code encourage non-commercial research. The model excels in predicting various types of molecules, particularly demonstrating unexpected accuracy when data is incomplete, contributing significantly to drug development.