Chinese AI video generation startup Aishi Technology recently announced the completion of its Series A2 to A4 financing, raising nearly 300 million yuan. Previously, the Series A2 financing was funded by Ant Group, while the recent Series A3 and A4 rounds were co-invested by the Beijing Artificial Intelligence Industry Investment Fund, Guoke Investment, and Guangyuan Capital. This round of financing will primarily be used to enhance technological research and development capabilities, expand computing power resources, build a talent team, and accelerate product feature iteration and market coverage, thereby continuously promoting the widespread application of AI video generation technology.

In a recent earnings call, Broadcom CEO Hock Tan shared an optimistic outlook for the future AI chip market, predicting that the company’s revenue in this area will see significant growth by 2027. According to him, the serviceable addressable market (SAM) for Broadcom's AI-related products and network services is expected to be between $60 billion and $90 billion. Tan also revealed that Broadcom is currently collaborating with three major hyperscale customers.

Dr. Alan Becker, a deep learning scientist who previously led the development of Snapchat's 'My AI' chatbot, has recently come back to launch a new company called eSelf. This startup is focused on creating a real-time, video-based conversational AI assistant platform and has successfully secured $4.5 million in seed funding, officially entering the fierce competition in the field of AI assistants. eSelf's early goal is to provide a more realistic and interactive AI experience for verticals such as education, sales, financial services, real estate, and healthcare.

EndlessAI, a four-year-old AI startup, recently launched its iOS application Lloyd, which has attracted over 50,000 users just three months after its quiet release. What sets Lloyd apart is its proprietary video streaming and encoding technology, which combines users' real-time videos with AI models to support a variety of tasks, from bike repair to storytelling. Currently, 41% of users engage with the application daily. Although Lloyd has not yet reached the user levels of ChatGPT.

Recently, Marvell Technology's market capitalization briefly exceeded $100 billion, marking the rise of this small chipmaker in the tech sector. Since 2016, CEO Matt Murphy has led the company to significant success in the rapidly growing data center chip market. Murphy stated that he did not want to take over a chip company ten times the size of his own, as this choice is not only smarter but also appears more ambitious.

Meta recently announced the launch of the latest member of its Llama series - Llama3.370B. Meta's VP of Generative AI, Ahmad Al-Dahle, announced this on the X platform, noting that Llama3.370B has achieved significant improvements in performance compared to Meta's previous largest Llama model, Llama3.1405B, while significantly reducing costs. Al-Dahle stated that by leveraging the latest technology after training, Llama3.370B...

Since its launch in 2022, ChatGPT has marked a significant shift in human-computer interaction. What started as a novel experiment has rapidly grown into an indispensable digital tool in many people's daily lives. Statistics show that ChatGPT attracted over one million users within just five days of its launch, and by November 2023, the number of weekly active users reached 100 million. By August 2024, this figure surpassed 200 million, with monthly visits reaching approximately 3.1 billion. Such an impressive user base reflects the impact of ChatGPT.

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