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A collaborative team from Ant Group, Zhejiang University, University of Liverpool, and East China Normal University presented ScaleOT, a novel cross-domain fine-tuning framework, at AAAI 2025. This framework achieves a 50% improvement in privacy protection and a remarkable 90% reduction in computational cost compared to knowledge distillation, without compromising model performance. ScaleOT offers a highly efficient and lightweight solution for cross-domain fine-tuning of billion-parameter models. The innovative nature of the paper secured it an oral presentation at AAAI.

The AI field is abuzz with the recent news of Moonshot's open-sourcing of its new optimizer, Muon, which boasts a computational efficiency twice that of traditional AdamW. This release coincides with DeepSeek's upcoming release of several codebases, generating significant industry attention and discussion. The Muon optimizer was initially proposed by OpenAI researchers Keller Jordan et al. in 2024 and showed excellent performance in training small-scale models. However,

In recent years, Apple's commitment to diversity and inclusion (DEI) policies has been challenged by some shareholders. As one of the few companies in Silicon Valley standing against conservative forces, Apple is facing scrutiny and pressure from shareholders while maintaining its diversity policies. Shareholders are calling for a reevaluation of these policies, believing they could impact the company's performance. Additionally, Apple's recent collaboration with the artificial intelligence company OpenAI has become a focal point of debate. Some shareholders are concerned that this partnership may bring more ethical dilemmas.

Recently, in a popular podcast, OpenAI CEO Sam Altman candidly shared the challenges and strategies the company is currently facing. With the rapid rise of DeepSeek, an emerging force on a global scale, OpenAI is feeling unprecedented competitive pressure. Altman stated that DeepSeek, as a competitor from China, has launched a new model that is not only powerful but also reportedly highly cost-effective, creating significant ripples throughout the industry.

As businesses increasingly adopt large language models (LLMs), improving the accuracy of model knowledge and reducing hallucination phenomena has become a significant challenge. Researchers at Meta AI have introduced a 'Scalable Memory Layer' in a recent paper, which may provide a solution to this issue. The core idea of the scalable memory layer is to add more parameters to the LLMs without increasing computational resources during inference, thereby enhancing their learning capabilities. This architecture is suitable for storing large amounts of factual knowledge while maintaining...

For a long time, efficiently generating high-quality, wide-angle 3D scenes from a single image has been a challenge faced by researchers. Traditional methods often rely on multi-view data or require time-consuming per-scene optimization, and they struggle with background quality and reconstruction of unseen areas. Existing technologies, when dealing with single-view 3D scene generation, often produce errors or distortions in occluded areas due to insufficient information, along with blurry backgrounds and difficulties in inferring the geometric structure of unseen regions. While regression-based models can synthesize new views in a feedforward manner, they struggle with complex...

On December 24, the Shanghai Municipal Government Office announced the 'Work Plan for the Development of Medical Artificial Intelligence in Shanghai (2025-2027)'. The plan clarifies the main tasks and goals for the next three years, aiming to respond to the national strategic deployment of 'AI + Action'. By promoting deep integration of medical innovation and artificial intelligence, it seeks to transform Shanghai into a globally influential hub for innovation, application demonstration, and industrial development in medical AI technology.

Wall Street is closely watching Meta Platforms (META) for its aggressive push into artificial intelligence (AI) and its dominant position in digital advertising. The tech giant's early investments in AI infrastructure are seen as a strong engine for long-term growth, with some analysts even setting lofty price targets between $650 and $800 per share. Over the past year, Meta's revenue grew by 23% year-over-year, reaching $156.23 billion. Additionally, its operational efficiency remains impressive, boasting a return on equity of 36%.

According to 'Intelligent Emergence', Hong Tao, co-founder and former head of commercialization at Baichuan Intelligent, has left the company. Sources close to Baichuan have revealed that Hong is no longer involved in the company's daily operations and that his departure has been for some time. Baichuan responded by stating that Hong left for personal reasons and thanked him for his contributions to the commercialization team during the company's early stages. Hong was formerly the Chief Marketing Officer (CMO) at Sogou and successfully helped Sogou rank among the top six in internet advertising revenue.

Tesla CEO Elon Musk is fully committed to pursuing AI chips to support his new supercomputer, a move that has already pushed Nvidia's production capacity to its limits. According to a report by The Wall Street Journal, a sales executive at Nvidia mentioned in an internal email that Musk's demand for their chips is putting pressure on the company's supply chain. An Nvidia spokesperson stated, 'We are working hard to meet all customer demands and have significantly increased the available supply.' Image source note: Image generated by AI.

American semiconductor company AMD has recently announced a global workforce reduction of about 4%, with the number of layoffs expected to be under 1,000. This move comes as AMD continues to surpass Intel in the x86 processor market but faces fierce competition from industry giant Nvidia in its transition from graphics processing units (GPU) to artificial intelligence (AI) accelerators. An AMD spokesperson stated, 'To align our resources with our biggest growth opportunities, we are taking some targeted steps.'

After experiencing online examinations during the COVID-19 pandemic, traditional in-person exams have returned to our campuses. This shift is not only aimed at allowing students to relive the 'tense atmosphere' of real exams, but it also addresses a significant issue: the rampant cheating and the rise of artificial intelligence. Since intelligent tools like ChatGPT have entered our lives, the likelihood of cheating seems to have skyrocketed. According to Turnitin's data, the AI detection feature launched in April 2023 discovered unexpected amounts of cheating within its first year.

Recently, Rony Abovitz, the founder of Magic Leap, has once again captured public attention with his new company SynthBee, which has just completed a $20 million funding round. Located in Fort Lauderdale, Florida, the same place where Magic Leap rose to fame and sparked excitement around mixed reality computing, this funding aims primarily to expand the team and advance its unique computational intelligence platform. Image credit: Photo by AI generation.

Recently, a research team from Shanghai Jiao Tong University and Harvard University introduced a novel model fine-tuning method — LoRA-Dash. This new approach claims to be more efficient than existing LoRA methods, particularly in the fine-tuning of specific tasks, achieving the same results with an 8 to 16 times reduction in the number of parameters. This is undoubtedly a major breakthrough for fine-tuning tasks that require substantial computational resources. In the context of the rapid development of large-scale language models, the demand for fine-tuning specific tasks is steadily increasing. However, fine-tuning often

Recently, the US Department of Commerce released a proposal requiring artificial intelligence (AI) companies to provide detailed reports, aimed at stricter regulation of this rapidly evolving technological field. The notice, titled 'Proposed Rules,' was published on September 9, with the intention of ensuring the safety, reliability of AI technology, and preventing potential misuse by foreign adversaries or non-state actors. Photo credit: Image generated by AI, image licensed from Midjourney. Secretary of Commerce Gina Raimondo stated at a press conference that the rapid development of AI...