Recently, companies like Meta and Spotify have united to publicly criticize the European Union's decisions in the fields of data privacy and artificial intelligence (AI). In an open letter, they pointed out that the EU's decision-making process has become 'fragmented and inconsistent,' which not only affects business operations but could also undermine Europe’s competitiveness in the AI era. Image note: The image is generated by AI, and the image is licensed from Midjourney. The open letter states that with increased regulation on data privacy, businesses face challenges in using data to train AI models.

Within the complex neural networks of the human brain, billions of neurons are continuously generating electrical activity, encoding our every thought, action, and sensation. The complexity of this neural symphony has long been a significant challenge in brain-computer interface (BCI) research. However, researchers at the University of Southern California (USC) have recently made a major breakthrough by developing a novel artificial intelligence algorithm called DPAD (Decoupled Prioritized Dynamic Analysis), which promises to fundamentally change the way we interpret brain activity. Image Source Note: Image generated by AI, image licensed by provider M

EU regulators have launched an investigation into Google's PaLM2 language model, focusing on data privacy compliance. The Irish Data Protection Commission is assessing the risks posed to EU residents' personal data. This underscores the EU's commitment to AI privacy rules and the global trend towards stricter data protection for AI technologies.....

A group of amateur enthusiasts successfully verified that the fifth number BB(5) of the Busy Beaver problem equals 47,176,870 using the Coq proof assistant software. This is the most significant advancement in the field of computational theory since 1983. This achievement marks an enhancement in the ability to solve complex mathematical problems, demonstrating the potential of software-assisted proof. The Busy Beaver problem dates back to 1974 and aims to find the specific Turing machines that can write the most '1's. The core of the problem lies in understanding the behavior of Turing machines, particularly their performance regarding the halting problem. This discovery not only contributes to

Intel has partnered with Japan's National Institute of Advanced Industrial Science and Technology (AIST) to establish the first chip manufacturing R&D center in Japan equipped with Extreme Ultraviolet (EUV) lithography technology. EUV technology is suitable for manufacturing chips at 5nm and below, providing Japanese chip designers with the opportunity to collaborate with AIST and Intel to leverage the latest process technologies and enhance their global competitiveness. The construction of this center is expected to take three to five years, with a total investment of several hundred million dollars, and will serve as a resource for semiconductor manufacturers and materials companies, charging fees. This collaboration will not only help

At the IFA 2024 exhibition, Intel announced the launch of the Lunar Lake processor series, aiming to reach a target of 100 million AI PC shipments by the end of 2025. Data shows that shipments of AI PCs equipped with Intel Core Ultra processors doubled in the second quarter of 2024, exceeding 15 million units. Canalys predicts that the share of AI PCs in the Windows PC market will increase from less than 10% in 2024 to 30% in 2025.

The United States, the United Kingdom, and the European Union have jointly signed the first legally binding AI treaty, the 'AI Framework Convention', aimed at ensuring that AI applications adhere to principles of human rights, democracy, and the rule of law. The treaty requires signatory countries to follow principles that protect user data, respect the law, and operate transparently, implementing these principles through legislation and administrative measures. Although compliance with the treaty primarily relies on monitoring, and enforcement may be weak, it is seen as an important blueprint for countries to formulate AI laws. Currently, the US, EU, UK, and several other countries have signed, and the treaty will come into force in five...

The first international AI treaty will be opened for signing on September 5, covering 57 countries, including the United States, the United Kingdom, and EU member states. This 'AI Convention' aims to address AI risks, protect human rights, and promote responsible innovation. The UK Justice Minister emphasizes that this treaty ensures the rational use of new technologies without compromising fundamental values. The focus is on protecting human rights affected by AI, in contrast to the EU's AI regulations that emphasize market regulation. The treaty has been in preparation since 2019, aiming to implement it through legislative and administrative measures, with the UK government committed to working with all parties.

Cosmos Institute has announced a program aimed at cultivating a new generation of tech talent and entrepreneurs, focusing on fostering individuals who can think deeply and uphold humanistic values in the age of artificial intelligence. The founding members of the institute include Jack Clark of Anthropic and former Department of Defense technology expert Brandon McCall. The core goal is to create AI technologies that respect human dignity and mitigate the negative impacts of automation. The institute has established the 'Human-Centered AI Lab' at the University of Oxford, led by philosopher Philip Kouroupos, with the aim of integrating philosophical principles.

Google DeepMind has released GameNGen, a fully neural network-driven game engine that revolutionizes traditional game image generation methods. GameNGen can generate game visuals in real-time based on player actions, achieving high-quality images that are nearly indistinguishable from reality, with smoothness close to the minimum frame rate perceptible to the human eye. This technology showcases the immense potential of AI in the game development field, which could change game development efficiency, provide personalized experiences, unlock infinite possibilities, and impact game hardware demands and creative approaches.

Tong Xin, a former global research partner at Microsoft, has concluded his 25-year research career at Microsoft Research Asia as a leading figure in the field of graphics. He has joined the newly established AGI startup Anuttacon as Chief Researcher. Anuttacon focuses on exploring the boundaries of AGI and creating virtual world experiences using AI technology, currently operating in both Singapore and the San Francisco Bay Area. Tong Xin's addition, along with former Bilibili Vice President Wang Yuyang serving as Chief User Ecosystem Officer, brings a strong technological background and rich industry experience to the company.

Zuckerberg and Ek jointly criticized the EU AI regulations, arguing that these complex rules hinder the development of open source AI in Europe and limit innovation and developer vitality. They called for simplification and unification of regulations, emphasizing that open source AI creates a fair competitive environment. Europe should leverage its single diverse market advantage to avoid missing out on technological development opportunities. Although the EU legislation exempts open source AI, the conditions limit its potential, and the transparency requirements for datasets have little impact on open source AI. Zuckerberg also stated that he is willing to release a value of 10 if it is safe and beneficial to the public.

Under the magic of technology, Elon Musk's Neuralink company has brought new hope to a paralyzed gaming enthusiast named Alex. With brain-computer interface technology, Alex is not only able to play the game 'CS2' but has even achieved a stunning triple kill, something that was unimaginable before.

The rapid development of brain-computer interface technology is reshaping human lives, not only helping patients with speech disorders regain their communication abilities and allowing paralyzed individuals to walk again, but also potentially granting humanity 'superpowers'. Elon Musk's Neuralink company has enabled direct interaction with the digital world by implanting chips in paralyzed patients, allowing them to control devices with their thoughts, bringing unprecedented convenience and possibilities to life. This technology is not limited to assistive functions; it has also sparked discussions about enhancing human capabilities in the future, including the possibility of competing with superintelligent AI.

The Institute of Automation of the Chinese Academy of Sciences, in collaboration with Tsinghua University, Peking University, and other institutions, has proposed a method for constructing brain-like neuron models based on endogenous complexity. This method demonstrates the equivalence of the dynamic characteristics of the LIF model and HH model in spiking neural networks and enhances the endogenous complexity of the computational unit through microarchitecture design, allowing the HH network model to simulate larger-scale characteristics of the LIF network model. The research team has also simplified the model to the s-LIF2HH model, and validated its ability to capture complex dynamic behaviors through simulation experiments.

Researchers at Georgia Tech have developed RTNet, the first neural network capable of simulating human perception and decision-making processes, marking a significant advancement in AI's understanding of the human brain. RTNet generates random decisions, mimics human response time distribution, and adjusts thinking time based on task difficulty, resembling human problem-solving. Its mechanism combines AlexNet architecture with Bayesian neural net....

AMD announced that it has officially completed the acquisition of Silo AI, one of Europe's largest private artificial intelligence laboratories. The transaction is valued at approximately $665 million, equivalent to around 4.77 billion yuan based on the latest exchange rate, and AMD will pay the entire amount in cash.

The Transformer architecture, a star in the field of artificial intelligence, has led a revolution in natural language processing with its self-attention mechanism at its core. However, when handling long contexts, the resource consumption of self-attention calculations becomes a bottleneck. To address this issue, researchers have proposed the Tree Attention method, which decomposes the calculation tasks through tree reduction to improve efficiency. This method not only reduces communication overhead and memory usage but is also 8 times faster than existing methods in a multi-GPU environment. The introduction of Tree Attention not only enhances performance.

Social media platform X (formerly Twitter) faces privacy complaints from nine countries for using EU users' data without consent to train its AI chatbot Grok. The Irish Data Protection Commission expressed surprise at this behavior. Under the EU's General Data Protection Regulation, companies must have legal grounds to process personal data or face hefty fines. Complaints indicate X processed data from about 60 million EU users without clear noti....

Tsinghua University's Departments of Electronic Engineering and Automation have jointly developed the "Taiji-II" optical training chip, enabling efficient and precise optical computation training for large-scale neural networks. This innovation overcomes the limitations of existing optical computing technology, eliminating the reliance on GPUs for offline modeling and simplifying the training process. The chip demonstrates exceptional performance....