Recently, the Evo2 bio AI model, jointly developed by Arc Institute and Nvidia, was officially released. This foundational model is based on DNA data from over 100,000 species and aims to deeply decode various complex phenomena in biology. Evo2 can identify patterns in the genetic sequences of different organisms that researchers would typically take years to discover, significantly enhancing the ability to identify disease-related mutations, and can design entirely new genomes comparable to simple bacteria.

Google has officially announced the launch of its AI research assistant system based on Gemini 2.0 - the AI co-scientist, aimed at providing virtual collaboration for scientists to generate novel research hypotheses and suggestions. This system not only offers traditional literature review and summarization capabilities but also breakthrough original knowledge discovery abilities. The AI co-scientist can simulate the reasoning process of scientific methods and provide researchers with innovative research hypotheses and proposal plans based on existing evidence and specific research objectives.

Recently, the Arc Institute partnered with NVIDIA, along with researchers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco, to jointly release the world's largest biological artificial intelligence model — Evo2. This model is based on data from over 128,000 genomes, training on 93 trillion nucleotides, making its scale comparable to the most powerful generative AI language models. Evo2's deep learning capabilities enable it to rapidly identify sequences of genes across different organisms.

Recently, Aomni announced the completion of a $4 million seed round funding led by Decibel, with participation from Sancus Ventures and Ride Home Fund. Aomni is dedicated to assisting sales teams in conducting in-depth customer research using a human-centered approach aimed at improving sales efficiency rather than replacing sales personnel. Image source note: The image is AI-generated and licensed by Midjourney. Aomni's founder, David Z.

Recently, a study led by Meta's Chief AI Scientist Yann LeCun revealed how artificial intelligence can develop a basic understanding of physics by watching videos. This research, conducted by scientists from Meta FAIR, Paris University, and EHESS, shows that AI systems can acquire intuitive physical knowledge through self-supervised learning without predefined rules. The research team employed a new method called Video Joint Embedding Predictive Architecture (V-JEPA).

Recently, Meeta Technology announced that its AI search platform has launched a new research model - 'Think First, Search Later'. The core of this innovative model is to allow the AI model to first propose a framework and pathway for thinking, thereby laying the foundation for subsequent information integration and analysis. This approach enables users to obtain the information they need more efficiently, significantly enhancing research productivity. It is understood that the 'Think First, Search Later' model adopts a collaborative architecture of 'small model + large model'. Specifically, the framework for deep reasoning and the task of breaking down steps are entrusted to...

A recent study from Microsoft and Carnegie Mellon University indicates that excessive reliance on artificial intelligence (AI) tools may be eroding people's critical thinking abilities. The research team surveyed 319 knowledge workers and collected 936 real-world examples of generative AI usage across various industries, including IT, design, administration, and finance. The study analyzed six dimensions of critical thinking: knowledge, understanding, application, analysis, synthesis, and evaluation. The findings reveal that people's thinking patterns in problem-solving change significantly after using AI tools.

On February 18th, Shanghai Mita Network Technology Co., Ltd. announced the launch of its latest research mode - 'Shallow Research'. This feature aims to quickly gather information and conduct preliminary analysis using AI technology, helping users obtain valuable research results in a short amount of time.

In recent years, the rapid development of artificial intelligence (AI) technology, especially driven by countries like the United States and China, has made AI a focal point of global technological competition. To this end, the EU recently announced a funding program of up to 200 billion euros to promote development in this field. Despite Germany's strong capabilities in AI research, why hasn't a single successful AI enterprise emerged? Source: Image generated by AI, image courtesy of service provider Midjourney according to Professor Bjorn from the University of Munich.

Recently, AI company Perplexity announced the launch of a brand new 'Deep Research' tool, becoming another competitor in the industry. The release of this tool follows closely behind Google and OpenAI, who have also introduced similar features on their respective AI platforms, all using the name 'Deep Research', aimed at providing professional users with more detailed and reliable research answers. Perplexity's 'Deep Research' feature can be found on the web.

With the advancement of artificial intelligence technology, multi-agent systems are increasingly capable of handling complex tasks across various fields. These systems are composed of multiple specialized agents that collaborate to leverage their individual strengths and achieve common goals. Such collaboration excels in areas like complex reasoning, programming, drug discovery, and safety assurance, as the structured interactions between agents not only enhance problem-solving efficiency but also allow for mutual correction, thereby improving each agent's output. Research indicates that this collaborative approach often outperforms in tasks that require rigorous reasoning or fact verification.

A recent study released by the University of Munich, the Munich Machine Learning Center, and Adobe Research shows that 12 top AI language models, including GPT-4o, Gemini1.5Pro, and Llama-3.3-70B, face significant performance degradation in long-text conceptual reasoning tasks. Despite these models supporting context processing of at least 128,000 tokens, their ability to establish deep logical connections still has fundamental limitations. The research team developed NOLIMA (No Text Matching).

As artificial intelligence (AI) technology continues to advance, businesses are beginning to explore whether to rely on a single AI agent or to build a multi-agent network that encompasses a broader range of functions. Recently, the orchestration framework company LangChain conducted related experiments aimed at exploring the performance limits of AI agents when faced with an overload of instructions and tools. LangChain detailed its experimental process in a blog, focusing on the central question: 'What happens when a ReAct agent is asked to handle...

Recently, researchers from Microsoft Research and Carnegie Mellon University released a new study revealing potential issues for knowledge workers using generative AI (such as Copilot and ChatGPT). The research team surveyed 319 knowledge workers who use generative AI weekly to explore their application of critical thinking while using these tools. Image source note: Image generated by AI, courtesy of image licensing provider Midjourney. The research findings indicate that those...

Cisco recently released a research report on CEOs in the field of artificial intelligence (AI). The report shows that while 97% of CEOs plan to integrate AI into their businesses, only 2% believe they are ready for AI. This survey covered over 2,500 CEOs from more than 250 companies across Europe, North America, South America, Africa, and the Asia-Pacific region, all aged 25 and older. Image credit: Image generated by AI, image licensed from Midjourney.

Recently, China National Knowledge Infrastructure announced the official launch of its new knowledge service solution, which integrates the Cognitive Model with DeepSeek. This combination aims to provide users with more precise and comprehensive knowledge answers through its expertise across all disciplines and fields, as well as deep thinking capabilities.