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Researchers at the University of Navarra in Spain have developed RNACOREX, an open-source software platform that identifies gene regulation networks linked to cancer survival. The tool analyzes thousands of biological molecules simultaneously to detect molecular interactions often missed by traditional methods, providing an explainable alternative to AI models while predicting patient survival with comparable accuracy.
A study published in Patterns journal reveals AI image generators repeatedly default to the same 12 generic visual motifs when generating images autonomously. Researchers paired AI models in a visual telephone experiment, finding that despite diverse starting prompts, systems like Stable Diffusion XL consistently produced Eurocentric themes like Gothic cathedrals and Parisian nightscapes—what they call 'visual elevator music.'
Meta is building Mango, a new image and video AI model, alongside Avocado, a text-based large language model, both slated for early 2026 release. Chief AI officer Alexandr Wang revealed the roadmap during an internal Q&A, emphasizing improved coding capabilities and world models. The move intensifies competition with OpenAI, Google, and Anthropic in the generative AI race.
Renowned AI scientist Yann LeCun confirmed his new startup Advanced Machine Intelligence, seeking €500 million at a €3 billion valuation before launch. The venture will develop world model AI systems that understand the physical world, with Alexandre LeBrun from Nabla as CEO. This marks one of the largest pre-launch AI fundraising rounds.
Tel Aviv-based Skana Robotics has developed an AI-powered capability that allows underwater robots to communicate across long distances without surfacing. The breakthrough addresses a critical challenge in defense operations and infrastructure protection, where submersibles traditionally had to expose themselves by rising to the surface to transmit data.
Patronus AI introduced Generative Simulators, a training architecture that creates adaptive simulation environments to address the 63% failure rate AI agents face on complex tasks. The technology dynamically generates new challenges and provides continuous feedback, moving away from static benchmarks that fail to predict real-world performance.
Databricks has closed a $4 billion Series L funding round at a $134 billion valuation, just three months after hitting $100 billion. The data intelligence company now generates $4.8 billion in annual revenue, with over $1 billion from AI products. The funding will accelerate development of Lakebase, Agent Bricks, and Databricks Apps while supporting acquisitions and global expansion.
Chai Discovery, an OpenAI-backed biotech startup, secured $130 million in Series B funding at a $1.3 billion valuation. Led by General Catalyst and Oak HC/FT, the round brings total funding to over $225 million. The company's Chai 2 AI model designs custom antibodies from scratch, solving complex drug development challenges that previously took years in just weeks.
Washington State University researchers used artificial intelligence and molecular simulations to identify a critical amino acid interaction that stops herpes viruses from entering cells. By introducing a targeted mutation to this single interaction among thousands, they successfully blocked viral fusion, pointing toward a new direction for antiviral therapies that intervene before infection begins.
Google co-founder Sergey Brin admits his 2019 retirement was a mistake, revealing he was 'spiraling' before returning to work on Gemini AI. Speaking at Stanford University, Brin acknowledged Google 'messed up' by underinvesting in large language models despite pioneering the Transformer research that powers ChatGPT.
The Department of Energy unveiled over $320 million in funding for Trump's Genesis Mission, an ambitious AI initiative designed to double American scientific productivity within a decade. The investment establishes the American Science Cloud and partners with tech giants including Nvidia, OpenAI, and Microsoft to create an integrated discovery platform linking national labs with industry and academia.
Google DeepMind will establish its first automated research lab in the UK next year, focusing on materials science and superconductor development. The UK government partnership grants British scientists priority access to advanced AI tools including Gemini models, AlphaFold, and AlphaGenome. The collaboration aims to accelerate scientific breakthroughs in clean energy, nuclear fusion, and public services modernization.
OpenAI faces mounting criticism for allegedly restricting publication of research highlighting AI's negative economic impacts. Tom Cunningham and at least one other researcher left the economic research team after internal tensions over the company's shift from rigorous analysis to what departing employees called a propaganda arm for AI advocacy.
The UAE is constructing a massive AI campus in Abu Dhabi's desert, a quarter the size of Paris, powered by five gigawatts of electricity. With over $147 billion invested since 2024 and partnerships with tech giants like Microsoft, OpenAI, and Nvidia, the oil-rich nation aims to become an AI-native powerhouse. But fierce competition from the US and China means success remains uncertain in this fast-evolving sector.
Databricks launched OfficeQA, a new AI benchmark testing agents on real enterprise document tasks using U.S. Treasury Bulletins. The results reveal a sobering reality: even the best AI agents from OpenAI and Anthropic achieve less than 45% accuracy on document-heavy work that mirrors actual business needs, exposing a critical disconnect between academic tests and enterprise requirements.
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