AI Tools

The UK is spearheading an ambitious plan to phase out animal testing, spurred by advancements in AI and biotechnology. The initiative aims to replace animal models with technologies like 'organs on chips' and digital twins, with specific targets for phasing out tests on animals for skin irritants, Botox potency, and drug trials.

Google DeepMind has unveiled SIMA 2, a new AI agent leveraging the Gemini large language model to navigate and solve problems in diverse 3D virtual environments. This represents a significant leap towards general-purpose AI agents capable of instruction-following and complex task completion, potentially paving the way for advanced real-world robots.

Microsoft's ConectAI program in Brazil is empowering millions with crucial AI skills, aiming to train 5 million learners by 2027. The initiative, in collaboration with the Brazilian government and partner organizations, provides free online courses and significant investment in cloud and AI infrastructure.

Google's commitment to 24/7 carbon-free energy by 2030 is being challenged by the surging energy demands of its AI operations. Despite investments in carbon capture and nuclear energy, the company acknowledges the difficulty of achieving its 'moonshot' goal amidst rapid AI growth.

Google Pixel is teaming up with luxury sneaker brand Golden Goose to integrate AI into the design and production processes of fashion ateliers. This collaboration aims to enhance craftsmanship and personalize the creation of high-end goods.

Researchers have developed a novel hybrid approach that combines Large Language Models (LLMs) and Abstract Meaning Representation (AMR) parsing to translate natural language into Answer Set Programming (ASP) code. This method aims to simplify the interaction with code for those unfamiliar with programming languages, particularly in solving combinatorial problems. The system minimizes the role of LLMs to focus on straightforward tasks, while AMR graphs systematically generate ASP constraints.

Researchers have developed a novel hybrid AI system that translates natural language into Answer Set Programming (ASP) code using Large Language Models (LLMs) and Abstract Meaning Representation (AMR). This approach minimizes the role of LLMs to improve explainability and accuracy, making complex logic problems more accessible to users without programming expertise. The system shows promise in creating lighter-weight, more transparent solutions for converting natural language into executable logic.

Researchers have developed a novel hybrid AI system that translates natural language into Answer Set Programming (ASP) code for solving complex logic puzzles. The system leverages both Large Language Models (LLMs) and Abstract Meaning Representation (AMR) parsing to minimize LLM limitations and improve explainability. This approach marks a significant step towards creating lightweight and transparent AI for solving combinatorial problems.

Researchers have developed a novel hybrid approach that uses Large Language Models (LLMs) and Abstract Meaning Representation (AMR) parsing to translate natural language into Answer Set Programming (ASP) code. This allows individuals unfamiliar with programming to interact with code and solve complex logic problems more easily. The system minimizes the role of LLMs to simple tasks, making it a lighter-weight and more explainable solution.

Microsoft has integrated OpenAI's GPT-5.1 into Copilot Studio, offering improved adaptability in AI agent chat and reasoning capabilities. This experimental model is available to U.S. customers in early release Power Platform environments, allowing them to test cutting-edge features. The integration aims to enhance enterprise AI agent workflows.