I'm really glad I took this mail-order medical-grade microbiome shotgun test to look for warning signs of health conditions. All products featured on WIRED are independently selected by our editors. However, when you buy something through our retail links, we may earn an affiliate commission. Medical-grade shotgun test is the gold standard. "Show the work," so you can see which studies it's referencing. Results can be confusing or conflicting. Need a doctor to understand some of the results. We hear a lot about the microbiome, also known as the zoo of different bacteria living in your digestive system. We know some are good and some are bad.

Blair (left) and Clegg hosted the private dinner at the five-star Corinthia hotel in London in January. Blair (left) and Clegg hosted the private dinner at the five-star Corinthia hotel in London in January. Exclusive: Six tech leaders dined with investment minister, documents reveal, underlining growing influence of ex-PM's consultancy Tony Blair and Nick Clegg hosted a private dinner earlier this year at which a select group of technology entrepreneurs were given access to a key minister, official documents have revealed. He and Clegg, the former deputy prime minister who at the time was a senior executive at Meta, invited leaders of six tech companies to dine with Poppy Gustafsson, who was the government's investment minister responsible for persuading firms to invest in Britain. Blair is an evangelical proponent of the revolutionary potential of technology to transform faltering public services and has long courted alliances with leaders in the industry.

Embodied robots nowadays can already handle many real-world manipulation tasks. However, certain other real-world tasks involving dynamic processes (e.g., shooting a basketball into a hoop) are highly agile and impose high precision requirements on the outcomes, presenting additional challenges for methods primarily designed for quasi-static manipulations. This leads to increased efforts in costly data collection, laborious reward design, or complex motion planning. Such tasks, however, are far less challenging for humans. Say a novice basketball player typically needs only about 10 attempts to make their first successful shot, by roughly imitating some motion priors and then iteratively adjusting their motion based on the past outcomes. Inspired by this human learning paradigm, we propose Prior Reinforce(P.R.), a simple and scalable approach which first learns a motion pattern from very few demonstrations, then iteratively refines its generated motions based on feedback of a few real-world trials, until reaching a specific goal. Experiments demonstrated that Prior Reinforce can learn and accomplish a wide range of goal-conditioned agile dynamic tasks with human-level precision and efficiency directly in real-world, such as throwing a basketball into the hoop in fewer than 10 trials. Project website:https://adap-robotics.github.io/.

NVIDIA CEO and co-founder Jensen Huang commends President Donald Trump's A.I. agenda and outlines what the countrys job future will look like on Special Report. President Donald Trump displays a signed executive order during the "Winning the AI Race" summit hosted by All‑In Podcast and Hill Valley Forum at the Andrew W. Mellon Auditorium on July 23, 2025 in Washington, DC. Trump signed executive orders related to his Artificial Intelligence Action Plan during the event. 'TIP OF THE SPEAR': The Trump administration is announcing the launch of a new tool it says will be instrumental in enabling agencies across the federal government to efficiently implement artificial intelligence at scale and take a major step forward rolling out the president's "AI Action Plan." 'MUCH SMARTER': Geoffrey Hinton, one of the most prominent figures in the world of artificial intelligence, is sounding the alarm that machines could soon outthink humans, and he's advocating for "maternal instincts" to be built into advanced systems to ensure AI cares for and protects people. ROBOT SOUS CHEF: In the heart of Dubai, just steps from the Burj Khalifa, the future of food is taking shape.

NVIDIA CEO and co-founder Jensen Huang commends President Donald Trump's A.I. agenda and outlines what the countrys job future will look like on Special Report. FIRST ON FOX: The Trump administration is announcing the launch of a new tool it says will be instrumental in enabling agencies across the federal government to efficiently implement artificial intelligence at scale and take a major step forward rolling out the president's "AI Action Plan." Trump's U.S. General Services Administration (GSA) said on Thursday it has launched USAi, a tool the agency describes as a "secure generative artificial intelligence evaluation suite that enables federal agencies to experiment with and adopt artificial intelligence at scale--faster, safer, and at no cost to them." The agency says that the platform, available starting Thursday at 10 a.m. through USAi.ov, gives government users access to "powerful" tools like chat-based AI, code generation and document summarization with the goal of "supercharging employee productivity." "USAi isn't just another tool, it's infrastructure for America's AI future," GSA Chief Information Officer David Shive explained.

Three days after the Trump administration published its much-anticipated AI action plan, the Chinese government put out its own AI policy blueprint. Was the timing a coincidence? China's "Global AI Governance Action Plan" was released on July 26, the first day of the World Artificial Intelligence Conference (WAIC), the largest annual AI event in China. Geoffrey Hinton and Eric Schmidt were among the many Western tech industry figures who attended the festivities in Shanghai. Our WIRED colleague Will Knight was also on the scene.

White House'A.I. and crypto czar' David Sacks addresses the'major plank' in President Donald Trump's new A.I. action plan to dominate China on'The Story.' Artificial intelligence is no longer a niche tool for tech labs or science-fiction thrillers. It's now the battleground where the future of American power, prosperity, and freedom will be decided. With the release of "Winning the AI Race: America's AI Action Plan," the Trump administration is rightfully treating this moment as the 21st-century equivalent of the space race or the nuclear age. This bold strategy outlines over 90 policy actions that span three key pillars: Accelerating Innovation, Building American AI Infrastructure, and Leading in International Diplomacy and Security. Each of these pillars sends a clear message to the world: America intends to lead – not follow – on artificial intelligence. This is a race we can't afford to lose.

The administration of United States President Donald Trump has unveiled its new artificial intelligence action plan, which includes a strategy it says will boost the US standing in AI as it competes with China for dominance in the rapidly growing sector. The White House released the 25-page "America's AI Action Plan" on Wednesday. It includes 90 different policy proposals that the administration says will increase AI tools for allies around the globe. It will also promote production of new data centres around the US. It will scrap federal regulations that "hinder AI development", although it is not clear which regulations are in question.

In the field of robotics, researchers face a critical challenge in ensuring reliable and efficient task planning. Verifying high-level task plans before execution significantly reduces errors and enhance the overall performance of these systems. In this paper, we propose an architecture for automatically verifying high-level task plans before their execution in simulator or real-world environments. Leveraging Large Language Models (LLMs), our approach consists of two key steps: first, the conversion of natural language instructions into Linear Temporal Logic (LTL), followed by a comprehensive analysis of action sequences. The module uses the reasoning capabilities of the LLM to evaluate logical coherence and identify potential gaps in the plan. Rigorous testing on datasets of varying complexity demonstrates the broad applicability of the module to household tasks. We contribute to improving the reliability and efficiency of task planning and addresses the critical need for robust pre-execution verification in autonomous systems. The code is available at https://verifyllm.github.io.

While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and management challenges that can threaten system stability. We propose a framework based on MAPE-K, which leverages agentic AI, for autonomous anomaly detection and remediation to address the daunting task of highly distributed system management. Our framework offers practical, industry-ready solutions for maintaining robust and secure microservices. Practitioners and researchers can customize the framework to enhance system stability, reduce downtime, and monitor broader system quality attributes such as system performance level, resilience, security, and anomaly management, among others.