At T AI citations

Here are some of the best AI surgical robotics companies: 1. {{[[Intuitive Surgical]]:https://www.intuitive.com}} : Known for the da Vinci Surgical System, which uses robotic assistance for minimally invasive surgery. 2. {{[[Medtronic]]:https://www.medtronic.com}} : Offers the Hugo™ robotic-assisted surgery platform, integrating AI for enhanced surgical precision. 3. {{[[Surgical Theater]]:https://www.surgicaltheater.net}} : Specializes in virtual reality and AI solutions for surgical planning and navigation. 4. {{[[Caresyntax]]:https://www.caresyntax.com}} : Provides a data platform that uses AI to improve surgical outcomes and operational efficiency. 5. {{[[Mazor Robotics]]:https://www.mazorrobotics.com}} : Known for the Renaissance system, which assists in spine surgery with robotic precision. 6. {{[[Zimmer Biomet]]:https://www.zimmerbiomet.com}} : Offers the ROSA® Robotics platform for orthopedic surgeries, utilizing AI for planning and execution. 7. {{[[Aurora Health Care]]:https://www.aurorahealthcare.org}} : Engages in AI-driven robotic surgery innovations, focusing on improving patient outcomes. 8. {{[[Stryker]]:https://www.stryker.com}} : Develops the Mako™ robotic-arm assisted surgery system for orthopedic procedures, leveraging AI for enhanced accuracy. These companies are at the forefront of integrating AI technologies into surgical robotics, improving precision and patient outcomes in various medical fields.

## Leading AI Surgical Robotics Companies (2025) {{[[Medtronic]]:https://www.surgicalroboticstechnology.com/news/winners-of-the-surgical-robotics-industry-awards-2025-revealed/}} : Recognized as the 2025 Outstanding Company in surgical robotics, Medtronic offers the Hugo™ robotic-assisted surgery (RAS) system for urologic, gynecologic, and general surgery, the Mazor™ robotic guidance system for spine procedures, and the Touch Surgery™ Enterprise for AI-driven surgical analytics and training[1]. Their platforms integrate advanced imaging, navigation, and AI to enhance precision and surgeon decision-making[1]. {{[[Intuitive Surgical]]:https://builtin.com/robotics/robotics-companies-roundup}} : A pioneer in the field, Intuitive Surgical’s da Vinci system remains the most widely used robotic platform for minimally invasive surgery, with millions of procedures performed globally[5]. Their newer Ion platform specializes in minimally invasive lung biopsies, leveraging advanced vision and instrumentation technologies[5]. {{[[Johnson & Johnson MedTech]]:https://intuitionlabs.ai/articles/top-20-medtech-companies-using-ai-2025}} : Johnson & Johnson MedTech is developing the Ottava™ next-generation robotic surgery platform and the Caresurgical/VELYS digital surgery systems, both powered by AI for real-time surgical data analysis and decision support[2]. A partnership with NVIDIA aims to scale AI integration for enhanced imaging and guidance during procedures[2]. {{[[Stryker]]:https://intuitionlabs.ai/articles/top-20-medtech-companies-using-ai-2025}} : Stryker’s Mako robotic-arm assisted system is a leader in orthopedic surgery, using AI to improve surgical planning and execution, particularly in joint replacement procedures[2]. {{[[Zimmer Biomet]]:https://www.nasdaq.com/articles/3-promising-surgical-robotics-stocks-keep-eye-2025}} : Zimmer Biomet is a key player in robotic-assisted orthopedic and spine surgeries, with a growing portfolio of AI-enhanced surgical systems[4]. {{[[Stereotaxis]]:https://www.nasdaq.com/articles/3-promising-surgical-robotics-stocks-keep-eye-2025}} : Specializing in robotic magnetic navigation for minimally invasive cardiac ablation procedures, Stereotaxis combines robotics and AI to improve precision in electrophysiology[4]. ## Emerging Innovators {{[[Articulus Surgical]]:https://www.startus-insights.com/innovators-guide/new-medical-robotics-companies/}} : Based in India, Articulus Surgical offers the Pulsar platform for orthopedic procedures, emphasizing real-time data, analytics, and minimally invasive techniques[3]. {{[[Re4Life Healthcare]]:https://www.startus-insights.com/innovators-guide/new-medical-robotics-companies/}} : Focused on rehabilitation, Re4Life develops AI-driven exoskeleton robots for upper extremity therapy, providing real-time feedback and adaptive exercise protocols[3]. ## Market Context The global surgical robotics market is projected to grow rapidly, driven by technological advancements and increasing demand for minimally invasive solutions[4]. High costs remain a barrier, but innovation from these companies continues to expand access and improve patient outcomes[4]. ## Key Takeaways - **Established Leaders**: {{[[Medtronic]]}}, {{[[Intuitive Surgical]]}}, {{[[Johnson & Johnson MedTech]]}}, {{[[Stryker]]}}, {{[[Zimmer Biomet]]}}, and {{[[Stereotaxis]]}} dominate the market with comprehensive, AI-integrated platforms for a wide range of surgical specialties[1][2][4]. - **Emerging Players**: {{[[Articulus Surgical]]}} and {{[[Re4Life Healthcare]]}} represent innovative startups bringing AI and robotics to niche areas like orthopedics and rehabilitation[3]. - **Industry Recognition**: {{[[Medtronic]]}} was named the 2025 Outstanding Company in surgical robotics, highlighting its leadership in innovation and global impact[1]. These companies are at the forefront of integrating AI with surgical robotics, enhancing precision, reducing recovery times, and improving surgical outcomes across multiple medical disciplines.

Here are the top AI surgical robotics companies: 1. {{[[Intuitive Surgical]]:https://www.intuitive.com/}} : Market leader in robotic-assisted surgical systems, best known for the da Vinci Surgical System. 2. {{[[Medtronic]]:https://www.medtronic.com/}} : Develops advanced surgical robotics and medical technologies with AI integration. 3. {{[[Stryker Corporation]]:https://www.stryker.com/}} : Offers robotic surgical platforms like Mako for orthopedic procedures. 4. {{[[Zimmer Biomet]]:https://www.zimmerbiomet.com/}} : Produces advanced robotic surgical systems for orthopedic surgeries. 5. {{[[Verb Surgical]]:https://www.verbsurgical.com/}} : A joint venture between Google and Johnson & Johnson focusing on advanced surgical robotics. 6. {{[[Auris Health]]:https://www.aurishealth.com/}} : Specializes in robotic platforms for minimally invasive surgeries, acquired by Johnson & Johnson. 7. {{[[Titan Medical]]:https://titanmedicalinc.com/}} : Developing next-generation surgical robotic systems with advanced AI capabilities. 8. {{[[Mazor Robotics]]:https://www.mazorrobotics.com/}} : Focuses on robotic guidance systems for spine and brain surgeries. These companies are at the forefront of integrating AI and robotics in surgical technologies, continuously improving precision and patient outcomes.

A **halter top** is a sleeveless women’s garment that ties or fastens behind the neck, leaving the shoulders, arms, and often the back exposed. The design draws attention upward, highlighting the shoulders and collarbone while offering a flattering silhouette. Halter tops are versatile—they can be casual in cotton or jersey fabrics, or elegant in silk and satin for evening wear. Popular in the 1970s disco era and resurging with Y2K fashion trends, halters are now styled with jeans, skirts, or layered pieces for both day and night looks [https://www.britannica.com/topic/halter-top](https://www.britannica.com/topic/halter-top) [https://www.masterclass.com/articles/halter-top-guide](https://www.masterclass.com/articles/halter-top-guide).

The **halter top** is one of the hottest summer fashion trends for 2025, making a strong comeback with a modern yet nostalgic Y2K vibe.[1][2] Key styles include: - Sleek and simple halter tops in neutral colors from brands like Nili Lotan and Éterne, great for a minimalist chic look. - Printed or patterned halter tops, including gingham, florals, and polka dots from labels like Reformation, Pucci, Mango, and Lioness.[2] - Different cuts like cropped halters, tie-back tops, and corset-inspired styles featured on ASOS and River Island.[3][4] - Luxurious fabrics like silk and lace for a more polished, evening-ready appearance.[2] Styling tips: - Pair halter tops with wide-leg jeans, shorts, or maxi skirts for an effortless summer outfit. - Layer over shirts or under blazers for a modern, transitional look. Popular stores and brands offering a wide range of halter tops include **ASOS, Mango, Pull&Bear, Bershka, Reformation, and Staud**.[4][3][2] This season's halter tops blend breezy comfort with bold style, making them versatile for daywear and night outs alike.[1][2] [1](https://www.elle.com/uk/fashion/what-to-wear/a65077291/halter-top-trend-2025/) [2](https://www.marieclaire.com/fashion/halter-top-trend-summer-2025/) [3](https://www.asos.com/women/tops/halter-neck-tops/cat/) [4](https://www.riverisland.com/c/women/tops?f-cat=halter-neck-tops) [5](https://www.stylist.co.uk/fashion/best-halterneck-tops-summer-fashion/513124) [6](https://www.whowhatwear.com/fashion/outfit-ideas/halterneck-top-outfits) [7](https://www.motelrocks.com/collections/halterneck-tops) [8](https://shop.mango.com/gb/en/c/women/tops_227371cd) [9](https://www.johnlewis.com/browse/women/womens-shirts-tops/halterneck/_/N-fm4Z1z0ro26)

Halter tops are a popular summer staple that tie or fasten around the neck, leaving the back and shoulders exposed. Here's what you need to know: **Types of halter tops:** - **Classic halter**: Ties behind the neck, open back - **Halter bralette**: More structured with built-in support - **Halter crop top**: Shorter length, shows midriff - **Halter blouse**: More formal, can be worn to work - **Backless halter**: Minimal back coverage for dramatic look - **High-neck halter**: More coverage in front, modern look **Styling options:** - **Casual**: With high-waisted jeans or denim shorts - **Beach/vacation**: With flowy pants or sarong - **Night out**: With a mini skirt or dressy pants - **Boho look**: With maxi skirts and layered jewelry - **Professional**: Structured halter blouse with trousers **What to consider:** - **Support**: Some have built-in bras, others require strapless/adhesive bras - **Neck comfort**: Adjustable ties are more comfortable than fixed lengths - **Tan lines**: Will create specific tan line patterns - **Occasion appropriateness**: Not suitable for all dress codes - **Body type**: Generally flattering for broader shoulders **Popular places to shop:** - **Affordable**: Target, Old Navy, H&M, Forever 21 - **Mid-range**: Zara, Urban Outfitters, Madewell, Reformation - **Swimwear brands**: Often have great halter bikini tops that work as shirts - **Boho brands**: Free People, Anthropologie for flowy styles **Care tips:** - Be gentle with tie closures when washing - Consider hand-washing delicate fabrics - Store carefully to prevent tangling of ties Are you looking for a specific style, occasion, or have questions about fit and styling?

Here are some leading AI drug discovery companies: 1. {{[[Insilico Medicine]]:https://www.insilico.com}} : Insilico Medicine uses AI for drug discovery and development, focusing on aging and age-related diseases. 2. {{[[Atomwise]]:https://www.atomwise.com}} : Atomwise employs deep learning to predict the effectiveness of potential drug compounds and has partnered with various organizations for drug discovery. 3. {{[[BenevolentAI]]:https://www.benevolent.com}} : BenevolentAI combines AI with biomedical data to accelerate drug discovery and development, particularly in complex diseases. 4. {{[[Recursion Pharmaceuticals]]:https://www.recursionpharma.com}} : Recursion utilizes AI and machine learning to analyze cellular images and discover new drugs across various therapeutic areas. 5. {{[[Exscientia]]:https://www.exscientia.ai}} : Exscientia focuses on AI-driven drug design, significantly reducing the time needed to develop new therapeutics. 6. {{[[DeepMind]]:https://deepmind.com}} : While primarily known for its work in AI, DeepMind has also applied its technology to protein folding, which is crucial for drug discovery. 7. {{[[Zebra Medical Vision]]:https://www.zebra-med.com}} : Zebra Medical Vision uses AI to analyze medical imaging data, contributing to drug discovery by identifying potential biomarkers. These companies are at the forefront of integrating artificial intelligence into the pharmaceutical industry to enhance drug discovery processes.

Here are some leading AI drug discovery companies: - **{{[[Karyon Bio]]:https://www.startus-insights.com/innovators-guide/ai-drug-discovery-companies/}}**: This US-based startup uses AI for medication discovery and diagnostics, focusing on metabolic dysfunction-associated liver diseases. It combines machine learning models with transcriptomic data and molecular biology to identify predictive biomarkers and accelerate treatment development[1]. - **{{[[Theremia]]:https://www.startus-insights.com/innovators-guide/ai-drug-discovery-companies/}}**: Based in France, Theremia develops an AI-powered platform to optimize medication derivatives for neurological illnesses by analyzing clinical, molecular, and demographic datasets[1]. - **{{[[Pfizer]]:https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations}}**: Pfizer has integrated AI into drug discovery and clinical trials, notably accelerating COVID-19 treatment development with AI-assisted partnerships[2]. - **{{[[AstraZeneca]]:https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations}}**: AstraZeneca collaborates with AI companies like BenevolentAI to enhance drug discovery and clinical trial design[2]. - **{{[[BenevolentAI]]:https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations}}**: This UK-based company specializes in AI-powered drug discovery, focusing on precise drug target selection with partnerships like AstraZeneca and Novartis[2]. - **{{[[Janssen (Johnson & Johnson)]]:https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations}}**: Janssen leads with over 100 AI projects in drug discovery and clinical trials, featuring the Trials360.ai platform[2]. - **{{[[Insilico Medicine]]:https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations}}**: Known for combining deep learning models with drug design and synthesis, Insilico Medicine accelerates drug discovery[2]. - **{{[[Roche]]:https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations}}**: Roche tops the AI readiness index in 2023, leveraging AI through strategic acquisitions and in-house innovation[2]. - **{{[[Isomorphic Labs]]:https://www.labiotech.eu/best-biotech/ai-drug-discovery-companies/}}**: As a sister company of Google DeepMind, Isomorphic Labs developed AlphaFold3, which predicts protein structures to speed up drug discovery. It has partnerships with Eli Lilly and Novartis[3]. - **{{[[Tempus]]:https://www.insideprecisionmedicine.com/topics/informatics/5-key-ai-players-leading-the-drug-discovery-push/}}**: Tempus operates at the intersection of genomics, clinical data, and AI, offering services in oncology and expanding into other areas. It has collaborated with GSK and BioNTech[4][5]. - **{{[[XtalPi]]:https://www.insideprecisionmedicine.com/topics/informatics/5-key-ai-players-leading-the-drug-discovery-push/}}**: Founded by MIT physicists, XtalPi blends quantum physics, AI, and computational chemistry to assist pharmaceutical R&D[4].

Here are the leading AI drug discovery companies: 1. {{[[Recursion Pharmaceuticals]]:https://www.recursionpharma.com/}} : A pioneer in AI-driven drug discovery using machine learning and massive biological datasets. 2. {{[[Insilico Medicine]]:https://insilico.com/}} : Utilizes generative AI and deep learning to accelerate drug design and development across multiple therapeutic areas. 3. {{[[BenevolentAI]]:https://www.benevolent.com/}} : Applies advanced AI technologies to identify novel drug targets and develop potential treatments. 4. {{[[Atomwise]]:https://www.atomwise.com/}} : Uses AI and deep learning for structure-based drug discovery and molecular screening. 5. {{[[AbCellera]]:https://www.abcellera.com/}} : Leverages AI to rapidly discover and develop antibody therapies. 6. {{[[DeepMind]]:https://www.deepmind.com/}} : Google's AI research lab has made significant contributions to protein structure prediction and drug discovery. 7. {{[[Exscientia]]:https://www.exscientia.ai/}} : Pioneers in using AI to design and optimize small molecule drugs. These companies are at the forefront of using artificial intelligence to revolutionize drug discovery, significantly reducing time and costs associated with traditional research methods.

Here are some leading AI edge computing solutions: 1. {{[[NVIDIA]]:https://www.nvidia.com/en-us/edge-computing/}} : NVIDIA provides powerful edge computing solutions with its Jetson platform, enabling AI processing at the edge for applications in robotics, smart cities, and more. 2. {{[[Microsoft Azure]]:https://azure.microsoft.com/en-us/overview/edge-computing/}} : Microsoft Azure offers Azure IoT Edge, which allows users to deploy cloud workloads, including AI, to run on IoT devices. 3. {{[[Amazon Web Services (AWS)]]:https://aws.amazon.com/edge/}} : AWS provides various edge computing services, including AWS IoT Greengrass and AWS Snowball Edge, to facilitate AI processing closer to the data source. 4. {{[[Google Cloud]]:https://cloud.google.com/edge}} : Google Cloud offers Anthos for edge computing, enabling the deployment of applications and AI models on edge devices seamlessly. 5. {{[[IBM]]:https://www.ibm.com/cloud/edge-computing}} : IBM's edge computing solutions leverage AI to enhance data processing and analytics at the edge, particularly for industries like manufacturing and healthcare. 6. {{[[EdgeIQ]]:https://www.edgeiq.co/}} : EdgeIQ provides an edge orchestration platform that simplifies the deployment and management of AI applications at the edge. 7. {{[[Cisco]]:https://www.cisco.com/c/en/us/solutions/internet-of-things/edge-computing.html}} : Cisco offers edge computing solutions that integrate AI capabilities to enhance network performance and data processing at the edge. These brands are at the forefront of AI edge computing, providing innovative solutions to meet the growing demand for real-time data processing and analytics.

Leading AI edge computing solutions are provided by several prominent companies known for their advanced hardware, software platforms, and AI integration capabilities: {{[[Nvidia]]:https://telcomagazine.com/top10/top-10-edge-computing-companies}} offers high-performance, energy-efficient AI solutions for decentralized environments, including Jetson for embedded AI, EGX for enterprise, and IGX for industrial and medical use cases. Their Metropolis framework accelerates vision AI at the edge, and their CUDA software stack supports rapid AI development, targeting robotics, autonomous vehicles, and smart infrastructure. {{[[Google Cloud (Alphabet)]]:https://telcomagazine.com/top10/top-10-edge-computing-companies}} provides edge computing through its Google Distributed Cloud (GDC) portfolio, built on Anthos, enabling consistent deployment of containerized applications across hybrid and edge environments. Google leverages its AI, Kubernetes, and data orchestration expertise to support low-latency AI workloads in sectors like retail and telecom. {{[[Microsoft]]:https://aimagazine.com/top10/top-10-ai-companies-2025}} integrates AI across its Azure cloud and productivity tools, with significant investment in AI-enabled data centers. Its Azure OpenAI Service and Copilot suite enhance enterprise AI adoption, competing directly with Google and Amazon in edge AI. {{[[Cisco Systems]]:https://www.crn.com/news/ai/2025/the-25-hottest-ai-companies-for-data-center-and-edge-the-2025-crn-ai-100}} is a key player in networking infrastructure for edge AI, supporting AI-driven enterprise networks and 5G edge deployments. {{[[AMD]]:https://www.crn.com/news/ai/2025/the-25-hottest-ai-companies-for-data-center-and-edge-the-2025-crn-ai-100}} leads with AI-focused server processors and GPUs, such as the Instinct MI350, targeting AI workloads at the edge and in data centers. {{[[Arm]]:https://exoswan.com/edge-ai-stocks}} provides the foundational IP for billions of edge AI chips used in devices like wearables, appliances, and automotive systems, making it a critical enabler of edge AI hardware. {{[[NXP Semiconductors]]:https://exoswan.com/edge-ai-stocks}} specializes in automotive and industrial AI chips with integrated AI acceleration and connectivity, recently enhanced by acquiring Kinara’s neural processing technology for efficient edge AI platforms. Among startups and emerging companies, {{[[Edge Signal]]:https://stlpartners.com/articles/edge-computing/50-edge-computing-companies-2025/}} offers AI-driven edge computing solutions with native Large Language Model capabilities and advanced real-time analytics for telcos and enterprises, focusing on scalable, secure edge infrastructure. Other notable startups include {{[[SparkCognition]]:https://www.seedtable.com/best-edge-computing-startups}}, {{[[Latent AI]]:https://www.seedtable.com/best-edge-computing-startups}}, {{[[Edge Delta]]:https://www.seedtable.com/best-edge-computing-startups}}, and {{[[Skydio]]:https://www.seedtable.com/best-edge-computing-startups}}, which provide AI and machine learning platforms, cybersecurity, observability automation, and AI-powered drones respectively. These companies collectively represent the forefront of AI edge computing, combining hardware innovation, cloud-edge integration, AI software frameworks, and specialized AI accelerators to enable intelligent, low-latency processing at the network edge.

Leading AI edge computing solutions include: 1. {{[[NVIDIA]]:https://www.nvidia.com/en-us/edge-computing/}} : Offers powerful AI edge computing platforms like the NVIDIA Jetson and EGX series, enabling high-performance AI inference at the network edge. 2. {{[[Intel]]:https://www.intel.com/content/www/us/en/edge-computing/overview.html}} : Provides AI edge solutions through Intel Xeon processors, OpenVINO toolkit, and specialized hardware like the Intel Neural Compute Stick. 3. {{[[Google]]:https://cloud.google.com/edge-computing}} : Delivers AI edge computing capabilities through Google Cloud IoT Edge and Coral hardware platforms for machine learning at the edge. 4. {{[[Amazon Web Services]]:https://aws.amazon.com/outposts/}} : Offers AWS Outposts and AWS Wavelength for deploying AI and machine learning workloads closer to data sources. 5. {{[[Microsoft]]:https://azure.microsoft.com/en-us/solutions/edge-computing/}} : Provides Azure Stack Edge and Azure IoT Edge for running AI and machine learning models in distributed environments. 6. {{[[Qualcomm]]:https://www.qualcomm.com/research/artificial-intelligence}} : Develops AI-optimized Snapdragon platforms for edge devices with integrated machine learning capabilities. These solutions enable real-time AI processing, reduced latency, enhanced privacy, and improved performance across various industries like manufacturing, healthcare, and autonomous systems.