Surgical robotics: Why motion architecture matters more than ever
Surgical robotics has evolved, expanding into a diverse ecosystem of procedure‑specific technologies — each pushing new technical requirements onto the motion systems at their core. The post Surgical robotics: Why motion architecture matters more than ever appeared first on The Robot Report .
Could not retrieve the full article text.
Read on Robotics Business Review →Robotics Business Review
https://www.therobotreport.com/surgical-robotics-why-motion-architecture-matters-more-than-ever/Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
report
Moltbook risks: The dangers of AI-to-AI interactions in health care
A new report examines the emerging risks of autonomous AI systems interacting within clinical environments. The article, "Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook," appears in the Journal of Medical Internet Research. The work explores a critical new frontier: as high-risk AI agents begin to communicate directly with one another to manage triage and scheduling, they create a "digital ecosystem" that can operate beyond active human oversight.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Reviewing the evidence on psychological manipulation by Bots and AI
TL;DR: In terms of the potential risks and harms that can come from powerful AI models, hyper-persuasion of individuals is unlikely to be a serious threat at this point in time. I wouldn’t consider this threat path to be very easy for a misaligned AI or maliciously wielded AI to navigate reliably. I would expect that, for people hoping to reduce risks associated with AI models, there are other more impactful and tractable defenses they could work on. I would advocate for more substantive research into the effects of long-term influence from AI companions and dependency, as well as more research into what interventions may work in both one-off and chronic contexts. ----- In this post we’ll explore how bots can actually influence human psychology and decision-making, and what might be done t
b8631
sync : ggml macOS/iOS: macOS Apple Silicon (arm64) macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.2) Ubuntu x64 (OpenVINO) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.1 DLLs Windows x64 (Vulkan) Windows x64 (SYCL) Windows x64 (HIP) openEuler: openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph)
b8634
chat : add Granite 4.0 chat template with correct tool_call role mapping ( #20804 ) chat : add Granite 4.0 chat template with correct tool_call role mapping Introduce LLM_CHAT_TEMPLATE_GRANITE_4_0 alongside the existing Granite 3.x template (renamed LLM_CHAT_TEMPLATE_GRANITE_3_X ). The Granite 4.0 Jinja template uses XML tags and maps the assistant_tool_call role to assistant . Without a matching C++ handler, the fallback path emits the literal role assistant_tool_call which the model does not recognize, breaking tool calling when --jinja is not used. Changes: Rename LLM_CHAT_TEMPLATE_GRANITE to LLM_CHAT_TEMPLATE_GRANITE_3_X (preserves existing 3.x behavior unchanged) Add LLM_CHAT_TEMPLATE_GRANITE_4_0 enum, map entry, and handler Detection: + ( or ) → 4.0, otherwise → 3.x Add production Gr
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!