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Google I/O day 2 highlights: 3 latest technologies for VR and AR

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Day 2 of Google I/O 2017 has completed. We’ve got all of the details on day 2 rounded up just in case you happened to miss anything. Mostly  Keynote speech and bigger announcements happened on the first day.

There were multiple tracks on the second Day of I/O and we chose to focus on the AR/VR related topics.

Google is working on the whole spectrum on Reality as we know. From Real world problem solutions to using AR for enhancing real world environments and VR to complete virtual experience of the real world.

Google Tango

This is a very interesting project building on the AR capabilities for Smartphones. Google calls it WorldSense. It uses SLAM( Simultaneous Localisation and Mapping). The smartphone AR powered by Tango has Depth sensing, wide angle tracking camera and relocalisation capabilities. This allows greater capabilities for AR/VR developers. This technology can provide you with directions indoors and combined with AR, it can also create things which aren’t there.

Expeditions AR

This is the new version of the earlier Expeditions VR experience Google launched a few years ago. It is powered by the virtual positioning system. The VPS you to navigate through a store with the help of Tango — combined with image recognition systems that can track where you are. It enhances the interaction with the real world with low latencies. Developers can also build these AR Expeditions.

Daydream

Google calls its VR program, Daydream. Daydream 2.0, Euphrates, comes with support for standalone headsets.
In Euphrates, the focus is on standalone support and sharing the VR experience. Three important features showcased are
  • Software support for standalone headsets
  • Making VR content front and centre
  • Making it easy to share your VR exp
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Some Google VR capable devices are already available in the market from ASUS, Motrola with some more slated to come from Samsung.

 VR/AR developer tools

Google announced new tools to take advantage of the new platforms.

Instant Preview –

Allows Faster iteration — Google wants to speed up iteration times for building VR apps. With Instant Preview, which is deeply integrated into the editor and mobile device, developers can now make changes and see them in VR right away. No need to wait minutes to recompile an application.

Immersive web —

WebVR , brings the full Chrome browser to VR, using the Daydream controller. Google is also building WebAR into the browser. That way, you can preview what a new coffee table would look like on your phone — and it would know what actually fits between your couch and table.

Seurat for High fidelity graphics—

What you can render in real time depends on the amount of power you have available.” On mobile, you can’t get desktop-quality graphics.  A new tool for simplifying 3D scenes so they still look great but only need a little bit of rendering power compared to the full scene. It will bring cinema level quality to desktop graphics.

 For more updates, stay tuned for Day 3.
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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden