Archive 14.11.2024

Researchers are utilizing artificial intelligence to analyze the behavior of laboratory mice more efficiently and reduce the number of animals in experiments.

Most people think of coffee cups, bathroom tiles or flower pots when they hear the word "ceramic." Not so Frank Clemens. For the research group leader in Empa's Laboratory for High-Performance Ceramics, ceramics can conduct electricity, be intelligent, and even feel.

A new study from AI experts at the University of Oxford and University of Melbourne reveals that men are much more likely to support the idea of being cared for in their homes by a robot when they are infirm or elderly, than women.

New technology that enables robots to work stably in turbulent seas could make it cheaper, faster and safer to maintain offshore wind farms and tidal turbines, researchers say.

A multi-institutional trio of roboticists has designed and built a robot that mimics the abilities of the dung beetle. In their paper published in the journal Advanced Science, Binggwong Leung, Stanislav Gorb and Poramate Manoonpong outline their reasons for building it and describe how well it worked when tested.

Central to the functionality of AR devices are the optical components, which must meet stringent requirements to ensure clear, undistorted images and seamless digital overlays onto real-world environments

Mobile phones could be the key to a cheaper and more reliable way of tracking animals for ecology and conservation research, according to a new study.

This month, IBM had a briefing on its Power platform for AI, which currently is in use by over 40K users. This may not seem like a lot, but with AI failures outnumbering AI successes, it is important to look […]

The post IBM Power: Doing Hybrid by Choice appeared first on TechSpective.

Researchers have developed a robot that identifies different plant species at various stages of growth by 'touching' their leaves with an electrode. The robot can measure properties such as surface texture and water content that cannot be determined using existing visual approaches. The robot identified ten different plant species with an average accuracy of 97.7% and identified leaves of the flowering bauhinia plant with 100% accuracy at various growth stages.

PwC describes today as the “age of continuous reinvention” in its 27th Annual Global CEO Survey report. One of the most startling findings is that 45% of CEOs do not believe their company will be viable in 10 years if it stays on the current path.

On Friday 22 November, IEEE Robotics and Automation Society will be hosting an online science communication training session for robotics and AI researchers. The tutorial will introduce you to science communication and help you create your own story through hands-on activities.

Date: 22 November 2024
Time: 10:00 – 13:00 EST (07:00 – 10:00 PST, 15:00 – 18:00 GMT, 16:00 – 19:00 CET)
Location: Online – worldwide
Registration
Website

Science communication is essential. It helps demystify robotics and AI for a broad range of people including policy makers, business leaders, and the public. As a researcher, mastering this skill can not only enhance your communication abilities but also expand your network and increase the visibility and impact of your work.

In this three-hour session, leading science communicators in robotics and AI will teach you how to clearly and concisely explain your research to non-specialists. You’ll learn how to avoid hype, how to find suitable images and videos to illustrate your work, and where to start with social media. We’ll hear from a leading robotics journalist on how to deal with media and how to get your story out to a wider audience.

This is a hands-on session with exercises for you to take part in throughout the course. Therefore, please come prepared with an idea about a piece of research you’d like to communicate about.

Agenda

Part 1: How to communicate your work to a broader audience

• The importance of science communication
• How to produce a short summary of your research for communication via social media channels
• How to expand your outline to write a complete blog post
• How to find and use suitable images
• How to avoid hype when communicating your research
• Unconventional ways of doing science communication

Part 2: How to make videos about your robots

• The value of video
• Tips on making a video

Part 3: Working with media

• Why bother talking to media anyway?
• How media works and what it’s good and bad at
• How to pitch media a story
• How to work with your press office

Speakers:
Sabine Hauert, Professor of Swarm Engineering, Executive Trustee AIhub / Robohub
Lucy Smith, Senior Managing Editor AIhub / Robohub
Laura Bridgeman, Audience Development Manager IEEE Spectrum
Evan Ackerman, Senior Editor IEEE Spectrum

Sign up here.

A team of roboticists and engineers at MIT CSAIL, Institute for AI and Fundamental Interactions, has developed a generative AI approach to teaching robots how to traverse terrain and move around objects in the real world.

Linguistics and computer science researchers have discovered some of the root causes of why AI large language models perform poorly in human-like conversations.

Researchers have developed PanoRadar, a new tool to give robots superhuman vision by transforming simple radio waves into detailed, 3D views of the environment.

In the race to develop robust perception systems for robots, one persistent challenge has been operating in bad weather and harsh conditions. For example, traditional, light-based vision sensors such as cameras or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog.