Category robots in business

Page 9 of 430
1 7 8 9 10 11 430

Smallest walking robot makes microscale measurements

Cornell researchers in physics and engineering have created the smallest walking robot yet. Its mission: to be tiny enough to interact with waves of visible light and still move independently, so that it can maneuver to specific locations—in a tissue sample, for instance—to take images and measure forces at the scale of some of the body's smallest structures.

AI Jesus

Now Hearing Your Confession

It was only a matter of time: A chapel in Lucerne, Switzerland has a new clergy member hearing confessions: AI Jesus.

Simply enter the confessional, press a button and pour your heart out — in question form — to the AI Jesus listening on the other side of the screen.

Observes writer Natasha Lomas: “The tech, developed at the local university, is described by the chapel’s theologian as an experiment intended to spark discussion.

“He points out one advantage: AI can be available 24/7, unlike human pastors.”

Mercy me.

In other news and analysis on AI writing this week:

*In-Depth Guide: Easy Peasy Tutorial on How To Build AI Agents With Microsoft: Fans of Microsoft Copilot — a ChatGPT competitor — who are looking for an easy way to start building agents can find an extremely clear, lucid tutorial at this link.

Heralded as AI’s Next Big Thing for 2025, agents are like AI employees that you design to fill familiar work roles such as receptionists, research assistants, customer service representatives — and virtually every other work role you can imagine.

Their secret sauce: Once programmed, these AI employees can work autonomously for you in the work roles you assign them, 24/7, sans supervision.

Even better, once you create your agent, you can share it for use with colleagues using Microsoft products by simply sending them a link to the agent.

*First Take on the Claude Chatbot’s New AI Agent Builder: Not Bad: A new study finds that the new agents — or AI employees — that you can build with ChatGPT-competitor Claude are working fairly well.

Observes writer Ben Dickson: “In general, Claude did a great job of carrying out complex tasks.

“It was able to reason and plan multiple steps needed to carry out a task, perform the actions and evaluate its progress every step of the way.”

“However, it also tends to make trivial mistakes that average human users would easily avoid.”

Stay tuned.

*Google Joins the AI Agents Arms Race: Apparently also convinced that global business will not be able to get enough of building AI employees once they get the hang of it, AI titan Google has joined the AI agent fray.

Dubbed ‘AI Agent Space,’ Google’s own agent ecosystem was designed to enable businesses to “discover, deploy,and co-create AI agents designed to automate tasks, enhance customer experiences and optimize operations,” according to writer Carl Franzen.

“Google’s marketplace model ensures that businesses can choose from a variety of pre-built agents or work with partners to create custom solutions and optimize operations,” Franzen adds.

*Google Gemini’s New Memory for Your Preferences: Even Better Than Your Nosy Bestie?: Select users of ChatGPT-competitor Google Gemini can now tweak the AI chatbot to remember certain facts to ensure the AI engages with a more informed frame-of-reference.

Observes writer Kyle Wiggers: “Like ChatGPT’s memory, Gemini’s adds context to the current conversation.

“For example, tell Gemini to remember foods you like and the next time you ask the bot for restaurant recommendations, it might tailor its suggestions to your culinary leanings.”

*ChatGPT on Your Windows Desktop Free: Like Clippy, But With Attitude: Even free users of ChatGPT can now put the AI on their Windows desktop now — saving them the bother of logging-in via browser.

Already available to paying users of ChatGPT for a few months now, the desktop app works with Windows 10 and Windows 11 and is available for download.

Observes writer Lance Whitney: “I tried it once with my subscriber account and again with a free-tier account and the program launched just fine both ways.”

*English Teacher Goes Full ChatGPT, Chaucer Turns Over in His Grave: While student use of ChatGPT promises to remain hotly debated for the foreseeable future, at least one English teacher has decided she’s all-in.

San Diego high school teacher Jen Roberts reasons that students need in-depth experience with AI like ChatGPT, given that many employers are now demanding AI skills.

Observes Roberts: “I saw the influence in their writing when they were getting that immediate feedback (from AI on their writing).

“The growth was tremendous. Their engagement was higher.”

*AI-Written Police Reports: Speedy, Slick — And Slightly Suspect?: It appears that police reports agonizingly typed with the hunt-and-peck method are going the way of the Dodo bird.

Increasing numbers of police departments across the U.S. are turning the task over to AI chatbots instead, according to writer Barbara Booth.

Observes Booth: “Police officers have been impressed by the results, drafting reports in as little as 10 seconds.

“Yet legal experts are raising concerns over accuracy, transparency and potential bias — challenges that could significantly shape the future of AI both in policing and in the courtroom.”

*For Many Young Pros, Success Now Runs on Algorithms: A new study finds that ambitious young workers — 22-to-39-year-olds who are leaders or aspire to be leaders at work — have enthusiastically embraced AI.

Specifically, 82% of those workers are already using AI at work.

And 98% of them believe AI will have a significant impact on their workplace or industry in five years.

*AI Big Picture: Expert: AI Needs A Seat At Trump’s Table: AI expert Gary Marcus says that without cabinet-level representation for AI in President-Elect Trump’s administration, we’ll simply be rolling the dice and hoping for the best.

Observes Marcus: “The nature of these systems is that we can’t give them simple instructions and assume that they will follow them.

“If you tell them, ‘Don’t hallucinate,’ they’re still going to hallucinate.

“If you tell them, ‘Don’t do anything harmful’ or ‘Don’t recommend anything that’s harmful to humans,’ they still will.

“People have tried to build guardrails, but the guardrails are not very effective.”

Share a Link:  Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.

Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.

Never Miss An Issue
Join our newsletter to be instantly updated when the latest issue of Robot Writers AI publishes
We respect your privacy. Unsubscribe at any time -- we abhor spam as much as you do.

The post AI Jesus appeared first on Robot Writers AI.

Robot Talk Episode 100 – Mini Rai

Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.

Mini Rai is the founding Director of Orbit Rise Ltd and an honorary Professor at the University of Lincoln. Previously, she was the Global Chair in Robotic Engineering at the University of Lincoln and an Associate Professor at the Surrey Space Centre. Mini has over 27 years of research and innovation experience in Space Engineering and Technology. With deep-rooted expertise in robotics, automation, control and systems engineering, she has led a large and diverse portfolio of national and international programmes on space robotic missions, spanning orbital and planetary robotics.

Novel framework can create egocentric human demonstrations for imitation learning

One of the most promising approaches to teaching robots how to complete manual tasks such as cleaning dishes or preparing food is known as imitation learning. End-to-end imitation learning typically entails training a deep learning algorithm on raw videos, images and/or motion capture data of humans completing manual tasks.

Intelligent swarm: Working in a team is also relevant for drones

Uncrewed aerial vehicles (UAVs), commonly known as drones, are omnipresent and have grown in popularity due to their wide potential use in many civilian sectors. Equipped with sophisticated sensors and communication devices, drones can potentially form a multi-UAV system, also called a swarm.

Inside the ‘swat team’ — how insects react to virtual reality gaming

Humans get a real buzz from the virtual world of gaming and augmented reality but now scientists have trialled the use of these new-age technologies on small animals, to test the reactions of tiny hoverflies and even crabs. In a bid to comprehend the aerodynamic powers of flying insects and other little-understood animal behaviors, the study is gaining new perspectives on how invertebrates respond to, interact with and navigate virtual 'worlds' created by advanced entertainment technology.

Researchers highlight Nobel-winning AI breakthroughs and call for interdisciplinary innovation

A new article examines the convergence of physics, chemistry, and AI, highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing the role of interdisciplinary research in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general intelligence.

Integrated multi-modal sensing and learning system could give robots new capabilities

To assist humans with household chores and other everyday manual tasks, robots should be able to effectively manipulate objects that vary in composition, shape and size. The manipulation skills of robots have improved significantly over the past few years, in part due to the development of increasingly sophisticated cameras and tactile sensors.

The future of edge AI: Dye-sensitized solar cell-based synaptic device

Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered dye-sensitized solar cell-based device that mimics human synaptic behavior for efficient edge AI processing, inspired by the eye's afterimage phenomenon. The device has light intensity-controllable time constants, helping it achieve high performance during time-series data processing and motion recognition tasks. This work is a major step toward multiple time-scale PRC.

The next evolution of AI begins with ours

The genome has space for only a small fraction of the information needed to control complex behaviors. So then how, for example, does a newborn sea turtle instinctually know to follow the moonlight? Neuroscientists have devised a potential explanation for this age-old paradox. Their ideas should lead to faster, more evolved forms of artificial intelligence.
Page 9 of 430
1 7 8 9 10 11 430