Inside a lab in Boston University's College of Engineering, a robot arm drops small, plastic objects into a box placed perfectly on the floor to catch them as they fall. One by one, these tiny structures—feather-light, cylindrical pieces, no bigger than an inch tall—fill the box. Some are red, others blue, purple, green, or black.

Automotive manufacturer SPAL needed to upgrade its production line to meet changing market demands — including faster cycle times and reduced energy consumption.

"I'll have you eating out of the palm of my hand" is an unlikely utterance you'll hear from a robot. Why? Most of them don't have palms.

Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, according to a Washington State University study.

Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, according to a new study. The study, involving more than 620 lodging and food service employees, found that 'robot-phobia' -- specifically the fear that robots and technology will take human jobs -- increased workers' job insecurity and stress, leading to greater intentions to leave their jobs. The impact was more pronounced with employees who had real experience working with robotic technology. It also affected managers in addition to frontline workers.

A new advanced artificial intelligence (AI) algorithm more accurately model how genes associated with specific autoimmune diseases are expressed and regulated and to identify additional genes of risk. The method outperforms existing methodologies and identified 26% more novel gene and trait associations.

At Teradyne companies Universal Robots and MiR’s new joint headquarters in Odense, Denmark, industry execs discussed the transformative impact of AI and collaboration on robotics.

The 2024 IEEE International Conference on Robotics and Automation (ICRA) best paper winners and finalists in the various different categories have been announced. The recipients were revealed during an award luncheon at the conference, which took place from 13-17 May in Yokohama, Japan.

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IEEE ICRA Best Paper Award in Automation

Winner

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers, Anoushka Alavilli, Khai Nguyen, Samuel Schoedel, Brian Plancher, and Zachary Manchester

Finalists

• A Movable Microfluidic Chip with Gap Effect for Manipulation of Oocytes, Shuzhang Liang, Satoshi Amaya, Hirotaka Sugiura, Hao Mo, Yuguo Dai, and Fumihito Arai
• Under Pressure: Learning-Based Analog Gauge Reading in the Wild, Maurits Reitsma, Julian Keller, Kenneth Blomqvist, and Roland Siegwart
• Efficient Composite Learning Robot Control Under Partial Interval Excitation, Tian Shi, Weibing Li, Haoyong Yu, and Yongping Pan
• MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space, Ewerton Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados, Konstantin Mischaikow, and Kostas E. Bekris

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IEEE ICRA Best Paper Award in Cognitive Robotics

Winner

VLFM: Vision-Language Frontier Maps for Semantic Navigation, Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, and Bernadette Bucher

Finalists

• NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration, Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine
• Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End, Chong Zhang, Jin Jin, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena Lerma, and Marco Hutter
• Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry, Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, and Wolfram Burgard
• Learning Vision-Based Bipedal Locomotion for Challenging Terrain, Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap Van Marum, Jeremy Dao, Chanho Kim, and Alan Fern

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IEEE ICRA Best Paper Award in Robot Manipulation

Winner

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention, Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jacob Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Tamas Sarlos, Kenneth Oslund, Karol Hausman, Quan Vuong, and Kanishka Rao

Finalists

• Open X-Embodiment: Robotic Learning Datasets and RT-X Models, Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martin-Marin, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, and Alex Bewley
• Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans, Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, and Shubham Tulsiani
• Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation, Jared Mejia, Victoria Dean, Tess Hellebrekers, and Abhinav Gupta
• DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects From Flat Surfaces, Won Kyung Do, Ankush Ankush Dhawan, Mathilda Kitzmann, and Monroe Kennedy
• Constrained Bimanual Planning with Analytic Inverse Kinematics, Thomas Cohn, Seiji Shaw, Max Simchowitz, and Russ Tedrake

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IEEE ICRA Best Paper Award on Human-Robot Interaction

Winner

CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting, Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James Mccann, and Jean Oh

Finalists

• POLITE: Preferences Combined with Highlights in Reinforcement Learning, Simon Holk, Daniel Marta, and Iolanda Leite
• MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments, Junwei Zheng, Jiaming Zhang, Kailun Yang, Kunyu Peng, and Rainer Stiefelhagen
• Robot-Assisted Navigation for Visually Impaired through Adaptive Impedance and Path Planning, Pietro Balatti, Idil Ozdamar, Doganay Sirintuna, Luca Fortini, Mattia Leonori, Juan M. Gandarias, and Arash Ajoudani
• Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds, Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, and Tamim Asfour
• Supernumerary Robotic Limbs to Support Post-Fall Recoveries for Astronauts, Erik Ballesteros, Sang-Yoep Lee, Kalind Carpenter, and Harry Asada

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IEEE ICRA Best Paper Award in Medical Robotics

Winner

Exoskeleton-Mediated Physical Human-Human Interaction for a Sit-to-Stand Rehabilitation Task, Lorenzo Vianello, Emek Baris Kucuktabak, Matthew Short, Clément Lhoste, Lorenzo Amato, Kevin Lynch, and Jose L. Pons

Finalists

• Intraoperatively Iterative Hough Transform Based In-plane Hybrid Control of Arterial Robotic Ultrasound for Magnetic Catheterization, Zhengyang Li, Magejiang Yeerbulati, and Qingsong Xu
• Efficient Model Learning and Adaptive Tracking Control of Magnetic Micro-Robots for Non-Contact Manipulation, Yongyi Jia, Shu Miao, Junjian Zhou, Niandong Jiao, Lianqing Liu, and Xiang Li
• Colibri5: Real-Time Monocular 5-DoF Trocar Pose Tracking for Robot-Assisted Vitreoretinal Surgery, Shervin Dehghani, Michael Sommersperger, Mahdi Saleh, Alireza Alikhani, Benjamin Busam, Peter Gehlbach, Ioan Iulian Iordachita, Nassir Navab, and M. Ali Nasseri
• Hybrid Volitional Control of a Robotic Transtibial Prosthesis using a Phase Variable Impedance Controller, Ryan Posh, Jonathan Allen Tittle, David Kelly, James Schmiedeler, and Patrick M. Wensing
• Design and Implementation of a Robotized Hand-held Dissector for Endoscopic Pulmonary Endarterectomy, Runfeng Zhu, Xilong Hou, Wei Huang, Lei Du, Zhong Wu, Hongbin Liu, Henry Chu, and Qing Xiang Zhao

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IEEE ICRA Best Paper Award on Mechanisms and Design

Winner

Design and Modeling of a Nested Bi-cavity-based Soft Growing Robot for Grasping in Constrained Environments, Haochen Yong, Fukang Xu, Chenfei Li, Han Ding, and Zhigang Wu

Finalists

• Optimized Design and Fabrication of Skeletal Muscle Actuators for Bio-syncretic Robots, Lianchao Yang, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, and Lianqing Liu
• Lissajous Curve-Based Vibrational Orbit Control of a Flexible Vibrational Actuator with a Structural Anisotropy, Yuto Miyazaki and Mitsuru Higashimori
• Dynamic Modeling of Wing-Assisted Inclined Running with a Morphing Multi-Modal Robot, Eric Sihite, Alireza Ramezani, and Gharib Morteza

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IEEE ICRA Best Paper Award on Multi-Robot Systems

Winner

Do We Run Large-Scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling, Jonas Kuckling, Robin Luckey, Viktor Avrutin, Andrew Vardy, Andreagiovanni Reina, and Heiko Hamann

Finalists

• Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Shaohang Xu, Yi’An Wang, Wentao Zhang, Chin Pang Ho, and Lijun Zhu
• Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling, Williard Joshua Jose and Hao Zhang
• Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM, Daniel Mcgann, Kyle Lassak, and Michael Kaess
• Uncertainty-Bounded Active Monitoring of Unknown Dynamic Targets in Road-Networks with Minimum Fleet, Shuaikang Wang, Yiannis Kantaros, and Meng Guo

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IEEE ICRA Best Paper Award in Service Robotics

Winner

Learning to Walk in Confined Spaces Using 3D Representation, Takahiro Miki, Joonho Lee, Lorenz Wellhausen, and Marco Hutter

Finalists

• Censible: A Robust and Practical Global Localization Framework for Planetary Surface Missions, Jeremy Nash, Quintin Dwight, Lucas Saldyt, Haoda Wang, Steven Myint, Adnan Ansar, and Vandi Verma
• Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots, Federico Magistri, Rodrigo Marcuzzi, Elias Ariel Marks, Matteo Sodano, Jens Behley, and Cyrill Stachniss
• CoPAL: Corrective Planning of Robot Actions with Large Language Models, Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, and Michael Gienger
• CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervision, Yuxuan Luo, Zekun Wu, and Zhouhui Lian

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IEEE ICRA Best Paper Award in Robot Vision

Winner

NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System, Yunxuan Mao, Xuan Yu, Kai Wang, Yue Wang, Rong Xiong, and Yiyi Liao

Finalists

• HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration, Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach
• Deep Evidential Uncertainty Estimation for Semantic Segmentation under Out-Of-Distribution Obstacles, Siddharth Ancha, Philip Osteen, and Nicholas Roy
• SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking, Yu Lin, Zhiheng Li, Yubo Cui, and Zheng Fang
• Ultrafast Square-Root Filter-based VINS, Yuxiang Peng, Chuchu Chen, and Guoquan Huang
• Universal Visual Decomposer: Long-Horizon Manipulation Made Easy, Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, and Luca Weihs

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IEEE ICRA Best Paper Award on Unmanned Aerial Vehicles

Winner

Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing, Chao Qin, Maxime Simon Joseph Michet, Jingxiang Chen, and Hugh H.-T. Liu

Finalists

• A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario, Yuhang Zhong, Guangyu Zhao, Qianhao Wang, Guangtong Xu, Chao Xu, and Fei Gao
• Co-Design Optimisation of Morphing Topology and Control of Winged Drones, Fabio Bergonti, Gabriele Nava, Valentin Wüest, Antonello Paolino, Giuseppe L’Erario, Daniele Pucci, and Dario Floreano
• FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes, Chen Feng, Haojia Li, Mingjie Zhang, Xinyi Chen, Boyu Zhou, and Shaojie Shen
• Sequential Trajectory Optimization for Externally-Actuated Modular Manipulators with Joint Locking, Jaeu Choe, Jeongseob Lee, Hyunsoo Yang, Hai-Nguyen (Hann) Nguyen, and Dongjun Lee
• Spatial Assisted Human-Drone Collaborative Navigation and Interaction through Immersive Mixed Reality, Luca Morando and Giuseppe Loianno

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IEEE ICRA Best Student Paper Award

Winner

Optimized Design and Fabrication of Skeletal Muscle Actuators for Bio-syncretic Robots, Lianchao Yang, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, and Lianqing Liu

Finalists

• TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers, Anoushka Alavilli, Khai Nguyen, Samuel Schoedel, Brian Plancher, and Zachary Manchester
• Goal Masked Diffusion Policies for Unified Navigation and Exploration, Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models, Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martin-Martin, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, and Alex Bewley
• POLITE: Preferences Combined with Highlights in Reinforcement Learning, Simon Holk, Daniel Marta, and Iolanda Leite
• Exoskeleton-Mediated Physical Human-Human Interaction for a Sit-to-Stand Rehabilitation Task, Lorenzo Vianello, Emek Baris Kucuktabak, Matthew Short, Clément Lhoste, Lorenzo Amato, Kevin Lynch, and Jose L. Pons
• Design and Modeling of a Nested Bi-cavity- based Soft Growing Robot for Grasping in Constrained Environments, Haochen Yong, Fukang Xu, Chenfei Li, Han Ding, and Zhigang Wu
• Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Shaohang Xu, Yi’An Wang, Wentao Zhang, Chin Pang Ho, and Lijun Zhu
• Censible: A Robust and Practical Global Localization Framework for Planetary Surface Missions, Jeremy Nash, Quintin Dwight, Lucas Saldyt, Haoda Wang, Steven Myint, Adnan Ansar, and Vandi Verma
• HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration, Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach
• A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario, Yuhang Zhong, Guangyu Zhao, Qianhao Wang, Guangtong Xu, Chao Xu, and Fei Gao

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IEEE ICRA Best Conference Paper Award

Winners

• Goal Masked Diffusion Policies for Unified Navigation and Exploration, Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine
• Open X-Embodiment: Robotic Learning Datasets and RT-X, Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martin-Martin, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, and Alex Bewley

Finalists

• TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers, Anoushka Alavilli, Khai Nguyen, Samuel Schoedel, Brian Plancher, and Zachary Manchester
• POLITE: Preferences Combined with Highlights in Reinforcement Learning, Simon Holk, Daniel Marta, and Iolanda Leite
• Exoskeleton-Mediated Physical Human-Human Interaction for a Sit-to-Stand Rehabilitation Task, Lorenzo Vianello, Emek Baris Kucuktabak, Matthew Short, Clément Lhoste, Lorenzo Amato, Kevin Lynch, and Jose L. Pons
• Optimized Design and Fabrication of Skeletal Muscle Actuators for Bio-syncretic Robots, Lianchao Yang, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, and Lianqing Liu
• Design and Modeling of a Nested Bi-cavity- based Soft Growing Robot for Grasping in Constrained Environments, Haochen Yong, Fukang Xu, Chenfei Li, Han Ding, and Zhigang Wu
• Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Shaohang Xu, Yi’An Wang, Wentao Zhang, Chin Pang Ho, and Lijun Zhu
• Censible: A Robust and Practical Global Localization Framework for Planetary Surface Missions, Jeremy Nash, Quintin Dwight, Lucas Saldyt, Haoda Wang, Steven Myint, Adnan Ansar, and Vandi Verma
• HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration, Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach
• A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario, Yuhang Zhong, Guangyu Zhao, Qianhao Wang, Guangtong Xu, Chao Xu, and Fei Gao

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How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety

How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety

ChatGPT Can Now Talk With Itself — At Length

In a startling new video, ChatGPT’s maker OpenAI showcased how two smartphones running its latest AI engine can observe the world together, think about the world together and talk about the world together.

OpenAI pulled-off the demo by creating a female ChatGPT personality on one smartphone and a male personality on a second smartphone.

Both were encouraged to have a conversation about a room that the male personality could see by viewing the room through its smartphone camera.

The resulting conversation was innocent enough: The two ChatGPT personalities talked playfully about what the room looked like — and what the human in the room looked like.

And the video closed-out playfully enough as the two ChatGPT personalities sang a song together — after which the human in the room ended their interaction by ‘turning-off’ their conversation.

But one wonders what might have happened if the human had vacated the room and left the two ChatGPT personalities alone and to their own devices — free to converse privately with each other for as long as they preferred.

There’s probably a good chance that the conversation would have simply dead-ended after the two ChatGPT personalities exhausted everything they had to say about what could be seen in the room.

But there’s also probably a chance that the interaction between the two AI personalities may have continued on as ‘conversations’ on ChatGPT often do: Skipping from one idea to another, veering off in unexpected directions — and sometimes, disappearing down a rabbit hole.

Given ChatGPT’s reputation for regularly hallucinating and making-up facts to ‘keep-the-conversation-going,’ the second alternative seems very possible.

Which begs the question: If two ChatGPT personalities operating on the new ChatGPT-4o — and plugged into a wall outlet that nurtures them with unlimited electricity — are left to talk with one another indefinitely, what, exactly, might they come up with after hours, days — or even months — of conversing and hallucinating together.

One hopes, something kind.

In other news and analysis on AI writing:

*In-Depth Guide: AI Smackdown — ChatGPT-4o Plus Versus MS Copilot Pro: With AI’s development moving so fast, writer Lance Whitney decided to pit the newly upgraded ChatGPT against competitor MS Copilot Pro.

The upshot: Microsoft users looking to use AI within the Microsoft software suite — and prizing convenience — may want to opt for MS Copilot Pro.

But if you’re looking for access to the very latest and most sophisticated AI engine offered by ChatGPT — GPT-4o — you’ll want to choose ChatGPT.

*ChatGPT’s Key New Benefits for Writers: Smarter, Faster, Cheaper: Scribes can look forward to faster response times and enhanced reasoning with the latest upgrade to ChatGPT’s AI engine, according to its maker OpenAI.

Dubbed GPT-4o, the upgrade also increases the number of prompts-per-hour writers can enter into ChatGPT.

Specifically, ChatGPT Plus users can now:
~Enter 80 prompts into ChatGPT-4o every three hours
~Enter 40 prompts into ChatGPT-4 every three hours

Plus, the new upgrade — according to OpenAI — also:
~Enables you to see video on your smartphone and talk about it with you
~Enables ChatGPT to interpret, analyze and react to voice, video and text in real-time
~Offers non-paying users of ChatGPT limited access to the latest upgrade

Best Bet: For a complete rundown on the key changes ChatGPT-4o has to offer, check-out OpenAI’s extremely slick, extremely informative 26-minute video on the upgrade.

OpenAI is promising to start rolling-out ChatGPT’s new features during the next few weeks.

*Scarlett Johansson Who? ChatGPT-4o is the New, Sexy, AI Voice on the Block: One of the primary new features of ChatGPT-4o is its ability to interact with you as a kind of Siri-on-Steroids.

Demonstrated in OpenAI’s roll-out video on the upgrade, ChatGPT interacted with users as a young, sexy, intelligent woman who could:

~Respond to basic questions, voice-to-voice
~Look at video on your smartphone and comment on it
~Look at video on your smartphone of a math problem and
work with that math problem
~Look at video on your smartphone and identify your basic
emotional state
~Essentially interact with you — in a rudimentary way — like
the AI character in the movie “Her,” played by Scarlett
Johansson

Long-term, ChatGPT’s voice-to-voice upgrade could come in handy for writers interested in asking ChatGPT a few questions via voice while they’re putting a piece together.

*ChatGPT Now Has a Desktop App — Because Opening a Browser Was Just Too Hard: ChatGPT’s maker OpenAI is also promising to roll-out a new desktop app designed to make interaction with the AI much more convenient.

Availability of the new app is promised for Apple Mac devices first — with a Windows version to follow.

Key conveniences for writers offered with the new desktop app include:

~Instant prompt access to ChatGPT with a keyboard shortcut from the desktop

~Easy switching between ChatGPT’s three AI engines: GPT-3.5, GPT-4 and GPT-4o from the desktop

~Voice interaction with ChatGPT from the desktop

*Is That a Universal Translator in Your Pocket — Or Are You Just Happy to See Me?: In the latest episode of ‘Sci-Fi Becomes Real,’ a new feature rolling-out for ChatGPT enables two people speaking different languages to understand one another in real-time.

You can check-out how the feature performs under ideal conditions in OpenAI’s new, 26-minute demo video of its ChatGPT-4o upgrade.

The video depicts a young man who speaks English — who is conversing with a young woman who speaks Italian.

Between them is a smartphone running ChatGPT-4o, which voices a translation of English-to-Italian for the woman and Italian-to-English for the man — in real-time.

Fans of sci-fi first saw the concept of a ‘Univeral Translator’ introduced to the popular culture back in the 60s when Star Trek — the original series — first aired.

And many will probably be more-than-a-bit charmed to learn that such tech is now available on their smartphone.

*Choice Hacks for Better ChatGPT Prompts: New research has come up with some novel tactics to trigger ChatGPT and similar AI engines to deliver what you’re looking for.

Besides encouraging the chatbot to act like a specific kind of expert, writer Bart Ziegler recommends:

~Encouraging the chatbot to do better

~Asking the chatbot to suggest its own prompts to secure what you’re seeking

~Asking questions as if you’re a specific kind of user, such as a ‘skeptical patient’

~Being genial

~Encouraging the chatbot to be methodical

Bottom line: This piece is a great resource for anyone looking for helpful details on how to pull-off the tactics above.

*Won’t Get Fooled Again?: Add Hoodline, an AI-generated news site covering San Francisco, to the growing list of publishers who have attributed articles to ‘fake writers’ — complete with fake photos and fake bios.

Observes writer Ellen Huet: “Nina Singh-Hudson’s name sits atop a lot of articles on Hoodline, a local news site covering San Francisco.

“Until recently, there was also a smiling headshot and a bio that said Singh-Hudson was a ‘long-time writer and a Bay Area native’ who writes about ‘tantalizing tech & bustling business.’

“This isn’t true. The name is a fake one slapped atop stories generated with artificial intelligence — as are the names of her apparent colleagues at Hoodline SF: Tony Ng, Leticia Ruiz, Eileen Vargas and Eric Tanaka.”

*Google’s New ‘Summary Responses’: Click Apocalypse for Publishers?: More than a few news publishers are squirming at the news that Google is rolling-out a new feature that will sometimes offer a short, written summary in response to search engine queries — followed by the traditional blue links to click on.

The publishers fear that many Google users may be satisfied with the written summary of traditional blue search links — and bypass clicking on one or more of those links for more detail.

A fan querying, “How was Taylor Swift’s show in Austin last night,” for example, might be satisfied with a quick, written summary from Google — as opposed to clicking-through to read the full article or articles used to distill that summary.

*AI Big Picture: Guaranteed to Warm the Cockles of Your Circuit Boards: After four years of college, graduating seniors were treated to a ‘go-get-’em’ commencement speech by an unusual presenter: A robot gussied-up in the college’s official hoodie sweatshirt and a cute, blue dress.

Not everyone was impressed.

Explains Lorrie Clemo, president, D’Youville University — the institution where the AI commencement speaker made its debut: “We wanted to showcase how important technology is, and the potential for technology to really enrich the human experience.”

Counters a student petition: “As the class of 2024 reaches their commencement, we are reminded of the virtual graduations we attended at the end of our high school careers.

“The connection to AI in this scenario feels similarly impersonal. This is shameful to the 2020 graduates receiving their diplomas, as they feel they are having another important ceremony taken away.”

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.

The post Our Little Secret appeared first on Robot Writers AI.

USM has already published so many articles on Artificial Intelligence (AI).  AI is greatly impacted human interaction with machines from the recent past. Be it the travel industry, healthcare, or e-commerce AI technology is primarily stretching its arms in achieving enhanced customer experience.

Likewise, AI software and tools help business leaders make efficient business decisions quicker by processing enormous data in a matter of minutes. Herein, we would like to give a brief on:

• AI in mobile app technology
• How AI-powered apps impact smartphone usage?
• Benefits of using artificial intelligence in androids and smartphones
• Significance of mobile apps in our everyday life
• Future scope of AI in the mobile app industry

AI in Mobile App Technology

Like other sectors, AI technology in developing mobile apps also increasingly expanding beyond expectations. Most enterprises are using AI in mobile applications for generating higher sales and revenues.

With the increasing use of smartphones, AI-based app development companies are eager to launch next-level AI mobile apps to empower their customers’ businesses. Mobile applications with built-in AI capabilities offers personalized results. So, mobile users can quickly explore unlimited products and services they look for.

Moreover, the iOS and Android platforms are merging could-based AI and inbuilt AI for accelerating the technology even more.

Also Read: Why Your Business Needs A Mobile App?

Let us move on to how AI is witnessing rapid growth in mobile app technology industry.

Top five ways AI is enhancing mobile app technology

1. AI Plus IoT Technology

The future of mobile technology will be smarter with AI technology.  Industries are heavily investing in the development of innovative mobile apps. The AI and IoT-based smartphone applications create a personalized user experience. Besides, such mobile applications can gather, store, and process vast user data in real-time. It means mobile users can use the complete benefits of AI technology.

Propel your business ROI with artificial intelligence technology

2. Visual Search Engines

Artificial intelligence in mobile applications rushed a step even forward with visual search technology. Mostly, we can search for our desired product through text or even voice. But, the advancements in AI technology made it simpler.

Now you can find a product by just uploading its image. This feature is greatly useful when we don’t know the product name to buy. AI-powered Google Lens app is the best example of visual search technology. It helps you in searching for objects that you see. Compared to the text-based or voice-based search, visual search ensures accurate and faster results.

USM’s highly experience AI developers can design and develop a similar AI solution. Get in touch to know more about our AI services & solutions.

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3. Enhanced App Authentication

Artificial Intelligence in mobile technology is useful for app authentication. As technology is growing, the possible threats will also increase. It means mobile app developers should provide advanced data security using intelligent technologies like AI.  AI in mobile technology easily detects vulnerable acts by continuously monitoring user behavior.

Thus, the artificial intelligence in smartphones or androids sends alerts to the users about possible threats. It is possible by integrating Machine Learning (ML) and predictive analytics into your mobile apps.

We delivered advanced ML and analytics solutions for various banking and finance companies to mitigate the risk of illegal acts.

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4. AI Technology for real-time translation

AI technology in mobile phones helps in transforming the user speech to systems understandable text. Artificial intelligence apps in smartphones can recognize and translate languages in real-time without any internet connection. Thus, technology made everything possible and easy. AI-enabled translation tools in mobiles instantly translate words with no time.

5. Facial recognition Security   

If you are a smartphone or android user, you must aware of the face unlock feature. It is all done using AI-based algorithms. AI technology identifies users’ faces and unlocks the mobile. Thus, locking and unlocking smartphones would be faster and secure with AI technology.

Whether you realize it or not, AI has been occupying a large part of your smartphone.  Would you like to know how? Go through the below session.

• AI technology in the Camera

You know the advanced AI technology has already in the smartphone camera. Yes, it is. AI software identifies whether you capture a person’s face or any wide image. Thus, artificial intelligence in the smartphone camera app allows users to take snaps in a wider view.  Artificial intelligence also helps users to adjust filters to get the best snap with the desired shade.

Moreover, artificial intelligence on the smartphone allows users to take smart blur photos in the background while highlighting the front face. This kind of effect cannot be there in traditional camera apps. This smart photo feature is possible only by integrating AI technology into to camera app.

Overall, AI image-enhancing effects beautify photos with just simple taps on your mobile.

• AI for Mobile Voice Assistants

Artificial intelligence in a smartphone is used for providing basic virtual assistant functionalities. Siri is one of the best creation of AI. This AI-enabled speech recognition assistant provides extremely user-satisfied services. They understand your voice commands and process the same to deliver the best results that a customer looks for.

• AI for hardware

For enhancing graphic applications, smartphone manufacturers are using AI in mobile technology.  Along with increasing performance, AI-powered chips process data and request faster in a secured way.

Now, we will discuss a few popular mobile applications that feature AI in smartphones.

• Siri

Siri is one of the world’s famous AI assistant.  It allows you to manage hands-free calling, messaging on the go. With a simple command, Hey Siri, this virtual assistant to cope with your tasks.

As a leading AI mobile app development company, USM can develop an AI mobile app like Siri.

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• Google Assistant

Now, you can control all household smart appliances with Google assistant. This AI-powered virtual assistant controls compatible home devices, mobile voice searching, real-time translation, and many more.

• Cortana

It is another best AI virtual assistant app for a smartphone. Cortana app on your mobile set reminders, manage your tasks, open apps on your desktop, and much more.

These are the few of the voice-enabled virtual assistants that are empowered with artificial intelligence technology. These intelligent apps and assistants are propelling the growth of AI in the coming future.

Now, we will move on to the significance of mobile applications for businesses and individuals.

The Significance of mobile apps in our everyday life

Mobiles are no longer to be the general communication devices. With incredible features and advanced AI capabilities, mobiles are essential information gadgets for businesses and individuals too.

Nowadays, mobile apps for online shopping, e-learning, money transfers, and communication are increasingly getting popular. Thus, the best mobile app development companies are developing interacting mobile applications using AI and ML technologies.

• Mobile apps for education

 In this covid-19 pandemic, AI-education apps help in many ways. Education apps build a communication platform between students and instructors. E-books and e-learning apps give more personalized access to students.

Mobile applications for education offers-

• Personalized learning experience
• Adaptive learning with AI virtual assistants
• Automating admin tasks
• Smart e-book availability
• Smart feedback and scoring system and so on

Read more about  what AI can do for the education industry?

USM has delivered a successful e-learning app for Byju’s. This AI solution helps byju’s in sending performance reports of students to their parents. If you are providing online education services, our next-gen AI solutions for education bring your business forefront in the industry.

• Mobile apps for banking

 

AI mobile apps for banking ensures secure and hassle-free online banking services. Mobile banking applications help users pay bills and money transfers simple.

USM’s user-friendly mobile banking solutions let you make payments simple.  We also investment apps that deliver insights into customer’s investments.

• Mobile apps for e-commerce

The increasing usage of smartphones coupled with online shopping demand is an advantage for both e-commerce service providers and app developers. E-commerce apps like Amazon, eBay, Grofers, Starbucks, and many more enhance user engagement and conversation rates too.

USM’s customer-centric mobile apps for the e-commerce industry are incredible. Our AI mobile apps for e-commerce helps online retailers stay competitive in the industry. We develop mobile apps for android, iOS, and Windows platforms. Our intelligent AI solutions for e-commerce promises-

• Improved user experience
• Higher customer retention rates
• Brand awareness
• Customer satisfaction &
• Profitable lead conversion rates

Like this, mobile applications are everywhere. They play a crucial role in entertainment, communication, travel bookings, and many more. The AI mobile applications help customers search for a service, buy products, pay for products, and much more with just a finger touch.

So, we can say that AI mobile app development industry will have a flourishing future ahead.  Moreover, with the emergence of AI in mobile technology and ML technologies, enterprises are very curious to develop more user-friendly mobile apps.

Future scope of AI in mobile app industry

The ultimate goal of AI mobile apps is to provide an enhanced customer experience.  AI mobile applications offer user engagement and satisfaction.

One of the most significant benefits of AI in mobile app development services is it analyzes user behavior and fixes recommendations based on user actions. So, a business can easily send personalized text or offers for their products or services and generate positive sales all the time.

Since the app development companies are investing in AI, the mobile app industry to move around AI and ML technologies in the future.

USM develops user-oriented and most interactive mobile applications that drive increased sales to your business.

A growing number of AI mobile applications and virtual voice assistants are driving the market value of AI mobile technology. The figure below depicts the global AI technology revenue by the application.

In this way, AI is going to be widely deployed in the mobile app space.

Conclusion

Overall, we can conclude that AI on smartphone/android processes data faster, recognizes faces and scenes, provides security, assists personally, and many more. Artificial intelligence apps in mobiles bring a futuristic for smart customers.

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