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How do people like to interact with robots when navigating a crowded environment? And what algorithms should roboticists use to program robots to interact with humans?

How do people like to interact with robots when navigating a crowded environment? And what algorithms should roboticists use to program robots to interact with humans? These are the questions that a team of mechanical engineers and computer scientists sought to answer in a recent study.

One thing robot researchers are trying to mechanize is the human sense of touch. Sheeraz Athar, one of She’s PhD students, is changing the game by re-thinking how touch works.

Artificial intelligence (AI) chatbots have frequently shown signs of an 'empathy gap' that puts young users at risk of distress or harm, raising the urgent need for 'child-safe AI', according to a new study. The research urges developers and policy actors to prioritize AI design that take greater account of children's needs. It provides evidence that children are particularly susceptible to treating chatbots as lifelike, quasi-human confidantes, and that their interactions with the technology can go awry when it fails to respond to their unique needs and vulnerabilities. The study links that gap in understanding to recent reports of cases in which interactions with AI led to potentially dangerous situations for young users.

Engineers have developed a new soft, flexible device that makes robots move by expanding and contracting -- just like a human muscle. To demonstrate their new device, called an actuator, the researchers used it to create a cylindrical, worm-like soft robot and an artificial bicep. In experiments, the cylindrical soft robot navigated the tight, hairpin curves of a narrow pipe-like environment, and the bicep was able to lift a 500-gram weight 5,000 times in a row without failing.

Northwestern University engineers have developed a new soft, flexible device that makes robots move by expanding and contracting—just like a human muscle.

Series A funding values Skild AI at $1.5B. Round led by Lightspeed Venture Partners, Coatue, SoftBank Group and Bezos Expeditions. Company founded by pioneers in the field of self-supervised and adaptive robotics.

Mecademic’s plug-and-play micro-automation robots are designed for precision applications in areas such as component manufacturing. To give its robots the required sense of touch, Mecademic has focused on perfecting the use of force torque sensors from Bota Systems.

An inverter is a device to change DC current to AC. It can be used for example to run devices during electric outages or remote areas without electrical service. For example at a remote area if you have solar panel to supply electricity, it would be a DC voltage. You need an inverter to modify this current to an AC current, to power your tools, devices, appliances or equipment, most of which are made to run on AC current, due to its inherent efficiency over DC current when transmitting electricity to power or homes, offices and factories.

An inverter changes the DC current direction, to match the sinusoidal waveform and frequency (as in 50 Hz) of an AC current.

In one sentence, how does an inverter work?

An inverter, has especially arranged paths of current to flow, and does this conversion by rapidly turning on and off the switches on these paths to generate current in wave form, (AC), from steady current (DC).

The components used in an inverter typically are:
Capacitors: They are a passive component of a circuit, which store and release energy when needed in order to smooth out fluctuations.
Transistors: Acts as an on or off switch to control the output
Inductors: Also a passive component like capacitor, an inductor helps stabilizing current and voltage fluctuations, working together with capacitors, by complementing each other.
Controller: It controls the on and off status if switches in a desired pattern, to generate the frequency of AC current we want.

Note that, above we said capacitors and Inductors both help stabilize voltage and current. So how do they exactly differ here, in other words why do we need both ?

Capacitors and Inductors basically complement each other here, for overall efficiency and stability of the circuit.

Capacitors store energy in their electric field. This makes them inherently good for dealing with abrupt voltage changes or fluctuations in other words, voltage regulation, to maintain steady voltage. This change can happen quickly because capacitors have low impedance at high frequencies, and this makes capacitors good at filtering high-frequency noise.

On the other hand inductors are very good at dealing with current changes because they store energy in their magnetic field during current flow. When the current changes, it is countered by the already existing current because of the magnetic field of the inductor, which tends to resist this change at first, and then gradually, smoothly allows it. In other words, inductors are used in current regulation to maintain a steady output of current. This ensures that unstable loads and current spikes are prevented. Because of the inherent slow synchronization nature of inductors with changes in current, in other words because inductors have low impedance at low frequencies, they are good at filtering low frequency noises.

Therefore, together, capacitors and inductors filter noise in voltage and current and smooth those out. This improves the efficiency of the inverter, significantly reduce power losses and ensures that the inverter can deliver stable voltage and current, which is safe to use.

Artificial Intelligence in Human Resource Management

The success of a company always depends on two things including a skilled workforce and efficient business strategies. Without a proper vision, you can’t achieve business targets, and of course without a dedicated workforce also a business can’t progress well in the market. Am I right?

 

 

This was the reason why most of the companies both SMEs and organizations, or MNCs are always looking to hire the right talent to meet their objectives or project goals.

In this ever-changing world, human resources (HR) have been facing various challenges in hiring the right candidate to fulfill the skill gap. Now, it is the Artificial intelligence (AI) world. Organizations are implementing AI strategies to manage their HR-related tasks more efficiently than before.

AI experts believe that proper employee engagement is the best way to retain the workforce and thus increase productivity and the revenue of the company by nearly 26%. From the number, we can understand how AI solutions for HR management are important to strengthen the whole team and able to get long-term advantages.

AI technologies in the HR industry have reached a new level and giving unbelievable benefits to the business. Artificial intelligence provides unlimited opportunities to advance HR functions like selecting, recruiting, hiring, reporting, payroll, etc.

The executives of human resources believe that the integration of Artificial Intelligence and HR administration will provide improved candidate experience.

In this blog, we have explained top 5 ways to utilize Artificial Intelligence in HR management.
Let’s Start!

Recommend: How Artificial Intelligence (AI) Will Renovate Traditional Hiring Process?

Role Of AI In Human Resource Management

The role of AI In HR Management is incredible. AI apps are assisting the HR team to handle their tasks more efficiently and improving their performance level ever like before. Here are a few significant applications of AI in Human Resources.

Significant Applications Of Artificial Intelligence (AI) In HR

AI in Human Resources has the tremendous potential to make all your HR functions automate and seamless. The use of AI in Human Resources (AI in the recruitment process) automates the recruitment workflow and saves a lot of time. Here are the possible applications of AI in HR. Let’s see how AI in HR offers miracles for HR management.

How AI Is Transforming HR Management?

How is AI Used in Human Resources?

You might have this question in your mind if you are ahead to hire the best mobile app development company USA, India, UAE for AI-powered HR management solution development.

#1. Talent Acquisition

The impact of Artificial Intelligence on HR practices will be flourishing and it is the best business case for AI in the HR industry. The role of AI in HR management for finding and shortlisting candidate profiles is one of the best possible applications of AI in HR.

HR managers can reduce or eliminate time spent on performing repetitive tasks with the help of AI technology. AI-enabled talent acquisition apps or software can read, scan, select candidate profiles, and eradicate 75% of the burden in the process of manual searching for recruitment.

Furthermore, the role of AI in HR in 2022 also allows recruiters to analyze and evaluate the performance of the candidates deeply. In such situations, HR teams can enhance the quality of the hiring decision tremendously. Hence, the organizations can save a lot of time as well as costs spent on acquiring talent.

Recommend: Top Recruiting and Hiring Trends To Know

#2 Onboarding At The Right Time

If you ask me how is Artificial Intelligence used in Human Resources, then quick onboarding at the right time is my answer.

Onboarding employees that you hired at the right time as scheduled is one of the difficult challenges for the HR people. Because there are N number of situations where the employees you hired and released offer letter will reject to join as you scheduled.

But, the implementation of AI in Human Resources makes systems more efficient and intelligent to streamline the onboard process. AI in HR is widely used for being in connection with the resources digitally and optimizes the onboarding process.

#3 Flexible Personalized Training

The impact of AI in Human Resources is far away from what we are expecting. Driven by the advancements in mobile app development technologies, organizations are beneficial to get more interactive and intelligent applications.

AI technology helps the HR team to analyze the technical capabilities of employees and helps them to update with the current skill gap in the team. AI in HR offers personalized training recommendations to employees and makes them ready to use and get expertise in the technology.

#4 Performance Analysis

With the help of AI tools, it is easy to manage the behavior and analyze the performances of each employee. HR managers utilize AI tools and set strong goals and track the performance of teams and individuals. This would be helpful for HRs for appraisals. The use of AI in Human Resources Management in this type of work results in better productivity and overall results.

#5 Employee Retention

The role of AI in HR Management has a great impact on improving employee retention. Yes, it is very tough to hire a perfect candidate, but it is tougher to keep them in a team for a long period. That’s why nearly 60% of organizations think that employee retention is one of the biggest challenges. But, Artificial intelligence can address employee issues and let them retain for the long run.

Recommend: How Artificial Intelligence Meets HR Requirements?

These are a few important and possible applications of AI in HR. Besides of above-discussed applications, AI is used in so many ways in modernizing the HR functions.

Why Human Resource Still requires People Despite These AI Strengths?

From the above discussions, we come to know that Artificial intelligence is excellent and AI tools can complete all the tasks faster and efficiently than human beings. To automate different tasks of HR, artificial intelligence is the best and valuable technology.

However, human intelligence will also be required to make final decisions to find innovative ways that keep the employees engaged in work. AI tools cannot engage employees as the HR team does. Artificial intelligence is an advanced tool that can give HR team members more time to know their staff needs, the culture of the company and solve the crucial issues.

Overall, we can say that artificial intelligence helps the HR team to make the workplace more efficient and productive.

Conclusion

Finally, AI in HR or Artificial Intelligence in HR is a boom in the market. Since the role of AI in HR Management is going to occupy a complete space in the HR management industry, AI apps development for HR management has a bright scope in the future.

USM, a top #mobile app development company, has approximately 20+ years of experience in offering results-rich AI-based staff augmentation solutions for businesses across diversified verticals. We are specialized in providing RPO services, contingent workforce services, and full-time or permanent staffing services. Believe us, our AI-powered hiring solutions let your HR teamwork more productively.

Are you looking to develop a dedicated HRMS solution to streamline your HR functions?

Get in Touch with USM.

We ensure the best talent and onboard them at the right time.

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Taking inspiration from the animal kingdom, Flinders University researchers are developing affordable, flexible and highly responsive 'whiskers' to attach to robots. Their article, "Optimising electromechanical whisker design for contact localisation," has been published in the journal Sensors and Actuators A: Physical.

Industrial robot adoption is reaching new heights as manufacturers embrace Industry 4.0 initiatives. As beneficial as this movement is, it has led to some unexpected challenges for the sector. Most notably, robots are becoming a common target for cyberattacks.

Courtesy ChatGPT and Grammarly

Among ChatGPT’s myriad editorial skills is its ability to proofread your text at an extremely high level of proficiency.

And if all you’re looking for is an occasional proofread, you’ll find you can get help from ChatGPT — combined with similar AI tools — for free.

I began using ChatGPT as a back-up proofer for my primary proofreading tool — Grammarly — after I saw it consistently catching errors in text that Grammarly was missing.

Granted, the errors ChatGPT catches are generally minuscule (Grammarly really is an excellent proofreading tool, among its many other charms).

But sometimes, ChatGPT does catch outright misspellings that simply fly by Grammarly.

And on average, I find that ChatGPT spotlights about one-to-three errors that are missed by Grammarly per one thousand words of text.

One of the great beauties of creating a proofreading prompt for ChatGPT (a sample of one of mine follows) is that you can design it to do proofreading exactly as you prefer.

My proofer prompt, for example, instructs ChatGPT to retype the entire text it’s proofing, highlight each error it finds in bold, offer a suggested correction — and then explain its rationale for making each correction.

That may be overkill for some people.

But I prefer double-checking ChatGPT’s work myself and being given a sound reason for making a change — rather than simply trusting ChatGPT to ‘correct’ my text with no oversight.

I also greatly appreciate that I can add new rules to my ChatGPT proofer — or take some rules away — by simply changing a few words in the prompt.

And I really like the fact that my proofer grows more powerful with every upgrade of ChatGPT’s software.

For example: The ChatGPT proofer I use most (below) is more powerful and more meticulous in its proofreading when used with the most advanced version of ChatGPT — ChatGPT 4o — as compared to its use with previous versions of ChatGPT.

As with many things ChatGPT, your success designing a proofer hinges mightily on the precise wording of your prompt.

Sure, you can design a proofer with something simple like: “You are an expert proofreader. Please proofread the following text and highlight the errors in bold.”

But I’ve had better luck using a longer prompt that spells out — in excruciating detail — exactly what I’m looking for.

For example: In addition to asking for an error scan, I also ask ChatGPT to be meticulous as it’s scanning, to focus intensely on its task, to get extremely granular in its inspection (such as identifying correct placement of periods) and similar.

But simultaneously, I’m also careful not to overload ChatGPT with too many different kinds of requests in a single prompt — which can needlessly slow down ChatGPT, or even confuse it entirely.

As previously indicated, if you’re only looking to do some occasional proofreading, you can do so for free using ChatGPT and other tools and still enjoy a high level of performance.

For example: You can sign-up for Grammarly’s free version, which will do a basic, highly effective proofread of your text at absolutely no charge.

And then you can head over to ChatGPT, where you can double-check Grammarly’s work using free, limited access to ChatGPT’s most advanced AI engine, ChatGPT 4o.

Granted, you can only input about 15 prompts every three hours using ChatGPT-4o’s free version.

But if you only have a few documents to double-check for proofing, you’re all set.

For more extended, free proofing, you can also use Grammarly in combination with Gemini Advanced — Google’s direct competitor to ChatGPT-4o.

The reason: Gemini Advanced is based on the same genre of AI technology that powers ChatGPT. So a prompt developed for use with ChatGPT will also work flawlessly with Gemini Advanced.

Plus, Gemini Advanced currently offers an extremely generous, two-month free trial.

So chances are, you can theoretically proof an entire book if you so desired — over time — just using Grammarly’s free version, in concert with the Google Gemini Advanced’s free trial.

Another bonus: Given that the lion’s share of AI writers/tools on the market right now use the same genre of AI technology as ChatGPT and Gemini Advanced, you can also use any prompt initially developed for ChatGPT in any other AI tool based on the same genre of AI tech, including:

Jasper

Sudowrite

Anyword

INK

Scalenut

Neuraltext

Writesonic

Wordtune

Sapling

Notion Labs

Copy.ai

Rytr

Chibi AI

Surfer

Article Forge

WordAI

AI Writer

Hypotenuse AI

Longshot

CreaitorAI

CopySmith

OpenAI

Writer

GrowthBar

Closerscopy

ParagraphAI

Frase

A final tip before we take a look at a sample proofer: It’s always best to design your proofer as a stand-alone prompt — followed by a second prompt that you use to actually input the text you want proofed.

This technique ensures that you’re not giving ChatGPT too many words and/or too much data to process in any one prompt.

Even better: Inputting your text in a second prompt also expands the number of words ChatGPT will proofread for you, given that ChatGPT can only process and understand so many words in any given prompt.

In any event, here’s one of the homespun proofers I use when I’m proofing with Grammarly and I’m looking for ChatGPT to do an extremely granular double-check of Grammarly’s work:

Joe Dysart’s Proofer Prompt:

[You are a seasoned, award-winning expert in proofreading. Please conduct a meticulous, line-by-line proofread of text that I will provide you in the next prompt.

Focus intensely on the following aspects:

*Technical Accuracy: Identify and correct errors in spelling, grammar, punctuation, capitalization and formatting.

*Other Technical Errors: Identify and correct other technical errors not specifically listed in this prompt.

*Correct Placement of Periods and Quotes: Pay special attention to the placement of periods and quotes. Identify and correct any incorrect placement of periods and quotes and incorrect spacing associated with them.

*Consistency: Identify and correct inconsistent use of terminology, names, spelling, formatting and internal style rules (if applicable).

*Specific Conventions: Verify that the following conventions are employed:

~Allow the use of slang
~Allow the use of sentence fragments
~Allow the use of sentences that start with And
~Allow the use of sentences that start with But

To report the errors you find:

*Preserve Original: Retype the entire text with your changes.

*Highlight Errors: Highlight each error you find in bold.

*Provide Correction: Offer your correction for each error in parentheses directly after the bolded error.

*Explain Correction: For each correction you make using boldface type, please explain the correction, also in boldface type, using the format in the following example, which is delineated by three quote symbols “””solider (soldier) — The word soldier was misspelled.”””

*Always keep in mind your overarching goal: Your overarching goal is to provide the most comprehensive, meticulous proofreading of the text as possible.

Please indicate that you fully understand these proofreading instructions and have stored the instructions with the statement: I fully understand these proofreading instructions and have stored the instructions. Please input the text you’d like proofread with your next prompt using the words, “Here’s the text to proofread:”]

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 Free AI-Powered Proofreading appeared first on Robot Writers AI.

A combined team of roboticists from Stanford University and the Toyota Research Institute has found that adding audio data to visual data when training robots helps to improve their learning skills. The team has posted their research on the arXiv preprint server.

It resembles a malevolent robot from 1980s sci-fi but West Japan Railway's new humanoid employee was designed with nothing more sinister than a spot of painting and gardening in mind.