Voicebots are finding more uses as time goes on; they are not merely for use with virtual voice assistants
When you hear Voicebot, you probably immediately think of Siri, Alexa, or Ok Google. These are the most practical voice-activated devices that have mostly taken over our daily lives. AI chatbots and voicebots will become more prevalent in 2021 across a range of industries, including insurance, finance, healthcare, fintech, retail, utilities, eCommerce, and many more.
What is a Voice Bot?
Voicebot is a vocal interface that allows people to communicate with computers in regular, everyday language. It is supported by NLP, ASR (automatic speech recognition), machine learning, and TTS as its underlying technologies.
As soon as the user talks, ASR transcribes what they say into text, which NLP then interprets (natural language processing). The relevant response is then created and rendered as speech using TTS.
Voicebots are finding more uses as time goes on; they are not merely for use with virtual voice assistants like Alexa, Siri, or Google Assistants.
For example, some contact centers utilize Voicebots in place of human operators for customer service interactions. In contrast to IVRs, clients can converse verbally rather than by typing.
Utilize cutting-edge voicebot technology to communicate with customers.
Intelligent voice control bots now can mimic the subtleties of speech thanks to scientific advancements in NLP. It is necessary to hear this evolution of natural language to understand it. AI is a major influence in communication nowadays. Voice answering machines no longer drive callers to the brink like they once did. There is no need to be concerned about the lengthy language options where we were asked to select from a list of terms before broadcasting them obnoxiously. Today’s circumstances are remarkably different.
Scale-up business processes
People are accustomed to handling two to three discussions at once. Voice bots, on the other hand, have no such restrictions. In response to the volume of calls, businesses may quickly scale up or down their customer service.
Voice bots are aware of when they must refer a client to a human. Even though they are incredibly intelligent and sophisticated, voice bots won’t always be able to provide the correct solutions. Though voice bots excel at providing simple, FAQ-based answers, including explaining opening hours and return policies, when a customer’s question grows more complex, they can transfer the call to a human agent to handle it.
Voice-based interactions open up new avenues for creating more superiorly tailored connections. Voice bots, for instance, may instantaneously verify a consumer using voice recognition, and they can adapt their responses based on the user’s past interactions with a company. In light of the conversational nature of the technology, interactive voice bots make customer support more user-friendly. In the end, spoken conversations expose us as more impulsive people than deliberate text-based conversations.
Decreased operational costs
This may be the main advantage of voice bots for businesses. By computerizing simple client interactions that do not require live human intervention, they increase resources and lower contact rates. Additionally, contact center representatives are spared from processing time-consuming tier-1 support inquiries, and can instead concentrate on complex customer issues.
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Tesla’s AI Robot Optimus Could’ve Done More Than Just Show Up- Experts
Tesla’s AI Robot Optimus disappoints the experts; critics think that the future is still far off
The much-anticipated Tesla’s AI Robot Optimus prototype has finally been unveiled by Elon Musk. The robot, which the Tesla CEO envisions being sold as a “general purpose” but that is less expensive than a car and equally capable of working in factories and performing household tasks, walks on two legs.
The presentation of Tesla’s Optimus at Tesla’s AI Day was loaded with the customary hype and deception from Elon Musk. It did, however, give roboticists a commendably thorough view of some of the AI Robot’s genuine capabilities. Their assessment? Although the experts at Tesla have made amazing progress in such a short period, AI Robot Optimus is still a research robot that will take several years to develop into anything useful. With the introduction of Optimus, Tesla joined a plethora of other automakers engaged in the humanoid robot industry. Experts have had the last laugh at the launch.
Before we begin to know what experts have to say, let us know what was presented at the Tesla AI Day event-
- Two robots were shown. The first, known as Bumble C, was a “rough development robot” that could be seen moving boxes and picking up watering cans as it crossed the stage during prerecorded demonstrations. Musk referred to the second robot as having an external covering and being “pretty close to what will go into production.” But it was only ever shown waving its hands and was only ever used as a prop, wheeled around by Musk.
- Musk reiterated his goal to develop “a usable humanoid robot as rapidly as possible,” one that can be “produced in extremely high number, eventually millions of units,” and that will “cost much less than a vehicle — far less than $20,000.”
- For Optimus, we have some basic specifications. It is 73 kg in weight, with 28 degrees of articulation in its limbs, and is powered by a 2.3 kWh battery, which according to Tesla, can last all day at work.
- In a Q&A session at the end of the presentation, Musk said clients will be able to order one “within three years, probably not more than five years,” and he reiterated the rumors that the bot could one day “be like a friend.”
Those are some rough things that happened on that day but what do the experts have to say?
Florida State University robotics professor Christian Hubicki shared his opinions in a Twitter conversation, saying that while the Tesla team had “come a great way in approximately a year,” the actual skills of Tesla’s AI Robot Optimus were “normal (but not mind-blowing) for humanoids.”
Hubicki observes in his thread that the Optimus robot appears to walk using a robotics technique known as zero moment point, or ZMP. This form of locomotion has been used for years by well-known robots like Honda’s Asimo. According to Hubicki, this walking style is “very safe, but not mind-blowing in 2022.”
He adds that the presentation’s dependability is still another important topic that is left unanswered. “How frequently does it fall? You can’t tell from a cool video, or even from a live demo,” the speaker asserts. Reliability is a major consideration when it comes to using robots in manufacturing facilities, since any downtime on an assembly line may have a big ripple impact.
The first two Optimus bot prototypes, according to Will Jackson, CEO of Engineered Arts, were “decidedly deficient” and without “any innovation.” They share a lot of similarities with Honda’s Asimo robots, whose research has since been discontinued, according to Jackson. “The hands are fairly rudimentary, and the overall design is heavily built, clunky, and power wasteful. The only saving grace is a clutch mechanism in the finger activation. Compare the gear revealed this year to the reveal from last year, which featured a man in a robot suit, to see how far they have come from human-level movements and skills.
Jackson applauded Tesla’s work on AI in general and the company’s engineers’ commitment, but he questioned the company’s decision to create a humanoid robot for manual labor in the first place. “I find it incredible that Musk can speak to a group of people who are so fervently in love with the concept of a humanoid and completely miss the fact that their desire to communicate with a robot is the driving motive. Did he believe they were cheering because a humanoid robot capable of lifting a pipe in car manufacturing would finally be available to the world?
He concluded that the presentation displayed “an exceptionally bold live exhibition of a tremendous effort that sadly lacks creativity and imagination” and expressed the hope that “by the time of next year we will witness a course correction.”
The post Tesla’s AI Robot Optimus Could’ve Done More Than Just Show Up- Experts appeared first on Analytics Insight.
India’s AI-Fication Of Defense: Arjun Main Battle Tank
India’s AI-fication of defense enables Arjun war tank to get artificial intelligence capabilities
India’s AI-fication of Defense is in the hot discussion. The MK1A, an improved version of the Arjun platform, with advanced firepower, maneuverability, and survivability has been designed and developed by India’s Defense Research and Development Organization (DRDO). The Janes report revealed that Bangalore-based Tonbo Imaging is building the system in collaboration with the state-run Bharat Electronics Limited (BEL) plant in Chennai, India.
The report mentioned, “Tonbo Imaging is partnered with BEL, Chennai, to meet [BEL’s] demand for fire-control systems. Hence, BEL offered a contract to manufacture and deliver the electro-optical fire-control system for Arjun MK1A MBTs.” The Elpeos fire-control product will be delivered as part of the deal and integrated into the Arjun Main Battle tank. ELPEOS contains a cooled MWIR imager with high resolution, a color CCD camera, a Laser Range Finder, and an integrated ballistic computer. For target acquisition and georeferencing, it can optionally incorporate a GPS and a Digital Magnetic Compass with an inclinometer. This system provides a convenient way for tanks to acquire, lock, and engage moving targets using human or automatic tracking. The system has some silent features like automatic target detection, tracking, and classification. It is lightweight and has low power consumption. With numerous cutting-edge technology systems, the MK1A is outfitted with precise and superior firepower, all-terrain mobility, and unbreakable multi-layered protection. India’s AI-fication of Defense has introduced AI in Indian defense with upgraded Arjun Main Battle tank
Arjun MK1A Tank
Arjun MK1A Tank is the updated version of the Arjun Tank developed by the Combat Vehicles Research and Development Establishment (CVRDE) and other DRDO research facilities. The tank has multiple important enhancements over the Arjun MBT, the Indian Army’s existing main combat tank in service. Moreover, the AI in Arjun Battle tank makes it capable to operate in all terrains and engage targets at night. The tank is outfitted with advanced technologies using artificial intelligence. Because of this, the indigenous MBT is at par with any modern tank in its class elsewhere in the world. The tank is specifically designed for Indian conditions, making it appropriate for deployment to protect the borders effectively. The order is anticipated to provide 200 Indian vendors, including micro, small, and medium-sized businesses (MSMEs), with the opportunity to engage in manufacturing.
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Cybernetics Spells The New Dawn For Robotics
Cybernetics Spells the New Dawn for Robotics
Cybernetics as a concept is relatively dormant in the Robotics sphere. It is an interdisciplinary study of communication and control systems driven by feedback mechanisms. Cybernetics involves electrical systems in general and robotics in particular. In the last 30 years, it has been under a boom-bust cycle only to be dominated by artificial intelligence and machine learning technologies. Cybernetics includes concepts such as cognition, adaptation, social control, emergence, communication, efficiency, and interconnectivity, which makes it very much similar to machine learning. By virtue of the above-said features, Cybernetics is slowly emerging as an alternative autonomous and innovative AI/ML technology requiring minimal human intervention.
You might wonder how cybernetics is applied to a complex system like Robotics. Models with Cybernetic technology, compare what is happening to a system at various sampling times to a pre-set standard of what should be happening, to adjust the system’s behavior accordingly. This is all achieved through a feedback mechanism. Cybernetics when applied in Robotics would make systems sense, plan and act with situational awareness. The sensors calibrated to identify real-life situations drive the robotic systems for driverless cars, manufacturing, and home care robots, and medical robots.
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