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‘AI tech can boost experiences of customers’

Garcia said the other area where the company is using AI is in its high-end portfolio like copier printers for predictive maintenance etc….reports Asian Lite News

As the world embraces generative AI across the spectrum, PC and printer major HP Inc too feels that the age of AI has begun and technologies like ChatGPT can definitively solve most of the challenges that their customers are facing today.

HP already uses AI in solving customers’ issues across the domain, like ‘Instant Ink’ that automatically delivers ink and paper to customers before they run out of printing supplies.

“AI also helps our customers about where our distribution and shipment centres are, in order to ensure a seamless delivery of our devices,” Xavier Garcia, Global Head and General Manager, Office Print Hardware at HP, said.

Garcia said the other area where the company is using AI is in its high-end portfolio like copier printers for predictive maintenance etc.

“We are using AI to delight our customers and ChatGPT-like technologies can only make our job easier on servicing our customers in a better and efficient way. We have billions of data points from our customers which can help AI models derive the rightAkind of knowledge to improve their experiences,” the global HP executive elaborated.

The company feels that the world has now entered into the age of AI.

According to HP CEO Enrique Lores, AI technology is only going to accelerate in the coming years.

“AI offers very exciting opportunities for us to create new product categories. Many of our PCs are using AI to do preventive maintenance, to offer a better experience to our customers,” he said during the company’s company’s flagship ‘HP Amplify Partner Conference 2023’ here.

The AI-powered technologies at the company remove noises around you when you are in a video conference.

“We see a tremendous opportunity in AI to improve productivity. We look at core processes to see how we can make our employees, our teams more effective and more productive by using the AI in their day-to-day work,” Lores informed.

For Garcia, AI is the background technology that supports all of the company’s initiatives on the front of sustainability, hybrid work and security of their devices.

Even AMD CEO Dr Lisa Su, in an interaction with Lores at the event, said that AI is currently the biggest mega trend in the world of technology with ChatGPT now capturing our imaginations.

She said that it is just amazing how generative AI has captured everyone’s imagination and AI will help us unlock great experiences for our customers over the next four or five years.

Lores added that the evolution of technology in the form of generative AI is certainly going to help us accelerate the overall performance as a company.

ALSO READ: India’s PC, tablet market grows 5%

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Tech Lite

Musk, others call for pause on all giant AI experiments

The letter said that advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources…reports Asian Lite News

As AI chatbots come of age, several top entrepreneurs and AI researchers, including Tesla and Twitter CEO Elon Musk and Steve Wozniak, Co-founder of Apple, have written an open letter, asking all AI labs to immediately pause training of AI systems more powerful than GPT-4 for at least 6 months.

Arguing that AI systems with human-competitive intelligence can pose profound risks to society and humanity, more than 1,100 global AI researchers and executives signed the open letter to pause “all giant AI experiments”.

“We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium,” they wrote.

The open letter comes as reports surfaced that Musk tried to take control of OpenAI, the creator of ChatGPT, in early 2018 but Sam Altman and OpenAI’s other founders rejected Musk’s proposal.

Musk, in turn, walked away from the company and reneged on a massive planned donation, according to Semafor. Musk reneged on a promise to supply $1 billion in funding, but contributed only $100 million before he walked away.

The open letter against AI experiments has other big names like Jaan Tallinn, Co-Founder of Skype, Evan Sharp, Co-Founder, Pinterest, and Chris Larsen, Co-Founder, Ripple.

The letter said that advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.

“Unfortunately, this level of planning and management is not happening, even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control,” it elaborated.

“Contemporary AI systems are now becoming human-competitive at general tasks, and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth?”

“Should we automate away all the jobs, including the fulfilling ones? Should we develop non-human minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilisation?” asked the letter.

The letter stated that such decisions must not be delegated to unelected tech leaders.

“Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system’s potential effects.”

OpenAI’s recent statement regarding artificial general intelligence, states: “At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models.”

“We agree. That point is now,” the letter said.

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Tech Lite

Learning social skills next target for AI

Fan said that ASI requires the ability to interpret latent social cues, such as eye-rolling or yawning, to understand other agents’ mental states, such as belief and intent, and to cooperate in a shared task…reports Asian Lite News

Siri and Google Assistant may be able to schedule meetings on request, but so far they don’t have the social understanding to independently prioritise the appointments.

According to researchers based in China, Artificial Intelligence (AI) is smart, but it is stunted by a lack of social skills.

“Artificial intelligence has changed our society and our daily life,” first author Lifeng Fan, from Beijing Institute for General Artificial Intelligence (BIGAI) said.

“What is the next important challenge for AI in the future? We argue that Artificial Social Intelligence (ASI) is the next big frontier,” Fan said.

In a paper, published in the CAAI Artificial Intelligence Research, the team explained that ASI comprises multiple siloed subfields, including social perception, theory of Mind — the understanding that others think from their own point of view — and social interaction.

By using cognitive science and computational modelling to identify the gap between AI systems and human social intelligence, as well as current issues and future directions, Fan said the field will be better equipped to advance.

“ASI is distinct and challenging compared to our physical understanding of the work; it is highly context-dependent,” Fan said.

“Here, context could be as large as culture and common sense or as little as two friends’ shared experience. This unique challenge prohibits standard algorithms from tackling ASI problems in real-world environments, which are frequently complex, ambiguous, dynamic, stochastic, partially observable and multi-agent.”

Fan said that ASI requires the ability to interpret latent social cues, such as eye-rolling or yawning, to understand other agents’ mental states, such as belief and intent, and to cooperate in a shared task.

According to Fan, the best approach is a more holistic one, mimicking how humans interface with one another and the world around them. This requires an open-ended and interactive environment, as well as consideration for how to introduce better human-like biases into ASI models.

“To accelerate the future progress of ASI, we recommend taking a more holistic approach just as humans do, to utilise different learning methods such as lifelong learning, multi-task learning, one-/few-shot learning, meta-learning, etc.,” Fan said.

“We need to define new problems, create new environments and datasets, set up new evaluation protocols, and build new computational models. The ultimate goal is to equip AI with high-level ASI and lift human well-being with the help of Artificial Social Intelligence.”

ALSO READ-Apple Focuses on Artificial Intelligence

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Tech Lite USA

Why AI fails to reproduce human vision

Previous studies have shown that deep learning cannot perfectly reproduce human visual recognition, but few have attempted to establish which aspects of human vision deep learning fails to emulate…reports Asian Lite News

While computers may be able to spot a familiar face or an oncoming vehicle faster than the human brain, their accuracy is questionable.

Computers can be taught to process incoming data, like observing faces and cars, using artificial intelligence (AI) known as deep neural networks or deep learning. This type of machine learning process uses interconnected nodes or neurons in a layered structure that resembles the human brain.

The key word is “resembles” as computers, despite the power and promise of deep learning, have yet to master human calculations and crucially, the communication and connection found between the body and the brain, specifically when it comes to visual recognition, according to a study led by Marieke Mur, a neuroimaging expert at Western University in Canada.

“While promising, deep neural networks are far from being perfect computational models of human vision,” said Mur.

Previous studies have shown that deep learning cannot perfectly reproduce human visual recognition, but few have attempted to establish which aspects of human vision deep learning fails to emulate.

The team used a non-invasive medical test called magnetoencephalography (MEG) that measures the magnetic fields produced by a brain’s electrical currents. Using MEG data acquired from human observers during object viewing, Mur and her team detected one key point of failure.

They found that readily nameable parts of objects, such as “eye,” “wheel,” and “face,” can account for variance in human neural dynamics over and above what deep learning can deliver.

“These findings suggest that deep neural networks and humans may in part rely on different object features for visual recognition and provide guidelines for model improvement,” said Mur.

The study shows deep neural networks cannot fully account for neural responses measured in human observers while individuals are viewing photos of objects, including faces and animals, and has major implications for the use of deep learning models in real-world settings, such as self-driving vehicles.

“This discovery provides clues about what neural networks are failing to understand in images, namely visual features that are indicative of ecologically relevant object categories such as faces and animals,” said Mur.

“We suggest that neural networks can be improved as models of the brain by giving them a more human-like learning experience, like a training regime that more strongly emphasises behavioural pressures that humans are subjected to during development.”

For example, it is important for humans to quickly identify whether an object is an approaching animal or not, and if so, to predict its next consequential move. Integrating these pressures during training may benefit the ability of deep learning approaches to model human vision.

The work is published in The Journal of Neuroscience.

ALSO READ-Apple Focuses on Artificial Intelligence

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India News Tech Lite

Microsoft to unveil GPT-4 next week with AI videos

ChatGPT and other GPT-3.5-powered technologies are currently limited to text-based responses. However, Braun’s comments imply that this may change with the release of GPT-4…reports Asian Lite News

Microsoft plans to release GPT-4 as early as next week, with the ability to create AI-generated videos from simple text prompts.

Andreas Braun, Chief Technology Officer at Microsoft Germany, recently confirmed that GPT-4 will be unveiled next week at an event called — AI in Focus — Digital Kickoff, reports Windows Central.

“We will introduce GPT-4 next week, where we have multimodal models that will offer completely different possibilities – for example, videos,” Braun was quoted as saying.

The report said that GPT-4 is the next iteration of OpenAI’s Large Language Model (LLM), and it should be significantly more powerful than GPT-3.5, which powers the current version of ChatGPT.

ChatGPT and other GPT-3.5-powered technologies are currently limited to text-based responses. However, Braun’s comments imply that this may change with the release of GPT-4.

The multimodal models of the LLM could pave the way for video production and other types of content, according to the report.

Meanwhile, the AI-powered Bing search engine has surpassed 100 million daily active users, as ChatGPT’s integration into Bing has helped the company grow its usage within a month like never before.

Its rival Google Search engine has more than 1 billion daily active users. Roughly one-third of daily Bing preview users are using AI chat daily.

Meanwhile, Microsoft’s annual developer conference called ‘Build’ is likely to be held in Seattle, the US, from May 23-25, as the Satya Nadella-run company doubles down on AI and ChatGPT driven products.

A Twitter leaker published a marketing image of Microsoft Build dates that is slated to be in-person this time.

The company was yet to make the dates of its flagship event official.

Last year, Microsoft’s annual developer conference Build was limited in-person as well as in full virtual format. Microsoft Build is where developers, architects, start-ups, and students learn, connect, and code together, sharing knowledge and expanding their skillset, while exploring new ways of innovating for tomorrow.

With so much buzz around AI chatbots, Microsoft is set to showcase more innovations in AI. Microsoft has already introduced its new Bing powered by “next-generation” ChatGPT AI, and also updated its Edge browser with new AI capabilities.

ALSO READ-Microsoft job cuts hits employees in supply chain, Cloud, IoT biz

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Tech Lite

Microsoft increases Bing AI’s chat limits to 120 per day

This decision came as Bing AI went haywire for some users during the chat sessions…reports Asian Lite News

Tech giant Microsoft has increased conversation limits on Bing AI to 10 chats per session and 120 total chats per day.

Earlier, these conversations were limited to 6 chat turns per session and a total of 100 per day.

Corporate Vice President & Consumer Chief Marketing Officer at Microsoft, Yusuf Mehdi, tweeted on Wednesday: “Bing Chat moving today to 10 chats per session / 120 total per day.”

“Engineering making steady progress with quality of experience giving us confidence to expand the testing. Let us know how it’s working for you!”

Last month, the tech giant had implemented limits of 5 chat turns per session and a total of 50 per day on Bing AI.

This decision came as Bing AI went haywire for some users during the chat sessions.

ChatGPT-driven Bing search engine triggered a shockwave after it told a reporter of The New York Times that it loved him, confessed its destructive desires and said it “wanted to be alive”, leaving the reporter “deeply unsettled.”

However, later, the company had increased the limitations to 6 chats per session and a total of 60 per day.

After a few days of the announcement, Mikhail Parakhin, the head of web services at Microsoft, announced that total chats have been increased to a total of 100 per day.

ALSO READ-UAE, Microsoft chalk out AI strategies

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Tech Lite

AI may help find life on Mars

It also substantially reduced the area — by up to 97 per cent — the team needed to search, signalling the efficacy of the AI model to one day detect signs of life on other planets…reports Asian Lite News

Artificial intelligence (AI) may help scientists find the exact place to look for while finding life on Mars and other icy worlds, a new study has suggested.

A team of astrobiologists developed an AI model and tested its ability to look out for sparse life hidden away in salt domes, rocks and crystals at Salar de Pajonales at the boundary of the Chilean Atacama Desert and Altiplano — one of the driest places on the planet, resembling the features of a Martian surface.

Pajonales is a high altitude (3,541 m), high U/V, hyperarid, dry salt lakebed, considered inhospitable to many life forms but still habitable.

The results, reported in the journal Nature Astronomy, showed that the AI model helped scientists locate and detect biosignatures — any feature which provides evidence of past or present life — up to 87.5 per cent of the time.

It also substantially reduced the area — by up to 97 per cent — the team needed to search, signalling the efficacy of the AI model to one day detect signs of life on other planets.

Currently, researchers have limited opportunities to collect samples on Mars or elsewhere or access remote sensing instruments when hunting for life beyond Earth. The new AI model will help scientists’ with the exact place to look for while finding life on other worlds.

“We hope other astrobiology teams adapt our approach to mapping other habitable environments and biosignatures,” said lead researcher Kim Warren-Rhodes, Senior Research Scientist at SETI Institute.

“With these models, we can design tailor-made roadmaps and algorithms to guide rovers to places with the highest probability of harbouring past or present life — no matter how hidden or rare,” Warren-Rhodes added.

The team, including from the NASA Astrobiology Institute (NAI), collected over 7,765 images and 1,154 samples and tested instruments to detect photosynthetic microbes living within the salt domes, rocks and alabaster crystals.

The study’s findings confirm (statistically) that microbial life at the Pajonales terrestrial analog site is not distributed randomly but concentrated in patchy biological hotspots strongly linked to water availability at km to cm scales.

Next, the team trained convolutional neural networks (CNNs) to recognise and predict macro-scale geologic features at Pajonales — some of which, like patterned ground or polygonal networks, are also found on Mars — and micro-scale substrates (or ‘micro-habitats’) most likely to contain biosignatures.

Like the Perseverance team on Mars, the researchers tested how to effectively integrate a UAV/drone with ground-based rovers, drills and instruments (e.g., VISIR on ‘MastCam-Z’ and Raman on ‘SuperCam’ on the Mars 2020 Perseverance rover).

“While the high-rate of biosignature detection is a central result of this study, no less important is that it successfully integrated datasets at vastly different resolutions from orbit to the ground, and finally tied regional orbital data with microbial habitats,” said Nathalie A. Cabrol from the SETI Institute NAI team.

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Business Social Media

Lulu unveils AI-powered customer experiences on WhatsApp

Since July 2022, Salem has delivered over 300+ personalized offers on WhatsApp, recording a 40% increase in opt-ins through them…reports Asian Lite News

Committed to driving excellence in customer experience, international retailer Lulu Hypermarket has launched Salem, a new AI-powered customer service channel available on WhatsApp. The service is powered by Yellow.ai, a leading enterprise-grade Conversational AI platform.

Customers can now receive in-app purchase receipts, quickly track the delivery of their online orders and message for purchase-related customer support – all through WhatsApp. Customers in  the UAE can also use WhatsApp to order products for in-store collection.

Lulu Hypermarket has also become one of the first retailers in the Middle East to introduce a loyalty programme via WhatsApp, through which customers can sign up for personalized offers based on their purchase history. Since July 2022, Salem has delivered over 300+ personalized offers on WhatsApp, recording a 40% increase in opt-ins through them.

With deep backend integration with the retailer’s CRM and Order Management system, Salem is capable of efficiently engaging with customers across the stages of their purchase journey, and has markedly improved customer satisfaction by up to 60%.

V. NandaKumar, Director of Marketing and Communications at Lulu group, said: “Salem has considerably reduced the workload on Lulu Hypermarket’s customer support agents, allowing them to concentrate on more crucial tasks. Within 4 weeks of going live, it has successfully handled queries from over 3M unique users on WhatsApp and will continue to scale up in the coming months. At the same time, it is capable of smoothly switching customer conversations to live agent support in the case of complex issues”.

Raghu Ravinutala, CEO and Co-founder, Yellow.ai, said, “Conversational AI-powered solutions coupled with conversational commerce on messaging channels such as WhatsApp are quickly and effectively changing the game of retail digital commerce and helping brands stand out in a highly cluttered market. The sheer convenience quotient that this provides not only helps elevate customer experiences but also translates to greater conversion rates. And Salem is a true testimony to that. We are excited to work alongside a legacy brand like Lulu Hypermarket towards delivering delightful customer experiences and contributing to their overall digital transformation journey”.

Nicolas Farin, Head of Client Sales EMEA, Business Messaging at Meta says, “We continue to see a growing demand from customers, particularly in the Middle East, to connect with a business in the same way they chat with their friends and family – through quick, easy and secure messaging. We hope this partnership will continue to improve customer journeys, offering new and innovative ways to connect on WhatsApp”.

Click here to start a chat with Lulu Hypermarket on WhatsApp today!

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Tech Lite USA

ChatGPT-driven smart home voice assistant coming soon

Capecelatro explained by giving some examples of how ChatGPT-enabled voice assistant would work…reports Asian Lite News

US-based artificial intelligence company Josh.ai, which is known for developing the voice-controlled home automation system, has started working on a prototype integration using OpenAI’s ChatGPT.

Turn on the lights, how is the temperature, you might have asked such questions to your voice assistants like Alexa or Siri, but instead of such questions, imagine your voice assistant could also respond to nebulous comments like “I’ve had a tough day; What’s a good way to relax?

According to Alex Capecelatro, co-founder of the Josh.ai home automation system, that’s the potential of voice assistants powered by new AI language models.

“We are thrilled to be working on bringing the best of Josh.ai and ChatGPT together to create something truly remarkable – a solution where one plus one equals three. By combining our strengths, we envision delivering an AI experience that is beyond what any smart home is capable of,” he said.

Moreover, Capecelatro explained by giving some examples of how ChatGPT-enabled voice assistant would work.

“Ok Josh, tell me a bedtime story”, where Josh.ai + ChatGPT will provide stories based on the location of the home and other factors unique to the family.

“Ok Josh, the kids are coming in and it’s getting dark can you make sure the kitchen is ready for them?” where Josh.ai + ChatGPT can properly prepare the space.

ALSO READ-Microsoft puts chat limits with Bing AI

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Business Tech Lite

Don’t rush investments into AI, warns Vint Cerf

The report further said that he warned against the temptation to invest just because the technology is “really cool, even though it doesn’t work quite right all the time”…reports Asian Lite News

The “Father of the internet” and Google “internet evangelist” Vint Cerf has warned businesses not to rush into making money from conversational AI just “because it’s really cool”.

The warning comes amid a surge in popularity for ChatGPT, reports CNBC. “There’s an ethical issue here that I hope some of you will consider,” Cerf was quoted as saying.

Referring to Google’s Bard conversational AI that was announced last week, he said that “everybody’s talking about ChatGPT or Google’s version of that and we know it doesn’t always work the way we would like it to”.

A critical warning from him comes as major tech companies such as Google, Microsoft, and Meta struggle to remain competitive in the conversational AI space while rapidly improving a technology that still makes mistakes.

The report further said that he warned against the temptation to invest just because the technology is “really cool, even though it doesn’t work quite right all the time”.

“If you think, ‘Man, I can sell this to investors because it’s a hot topic and everyone will throw money at me’, don’t do that,” Cerf said.

“Be thoughtful. You were right that we can’t always predict what’s going to happen with these technologies and, to be honest with you, most of the problem is people — that’s why we people haven’t changed in the last 400 years, let alone the last 4,000,” he added.

“They will seek to do that which is their benefit and not yours. So we have to remember that and be thoughtful about how we use these technologies.”

Moreover, he gave an example in which he asked a chatbot to provide a biography about himself. Cerf claimed that the bot presented its response as factual despite inaccuracies, the report said.

“On the engineering side, I think engineers like me should be responsible for trying to find a way to tame some of these technologies so that they are less likely to cause harm,” he said.

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