Occupop, a leading recruitment software provider for Small and medium businesses, has introduced a new feature in its software of the same name. The groundbreaking new feature – ‘ChatGPT Prompt Library for Recruitment’ – aims to enhance and incorporate AI adoption in talent acquisition. This is done by simplifying integration by eliminating the need for extensive prompt creation with ready-to-use prompts which allows users to deploy AI tools, boosting efficiency and effectiveness.
This novel resource is tailor-made for talent acquisition professionals seeking to streamline their recruitment and HR activities. This is done through AI-generated prompts which access a library of HR and recruitment resources. The library boasts a curated collection of over 100 prompts, sourced from experienced recruiters and hiring managers, offering a versatile toolkit for integrating AI seamlessly.
Source: Occupop.com
“We know the effectiveness of AI tools, including ChatGPT, hinges on the quality of prompts employed. However, crafting these prompts can be a resource-intensive task. With the ‘ChatGPT Prompt Library for Recruitment’, our intent is to encourage the talent acquisition community to embrace AI tools without the need for extensive prompt crafting. This enables the user to quickly familiarise themselves with AI tools and strengthen their future endeavours.”
Orla Doyle, Marketing Director at Occupop
This innovative platform equips hiring managers with an expert-approved resource, elevating their AI-powered recruitment strategies. The library covers diverse aspects such as hiring strategies, recruitment marketing, and candidate sourcing and assessment. The introduction of the ‘Ultimate ChatGPT Prompt Library for Recruitment’ signifies a milestone in the convergence of AI and recruitment.
After successfully securing RM2.25 million through equity crowdfunding, Vimigo has revealed its new plans to develop an AI-powered HR mobile app and expand across the Asian market. In Malaysia, the company is known for its human resource (HR) performance reward system for startups.
With the funds raised, Vimigo plans to develop an AI-powered HR mobile app. This app will leverage AI to suggest SMART (specific, measurable, attainable, realistic, and time-bound) goals for each employee’s key performance metrics.
The app will also incorporate a gamified performance rewards system, which aims to create tangible progression milestones to motivate employees in a similar way to levelling up in a game. The app is expected to be released on iOS, Android, and web by the end of 2023.
In addition to app development, the company has set its sights on market expansion to several Asian countries, including Taiwan, Singapore, Thailand, Philippines, Indonesia, and Vietnam by 2025.
Alibaba Cloud has introduced its latest AI image generation model, Tongyi Wanxiang (‘Wanxiang’ means ‘tens of thousands of images’). This model is designed to help businesses improve their creativity by generating high-quality images across different art styles.
Text-to-image generation
The company states that Tongyi Wanxiang is able to generate detailed images in response to text prompts in both Chinese and English. This includes watercolours, oil paintings, sketches, animations, and more. Additionally, It can also transform existing images into new ones with similar styles and apply style transfers to create visually appealing compositions..
Tongyi Wanxiang is powered by Alibaba Cloud’s advanced technologies and leverages multilingual materials for enhanced training. This AI image generation model optimizes the high-resolution diffusion process to strike a balance between composition accuracy, detail sharpness, and clean backgrounds.
Alibaba Cloud developed it using Composer, the company’s proprietary large model that offers greater control over the final image output, including spatial layout and colour palette.
ModelScopeGPT Launched for Sophisticated AI Tasks
The company has also launched ModelScopeGPT, a versatile framework that utilizes Large Language Models (LLMs) to accomplish complex AI tasks across language, vision, and speech domains. ModelScopeGPT connects with an extensive array of domain-specific expert models, allowing businesses and developers to access and execute the best-suited models for sophisticated AI tasks. The platform is available for free and offers a rich Model-as-a-Service (MaaS) ecosystem.
“Artificial Intelligence (AI) is revolutionising the way we work.” This phrase is undoubtedly something that we’ve become so familiar with over the past few years. However, we’ve yet to see the impact of AI outside manufacturing and data science – that is – until now. With generative AI taking centre stage thanks to services like OpenAI’s ChatGP, that phrase couldn’t be more relevant. AI is taking the leap from automation to contextual intelligence which will benefit more people across more industries.
In the time since the pandemic, we’ve seen a revolution in the digitization of work. A large portion of workers – like ourselves – are still finding themselves working remotely to be more productive and reduce time wasted in commutes. In fact, Microsoft’s 2021 and 2022 Work Trend Index drew sharp focus on the subject. This year, the conversation is turning towards Generative AI and its role in leapfrogging work to the next level.
A Digital Leap with A Heavy Digital Debt
Speaking of the digitization of work, the recent digital leap – while a long time coming – has resulted in workers accumulating digital debt. What exactly is this? It’s that backlog of emails, that information dump, the work chats and even those meetings and their minutes that continue to pile up even as we work through them. While the digital leap we just experienced has been amazing for work and interpersonal communication, we’re finding it harder to cope with the sheer volume of information and communication we generate.
In fact, Microsoft’s Work Trend Index found that 2 full work days are spent simply dealing with emails and inefficient meetings. This is exacerbated by the fact that we’re in 3 times more meetings at work since the pandemic. Leadership in organisations have also taken notice. They note that workers are spending too much time with their noses to the grindstone and not enough time innovating. This has created an increase in productivity but a lag in results. 77% of Malaysian respondents in Microsoft’s survey noted that they don’t have enough time and energy to get work done. This isn’t surprising given that we’re dealing with a continually growing digital debt.
“As work evolves with AI, leaders and employees alike are looking at how technology can help them be more productive in their workplace. With AI, there is now an opportunity for us to reimagine the way we work and collaborate in the workplace of the future.”
AI and, in particular, generative AI like ChatGPT and Microsoft’s Copilot are part of the solution in dealing with this digital debt. They will help workers and leaders discern signals from the immense volume of noise. Relevant information can be distilled from data both internally and on the open web in seconds saving hours of work. What’s more, AI like Copilot will be able to help create effective meetings and eventually create a leap in innovation thanks to the offloading of menial tasks to these AI. In tandem with this, leaders and employees may shift to a more asynchronous form of communication allowing for more effective communications and meetings overall.
AI Isn’t Here to Replace, It’s Here to Augment
With the increased adoption of AI in work, many of us are feeling the pinch of possibly being replaced by a soul-less tool. 62% of the respondents to Microsoft’s Work Trend Index in Malaysia share this concern. While this may be true in essence, what we will expect to see in the coming years is the integration of AI into our work to lessen repetitive work. Perhaps, this will mean that some of our job roles will change.
We’re already seeing a large portion of workers and leaders willing to offload and delegate work to AI to lessen workloads. A whopping 84% of respondents indicated such. These tasks can be administrative, analytical or even creative. Yes, while it is concerning that even creative tasks can be offloaded to AI, there’s an evolution of work that will be spurred by this which will, hopefully, spur an increase in innovative work and boost productivity. This is where most Malaysian managers find the most value in AI.
However, what will develop is an AI-employee alliance in which work is completed through a complementary pair of AI insight and employee ingenuity. This will necessitate employees and workers to have an aptitude for using AI. While it’s still early days when it comes to discerning skills that are AI-specific in the workforce, Microsoft has identified some key competencies that will be crucial for workers. 90% of leaders already anticipate this need.
A Need for AI Skills to Empower a Better Copilot
That said, employees will need to develop core competencies that will empower them to leverage AI as an integral tool for productivity. While digital skills still remain a pain point for employers, already 76% of Malaysians feel they are ill-equipped when it comes to AI skills.
The need to use and familiarise yourself with AI tools like ChatGPT cannot be overemphasized at this point. It’s no longer a question of “if” but one of “when” generative AI will make its way into your workflow. Getting to know how to prompt Generative AI tools to get the right outcome will be one of the key competencies of the AI revolution. However, it will also be crucial to understand that these AI tools are simply that – tools to get the work done. They are copilots, not autopilots when it comes to getting work done.
Source: Facebook
“There is a need for a skilled workforce to reap the benefits of AI-powered technology and solutions. Human-AI collaboration is going to be critical as we shift from AI on autopilot to AI as our copilot. The most pressing opportunity and responsibility for every leader is to understand how to leverage AI to remove the drudgery of work, unleash creativity, and build AI aptitude,”
Industry leaders like Microsoft are already incorporating AI such as GPT and DALL-E into their offerings. With the recent announcement of Windows getting Bing’s GPT-enabled assistant, it comes as no surprise that Microsoft is also integrating its aptly named ‘Copilot’ into more products. In fact, their integrations are already being tested by some 600 enterprise customers including the likes of Chevron and Goodyear. Products like Microsoft 365 and Microsoft Viva will be benefiting most from this integration.
Copilot is already incorporated in products like Outlook, OneNote, Viva Learning, Whiteboard and PowerPoint. In Whiteboard, Copilot will enable more creative and effective meetings and brainstorms on Microsoft Teams. You will be able to prompt Copilot to generate and organise ideas, create designs and even summarize Whiteboard content. In OneNote, Copilot will be able to use prompts to draft plans, generate ideas, create lists and even organize information for easier reference. In apps like Outlook and Viva Learning, natural language will be used to customise learning journeys and empower better writing through tips and suggestions as well as designing learning paths for desired outcomes. PowerPoint will be getting a DALL-E infusion which will allow images to be customised to complete presentations.
As is already evident, the AI revolution is picking up steam. AI is quickly going to spur an evolution of work which will put its role in automation to shame. It will find a space nestled in the day-to-day workings of many industries. Workers like us will need to adopt, adapt and integrate generative AI in a way and at a scale that has not been seen before to accomplish more with less hassle.
This article is contributed by Mak Chin Wah, Country Manager, Malaysia and General Manager, Telecoms Systems Business, South Asia, Dell Technologies
As artificial intelligence (AI) technology continues to evolve and grows in capability, it’s becoming a growing presence in every aspect of our lives. One needs to look no further than voice assistants, navigation like Waze, or rideshare apps such as Grab, which Malaysians are familiar with.
From machine learning and deep learning algorithms that automate manufacturing, natural language processing, video analytics and more, to the use of digital twins that virtually simulate, predict and inform decisions based on real-world conditions, AI helps solve critical modern-life challenges to benefit humanity. In fact, we have digital twin technology to thank for assisting in the bioengineering of vaccines to fight COVID-19.
AI is changing not only what we do but also how we do it — faster and more efficiently.
Advancing Human Progress
For companies like Dell Technologies who are committed to advancing human progress, AI will play a big part in developing solutions to the pressing issues of the 21st century. The 2020s, in particular, are ushering in a fully data-driven period in which AI will assist organisations and industries of all sizes to accelerate intelligent outcomes.
Organisations can harness their AI endeavours through high-performance computing (HPC) infrastructure solutions that reduce risk, improve processing speed and deliver deeper insights. By extracting value through AI from the massive amounts of data generated across the entire IT landscape — from the core to the cloud —businesses can better tackle challenges and make discoveries to advance large-scale, global progress.
Continuing to Innovate
Through transformative innovation, customers can derive the insights needed to change the course of discovery. For example, Dell Technologies equipped Monash University Malaysia with top-of-the-line HPC and AI solutions[i] to help accelerate the university’s research and development computing capabilities at its Sunway City campus in Selangor. The solution aims to enhance and accelerate the university’s computation capabilities in solving complex problems across its significant research portfolio.
Financial services, life sciences and oil and gas exploration are just a few of the other computation-intensive applications where enhanced servers will make a difference in achieving meaningful results, for humankind and the planet.
At the heart of AI technology are essential building blocks and solutions that power these activities. For example, Dell’s existing line of PowerEdge servers has already contributed to transformational, life‑changing projects, and will continue to power human progress in this generation and the next.
The most demanding AI projects require servers that offer distinct advantages – specifically built to deliver higher performance and even more powerful supercomputing results, and yet engineered for the coming generation to support the real-time processing requirements and challenges of AI applications with ease.
In addition to helping deploy more secure and better-managed infrastructure for complex AI operations at mind-boggling modelling speeds, these transformative servers will help meet organisations’ biggest concerns in productivity, efficiency and sustainability, while cutting costs and conserving energy.
Transforming Business and Life
While organisations are in different stages with respect to their adoption of AI, the transformational impact on business and life itself can no longer be ignored. Human progress will depend on the ability of AI to make communication easier, personalise content delivery, advance medical research/diagnosis/treatments, track potential pandemics, revolutionise education and implement digital manufacturing. In Malaysia, while AI is progressively being recognised as the new general-purpose technology that will bring about revolutionary economic transformation similar to the Industrial Revolution, adoption of Industry 4.0 remains sluggish with only 15% to 20% of businesses having really embraced it. On the other hand, the government is taking this emerging technology seriously, having set out frameworks for the incorporation of AI by numerous sectors of the economy. These comprise the Malaysia Artificial Intelligence Roadmap 2021-2025 (AI-Rmap) and the Malaysian Digital Economy Blueprint (MDEB), spearheaded by the MyDIGITAL Corporation and the Economic Planning Unit.
Moving Forward
With servers and HPC at the heart of AI, modern infrastructure needs to match the unique requirements of increasingly complex and widely distributed workloads. Regardless of where a business is on the AI journey, the key to optimising outcomes is having the right infrastructure in place, ready to seamlessly scale as the business grows and positioned to take on the unexpected, unknown challenges of the future. To do that requires having the expertise – or a trusted partner that does – to help at any and every stage, from planning through to implementation, to make smart server decisions that will unlock the organisation’s data capital and support AI efforts to move human progress forward.
[i] Based on Dell Technologies helps Monash University Malaysia enhance its R&D capabilities with HPC and AI solutions Media Alert, November 2022
How will we connect with colleagues in five to ten years’ time? Will we all be interacting with holograms? Fully immersed in virtual worlds? Or will the reality be much closer to how most of us work from our laptops today?
Virtual worlds and immersive experiences could offer exciting new ways to connect with others – and our content. And with people more dispersed and working patterns more personalised than before, how we collaborate and get things done has never been more important.
It’s my team’s role to dig into future trends and technologies, experiment with solutions and reimagine experiences. Though immersive environments will play a role in the future of work, face-to-face meetings, instant messages, collaboration tools, and video calls aren’t going anywhere. That’s why we’re focusing on the user experience and honing in on everyday micro-moments that could be disruptive as we potentially bounce between physical, digital and virtual worlds in the future.
We’re asking questions like: How will people interact at the intersections of these worlds? What tools will people need to move between these locations seamlessly? What if people don’t want to wear a headset and dive into a virtual world for 8 hours a day – would they be excluded from future projects or collaboration opportunities?
Intelligent, familiar tools for future interactions
Using Concept Nyx’s ability to deliver compute all around, powered at the edge, we have been exploring how familiar devices and peripherals could be paired with Artificial Intelligence (AI) to work together as an ecosystem to deliver easily accessible and immersive experiences beyond gaming.
Our labs are packed with curated immersive demonstrations and concepts to help us test and explore how Dell could help people move between various spaces and tasks intuitively in the future. From fully immersive Virtual Reality (VR) builds to Mixed Reality (XR) experiences featuring displays and other tools that remove the need for a VR headset, these environments have helped us evolve concepts like the Concept Nyx Companion. As a lightweight tablet-style device that could be viewed and accessed in VR and XR environments, the concept could be a consistent tool throughout all these spaces and could ensure a user’s content is in one place as they move between spaces and tasks. No more taking photos of whiteboards or copying notes to be uploaded to a different space – users could just screenshot their project space and/or easily copy content for sharing across screens.
Together with the Concept Nyx Stylus, you could input notes by voice or via pen, and drag + drop them into digital and virtual collaboration spaces, and even use the voice activation for AI image creation – perfect for non-aspiring artists! All these tools could also seamlessly be used alongside the Concept Nyx Spatial Input in a future desktop environment with a keyboard and mouse, and possibly 3D displays too. We’ve been looking at creative ways to connect these traditional tools for a clutter-free space, and we’ve also been thinking about intuitive gestures for interacting with content – for example, using the tip of the Stylus for writing and the top of the Stylus for interacting with onscreen content or using the Spatial Input as a dial for a 360 view or for zooming in on details.
We’ve even been thinking through how people might show up in future digital and virtual spaces. We’ve all been on video calls where we need to step away for a moment to answer the door or tend to a pet or child off-camera. Instead of leaving a blank screen, empty seat, or static 2015 headshot, imagine with a wave of your hand, you could stay present as an intelligent avatar while you step away or stay off camera completely. To explore this, we’ve been experimenting with gestures and movement tracking and building on our imaging technology and video conferencing expertise to create the Concept Nyx Spatial camera, which when paired with AI software, could learn a user’s expressions and mannerisms to deliver a more authentic representation of them for future interactions.
Advancing the Concept Nyx Ecosystem
From infrastructure to devices, Dell is at the centre of present and future workplaces and is focused on developing the tools that will be needed to navigate these spaces. Right now, this means bringing tools to market like a new generation of UltraSharp conferencing monitors and intelligent webcams with motion-activated controls and presence detection, and building on technologies like storage, 5G, multi-cloud and edge that provide the advanced connectivity and infrastructure to allow organisations to shape how they work. In the future, productivity tools will be connected and intelligent enough to seamlessly move from experience to experience and task to task, helping to break down barriers and redefine how colleagues connect with one another.
My team continues to explore the future of compelling, immersive experiences in both work and play. Concepts play a huge role in allowing our designers, engineers, and strategists to test and tweak devices and solutions to inform future experience roadmaps. We’re excited to keep you updated on our journey!
LG launches its latest solution for quicker, smarter and convenient laundry – the LG WashTower.
Fast, efficient and convenient laundry with the LG WashTower
It is the first fully integrated washer-dryer combo in Malaysia, offering space-efficiency and convenience in one sleek body. Contrary to the conventional washers and dryers sold as combos, the LG WashTower is operated with a single control panel and utilizes AI for crosstalk between the washer and dryer. LG believes that this is the solution for the biggest laundry challenge faced by customers – long washing and drying cycles.
Washer-Dryer teamwork for faster laundry
Space saving sleek body and minimalistic aesthetics
To address this challenge, LG has implemented Smart Pairing between the washer and dryer within the LG WashTower. With the Prepare to Dry feature, it automatically sets the optimal drying cycle based on the previous wash cycle. The washer sends signals to the dryer to begin pre-heating before the wash cycle completion, cutting down on the drying cycle time. The LG WashTower also saves time in the wash cycle using the TurboWash 360 feature, which uses increased water temperature and spray nozzles to jumpstart the wash cycle. Customers can expect and overall reduction of 30% for their laundry time with LG’s latest solution.
Safer and more convenient laundry with LG
While speed may be important, LG also cares about the safety of your clothes with the AI Direct Drive (AI DD) Technology. The WashTower is able to detect the best washing pattern based on the type of fabric. It will adjust the drum motions, water temperature and wash cycle time to help reduce fabric damage by 10 percent, as claimed by LG. With the Dual Inverter Heat Pump technology, drying temperatures can be adjusted based on the drying load and fabric softness to reduce fabric damage and also save energy consumption. All features and operations are accessed from the unified CenterControl panel found at the center of the WashTower. To make things more convenient, the LG WashTower can be also controlled remotely using the LG ThinQ application. It enables remote start or stop of the washing cycle, send notifications on cycle completions and reminders for scheduled maintenance.
A stylish pairing with the LG Laundry Duo
For that special suit, dress or teddy bear, the LG Styler can clean it all
LG is now offering the perfect partner to the LG WashTower, the LG Styler, as a package deal with special pricing. The LG Styler is an all-in-one garment steamer, sanitizer and dry cleaner. For garments that are too delicate for the standard washer-dryer cycles, the Styler is an alternative laundry solution. The highlight feature of the Styler is its Special Care Mode. These are tailor-made modes that can be downloaded through the ThinQ app for the cleaning of special garment types. The Styler would be the perfect laundry solution for suits, satin dresses, even hard to wash household items like pillows and teddy bears. There is also the gentle Dry mode, which uses low temperature drying that is faster than conventional air-drying. It even comes with a handy Pants Crease Care ironing system, where a presser helps hold your pants in place for easy, crease-free ironing.
Spacious interior for multiple garments and a handy Pants Crease Care system.
Pricing and availability
The LG WashTower is available now at RM13,999 while the LG Styler retails for RM 8,499. With the LG Laundry Duo promotion, you can get both at discounted prices of RM 12,999 and RM6,399 respectively. This promotion will be available with the LG Trio Bonanza Sale-brations from now until 31st December 2022. For more information on the LG WashTower and LG Styler, visit the LG Official website and follow LG’s official Facebook page.
The Snapdragon Summit 2022 has unveiled the highly anticipated Snapdragon 8 Gen 2 platform, promising to revolutionize the flagship smartphone experience.
The new Snapdragon 8 Gen 2 unveiled at the Snapdragon Summit 2022
Snapdragon’s highlight event of 2022 held in Hawaii from November 15th to 16th centered around the announcement of the Snapdragon 8 Gen 2. The platform will be adopted by global brands including ASUS, HONOR, iQOO, OnePlus, OPPO, and Redmi to name a few. Expect to see it in commercial devices as early as the end of 2022.
Key Experience Pillars show AI integration systemwide
The new features highlighted by Key Experience Pillars”; Snapdragon Smart, Sight, Elite Gaming, Connect, Sound and Secure
With the latest iteration of the SoC, the Snapdragon 8 Gen 2 offers better performance with the new Qualcomm® Hexagon™ Processor that has a 3.2GHz Arm-Cortex X3 prime core. The mobile platform offers a host of new features, described as six “Key Experience Pillars” by Qualcomm. The first and most central pillar is Snapdragon Smart, which utilizes AI integration across the system. This integration allows faster natural language processing, multi-language translation and advanced AI camera features.
Expect camera performance improvements with Snapdragon Sight, which uses AI to better recognize facial features, hairs and even the sky to allow professional grade image tuning. The platform will support new image sensors and features from other brands such as Sony’s quad digital overlap HDR technology and Samsung’s ISOCELL HP3, the first 200-megapixel image sensor. It also has an AV1 codec with support for video playback up to 8K HDR at 60 frames per second.
Elite Gaming Performance
Enhanced gaming visuals with Ray Tracing thanks to Snapdragon 8 Gen 2
Snapdragon Elite Gaming will be welcome news to gaming fans as the 8 Gen 2 comes with an improved Adreno GPU. The highlight is the mobile platform will have Ray Tracing to further elevate gaming visuals. This will also be the first platform to support Vulkan 1.3 API on top of improved and more efficient performance.
High Speed Connectivity with Wi-Fi 7, improved 5G and dual Bluetooth
Stay connected with low latency WiFI 7, peak 5G speeds and dual Bluetooth.
Connectivity will be improved on the Snapdragon 8 Gen 2 as described in the Snapdragon Connect Experience pillar. Sporting the new Snapdragon X70 5G Modem-RF System with Qualcomm® 5G AI Processor, expect faster than ever 5G speeds and first-in-market to support 5G+5G/4G Dual-SIM Dual-Active. It also features the Qualcomm® FastConnect™ 7800 connectivity system, for low latency Wi-Fi 7 and dual Bluetooth connectivity.
Soundly secure
Snapdragon has also beefed-up security on its new platform, with Snapdragon Secure. Described as premium level protection, it offers the latest tech available to protect your data and privacy with features such as the Qualcomm® 3D Sonic Sensor a Max fingerprint sensors. Finally, expect better audio performance with Snapdragon Sound. It features spatial audio with dynamic head-tracking for better surround-sound experience and supports 48kHz lossless music. Gamers will benefit from the built-in voice backchannel for clearer in-game voice chat and lowest-ever latency at 48ms.
In short, Snapdragon has brought out all the features of a flagship-level mobile platform with more intricate AI utilization as icing on the cake. For a full list of specifications and features, visit the official Snapdragon 8 Gen 2 webpage.
Earlier this year, YouTube has brought a few updates to its platform this included a new feature called Chapters. This feature allowed creators to divide a video into separate chapters using timestamps. Chapters can be useful as it allows users to jump to the parts of the video that most interest them by clicking timestamps in the description or instead of scrubbing the video in the seek bar. That being said, not all videos uploaded comes with chapters as it involved the cumbersome task of manually identifying timestamps which can be a pain to do. To make things a little easier, YouTube has been testing an AI model which can divide videos into chapters on the fly.
To do this, YouTube is deploying AI that will go through a video and identify certain visual markers. These markers will then be used as reference points to break the video into chapters. The algorithm will also recognize certain text-based signs in a video to do the same. According to YouTube, the main purpose of this experiment is to create easy jumping on and off points for viewers, making it easier for viewers to navigate through videos and quickly jump to the relevant part that they desire.
The new feature is currently being tested on a small group of videos by YouTube. Needless to say, YouTube is allowing the creators to opt out from their experiment. That said, YouTube is also encouraging the uploaders to provide feedback on how the feature could be improved.
The COVID-19 Pandemic doesn’t seem to be going away anytime soon. The virus continues to spread drastically and have a devastating effect in areas where outbreaks have occurred. However, since the early days of the pandemic, there have been reports of asymptomatic carriers; these carriers are able to spread the virus without showing any outwardly recognisable signs of infection. This also makes them one of the largest unsolved problems of the current COVID-19 pandemic. This group of individuals are less likely to seek testing and, in turn, be diagnosed and treated.
However, that’s about to change. A group of researchers at the Massachusetts Institute of Technology (MIT) have developed an AI model that has been able to accurately identify asymptomatic carriers based on the way they cough. The AI model has been able to accurately discern and identify 98.5% of coughs from confirmed COVID-19 patients and 100% of asymptomatic carriers.
Using A.I. to Identify Unique Markers in Coughs
The team at MIT, consisting of Jodi Laguarta, Ferran Hueto, and Brian Subirana, developed the mode on a neural network called ResNet50. ResNet50 is a type of neural network that is able to discern and identify differences and similarities in data. Until now, ResNet50 was used primarily in visual discernment. However, the team at MIT has applied it in identifying markers when people cough.
Their model was initially developed to help detect early signs of Alzheimer’s which can present in the way people cough. This include the person’s emotional state, changes in lung and respiratory performance and vocal chord strength. These are known markers for someone who could be experiencing early onset Alzheimer’s.
Using the three criteria, three independent machine learning algorithms were train and then layered on each other. The team also included an algorithm for muscular degeneration on top of the model. In tandem, these machine learning layers made it possible for the team to detect and identify samples from Alzheimer’s patients.
Detecting the Indiscernible
In April, the team looked into applying the AI model to help identify COVID-19 patients. To do this, they established a website where people could record a series of coughs with their mobile phone or any other web enabled device. In addition to their submissions, participants had to fill up a survey of their symptoms, COVID-19 status, and if their method of diagnosis. Other factors such as their native language, geographical location and gender were also collected. They have, to date, collected over 70,000 recordings which amounts to about 200,000 forced cough samples. This is the largest known cough dataset that has been collected so far according to Brian Subirana.
The model proves a long known fact that COVID-19 does in fact affect respiratory function. However, it also draws similarities between the presentation of temporary respiratory degeneration to the neurodegeneration present in Alzheimer’s patients. That said, it also shows that there are sub-clinical presentations of the disease in asymptomatic individuals. The AI algorithm is able to detect and identify individuals with these presentations, providing a much needed boost to potential diagnoses of these individuals.
More significantly, the team has developed a method in which pre-screening can be done to help curb the spread of COVID-19. What’s more, their research could be the foundation of future diagnosis when it comes to sub-clinical presentations of diseases. That said, Brian Subirana highlights that the strengths of the tool lies in its ability to differentiate coughs from asymptomatic carriers from healthy individuals. He also stresses that it is not meant to be used as a definitive test for COVID-19.
