Tag Archives: AI

Accelerating AI-driven outcomes with Powerful Super Computing Solutions

April 25, 2023 Mak Chin Wah Leave a comment

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.

robot pointing on a wall — Photo by Tara Winstead on Pexels.com

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.

woman holding tablet computer — Photo by Roberto Nickson on Pexels.com

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

Computers, Contributed, Gaming, Lifestyle

Concept Nyx and Explorations for the Future of Connection

March 8, 2023 Glen Robson Leave a comment

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!

News

LG WashTower Offers Seamless and Smart Laundry For All

December 10, 2022 Thina Hareesh Leave a comment

LG launches its latest solution for quicker, smarter and convenient laundry – 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

LG WashTower 2 — 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

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.

LG styler inside — 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.

News

Snapdragon 8 Gen 2 announced at Snapdragon Summit 2022

November 25, 2022 Thina Hareesh Leave a comment

The Snapdragon Summit 2022 has unveiled the highly anticipated Snapdragon 8 Gen 2 platform, promising to revolutionize the flagship smartphone experience.

Snapdragon 8 Gen 2 Chip and QRD — 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

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

Snapdragon 8 Gen 2 QRD Gaming — 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

Qualcomm FastConnect7800 Snapdragon 8 Gen 2 — 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.

Health, News

MIT Researchers Develop AI Model that Accurately Identifies Asymptomatic COVID-19 Carriers

November 3, 2020 Nur Jeevan Leave a comment

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.

man in white crew neck t shirt — Photo by cottonbro on Pexels.com

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.

eSports, Gaming, News

[next@Acer] SigridWave Bridges the Language Barrier in eSports

October 21, 2020 Jimmy Chua Leave a comment

Acer’s Planet 9 was launched a year ago as the company’s comitment to the growing eSports scene. The platform allows aspiring professional gamers to hone their skills and collaborate. The vision for this next gen platform is to provide a “training arena” where pros, semipros and enthusiasts can improve their game.

“Planet 9 is a community-oriented platform designed to give gamers everywhere a chance to interact and learn from each other. It is intended to be a social platform that caters to multiple audiences: those looking to improve are introduced to similarly skilled teammates and opponents, likewise, those just looking to chat and enjoy themselves can meet other casual players…”
Andrew Chuang, AVP, Esports Services, IT Products Business, Acer Inc.

Planet9 was designed to bring different eSports communities together in one place, and a major part of the platform is effectively managing and integrating these communities. The platform helps users to find teammates based on a variety of factors such as game type, skill level and time zone. It also gathers and records a wide variety of data such as score, pathing, kill-death ratio and death location. This provides coaches and managers information they can use to help guide their players.

This year, Acer is bringing cutting edge AI to Planet9, its next-generation eSports platform, in the form of the SigridWave In-Game Live AI Translator. SigridWave has been specially designed to handle gaming terminology and jargon. It leverages deep learning technologies to bridge language barriers allowing gamers to communicate no matter where they are from. This is an important step in enhancing the gaming experience.

When SigridWave is deplyed, it will utilise Automatic Speech Recognition (ASR) technology to recognize speech from gamers. It then converts this into strings of text, similar to how smartphones do when you use virtual assistants. This string of text is then recognised using Neural Machine Translation (NMT) technology. The NMT deployed by SigridWave has so far been trained to recognise over 10 million bilingual sentence pairs. This allows it to recognise game specific language and jargon such as “ADS” or “camping”, giving it context awareness. In-game overlays will be supported for League of Legends on launch in late 2020 or early 2021, and support will be made available for additional titles in the future.

The new technology has the potential to take competitive and professional gaming to a whole new level. Together with SigridWave, Acer also unveiled Clubs and Tournaments; two new features that will help players collaborate and compete regularly to up their game. These join a slew of new features designed to enhance competitive play and facilitate communication between brands and players.

Business, Contributed

Four Steps to Accelerate Your Machine Learning Journey

October 20, 2020 Swami Sivasubramanian Leave a comment

This is the golden age of machine learning (ML). Once considered peripheral, ML technology is becoming a core part of businesses around the world, regardless of the industry. By 2021, the International Data Corporation (IDC) estimates that spending on artificial intelligence (AI) and other cognitive technologies will exceed $50 billion.

Locally, 25% of organizations say they are setting aside at least 10% of their budget for technology, which includes investments in big data analytics (64%), cloud computing (57%), Machine Learning and artificial intelligence (33%), and robotic process automation (27%), based on the Malaysian Institute of Accountants’ “MIA-ACCA Business Outlook Report 2020″. [1] As more companies gain awareness of the importance of ML, they should work towards getting it in motion as quickly and effectively as possible.

person using a laptop — Photo by fauxels on Pexels.com

At Amazon, we have been on our own ML journey for more than two decades – applying it to areas like personalization, supply chain management, and forecasting systems for our fulfillment process. Today, there is not a single business function at Amazon that is not made better through machine learning.

Whether your company is just getting started or in the middle of your first implementation, here are the four steps you should take to have a successful machine learning journey.

Get Your Data in Order

When it comes to adopting machine learning, data is often cited as the number one challenge. We found that more than 50% of time spent in building ML models can be spent in data wrangling, data cleanup, and pre-processing stages. Therefore, prioritize investing in the establishment of a strong data strategy to avoid spending excessive time and resources on data cleanup and management.

person holding white printer paper — Photo by bongkarn thanyakij on Pexels.com

When starting out, the three most important questions to ask are:

What data is available today?
What data can be made available?
A year from now, what data will we wish we had started collecting today?

In order to determine what data is available today, you will need to overcome data hugging – the tendency for teams to gatekeep data they work with most closely. Breaking down silos between teams for a more expansive view of the data landscape while still maintaining data governance is crucial for long-term success.

Additionally, identify what data actually matters as part of your machine learning approach. Think about best ways to store data and invest early in the data processing tools for de-identification and/or anonymization, if needed.

Identify the Right Business Problems

When evaluating what and how to apply ML, focus on assessing the problem across three dimensions: data readiness, business impact, and machine learning applicability.

Balancing speed with business value is key. Instead of trying to embark on a three-year ML project, focus on a handful of critical business use cases that could be solved in the upcoming six to 10 months. Start by identifying places where you already have a lot of untapped data and evaluate if machine learning brings benefits. Avoid picking a problem that is flashy but has unclear business value, as it will end up becoming a one-off experiment.

Champion a Culture of Machine Learning

In order to scale, you need to champion a culture of machine learning. At its core, ML is experimentation. Therefore, it is imperative that your organization embrace failures and take a long-term view of what is possible.

high angle photo of robot — Photo by Alex Knight on Pexels.com

Businesses also need to combine a blend of technical and domain experts to work backward from the customer problem. Assembling the right group of people also helps eliminate the cultural barrier to adoption with a quicker buy-in from the business.

Similarly, leaders should constantly find ways to simplify the process of ML adoption for their developers. Since building ML infrastructures at scale is a time and labor-intensive process, leaders should encourage their teams to use tools that cover the entire ML workflow to build, train, and deploy these models efficiently.

For instance, 123RF, a homegrown stock photography portal, aims to make design smarter, faster, and easier for users. To do so, it relies on Amazon Athena, Amazon Kinesis, and AWS Lambda for data pipeline processing. Its newer products like Designs.ai Videomaker uses Amazon Polly to create voice-overs in more than 10 different languages. With AWS, 123RF has maintained flexibility in scaling its infrastructure and shortened product development cycles and is looking to incorporate other services to support its machine learning & AI research.

Develop Your Team

Developing your team is essential to foster a successful machine learning culture. Rather than spending resources to recruit new talent in a competitive market, hone in on developing your company’s internal talent through robust training programs.

group of people sitting indoors — Photo by fauxels on Pexels.com

Years ago, Amazon created an in-house Machine Learning University (MLU) to help its own developers sharpen their ML skills or equip neophytes with tools to get started. We made the same machine learning courses available to all developers through AWS’s Training and Certification offering.

DBS Bank, a Singaporean multinational bank, employed a different approach. It is collaborating with AWS to train its employees to program their own ML-powered AWS DeepRacer autonomous 1/18^th scale car, and race among themselves at the DBS x AWS DeepRacer League. Through this initiative, it aims to train at least 3,000 employees to be conversant in AI and ML by year end.

[1] MIA (Malaysian Institute of Accountants) and ACCA (Association of Chartered Certified Accountants), Business Outlook Report 2020, 2020

News

More A.I. Coming to Search – Google to unveil more during Search On Virtual Event

October 15, 2020 Jimmy Chua Leave a comment

Hot on the heels of the iPhone 12 launch, Google has sent out invites for a live stream event on October 15th at 12PM PT/ 3PM ET (3AM GMT+8/MST) called Search On. Google is looking to highlight how the company is applying the power of AI to help the people to understand the world better.

The event was announced through a brief tweet that revealed little about the virtual event. However, given the company’s focus, you can expect that the search giant will be updating the world, particularly developers, of the new features, services, and products from Google. More interestingly, Google is expected to update the world on how it is updating Search.

The event will be one of a series that has taken the place of I/O this year. The Their events have, in the past, had a singular focus – focusing on Assistant, Maps, and so on; so we are expecting that the search giant will be focusing their keynote on the advancements they will be introducing to Search.

Business, Computers, News

Samsung Holds the AI Forum 2020 via YouTube in November 2020

October 8, 2020 Leeden Tang Leave a comment

‘Samsung AI Forum 2020’ Explores the Future of Artificial Intelligence (A.I.)! This is an interesting forum that highlights the future of AI and a platform to exchange ideas, researches and insights . It will be held via its Youtube channel for two days from the 2^nd November 2020 to 3^rd November 2020. The most exciting part is that the forum gathers industry experts from various industries in a discussion on the future of A.I.

As you know, Samsung is one of the largest technology company in the world and delivers the world with transformative ideas. They make some of the best selling and highly acclaimed electronics in the world too. Samsung technically makes nearly all sort of electronics; including televisions, smartphones, tablets, digital appliances, network systems, LED solutions, memory, and even network systems.

The forum on the first day of the conference, on the 2^nd of November, will be hosted by Samsung Advanced Institute of Technology (SAIT). Dr. Kinam Kim, Vice Chairman and CEO of Device solutions at Samsung Electronics will deliver opening remarks in the forum. There will be no shortage of presentations by the world’s most renowned A.I. Experts on “AI Technologies for Changes in the Real World.”

Many of the professionals will have sharing sessions on day 1 especially the winner of the 2018 Turing Award (it is like the “Nobel Price” in computing), Professor Yoshua Bengio will be co-chairing for the forum in this event. On the first day of the event, the “researcher of the year” award will be presented to the winner as well as a US$ 30,000 prize.

Day 2, themed “Human-Centered AI”, will see Dr. Sebastian Seung the president and head of Samsung Research engage with A.I. experts to deliver a speech and share their different insights. Professor Christopher Manning, a conspicuous expert will also deliver the current status and future of Natural Language Processing (NLP) that required for Human-Centered AI. He has been working with Samsung on Q&A and dialogue modelling on the overall of NLP technologies development.

Samsung’s AI forum, as mentioned earlier, will be held on the 2^nd November 2020 onward. It will be held exclusively on their YouTube page, which also means that it will be absolutely free to watch and ‘attend. You might want to register and look for more information on the Forum in their website too.

techENT

Tag Archives: AI

Accelerating AI-driven outcomes with Powerful Super Computing Solutions

Advancing Human Progress

Continuing to Innovate

Transforming Business and Life

Moving Forward

Concept Nyx and Explorations for the Future of Connection

Intelligent, familiar tools for future interactions

Advancing the Concept Nyx Ecosystem

LG WashTower Offers Seamless and Smart Laundry For All

Washer-Dryer teamwork for faster laundry

Safer and more convenient laundry with LG

A stylish pairing with the LG Laundry Duo

Pricing and availability

Snapdragon 8 Gen 2 announced at Snapdragon Summit 2022

Key Experience Pillars show AI integration systemwide

Elite Gaming Performance

High Speed Connectivity with Wi-Fi 7, improved 5G and dual Bluetooth

Soundly secure

MIT Researchers Develop AI Model that Accurately Identifies Asymptomatic COVID-19 Carriers

Using A.I. to Identify Unique Markers in Coughs

Detecting the Indiscernible

[next@Acer] SigridWave Bridges the Language Barrier in eSports

More A.I. Coming to Search – Google to unveil more during Search On Virtual Event

Samsung Holds the AI Forum 2020 via YouTube in November 2020

Tech Your Way