At this year’s Mobile World Congress, LG unveiled its latest flagship smartphone – the G6. Among other features, the device offers a 5.7” QHD+ display with an 18:9 screen aspect ratio.
At Mobile World Congress in Barcelona this week, LG Electronics revealed that its latest smartphone, the G6, has a new display format with an 18:9 screen aspect ratio.
“Designed in response to consumer feedback and user opinions, the G6is a back-to-basics approach to premium smartphones, with a focus on the features consumers want, most notably a big screen that actually fits in one hand,” the company said in a statement..
LG provided the following information:
The LG G6 comes with a 5.7-inch QHD+ (2,880×1,440 resolution) Full Vision display, and for the first time ever in a smartphone, an 18:9 screen aspect ratio. Compared to conventional 16:9 aspect ratio displays, the 18:9 format offers more viewing space and more immersive experience when streaming videos and playing games. In a G6 Game Collection promotion for G6 buyers, in-game content with a retail value of up to a total of US$200 for six games – Temple Run 2, Spider-Man Unlimited, Crossy Road, SimCity BuildIt, Cookie Jam and Genies & Gems – on Google Play, are offered for free. The games take full advantage of the G6’s immersive Full Vision display and single-handed ease of use.
Even with the large screen featured on the G6, the smartphone is easy to hold and unlike other phones with a similar screen size, the LG G6 fits comfortably in one hand, giving you a big screen experience without the inconvenience of a big phone. In fact, ergonomics research teams led by Dr. Andris Freivalds at Pennsylvania State University and Dr. Ji Yong-guat Yonsei University tested the LG G6 for stability when holding the phone, comfort in various postures and actions, as well as muscle fatigue when using the smartphone for long periods. The LG G6 received the highest marks in all test categories.
Sculpted from aluminum and glass, which comes in platinum, the LG G6 features a minimalist design that’s sleek all-round and perfectly smooth to the touch. The metal frame that wraps around the perimeter of the phone imparts solidity in style with a soft matte finish and the back is perfectly flat, with no camera bump to avoid or protect. Complimented by narrow bezels, the upper bezel was minimized by rearranging the camera, sensor and speaker in a row on the front upper side. The rounded corners of both the body and display not only unify the design but also dispersing the impact if the phone is dropped.
The LG G6 is the first smartphone to feature Dolby Vision technology. But not only does it support Dolby Vision, the G6 also supports HDR 10, both of which are standards for High Dynamic Range (HDR), the picture quality technology which allows for a wider range of color and luminosity, wherein both the darkest and the brightest areas are more vivid, revealing greater detail for a truly immersive viewing experience.
With smartphone screen sizes getting bigger and the speed of the Internet becoming faster, LG decided to support two HDR standards for viewers to have access to as much content as possible. With HDR content from Netflix and Amazon on the rise, watch popular shows in stunning HDR quality on the LG G6. Amazon will also increasingly create 18:9 content for a cinematic viewing experience on the 18:9 QHD+ display.
With the LG G6, you don’t need to ask people in the picture to reposition, cram together or find another place to stand in order to get everything in, simply choose between standard and wide angle settings. And with dual 13MP rear cameras, including a 125-degreelens on the wide angle, the LG G6 captures panoramic shots that regular phones cameras can’t. The G6 delivers an outstanding and unique camera experience by creating seamless transitions when zooming in and out between the wide-angle and standard camera lenses even during 4K video capture. The G6 also comes with an expanded 100-degree field of view with its 5MP front camera, which means users can take selfies or wefies without the need for a selfie stick. Plus, the wide angle camera reduces edge distortion, which makes for more natural images.
Square Up and Share
And to view selfies, wefies, wide angle pictures and even the ones in the new Square Camera Mode, recent LG G6 photos appear in one window in film mode which means users don’t need to move to their gallery to review them. The G6 provides a Square Camera function which divides the 18:9 ratio display into two identical squares. The LG G6 can also take perfectly square photos in 1:1ratio, ideal for Instagram, Snapchat and other social media apps. Users can also choose other ratios such as 4:3, 16:9 and 18:9. Users can also take pictures in 1:1 ratio in one window, while checking, editing and uploading pictures in another window immediately after shooting. What’s more, users can create GIFs by combining between 2 and 100 photos from the gallery.
The LG G6 can go just about anywhere without worry thanks to its IP68 water and dust resistance that makes it safe to be immersed in up to 1.5 meters of water for as long as 30 minutes. You can worry less about accidental drops and other rough environments during everyday use because the LG G6 has been designed and built to be dependable even when the going gets rough.
And the LG G6 not only meets international testing standards but also endures further tests for high temperatures and nail penetration and uses a proprietary technology that dissipates heat via an internal heat pipe, the first in an LG smartphone. To further disperse heat inside the unit, LG engineers positioned the components most prone to overheating as far from each other as possible.
“The LG G6 offers users new visual and manual experiences, as it marries an expanded screen with the convenience of one-handed use,” said Juno Cho, president of LG Electronics Mobile Communications Company. “LG will continue to lead smartphone innovation with a focus on convenience and reliability in order to exceed consumer expectations.”
- Chipset: Qualcomm Snapdragon 821 Processor
- Display:5.7-inch 18:9 QHD+FullVision Display(2880 x 1440 / 564ppi)
- Memory:4GB LPDDR4 RAM / 32GB or 64GB UFS 2.0 ROM / MicroSD (up to 2TB)
- Camera: Front 5MP Wide (F2.2 / 100°)
Rear Dual: 13MP Wide (F2.4 / 125°) / 13MP Standard OIS 2.0 (F1.8 / 71°)
- Battery:3,300mAh (embedded)
- Operating System:Android 7.0 Nougat
- Size:148.9 x 71.9 x 7.9mm
- Weight: 163g
- Network: LTE-A 3 Band CA
- Connectivity: Wi-Fi 802.11 a, b, g, n, ac / Bluetooth 4.2 BLE / NFC /USB Type-C 2.0 (3.1compatible)
- Colors: Astro Black / Ice Platinum /Mystic White
- Other:Water and Dust Resistant /Fingerprint Sensor / UX 6.0 / Dolby Vision™/HDR10 / Qualcomm Quick Charge 3.0 / 32-bit Hi-Fi Quad DAC
Now IBM’s Watson joins IoT revolution in agriculture
Global expansion of the Watson Decision Platform taps into AI, weather and IoT data to boost production
IBM has announced the global expansion of Watson Decision Platform for Agriculture, with AI technology tailored for new crops and specific regions to help feed a growing population. For the first time, IBM is providing a global agriculture solution that combines predictive technology with data from The Weather Company, an IBM Business, and IoT data to help give farmers around the world greater insights about planning, ploughing, planting, spraying and harvesting.
By 2050, the world will need to feed two billion more people without an increase in arable land . IBM is combining power weather data – including historical, current and forecast data and weather prediction models from The Weather Company – with crop models to help improve yield forecast accuracy, generate value, and increase both farm production and profitability.
Roric Paulman, owner/operator of Paulman Farms in Southwest Nebraska, said: “As a farmer, the wild card is always weather. IBM overlays weather details with my own data and historical information to help me apply, verify, and make decisions. For example, our farm is in a highly restricted water basin, so the ability to better anticipate rain not only saves me money but also helps me save precious natural resources.”
New crop models include corn, wheat, soy, cotton, sorghum, barley, sugar cane and potato, with more coming soon. These models will now be available in the Africa, U.S. Canada, Mexico, and Brazil, as well as new markets across Europe and Australia.
Kristen Lauria, general manager of Watson Media and Weather Solutions at IBM, said: “These days farmers don’t just farm food, they also cultivate data – from drones flying over fields to smart irrigation systems, and IoT sensors affixed to combines, seeders, sprayers and other equipment. Most of the time, this data is left on the vine — never analysed or used to derive insights. Watson Decision Platform for Agriculture aims to change that by offering tools and solutions to help growers make more informed decisions about their crops.”
The average farm generates an estimated 500,000 data points per day, which will grow to 4 million data points by 2036 . Applying AI and analysis to aggregated field, machine and environmental data can help improve shared insights between growers and enterprises across the agriculture ecosystem. With a better view of the fields, growers can see what’s working on certain farms and share best practices with other farmers. The platform assesses data in an electronic field record to identify and communicate crop management patterns and insights. Enterprise businesses such as food companies, grain processors, or produce distributors can then work with farmers to leverage those insights. It helps track crop yield as well as the environmental, weather and plant biologic conditions that go into a good or bad yield, such as irrigation management, pest and disease risk analysis and cohort analysis for comparing similar subsets of fields.
The result isn’t just more productive farmers. Watson Decision Platform for Agriculture could help a livestock company eliminate a certain mold or fungus from feed supply grains or help identify the best crop irrigation practices for farmers to use in drought-stricken areas like California. It could help deliver the perfect French fry for a fast food chain that needs longer – not fatter – potatoes from its network of growers. Or it could help a beer distributor produce a more affordable premium beer by growing higher quality barley that meets the standard required to become malting barley.
Watson Decision Platform for Agriculture is built on IBM PAIRS Geoscope from IBM Research, which quickly processes massive, complex geospatial and time-based datasets collected by satellites, drones, aerial flights, millions of IoT sensors and weather models. It crunches large, complex data and creates insights quickly and easily so farmers and food companies can focus on growing crops for global communities.
IBM and The Weather Company help the agriculture industry find value in weather insights. IBM Research collaborates with start up Hello Tractor to integrate The Weather Company data, remote sensing data (e.g., satellite), and IoT data from tractors. IBM also works with crop nutrition leader Yara to include hyperlocal weather forecasts in its digital platform for real-time recommendations, tailored to specific fields or crops. IBM acquired The Weather Company in 2016 and has since been helping clients better understand and mitigate the cost of weather on their businesses. The global expansion of Watson Decision Platform for Agriculture is the latest innovation in IBM’s efforts to make weather a more predictable business consideration. Also just announced, Weather Signals is a new AI-based tool that merges The Weather Company data with a company’s own operations data to reveal how minor fluctuations in weather affects business.
The combination of rich weather forecast data from The Weather Company and IBM’s AI and Cloud technologies is designed to provide a unique capability, which is being leveraged by agriculture, energy and utility companies, airlines, retailers and many others to make informed business decisions.
 The UN Department of Economic and Social Affairs, “World Population Prospects: The 2017 Revision”
 Business Insider Intelligence, 2016 report: https://www.businessinsider.com/internet-of-things-smart-agriculture-2016-10
What if Amazon used AI to take on factories?
By ANTONY BOURNE, IFS Global Industry Director for Manufacturing
Amazon recently announced record profits of $3.03bn, breaking its own record for the third consecutive time. However, Amazon appears to be at a crossroads as to where it heads next. Beyond pouring additional energy into Amazon Prime, many have wondered whether the company may decide to enter an entirely new sector such as manufacturing to drive future growth, after all, it seems a logical step for the company with its finger in so many pies.
At this point, it is unclear whether Amazon would truly ‘get its hands dirty’ by manufacturing its own products on a grand scale. But what if it did? It’s worth exploring this reality. What if Amazon did decide to move into manufacturing, a sector dominated by traditional firms and one that is yet to see an explosive tech rival enter? After all, many similarly positioned tech giants have stuck to providing data analytics services or consulting to these firms rather than genuinely engaging with and analysing manufacturing techniques directly.
If Amazon did factories
If Amazon decided to take a step into manufacturing, it is likely that they could use the Echo range as a template of what AI can achieve. In recent years,Amazon gained expertise on the way to designing its Echo home speaker range that features Alexa, an artificial intelligence and IoT-based digital assistant.Amazon could replicate a similar form with the deployment of AI and Industrial IoT (IIoT) to create an autonomously-run smart manufacturing plant. Such a plant could feature IIoT sensors to enable the machinery to be run remotely and self-aware; managing external inputs and outputs such as supply deliveries and the shipping of finished goods. Just-in-time logistics would remove the need for warehousing while other machines could be placed in charge of maintenance using AI and remote access. Through this, Amazon could radically reduce the need for human labour and interaction in manufacturing as the use of AI, IIoT and data analytics will leave only the human role for monitoring and strategic evaluation. Amazon has been using autonomous robots in their logistics and distribution centres since 2017. As demonstrated with the Echo range, this technology is available now, with the full capabilities of Blockchain and 5G soon to be realised and allowing an exponentially-increased amount of data to be received, processed and communicated.
Manufacturing with knowledge
Theorising what Amazon’s manufacturing debut would look like provides a stark learning opportunity for traditional manufacturers. After all, wheneverAmazon has entered the fray in other traditional industries such as retail and logistics, the sector has never remained the same again. The key takeaway for manufacturers is that now is the time to start leveraging the sort of technologies and approaches to data management that Amazon is already doing in its current operations. When thinking about how to implement AI and new technologies in existing environments, specific end-business goals and targets must be considered, or else the end result will fail to live up to the most optimistic of expectations. As with any target and goal, the more targeted your objectives, the more competitive and transformative your results. Once specific targets and deliverables have been considered, the resources and methods of implementation must also be considered. As Amazon did with early automation of their distribution and logistics centres, manufacturers need to implement change gradually and be focused on achieving small and incremental results that will generate wider momentum and the appetite to lead more expansive changes.
In implementing newer technologies, manufacturers need to bear in mind two fundamental aspects of implementation: software and hardware solutions. Enterprise Resource Planning (ERP) software, which is increasingly bolstered by AI, will enable manufacturers to leverage the data from connected IoT devices, sensors, and automated systems from the factory floor and the wider business. ERP software will be the key to making strategic decisions and executing routine operational tasks more efficiently. This will allow manufacturers to keep on top of trends and deliver real-time forecasting and spot any potential problems before they impact the wider business.
As for the hardware, stock management drones and sensor-embedded hardware will be the eyes through which manufacturers view the impact emerging technologies bring to their operations. Unlike manual stock audits and counting, drones with AI capabilities can monitor stock intelligently around production so that operations are not disrupted or halted. Manufacturers will be able to see what is working, what is going wrong, and where there is potential for further improvement and change.
Knowledge for manufacturing
For many traditional manufacturers, they may see Amazon as a looming threat, and smart-factory technologies such as AI and Robotic Process Automation (RPA) as a far off utopia. However, 2019 presents a perfect opportunity for manufacturers themselves to really determine how the tech giants and emerging technologies will affect the industry. Technologies such as AI and IoT are available today; and the full benefits of these technologies will only deepen as they are implemented alongside the maturing of other emerging technologies such as 5G and Blockchain in the next 3-5 years. Manufacturers need to analyse the needs which these technologies can address and produce a proper plan on how to gradually implement these technologies to address specific targets and deliverables. AI-based software and hardware solutions will fundamentally revolutionise manufacturing, yet for 2019, manufacturers just have to be willing to make the first steps in modernisation.