At the IFA 2016 expo in Berlin this week, Lenovo launched the Yoga Book, claimed to be the world’s thinnest and lightest 2-in-1 tablet, designed for productivity while on-the-go.
The Yoga Book is built for mobility and to solve the most common challenge among tablet users: how to achieve productivity and entertainment in one device.
“Until now, we’ve been using tablets in ways we weren’t meant to: for productivity, for example, which becomes painful when typing or applying a stylus onto a touch screen that you’re using on-the-go,” Lenovo declared in a statement it released on Thursday. “The Yoga Book removes that difficulty by taking the fundamental building blocks from the DNA of what makes a great tablet – namely portability, long battery life and a rich app ecosystem – and entwines it into a strand of creativity and productivity through a suite of powerful new hardware and software features.”
• Instant halo keyboard
• Dual-use stylus that writes on paper and screen
• Productivity-driven Book UI
“We set out to redefine the tablet category conundrum, namely that consumers no longer separate their activities into productivity and entertainment – it all blends together, and so should the device they use,” said Jeff Meredith, vice president and general manager, Android and Chrome Computing, Lenovo. “The Yoga Book introduces keyboard and handwriting input capability in an elegantly simple, unconventionally slender tablet design. We believe our unique design will offer tablet, 2-in-1 and traditional notebook buyers a first-of-its-kind option for evolving usage trends.”
Lenovo provided the following information:
With two panels that open up like an ultra-thin notebook, the Yoga Book is unconventionally slender and light years removed from the tablet that you’re accustomed to using on the go or while sitting in your home. As the world’s thinnest 2-in-1, the Yoga Book is 9.6mm closed, tapering to 4.05mm at its slimmest edge – a thickness of just under three pennies. And because it’s also the lightest 2-in-1 in the world at 690 grams (1.52 pounds), the Yoga Book is made to match the mobility of a smartphone, so you can easily hold and carry, just like a book. Users who take the Yoga Book with them on day trips have the option to work anywhere – on a busy commute, in a packed waiting room or on a crowded countertop – if and when they feel like it, thanks to the thin and light design, 15-hour battery life and a watchband hinge that folds 360 degrees. And if users don’t feel like working, they’ll have a top-of-the-line entertainment tablet to keep them company, with a 10.1-inch IPS FHD screen, high-quality sound enhanced with Dolby Atmos and 64GB of memory.
Instant Halo Keyboard
The Yoga Book’s first productivity feature is also what makes the thin and light design possible: the halo keyboard, a full touch screen backlit keyboard that weaves software and hardware into one fluid interface. The touch screen is made with glass that was meticulously chosen to give a rough, matte feel and finish, along with anti-glare coating to ensure the best possible touch-typing experience. The keyboard lacks any physical keys, showing up as a solid white outline on the Yoga Book’s second panel only when it’s needed. The halo keyboard constantly ‘learns about and adapts to’ the typing habits of its user, with built-in prediction and artificial learning software. This software also allows for continuous optimization. Along with built-in, sensitive haptic technology, which enables touch feedback to guide typing and reduce mistakes, the halo keyboard far surpasses the typing experience and speed of a normal tablet, and is comparable with that of a physical keyboard.
Real-Pen Accessory – Dual Use Stylus
The flush surface of the halo keyboard feature also allows for a few additional uses when paired with the Yoga Book’s standard real-pen accessory, a dual-use stylus. Inspired by the elegance and simplicity of real notebooks, Yoga Book is an acknowledgement that we all still love to write and draw on paper. Users can now write with the real-pen accessory that holds real ink tips onto a piece of paper or notepad covering the multi-use keyboard panel, or as a stylus when applied straight onto the panel. Everything they create, from doodles and drawings to notes, is instantly digitized and saved with the Lenovo note-saving app. Roughly the size of a conventional ink pen, the real-pen accessory is powered by Wacom feel IT technologies to work with the state-of-the-art electro-magnetic resonance (EMR) film housed within the multi-use keyboard, which enables this real-time digitization.
The multi-use keyboard and real-pen accessory recreate the natural feel of drawing flat on a paper surface instead of directly onto a computer screen, without having to block parts of the art work with the hand or stylus. Or you can draw directly on the screen as well, depending on preference. The real-pen accessory can draw with the precision of a pencil or paintbrush, with 2,048 pressure levels and 100-degree angle detection. In addition, you’ll never have to charge or replace it – the real-pen accessory doesn’t require batteries and its ink can be replaced with standard ink tips, just like that of a conventional pen.
Book UI and Hinge
As a 2-in-1 that weaves together both hardware and software, Yoga Book truly brings work and play into one tablet through the Book UI, the Yoga Book’s specially adapted Android 6.0 operating system that draws from the best UI features of laptops and tablets. The Book UI allows several apps to run at once through multiple windows that can be pinned, maximized or minimized, as well as a taskbar that keeps track of your apps and common Windows keyboard shortcuts and action keys. This additional new workload is easily handled by the Yoga Book’s powerful Intel Atom X5 processor and 4GB of memory. And Windows users also have the option to work on that platform, as the Yoga Book is available on Windows 10.
Constructed from a combination of magnesium and aluminium alloys, the Yoga Book is robust in build and guaranteed to turn heads. As with all Yoga products, it has the distinctive watchband-style hinge. This time, the hinge is engineered to be smaller and features a custom-made three-axis hinge, with 130 different mechanical pieces comprising five different materials. Lab tested more than 25,000 times, the Yoga Book form offers a smooth, seamless transition between the four modes – Browse, Watch, Create and Type. The Yoga Book with Android is available in Gold or Gunmetal, while the Yoga Book with Windows comes in Carbon Black.
Pricing for the Yoga Book will start at €499 for the Android version and €599 for the Windows version. Pricing and availability may vary from country to country. All will be globally available beginning in September. In the US, the Yoga Book will be sold online and at Walmart stores nationwide by the end of October.
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.