Lenovo adds more mid- and low-end options to laptop range

Source: http://www.engadget.com/2016/02/21/lenovo-yoga-flex-miix-mwc-announcements/

Lenovo has a bunch of new Windows 10 machines to show off at MWC this year, and if you're familiar with the company's Yoga and Miix lines, they'll seem very familiar.

First up is the ultraportable Yoga 710, which comes in 11- and 14-inch sizes. Both have 1080p IPS touch screens, up to 8GB of RAM and up to 256GB SSD storage. The smaller has a choice of Intel Core m processors (up to m5) and integrated Intel graphics, while the larger utilizes 6th-generation Intel Core i processors (up to i7), and up to Nvidia GeForce 940MX graphics. Like all Yogas, the 710's keyboard rotates a full 360 degrees, giving you a choice of laptop mode, stand mode, tent mode, or tablet mode. The 11-inch model starts at $499, while the 14-inch will cost $799. They'll both go on sale this May.

The Flex 4 (called the Yoga 510 internationally) will be available in 14- and 15-inch configurations. It keeps the general Yoga aesthetic, the 1080p displays, the up-to Core i7, 8GB of RAM and 256GB SSD options, but its graphics cap out at an AMD Radeon R7 M460 GPU. It's scheduled for release this April at $599 for the 14-inch, or $699 for the 15-inch.

Lenovo's Miix 310 tablet.

For the super budget-conscious, Lenovo has the MIiix 310, a $229 convertible powered by an Intel Atom X5 8300 CPU with integrated graphics. It has a 10.1-inch "up to 1080p" display, "up to" 4GB of RAM, and "up to" 128GB eMMC storage. There'll also be a model with LTE support, but Lenovo's quiet on the price for that configuration. We suspect the exact pricing will become clearer closer to its release date in June.

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13 jobs that are quickly disappearing thanks to robots

Source: http://www.businessinsider.com/jobs-that-are-quickly-disappearing-thanks-to-robots-2016-2

Christopher Furlong / Getty Images

Thanks in part to automated mail sorting systems, postal workers may be all but obsolete in the not-so-distant future.

By 2024, the US Bureau of Labor Statistics projects a 28% decline in postal-service jobs, totaling around 136,000 fewer positions than 2014.

Mail carriers and processors aren't the only ones whose jobs are disappearing thanks to robots.

Automation technologies that conduct physical, intellectual, or customer service tasks are affecting a variety of fields, most notably metal and plastic machine workers.

Based on the BLS's occupational outlook data, here are 13 jobs that could be on their way out of the US thanks to robots:

US Department of Agriculture

13. Forging Machine Setters, Operators, and Tenders, Metal and Plastic

According to the BLS, they set up, operate, or tend forging machines to taper, shape, or form metal or plastic parts.

Median annual pay: $35,480

Number of people who held this job in the US in 2014: 21,600 

Predicted number of people who will hold this job in 2024: 17,000

Projected decline: 21.5%

Why it's declining: According to the BLS, one of the most important factors influencing employment of manual machine setters, operators, and tenders is the high adoption of labor-saving machinery like computer numerically controlled (CNC) machine tools and robots to improve quality and lower production costs. 

12. Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders (metal and plastic)

According to the BLS, they set up, operate, or tend grinding and related tools that remove excess material or burrs from surfaces, sharpen edges or corners, or buff, hone, or polish metal or plastic work pieces.

Median annual pay: $34,150

Number of people who held this job in the US in 2014: 71,400

Predicted number of people who will hold this job in 2024: 55,800

Projected decline: 21.9%

Why it's declining: According to the BLS, one of the most important factors influencing employment of manual machine setters, operators, and tenders is the high adoption of labor-saving machinery like computer numerically controlled (CNC) machine tools and robots to improve quality and lower production costs. 

11. Patternmakers (metal and plastic)

According to the BLS, they lay out, machine, fit, and assemble castings and parts to metal or plastic foundry patterns, core boxes, or match plates.

Median annual pay: $41,670

Number of people who held this job in the US in 2014: 3,800

Predicted number of people who will hold this job in 2024: 2,900

Projected decline: 23.4%

Why it's declining: According to the BLS, one of the most important factors influencing employment of manual machine setters, operators, and tenders is the high adoption of labor-saving machinery like computer numerically controlled (CNC) machine tools and robots to improve quality and lower production costs. 

See the rest of the story at Business Insider

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This New App Turns Your Phone Into a Portable Seismic Station

Source: http://gizmodo.com/this-new-app-turns-your-phone-into-a-portable-seismic-s-1758712546

Whoa, did you feel that earthquake? Even if you didn’t, your phone did, and a new app from seismologists aims to capture those vibrations in your very own pocket seismology lab.

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UCLA open sources image detector that can see what we can't

Source: http://www.engadget.com/2016/02/12/ucla-open-sources-image-detector-that-can-see-what-we-cant/

UCLA has released the source code to powerful image detection software that can see an object's every detail at high speed -- key for applications like fingerprint and iris scanning, or self-driving cars. It starts by identifying an object's edges and then looking for and extracting its other, fainter features. For instance, if there are items with textured surfaces in the image, the algorithm can recognize and enhance them, as you can see in the example below the fold. It can even see through bright lights to detect their sources' structures, such as lamps, LED lights and even the moon.

The Phase Stretch Transform algorithm was developed by UCLA professor Bahram Jalali, senior researcher Mohammad Asghari and their team. Their project is a spin-off of the university's research on photonic time stretch that can be used to detect cancer cells. It's also the secret behind what UCLA once called the "world's fastest camera" that can capture events that happen very, very fast. The algorithm is now up and available to the public on GitHub and Matlab Central.

Source: UCLA

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Qualcomm's X16 modem could help gigabit LTE work in more places

Source: http://www.engadget.com/2016/02/11/snapdragon-x16-gigabit-lte/

While our wireless carriers bicker over who offers the fastest service, Qualcomm went and pulled back the curtain on the Snapdragon X16 modem, a dry sounding bit of networking tech with huge implications. With it comes the promise of insanely fast gigabit LTE download speeds... but shouldn't hold your breath waiting see your Ookla Speedtest results shoot through the roof.

The X16's secret sauce has two ingredients. First, it uses its four antennas and some clever signal management know-how to connect to 10 LTE data streams from only three carrier-aggregated 20MHz carriers. Long story short, each of those streams can carry data at up to 100Mbps, giving us the magical 1Gbps figure. Second, the X16 supports LTE Advanced Pro, which (among other things) means the modem can play nice when carriers tap into swathes of unlicensed spectrum to increase the number of connections they can have going at one time. Too bad this tech won't wind up in the new Snapdragon 820, though; the first X16-friendly devices should show up in the second half of the year.

Here's the thing, though — as awesome as all of this sounds, the chances of actually full gigabit LTE speeds are slim even if a network operator uses unlicensed spectrum to amplify the number of connections it can hang onto at one time. Given our growing demand for data, though, you can bet that we'll get very close before long. Samsung and Korean wireless carrier KT cooked up a kind of hybrid network tech called GiGA LTE that has a theoretical max speed of 1.17Gbps, though it's not clear how many Galaxy S6 and S6 Edge owners are getting speeds even close to that.

Source: Qualcomm

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