Sarah Huckabee Sanders Offers to Lie for Free During Shutdown | The New Yorker


Sanders said that Donald Trump had asked that she keep a full accounting of the lies she told during the shutdown so that she could be reimbursed for them later, but she turned down that offer. “I’ve often said that I like to lie so much I would do it for free,” she said. “This is a chance to put my money where my mouth is.”

The press secretary said that her offer had already inspired other top Administration figures to lie for free during the shutdown, including Vice-President Mike Pence, Attorney General Jeff Sessions, and White House doctor Ronny Jackson.

Source: Sarah Huckabee Sanders Offers to Lie for Free During Shutdown | The New Yorker

Live coverage: Senate set for noon showdown | TheHill


The Monday floor drama comes as the government shutdown is in its third day after Senate Majority Leader Mitch McConnell (R-Ky.) and Senate Minority Leader Charles Schumer (D-N.Y.) failed to reach a deal over the weekend.

Source: Live coverage: Senate set for noon showdown | TheHill

AirSpaceX presents MOBi-ONE autonomous, electric VTOL aircraft at Detroit auto show | Intelligent Aerospace


The MOBi-ONE autonomous, electric vertical take-off and landing (VTOL) aircraft from Airspace Experience Technologies LLC (AirSpaceX) is able to take off autonomously like a helicopter, fly like a plane, and transport passengers or cargo between urban centers, suburbs, and airports within 60 miles, officials say.

MOBi-ONE leverages existing electric vehicle (EV) architecture and autonomous technologies to achieve a top flying speed of 250 miles per hour (MPH).

Source: AirSpaceX presents MOBi-ONE autonomous, electric VTOL aircraft at Detroit auto show – Intelligent Aerospace

VIP Central | Next Generation Memory Technology for Graphics, Networking and HPC


In this era of revolutionary technologies, memory plays a vital role in any application that requires high-speed processing. High-resolution graphics require high-speed and high-bandwidth graphics memory, resulting in rapid adoption of next generation memory technology High-Bandwidth Memory (HBM).

HBM is finding its way into leading-edge graphics, networking, HPC (High Performance Computing), and Artificial Intelligence systems; for example, decoders for a video signal, fully autonomous vehicles, neural network designs, and other advanced applications that demand low power and massive bandwidth.

Our previous memory blog – Next generation memory technologies: Ready to take the verification challenges?, discussed several next generation memory technologies across applications.

This blog will review the details of HBM, a next generation memory technology for graphics, networking and HPC.

Source: VIP Central > Next Generation Memory Technology for Graphics, Networking and HPC

Top transformative technology trends of 2018 | IHS Markit


IHS Markit has identified eight transformative technologies to watch in 2018. Some are new, and some are rapidly evolving-and even teaming up-in ways that are disrupting industries and fueling innovation at lightning speed.

  1. Artificial Intelligence (AI)
  2. Internet of Things (IoT)
  3. Cloud and virtualization
  4. Connectivity
  5. Ubiquitous video
  6. Computer vision
  7. Robots and drones
  8. Blockchain

Download the full PDF

Source: Top transformative technology trends of 2018 | IHS Markit

Rapid prototyping: Develop the next great IoT app


With 30 billion connected devices expected by 2020, IoT apps will need to be developed fast. But do we have the talent and time to meet that demand?

One big issue likely to emerge with the continued growth of IoT and connected devices is a lack of suitably qualified and experienced hardware engineers. Unlike software, where it’s possible for people to teach themselves easily and cheaply with nothing but a computer and some free time, hardware development requires a lot more investment in terms of time and money.

A similar problem comes for existing app developers who already have the knowledge and the ideas to make a great product but lack the time or money to acquire the hardware knowledge from scratch.

Source: Rapid prototyping: Develop the next great IoT app

The Future of Healthcare May Reside in Your Smart Clothes | Medical, eHealth & Home Health


Smart clothing is seen as a way to revolutionize the practice of healthcare, and it’s hoped that a widespread use of garments used to monitor health or help with treatment could reduce reliance on costly equipment and a heavily burdened healthcare system.

Clothing that can track chronic disease or conditions, help with a growing aging population, or make patients more comfortable during a stay at a hospital or treatment facility is seen as a way to create value, boost health insights, and reduce costs.

E-textiles are designed to feel comfortable on the skin but at the same time be functional. These smart fabrics consist of traditional fabric woven with conductive fibers as well as electronic elements such as biomedical sensors, microcontrollers, fiber optics and wearable antennas, such as Mouser’s line of Internet of Things system-on-modules.

An example of a biomedical sensor that could be used in e-textile applications is the Analog Devices’ AD8232/33 Heart Rate Monitor Front End . It is an integrated signal conditioning block for ECG and other biopotential measurement applications, designed to extract, amplify, and filter small biopotential signals in the presence of noisy conditions.

The Intel® Edison development platform is designed to lower the barriers to entry for a range of inventors, entrepreneurs, and consumer product designers to rapidly prototype and produce “Internet of Things” (IoT) and wearable computing products. It is both a system-on-module solution and an item that incorporates a wearable antenna.

Source: The Future of Healthcare May Reside in Your Smart Clothes | Medical, eHealth & Home Health

Arm Technology | AI Technology and Employment


We can find a good example of how a technological leap drove a shift in employment patterns across several sectors by looking to the agricultural revolution.

In the early 1800s, agriculture was the major employment sector. However, at this time the introduction of machinery meant that some farm workers lost their jobs. Some of these workers migrated to the newly created agricultural machine industry and began building the very machines that had cost them their jobs.

A secondary effect was greater efficiency, which meant that food became cheaper to produce, therefore prices began to fall significantly. People were spending significantly less of their disposable income on food, freeing up money to spend on other goods and services. The increased demand for these goods and services boosted employment in these sectors as well.

Until now it has been true that many tasks that are difficult for humans are easy for computers, and vice-versa. In general, computers were seen to be good with routine tasks, such as complex calculations, whereas humans retained an edge in recognizing faces or objects.

AI technology will inevitably change the balance here and, due to machine learning techniques, is already making significant headway into facial and pattern recognition.

Source: Arm Technology » AI Technology and Employment

A Primer in Voice Interface Technology | Embedded Processing & DSP


Speech recognition has been around in some form since the 1950s, when engineers at Bell Labs built a system to recognize individual digits.

Speech recognition is only one aspect of a complete voice interface, however. A voice interface incorporates all aspects of a traditional user interface: it should be able to present information and provide a way for users to control it.

What took voice recognition from afterthought to the darling of the computing world?

First, there came significant improvements in both computing power and algorithm performance (bonus points if you know what a hidden Markov model is). Then, the ability to leverage cloud technologies and big data analytics improved speech-recognition algorithm training and increased the speed and accuracy of recognition.

Source: A Primer in Voice Interface Technology | Embedded Processing & DSP

Successfully Orchestrating Sensor Networks | Embedded Intel® Solutions


Clouds and the multiple ways they can store, analyze, and generate data on demand have become indispensable for many OEMs. Uses include monitoring and controling decentralized smart home automation, building control, and facility management systems.

Yet in practice, it is often difficult to process and transfer decentralized sensor data. This is mainly due to the endless variety of distributed logic in the field.

Inconsistent data, protocols, and transmission media as well as heterogeneous operating systems and proprietary interfaces to different cloud providers all too often result in fragmented and complicated implementation despite the large cloud potential.

So how do you simplify the process of getting sensor data into the cloud?

Hardware manufacturers have gone to great efforts to develop attractive solutions for connecting sensor networks in smart homes, buildings and intelligent facilities. Depending on field requirements, very different options have emerged.

There are gateways for specific application fields, such as the FlexGate gateway from EXPEMB, optimized for LoRa and perfectly suited for deep indoor smart metering.

Source: Successfully Orchestrating Sensor Networks | Embedded Intel® Solutions