头条新闻

MATLAB and Simulink behind today’s news and trends

2018年的前十名“标题后面”故事

再一次,科学技术起到了重要role in some this year’s biggest stories. The Behind the Headlines blog covered many of these by explaining how MATLAB and Simulink were behind the scenes, helping engineers, scientists, and researchers innovate around the world. Here are our top ten stories of the year, based which posts our MATLAB users and STEM audiences read the most.

10. Machine learning to the rescue – When you just cannot hold still for an MRI

从华盛顿大学医学院和俄勒冈州健康与科学大学开始的研究是2018年的前十名。该团队开发了一个系统,该系统使用在MRI扫描期间使用患者运动的实时统计数据来发出扫描收集足够的信息以进行有效结果,从而降低MRI的时间和成本何时降低50%或更多。

Image Credit: Washington University.

Image Credit: Washington University.

9. Star Trek-inspired solid-state airplane takes to the sky without moving parts

2018年第九名的故事是本月初发布的!来自麻省理工学院的研究人员受到《星际迷航》的飞艇的启发,这些飞艇无声地穿过空中,演示了有史以来第一个固态飞机。该设计使用离子风进行推进。

A general blueprint for an MIT plane propelled by ionic wind. The system may be used to propel small drones and even lightweight aircraft, as an alternative to fossil fuel propulsion. Image Credit: MIT Electric Aircraft Initiative.

8.有史以来最好的琐事问题!

今年排名第八的故事几乎可以保证是年度琐事。在琐事之夜,问您的朋友:“什么是scutoid?”尽管他们从头到脚都被掩盖了,但他们不知道。事实是,直到最近才知道,刚刚发现了师范,因此最近才命名。

图片来源:HowStuffWorks.com

7.上周在全球范围内设定的历史热记录:一些出色的气候视觉效果

Climate change came to life in some stunning, yet scary, climate visuals in story number seven.

7月3日,美国(GFS)天气模型在地面两米处的最高温度模拟。图片来源:美国缅因大学气候变化研究所。

这篇文章分享了三种不同的气候可视化,其中包括一位在夏至中在全球范围内联合的气象学家。(并被发现在特斯拉!)#Metsunite。

图片来源:electrek.co

6. Bug Brain Beats机器学习

Living organisms have long provided inspiration for technology, from the invention of Velcro (based on seed burs) to winged aircraft. The story at number six for 2018 shows how biomimicry is being extended to artificial intelligence (AI).

使用AI,机器采用了自然的认知功能,例如学习和解决问题。人工神经网络(ANNS)通过创建受生物的大脑启发的计算系统,将仿生系统进一步发展。基于蛾的大脑的神经网络优于机器学习。

绿色线突出了Mothnet,人工神经网络和蓝线的途径是生物学途径。图片来源:Delahunt和Kutz。

5.现在潜艇可以与飞机和无人机无线通信

At number five, MIT’s new wireless communication technique tackles the issue of how sonar (used by submarines) and radar (used by planes and drones) can’t cross the air-water boundary. MIT designed a new system which transmits a sonar signal directly to the water’s surface. The signal causes small vibrations at the surface. A highly-sensitive millimeter wave receiver reads and decodes the tiny disturbances, converting sonar directly to radar. It lets planes and drones monitor the water’s surface for incoming messages from subs and underwater drones.

跨边界通信的三个选项。(a)RF到RF通信由于信号衰减而失败。(b)声音通信由于声音反射而失败。(c)TARF利用声波到无线电波来成功交流。图片来源:麻省理工学院媒体实验室

根据IEEE光谱“现在,麻省理工学院的一个团队已经开发了一种技术,可以使水下源直接与表面上方的接收者进行通信。它对潜艇不仅有用 - 在水上探索和海洋保护也可能受益。”

4. Microscope creates first-ever 3D video of living cells inside the body using MATLAB

What do you get when you combine state-of-the-art microscopy with a technique used by astronomers to get a clear view of celestial objects through atmospheric turbulence? You get a new form of microscopy that lets you see stunning 3D movies of cells deep within living systems. For example, the video clip below shows a cancer cell (in green) invading a blood vessel (purple). Check out the whole blog post to see more amazing images captured by the AO-LLS microscope developed by physicist Eric Betzig and a team of researchers from Harvard University and the Howard Hughes Medical Institute.

图片来源:T。Liu等人/Science 2018

3.大脑映射显示双手移植后孩子的大脑“重新连接”

The story that occupies the third sport in 2018 is about an amazing kid! At age 2, Zion Harvey had his hands amputated due to a life-threatening infection. At age 8, he was the first child to receive a double hand transplant. U.S. News and World Report stated, “Now he’s gaining notoriety for another milestone: the way his brain reorganized itself in response to the amputation and transplantation.”

九岁的锡安·哈维(Zion Harvey)在巴尔的摩金莺队(Baltimore Orioles)比赛中抛出了第一个球场。图片来源:NBC新闻 / Gail Burton / AP

Researchers utilized a non-invasive neuroimaging technique to collect data on how Zion’s brain reacted to stimuli on his new hands and then used头脑风暴to perform data analysis for this study. They found his brain was re-learning to feel sensations in his hands.

2.成像算法使您可以看到激光脉冲的角落周围

The second most popular post in 2018 shared a newly-developed imaging algorithm that uses laser pulses to see objects that aren’t in the line of sight. Stanford University’s system can detect objects, in 3D, that are hidden behind walls and around corners. The system uses an algorithm, created with MATLAB, that computationally reconstructs objects hidden from view.

Image credit: Stanford Computational Imaging Lab.

1. The laurel vs. yanny debate… Did someone tamper with the sound file?

The top story for 2018 wasn’t关于科学或技术,而是如何科学技术可以找到世界(不是)关键问题的答案。当其他人显然听到“ Yanny”时,为什么有些人听到“月桂树”?

当蓝色连衣裙/金色连衣裙争议笼罩着互联网时,我们有时了解到您无法相信自己的所见。这个故事对声音也是如此。幸运的是,基于小波的信号处理技术可以确定混淆背后的推理。阅读完整的帖子以了解如何。

现在,一些故事成为头条新闻!

如果您喜欢“头条新闻”,请查看这些故事关于我们客户正在研究的一些研究和产品。s manbetx 845来自乌干达最近的一群毕业生解决肺炎误诊问题这声称在他们的国家中有很多儿童的生活,如何农民正在转向AI为了提高生产和养活我们地球不断增长的人口,这些故事分享了科学技术如何在全球产生影响。

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