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Dec 9, 2020

Hyundai to acquire Boston Dynamics for nearly $1B

Posted by in categories: economics, robotics/AI

Boston Dynamics Atlas robot.

Hyundai Motor will acquire Boston Dynamics. The acquisition will be finalized at Hyundai’s December 10 board meeting. News about the deal was first reported by The Korea Economic Daily, which said the deal is for $921 million (1 trillion won). The Robot Report has also confirmed the news with a source familiar with the deal. The source said the acquisition is for about $1 billion.

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Dec 9, 2020

Researchers capture roaming molecular fragments in real time

Posted by in categories: chemistry, physics

The observation of a chemical reaction at the molecular level in real time is a central theme in experimental chemical physics. An international research team has captured roaming molecular fragments for the first time. The work, under the supervision of Heide Ibrahim, research associate at the Institut national de la recherche scientifique (INRS), was published in the journal Science.

The research group of the Énergie Matériaux Télécommunications Research Centre of INRS, with support of Professor François Légaré, has used the Advanced Laser Light Source (ALLS). They have succeeded in shooting the first molecular film of “roamers”—hydrogen fragments, in this case—that orbit around HCO fragments) during a chemical reaction by studying the photo-dissociation of formaldehyde, H2CO.

Dec 9, 2020

Discovery suggests new promise for nonsilicon computer transistors

Posted by in categories: computing, materials

For decades, one material has so dominated the production of computer chips and transistors that the tech capital of the world—Silicon Valley—bears its name. But silicon’s reign may not last forever.

MIT researchers have found that an alloy called InGaAs (indium gallium arsenide) could hold the potential for smaller and more energy efficient . Previously, researchers thought that the performance of InGaAs transistors deteriorated at small scales. But the new study shows this apparent deterioration is not an intrinsic property of the material itself.

The finding could one day help push computing power and efficiency beyond what’s possible with silicon. “We’re really excited,” said Xiaowei Cai, the study’s lead author. “We hope this result will encourage the community to continue exploring the use of InGaAs as a channel material for transistors.”

Dec 9, 2020

Red Hat resets CentOS Linux and users are angry

Posted by in categories: business, computing

CentOS is becoming a rolling Linux distribution, which leaves businesses depending on CentOS for a stable server or embedded operating system in the lurch.

Dec 9, 2020

SpaceX’s Starship crashes in huge fireball explosion

Posted by in categories: Elon Musk, space travel

Elon Musk hopes to send first humans to Mars aboard a Starship craft within the next four years.

Dec 9, 2020

From human waste to liquid gold

Posted by in category: food

Ever wondered if your urine could help with food security in Africa? We go to Malawi this week to hear how a ‘magic liquid’ is helping farmers cope with the high cost of synthetic fertilisers, while keeping the marketplaces cleaner and smelling fresher.

Dec 9, 2020

Former NASA Scientist Predicts “Gold Rush” in Space

Posted by in categories: business, space

In this gold rush, space is still a high-risk business, no matter how you slice it.

Dec 9, 2020

Airbus to Deploy Bomb-Sniffing ‘Electronic Noses’ That May Also Sniff Out Viral Diseases

Posted by in categories: biotech/medical, employment

This is alarming news since now sniffer dogs’ jobs are at stake.

Dec 9, 2020

Accessing the arches of chaos in the solar system for fast transport

Posted by in categories: asteroid/comet impacts, existential risks

Space manifolds form the boundaries of dynamic channels to provide fast transport to the innermost and outermost reaches of the solar system. Such features are an important element in spacecraft navigation and mission design, providing a window to the apparently erratic nature of comets and their trajectories. In a new report now published on Science Advances, Nataša Todorović and a team of researchers in Serbia and the U.S. revealed a notable and unexpected ornamental structure of manifolds in the solar system. This architecture was connected in a series of arches spreading from the asteroid belt to Uranus and beyond. The strongest manifolds were found linked to Jupiter with profound control on small bodies across a wide and previously unknown range of three-body energies. The orbits of these manifolds encountered Jupiter on rapid time-scales to transform into collisional or escaping trajectories to reach Neptune’s distance merely within a decade. In this way, much like a celestial highway, all planets generate similar manifolds across the solar system for fast transport throughout.

Navigating chaos in the solar system

In this work, Todorović et al. used fast Lyapunov indicator (FLI); a dynamic quantity used to detect chaos, to detect the presence and global structure of space manifolds. They captured the instabilities acting on orbital time scales with the sensitive and well-established numerical tool to define regions of fast transport in the solar system. Chaos in the solar system is inextricably linked to the stability or instability of manifolds forming intricate structures whose mutual interaction can enable chaotic transport. The general properties can be described relative to the planar, circular and restricted three-body problem (PCR3BP) approximating the motion of natural and artificial celestial bodies. While this concept is far from being fully understood, modern geometric insights have revolutionized spacecraft design trajectories and helped build new space-based astronomical observatories to transform our understanding of the cosmos.

Dec 9, 2020

Arthur.ai snags $15M Series A to grow machine learning monitoring tool

Posted by in categories: biotech/medical, robotics/AI

At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. As demand for this type of tool has increased this year, in spite of the pandemic, the startup announced a $15 million Series A today.

The investment was led by Index Ventures with help from newcomers Acrew and Plexo Capital, along with previous investors Homebrew, AME Ventures and Work-Bench. The round comes almost exactly a year after its $3.3 million seed round.

As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real-world scrutiny. Arthur.ai is designed to root out when that happens.