scholarly journals REMASTERING SISTEM OPERASI BERBASIS OPEN SOURCE LINUX UNTUK PEMBELAJARAN KIMIA (STUDI KASUS PADA MATA KULIAH KOMPUTASI DATA JURUSAN ANALIS KIMIA UNDIKSHA)

Author(s):  
Ni Wayan Martiningsih ◽  
Made Gede Sunarya

Penelitian ini bertujuan untuk merancang pengembangan remastering sistem operasi berbasis open source linux untuk pembelajaran kimia pada mata kuliah Komputasi Data dan mengetahui respon mahasiswa terhadap remastering sistem operasi tersebut. Rancangan yang digunakan dalam penelitian ini adalah rancangan penelitian pengembangan (Research and Development). Pengumpulan data respon mahasiswa dilakukan dengan cara pemberian angket kepada mahasiswa. Data yang terkumpul dianalisis secara statistik deskriptif. Rancangan remastering dilakukan berdasarkan analisis kebutuhan pada mata kuliah Komputasi Data. Remastering dirancang menggunakan Linux Ubuntu 10.4 dan menggabungkan program aplikasi kimia yaitu Avogadro, Bkchen, Chemical calculator, dwawXTL, GabEdit, GchemPaint, Gperiodic, Kalzium, PeriodicTable, XdrawChem. Respon mahasiswa terhadap  pengembangan remastering sistem operasi linux untuk pembelajaran kimia pada mata kuliah Komputasi Data adalah sangat positif

2019 ◽  
Author(s):  
Ashwin Acharya ◽  
Zachary Arnold

China aims to become “the world’s primary AI innovation center” by 2030. Toward that end, the Chinese government is spending heavily on AI research and development (R&D)—but perhaps not as heavily as some have thought. This memo provides a provisional, open-source estimate of China’s spending.


Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1343 ◽  
Author(s):  
Felipe A. P. de Figueiredo ◽  
Dragoslav Stojadinovic ◽  
Prasanthi Maddala ◽  
Ruben Mennes ◽  
Irfan Jabandžić ◽  
...  

DARPA, the Defense Advanced Research Projects Agency from the United States, has started the Spectrum Collaboration Challenge with the aim to encourage research and development of coexistence and collaboration techniques of heterogeneous networks in the same wireless spectrum bands. Team SCATTER has been participating in the challenge since its beginning, back in 2016. SCATTER’s open-source software defined physical layer (SCATTER PHY) has been developed as a standalone application, with the ability to communicate with higher layers through a set of well defined messages (created with Google’s Protocol buffers) and that exchanged over a ZeroMQ bus. This approach allows upper layers to access it remotely or locally and change all parameters in real time through the control messages. SCATTER PHY runs on top of USRP based software defined radio devices (i.e., devices from Ettus or National Instruments) to send and receive wireless signals. It is a highly optimized and real-time configurable SDR based PHY layer that can be used for the research and development of novel intelligent spectrum sharing schemes and algorithms. The main objective of making SCATTER PHY available to the research and development community is to provide a solution that can be used out of the box to devise disruptive algorithms and techniques to optimize the sub-optimal use of the radio spectrum that exists today. This way, researchers and developers can mainly focus their attention on the development of smarter (i.e., intelligent algorithms and techniques) spectrum sharing approaches. Therefore, in this paper, we describe the design and main features of SCATTER PHY and showcase several experiments performed to assess the effectiveness and performance of the proposed PHY layer.


2017 ◽  
Author(s):  
Jason Barkeloo ◽  
Timothy Cripe ◽  
Li Guo ◽  
Ronald Laymon ◽  
Pablo Pomposiello ◽  
...  

The pharmaceutical industry faces a host of worsening problems: Multibillion-dollar expenses and decade-long development times to bring new drugs to market, high failure rates for new drug candidates, and a patent system that is both expensive and uncertain. Demanding regulatory requirements and governmental pressures on prescription costs add yet more pressure on drug development. Although the situation does not yet constitute a crisis, its current trajectory is becoming increasingly untenable. While the industry itself has been resourceful in introducing technological advances and operating reforms such as increased collaboration through patent pooling, these efforts do not exhaust the possibilities for improvement. In particular, there has been an emerging, more agile and responsive alternative model in pharmaceutical research and development, namely open source synthetic biology – a rapidly developing and highly collaborative effort based on engineering principles involving the design and construction of biological systems using standardized modules of DNA. Synthetic biology began entirely open to those who wished to participate, provided that they agreed to share their results without restrictions. In its current and more mature state, it retains much of its open source character and is consequently less dependent on secrecy and patent protection than the pharmaceutical industry’s largely proprietary approach. The success of open source synthetic biology has inspired us to further develop that approach for research and development in Biotechnology and its pharmaceutical applications. Here, we reviewed the history and progress of open source science and technology.


2020 ◽  
Author(s):  
Roxanne Heston ◽  
Remco Zwetsloot

Many factors influence where U.S. tech multinational corporations decide to conduct their global artificial intelligence research and development (R&D). Company AI labs are spread all over the world, especially in North America, Europe and Asia. But in contrast to AI labs, most company AI staff remain concentrated in the United States. Roxanne Heston and Remco Zwetsloot explain where these companies conduct AI R&D, why they select particular locations, and how they establish their presence there. The report is accompanied by a new open-source dataset of more than 60 AI R&D labs run by these companies worldwide.


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