TPU or tpu may refer to:
TPU or tpu may refer to:
Polyurethane refers to a class of polymers composed of organic units joined by carbamate (urethane) links. In contrast to other common polymers such as polyethylene and polystyrene, polyurethane is produced from a wide range of starting materials. This chemical variety produces polyurethanes with different chemical structures leading to many different applications. These include rigid and flexible foams, and coatings, adhesives, electrical potting compounds, and fibers such as spandex and polyurethane laminate (PUL). Foams are the largest application accounting for 67% of all polyurethane produced in 2016.
PU, Pu, or pu may refer to:
The DEC Text Processing Utility is a dedicated programming language developed by Digital Equipment Corporation (DEC) to easily create multi-functional text editors.
Processor may refer to:
National Research Tomsk Polytechnic University (TPU) is a technical university in Russia. TPU was a member of 12 international associations, including the Conference of European Schools for Advanced Engineering Education and Research (CESAER) until it was suspended in March 2022, and the European University Association (EUA) until it was suspended in March 2022. TPU was included in Project 5-100, a 2013 state program aimed at bringing at least five Russian universities from among the project participants into the 100 best universities in the world.
IS may refer to:
Thermoplastic polyurethane (TPU) is any of a class of polyurethane plastics with many properties, including elasticity, transparency, and resistance to oil, grease, and abrasion. Technically, they are thermoplastic elastomers consisting of linear segmented block copolymers composed of hard and soft segments.
Resource efficiency is the maximising of the supply of money, materials, staff, and other assets that can be drawn on by a person or organization in order to function effectively, with minimum wasted (natural) resource expenses. It means using the Earth's limited resources in a sustainable manner while minimising environmental impact.
The International Forum on Strategic Technology (IFOST) is a nonprofit organization composed of member institutes located in Asia. Each year IFOST organizes and sponsors an international conference, hosted by member institutes in turn, on a variety of topics in academics, technology and regional policies affecting respective members. IFOST is a unique and identifiable forum not only for an international conference to link academia but also to facilitate cooperation between academia and industries even including policy makers on strategic technology. The first IFOST conference was held in Ulsan, Korea in 2006. The ninth one was hosted by Bangladesh in 2014. The IFOST headquarters is presently located at University of Ulsan (Korea).
Petr Savelyevich Chubik – Since 2008 Rector of Tomsk Polytechnic University. He is a specialist in drilling cleaning fluids. Vice-president of the Association for Engineering Education of Russia, Vice-President of the Association of Technical Universities, Chairman of the Association "Tomsk consortium of scientific, educational and research institutions", member of the International Academy of Science of Higher Education and the Russian Academy of Russian Engineering. Co-Chair of the Board of the Association Consortium of supporting universities of the State Corporation "Rosatom", a member of the Board of the Association of the leading universities of Russia, member of the advisory council to the deputy governor of Tomsk region on scientific, educational complex and innovation policy. Member of the party "United Russia".
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.
Project 5-100 was a special government run program to develop major Russian universities. The program was launched by the Russian Ministry of Education and Science in 2013. It was aimed at improving the prestige of Russian higher education and bring at least five universities from among the project participants into the 100 best universities in the world according to the three most authoritative world rankings: Academic Ranking of World Universities (ARWU), Times Higher Education (THE), and Quacquarelli Symonds (QS) by 2020. However, this goal was never achieved.
Progress MS-02, identified by NASA as Progress 63P, was a Progress spaceflight operated by Roscosmos to resupply the International Space Station (ISS) in 2016. It was launched to deliver cargo to the ISS.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale.
Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." Keras 3 will be the default Keras version for TensorFlow 2.16 onwards, but Keras 2 can still be used.
Google AI is a division of Google dedicated to artificial intelligence. It was announced at Google I/O 2017 by CEO Sundar Pichai.
The bfloat16 floating-point format is a computer number format occupying 16 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. This format is a shortened (16-bit) version of the 32-bit IEEE 754 single-precision floating-point format (binary32) with the intent of accelerating machine learning and near-sensor computing. It preserves the approximate dynamic range of 32-bit floating-point numbers by retaining 8 exponent bits, but supports only an 8-bit precision rather than the 24-bit significand of the binary32 format. More so than single-precision 32-bit floating-point numbers, bfloat16 numbers are unsuitable for integer calculations, but this is not their intended use. Bfloat16 is used to reduce the storage requirements and increase the calculation speed of machine learning algorithms.
Flux is an open-source machine-learning software library and ecosystem written in Julia. Its current stable release is v0.14.5 . It has a layer-stacking-based interface for simpler models, and has a strong support on interoperability with other Julia packages instead of a monolithic design. For example, GPU support is implemented transparently by CuArrays.jl. This is in contrast to some other machine learning frameworks which are implemented in other languages with Julia bindings, such as TensorFlow.jl, and thus are more limited by the functionality present in the underlying implementation, which is often in C or C++. Flux joined NumFOCUS as an affiliated project in December of 2021.
Chisel is an open-source hardware description language (HDL) used to describe digital electronics and circuits at the register-transfer level.
A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of a given application domain. The term is often used in contrast to general-purpose architectures, such as CPUs, that are designed to operate on any computer program.