Nvidia and Google claim bragging rights in MLPerf benchmarks as AI computers get bigger and bigger

john rambo

Nvidia and Google on Wednesday each announced that they had aced a series of tests called MLPerf to be the biggest and best in hardware and software to crunch common artificial intelligence tasks.

The devil’s in the details, but both companies’ achievements show the trend in AI continues to be that of bigger and bigger machine learning endeavors, backed by more-brawny computers.

Benchmark tests are never without controversy, and some upstart competitors of Nvidia and Google, notably Cerebras Systems and Graphcore, continued to avoid the benchmark competition.

In the results announced Wednesday by the MLPerf organization, an industry consortium that administers the tests, Nvidia took top marks across the board for a variety of machine learning “training” tasks, meaning the computing operations required to develop a machine learning neural network from scratch. The full roster of results can be seen in a spreadsheet form.

The second phase of machine learning,

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Software Has To Lead Hardware In The AI Dance

john rambo

A lot of the people who are working at the many AI chip startups have a long history in processor development in the datacenter, and that is certainly true of the folks who founded SambaNova Systems. And this is a fortunate thing because these people can leverage some of the good ideas they know worked when commercializing a new technology and avoid some of the big mistakes their former employers sometimes made.

At our recent The Next AI Platform event, we sat down with Rodrigo Liang, co-founder and chief executive officer of SambaNova Systems, which is one of the upstart custom AI chip producers vying for attention and budget dollars. SambaNova was founded in 2017 by a bunch of ex-Sun Microsystems techies as well as a few from Stanford University, which is of course where Sun itself was born in 1982. The co-founders include Kunle Olukotun and Chris Ré, professors

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Microsoft: .NET 5 brings you these big performance improvements

john rambo

Microsoft’s .NET team boasts that the forthcoming .NET 5 development stack will offer major performance improvements. 

.NET 5 represents Microsoft’s effort to cherrypick the best of .NET Core, .NET Framework, Xamarin and Mono to create a platform that developers can use it to target all platforms, including Windows, Linux, macOS, iOS, Android, tvOS, watchOS and WebAssembly. 

In other words, it’s a platform of runtime components, compilers, and languages for developing apps for the desktop, web, cloud, mobile, gaming, IoT and AI.   

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

Microsoft started shipping previews of .NET 5 in March and plans for general availability in November. .NET 5 is important because it aims to unify .NET development as a platform for building all applications across the desktop, mobile and connected devices. 

.NET 5 includes ASP.NET Core, Entity Framework Core, WinForms, WPF, Xamarin and ML.NET as well as support for Windows on

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NVIDIA, BMW, Red Hat, and more on the promise of AI, edge computing, and computer vision

john rambo

Presented by NVIDIA

On the third day of Transform 2020, the IoT, AI at the Edge, and Computer Vision Summit presented by NVIDIA underscored the tremendous promise of these technologies. IoT is being leveraged in more transformative ways than ever, the limits of compute power on devices keep getting pushed, and computer vision models are becoming faster and more accurate.

But innovation also brings new challenges. Leaders from NVIDIA, BMW, Pinterest, Intel, Uber, and Red Hat among others gathered to talk about the most important new use cases and the most urgent issues: from ensuring greater user privacy to enabling lower latency, accelerating better search and personalization, advancing automation, delivering real-time intelligence, and more.

Implementing new AI technologies also brings new responsibilities like security, governance, accuracy, and explainability, as well as a major focus on eliminating biases around race and gender.

Here’s a look at some of the top panels

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NIA arrests two persons for theft of computer hardware from Cochin Shipyard- The New Indian Express

john rambo

Express News Service

KOCHI: In a major breakthrough in its probe into last year’s theft of computer hardware from Indigenous Aircraft Carrier (IAC) Vikrant, which is under construction at the Cochin Shipyard here, the National Investigation Agency (NIA) arrested two persons on Tuesday night. Dayaram Sinkariya, 22, and Sumit Kumar, 23, who were nabbed from their native places Hanumangarh in Rajasthan and Munger in Bihar respectively, would be brought to Kochi soon, said NIA officers.

“It’s a matter of pride for us. We had collected fingerprints of nearly 10,000 persons who work or had worked in the shipyard. Over 1,000 persons were questioned and their mobile networks traced, after which we could identify the suspects. After receiving all the information, we obtained a search warrant from the NIA Court in Kochi on Monday and three teams were sent to Rajasthan, Gujarat and Bihar,” said a source in the NIA.


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IIT-B designs electronic neuron to make devices faster – mumbai news

john rambo

A team of researchers led by the Indian Institute of Technology- Bombay (IIT-B) have designed an electronic neuron that mimics the nerve cells or the neurons of a human brain and can help devices make faster decisions.

The study, published in the journal APL Materials of the American Institute of Physics in September last year, proposes a theoretical framework of neural networks – an active field of research in machine learning – that can enable computers to perform everyday tasks such as image, voice and pattern recognition. In simpler terms, the neurons will improve the results of facial recognition, voice recognition and understanding of languages.

For instance, currently, electronic gadgets such as computers and mobile phones are based on Complementary metal-oxide-semiconductor (CMOS) technology. In this technology, the device will go through millions of possibilities before reaching an answer when prompted for facial recognition. The neural network proposed by the team

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Student Computer Hardware/Software Recommendations

john rambo

For students, our recommendations and minimum system requirements are meant to provide general guidelines. If you have declared a major, we recommend checking with the department to see if it requires specific computer configurations.

Recommended configuration

Processor Intel Core i5 (sixth generation or newer) or equivalent
Storage 256 GB SSD / 500 GB HDD
Display Size 14″ or larger LCD
OS Windows 10 x64
Networking Integrated 802.11ac wireless adapter
Other External drive for backups, built-in or external webcam, antivirus software

Minimum required configuration

Processor Intel Core i3 (sixth generation or newer) or equivalent
Storage 128 GB SSD / 500 GB HDD
Display Size 13″ LCD
OS Windows 10 x64
Networking Integrated 802.11ac wireless adapter
Other External drive for backups, built-in or external webcam, antivirus software


Mac Computers

Any recent Macbook (2015 or newer) will also suffice.

Additional Information

  • UCA utilizes a campus-wide wireless network.
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Original Equipment Manufacturer (OEM) Definition

john rambo

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How To Identify Computer Hardware (Components)

john rambo

Latest update on by David Webb

If you would like to find out what your computer has going on in its hardware but don’t necessarily want to — or know how to — go poking around inside, you can find out this information using dedicated software, or even the internet. Continue reading to find out how and why it’s important.

What Is the Purpose of Identifying Your Computer Hardware?

Identifying your computer hardware components is usually the job of an expert who would, for example, like to take apart your machine to replace or repair its parts.

However, if your computer starts to be buggy or includes obsolete parts, identifying your computer’s components becomes vital. It allows you to more easily detect crashes and to identify the different compatibility issues that may come up when buying new parts.

Perform a Hardware

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Computer Hardware Market Global Demand and Business Growth 2020 | HP, Apple, IBM

john rambo

The MarketWatch News Department was not involved in the creation of this content.

The New report includes a detailed study of the Global Computer Hardware Market. It is the result of comprehensive research carried out keeping in mind the different parameters and trends dominating the global Computer Hardware Market.

Both primary and secondary research has been carried out to arrive at the desired outcome. The primary research included feedback, opinion, and suggestion provided by the people and organizations residing in the key markets as identified by the industry experts.

Get free PDF Sample Copy of this Report at:


Top Leading Companies:

HP, Apple, IBM

The computer hardware market consists of sales of computer hardware by entities (organizations, sole traders and partnerships) that produce computer hardware including digital equipment for everyday use in homes and for performing day to day activities in offices, such as personal computers (PCs) laptops

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