Its Another Impressive Release Launching Version 1. TodayWolfram Blog. Our Latest R D Output. Im excited today to announce the latest output from our R D pipeline Version 1. Wolfram Language and Mathematicaavailable immediately on desktop Mac, Windows, Linux and cloud. It was only this spring that we released Version 1. But after the summer were now ready for another impressive releasewith all kinds of additions and enhancements, including 1. We have a very deliberate strategy for our releases. Integer releases like 1. R D pipelinedelivering new capabilities large and small as soon as theyre ready. Its now 15 years since I published my book A New Kind of Science more than 25 since I started writing it, and more than 35 since I started working towards it. Version 1. 1. 2 has a mixture of things in itranging from ones that provide finishing touches to existing major frameworks, to ones that are first hints of major frameworks under construction. One of my personal responsibilities is to make sure that everything we add is coherently designed, and fits into the long term vision of the system in a unified way. And by the time were getting ready for a release, Ive been involved enough with most of the new functions were adding that they begin to feel like personal friends. So when were doing a. Years back thered be a nice list, but it would be of modest length. Today, however, Im just amazed at how fast our R D pipeline is running, and how much comes out of it every month. Yes, weve been consistently building our Wolfram Language technology stack for more than 3. But its still a thrill for me to see just how much were actually able to deliver to all our users in a. Advances in Machine Learning. Its hard to know where to begin. But lets pick a current hot area machine learning. Weve had functionality that would now be considered machine learning in the Wolfram Language for decades, and back in 2. Classify and Predictto give broad access to modern machine learning. SDySmu1pMIt8EwaXH8Y1lDl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9' alt='New Wolfram Mathematica 5 - And Full Version 2017' title='New Wolfram Mathematica 5 - And Full Version 2017' />By early 2. Image. Identify, and then, last year, in Version 1. Our goal is to push the envelope of whats possible in machine learning, but also to deliver everything in a nice, integrated way that makes it easy for a wide range of people to use, even if theyre not machine learning experts. And in Version 1. So, in particular, Classify and Predict are significantly more powerful in Version 1. Their basic scheme is that you give them training data, and theyll learn from it to automatically produce a machine learning classifier or predictor. But a critical thing in doing this well is to know what features to extract from the datawhether its images, sounds, text, or whatever. And in Version 1. Classify and Predict have a variety of new kinds of built in feature extractors that have been pre trained on a wide range of kinds of data. But the most obviously new aspect of Classify and Predict is how they select the core machine learning method to use as well as hyperparameters for it. BIh-ZV5Yk/0.jpg' alt='New Wolfram Mathematica 5 - And Full Version 2017' title='New Wolfram Mathematica 5 - And Full Version 2017' />Mathematica 11 advances 3D printing, neural network computation, audio integration, linguistic computing. Integrated tools for crossdomain projects. By the way, 1. 1. And if you run Classify and Predict now in a notebook youll actually see them dynamically figuring out and optimizing what theyre doing needless to say, using machine learning By the way, you can always press Stop to stop the training process. And with the new option Time. Goal you can explicitly say how long the training should be planned to befrom seconds to years. As a field, machine learning is advancing very rapidly right now in the course of my career, Ive seen perhaps a dozen fields in this kind of hypergrowthand its always exciting. And one of the things about our general symbolic neural net framework is that were able to take new advances and immediately integrate them into our long term systemand build on them in all sorts of ways. At the front lines of this is the function Net. Modelto which new trained and untrained models are being added all the time. The models are hosted in the cloudbut downloaded and cached for desktop or embedded use. And so, for example, a few weeks ago Net. Model got a new model for inferring geolocations of photographsthats based on basic research from just a few months ago Net. ModelRes. Net 1. Trained on YFCC1. M Geotagged DataNow if we give it a picture with sand dunes in it, its top inferences for possible locations seem to center around certain deserts Geo. Bubble. Chart. Net. ModelRes. Net 1. Trained on YFCC1. M Geotagged Data. Cloud. Gethttps wolfr. Top. Probabilities, 5. Net. Model handles networks that can be used for all sorts of purposesnot only as classifiers, but also, for example, as feature extractors. Building on Net. Model and our symbolic neural network framework, weve also been able to add new built in classifiers to use directly from Classify. So now, in addition to things like sentiment, we have NSFW, face age and facial expression yes, an actual tiger isnt safe, but in a different sense ClassifyNSFWImage,Cloud. Gethttps wolfr. Our built in Image. Identify function whose underlying network you can access with Net. Model has been tuned and retrained for Version 1. One of the important things thats happening with machine learning is the development of new types of functions, supporting new kinds of workflows. Weve got a lot of development going on in this direction, but for 1. Image. Restylethat takes a picture and applies the style of another picture to it Image. RestylePlaceholder,PlaceholderAnd in honor of this new functionality, maybe its time to get the image on my personal home page replaced with something more styledthough its a bit hard to know what to choose Image. Restyle, Performance. Goal Quality. Target. Device. GPU Placeholder, Placeholder, Placeholder,. Placeholder, Placeholder, PlaceholderBy the way, another new feature of 1. If youre only interested in an actual network, you can get in MXNet formatsuitable for immediate execution wherever MXNet is supported. In typical real situations, theres some pre and post processing thats needed as welland the complete functionality can be exported in WMLF Wolfram Machine Learning Format. Cloud and i. OS Notebooks. We invented the idea of notebooks back in 1. Mathematica 1. 0and over the past 2. About nine years ago we also began the very complex process of bringing our notebook interface to web browsersto be able to run notebooks directly in the cloud, without any need for local installation. Its been a long, hard journey. But between new features of the Wolfram Language and new web technologies like isomorphic React, Flow, Mob. Xand heroic efforts of software engineeringwere finally reaching the point where our cloud notebooks are ready for robust prime time use. Like, try this one We actually do continuous releases of the Wolfram Cloudbut with Version 1. Wolfram Language were able to add a final layer of polish and tuning to cloud notebooks. You can create and compute directly on the web, and you can immediately peel off a notebook to run on the desktop. Or you can start on the desktop, and immediately push your notebook to the cloud, so it can be shared, embeddedand further edited or computed within the cloud. By the way, when youre using the Wolfram Cloud, youre not limited to desktop systems. With the Wolfram Cloud App, you can work with notebooks on mobile devices too. And now that Version 1. Wolfram Cloud App, that makes it surprisingly realistic thanks to some neat UX ideas to write Wolfram Language code even on your phone. Raspberry Pi Wikipedia. The Raspberry Pi is a series of small single board computers developed in the United Kingdom by the Raspberry Pi Foundation to promote the teaching of basic computer science in schools and in developing countries. Real Term Serial Capture Program. Another Monster Manga Site on this page. The original model became far more popular than anticipated,7 selling outside of its target market for uses such as robotics. Peripherals including keyboards, mice and cases are not included with the Raspberry Pi. Some accessories however have been included in several official and unofficial bundles. According to the Raspberry Pi Foundation, over 5 million Raspberry Pis have been sold before February 2. British computer. By November 2. March 2. In July 2. 01. 7 it was announced that the total sales have now reached nearly 1. They are made in a Sony factory in Pencoed, Wales. Overviewedit. The Raspberry Pi Zero, a US5 model first introduced in 2. Several generations of Raspberry Pis have been released. The first generation Raspberry Pi 1 Model B was released in February 2. It was followed by the simpler and cheaper Model A. In 2. 01. 4, the Foundation released a board with an improved design in Raspberry Pi 1 Model B. These boards are approximately credit card sized and represent the standard mainline form factor. Improved A and B models were released a year later. A Compute Module was released in April 2. The Raspberry Pi 2 which added more RAM was released in February 2. A Raspberry Pi Zero with smaller size and reduced inputoutput IO and general purpose inputoutput GPIO capabilities was released in November 2. US5. Raspberry Pi 3 Model B released in February 2. Wi. Fi, Bluetooth and USB boot capabilities. As of January 2. 01. Raspberry Pi 3 Model B is the newest mainline Raspberry Pi. Raspberry Pi boards are priced between US53. On 2. 8 February 2. Raspberry Pi Zero W was launched, which is identical to the Raspberry Pi Zero, but has the Wi Fi and Bluetooth functionality of the Raspberry Pi 3 for US1. All models feature a Broadcomsystem on a chip So. C, which includes an ARM compatible central processing unit CPU and an on chip graphics processing unit GPU, a Video. Core IV. CPU speed ranges from 7. MHz to 1. 2 GHz for the Pi 3 and on board memory range from 2. MB to 1 GB RAM. Secure Digital SD cards are used to store the operating system and program memory in either the SDHC or Micro. SDHC sizes. Most boards have between one and four USB slots, HDMI and composite video output, and a 3. Lower level output is provided by a number of GPIO pins which support common protocols like IC. The B models have an 8. P8. CEthernet port and the Pi 3 and Pi Zero W have on board Wi Fi 8. Bluetooth. The organisation behind the Raspberry Pi now consists of two arms. Originally developed under the auspices of the Raspberry Pi Foundation, the success of the Pi Model B prompted the Foundation to set up Raspberry Pi Trading, with Dr Eben Upton as CEO, to develop the third model, the B. Raspberry Pi Trading is responsible for developing the technology while the Foundation is an educational charity that exists to get that message out to schools. Raspberry Pi Trading reinvests about a third of its profit in R D, and the rest goes to the foundation. The Foundation provides Raspbian, a Debian based Linux distribution for download, as well as third party Ubuntu, Windows 1. IOT Core, RISC OS, and specialised media center distributions. It promotes Python and Scratch as the main programming language, with support for many other languages. The default firmware is closed source, while an unofficial open source is available. HardwareeditThe Raspberry Pi hardware has evolved through several versions that feature variations in memory capacity and peripheral device support. This block diagram depicts Models A, B, A, and B. Model A, A, and the Pi Zero lack the Ethernet and USB hub components. The Ethernet adapter is internally connected to an additional USB port. In Model A, A, and the Pi Zero, the USB port is connected directly to the system on a chip So. C. On the Pi 1 Model B and later models the USBEthernet chip contains a five point USB hub, of which four ports are available, while the Pi 1 Model B only provides two. On the Pi Zero, the USB port is also connected directly to the So. C, but it uses a micro USB OTG port. Processoredit. The Raspberry Pi 2 uses a 3. MHz quad core ARM Cortex A7 processor. The Broadcom BCM2. So. C used in the first generation Raspberry Pi is somewhat equivalent to the chip used in first modern generation smartphones its CPU is an older ARMv. MHz. ARM1. 17. 6JZF S processor, Video. Core IV graphics processing unit GPU,2. RAM. It has a level 1 L1 cache of 1. KB and a level 2 L2 cache of 1. KB. The level 2 cache is used primarily by the GPU. The So. C is stacked underneath the RAM chip, so only its edge is visible. The earlier models of Raspberry Pi 2 use a Broadcom BCM2. So. C with a 9. 00 MHz 3. ARM Cortex A7 processor, with 2. KB shared L2 cache. The Raspberry Pi 2 V1. Broadcom BCM2. 83. So. C with a 1. 2 GHz 6. ARM Cortex A5. 3 processor,2. So. C which is used on the Raspberry Pi 3. The Raspberry Pi 3 uses a Broadcom BCM2. So. C with a 1. 2 GHz 6. ARM Cortex A5. 3 processor, with 5. KB shared L2 cache. PerformanceeditThe Raspberry Pi 3, with a quad core Cortex A5. Raspberry Pi 1. 2. This was suggested to be highly dependent upon task threading and instruction set use. Benchmarks showed the Raspberry Pi 3 to be approximately 8. Raspberry Pi 2 in parallelized tasks. Raspberry Pi 2 includes a quad core Cortex A7 CPU running at 9. MHz and 1 GB RAM. It is described as 46 times more powerful than its predecessor. The GPU is identical to the original. In parallelized benchmarks, the Raspberry Pi 2 could be up to 1. Raspberry Pi 1 Model B. While operating at 7. MHz by default, the first generation Raspberry Pi provided a real world performance roughly equivalent to 0. GFLOPS. 2. 93. 0 On the CPU level the performance is similar to a 3. MHz Pentium II of 1. The GPU provides 1 Gpixels or 1. Gtexels of graphics processing or 2. GFLOPS of general purpose computing performance. The graphical capabilities of the Raspberry Pi are roughly equivalent to the performance of the Xbox of 2. The LINPACK single node compute benchmark results in a mean single precision performance of 0. GFLOPS and a mean double precision performance of 0. GFLOPS for one Raspberry Pi Model B board. A cluster of 6. 4 Raspberry Pi Model B computers, labeled Iridis pi, achieved a LINPACK HPL suite result of 1. GFLOPS n1. 02. 40 at 2. US4. 00. 0. 3. 1OverclockingeditThe CPU chips of the first and second generation Raspberry Pi board did not require cooling, such as a heat sink, unless the chip was overclocked, but the Raspberry Pi 2 So. C may heat more than usual under overclocking. Most Raspberry Pi chips could be overclocked to 8. MHz, and some to 1. MHz. There are reports the Raspberry Pi 2 can be similarly overclocked, in extreme cases, even to 1. MHz discarding all safety features and over voltage limitations. In the Raspbian. Linux distro the overclocking options on boot can be done by a software command running sudo raspi config without voiding the warranty. In those cases the Pi automatically shuts the overclocking down if the chip reaches 8.