Online Mathematics Textbooks

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Ericsson Mobility Report

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From Healthcare to Homecare

Ericsson has published its latest ConsumerLab report, From Healthcare to Homecare. The report reveals consumer insights into the impact of 5G on the future of healthcare and its transformation across preventative, routine, and post-operative care.

Key findings:

  • Healthcare becomes decentralized, moving from hospitals towards homes

Consumers are frustrated with inconveniences and doctor wait times; 39 percent of chronic patients prefer online consultations to face-to-face meetings. Close to two in three consumers say wearables that monitor and administer medication are important to better manage chronic ailments,leading to reduced visits to the doctor. More than half of cross-industry decision makers feel decentralizing healthcare to local centers will improve efficiency and address resource scarcity.

  • Patient data is centralized, turning hospitals into data centers

35 percent of consumers say that online access to a central repository of medical records will help them easily manage the quality and efficiency of their care; 45 percent of cross-industry experts consider the central repository as a breakthrough in healthcare provisioning. Access to patient data is considered important to improve healthcare. Doctors will become data scientists and data security will become paramount, as 46 percent of cross-industry decision makers already consider data security to be an issue.

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What is 5G?

5G is more than just the next generation of radio technology. 5G is also about access, transport, and cloud. 5G is linked to network virtualization, virtual network functions, automation, management and orchestration. In addition, 5G may incorporate newer technologies such as blockchain to enhance data integrity.

With 5G and the virtualization that it brings, processing can be moved much closer to the user. For example, the driver of a smart car slams on the brakes, and this data is sent across the network. With 4G, the car might go another 4.5 feet before this signal could be processed, due to latency. With 5G, the workload should be processed and signal sent to the care to apply brakes by the time the car has moved a couple of inches.

Another example of 5G’s usefulness: robots working in a factory. We can move the intelligent part of the robot to cloud and thus the actual robot becomes cheaper. With virtualization, they can share resources in the cloud, and with 5G, those resources can be close to the network edge, which is to say, close to the factory. So, while the robots are still ultimately getting their orders from far away, all their time-critical functions are managed from close by, with near-zero latency.

In 5G, agility particularly pertains to the time it takes to create a new service and bring it to market. In the world we’re approaching, an appropriate window for such a task might be a short as 15 minutes.

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MapD Technologies Open Sources Lightning-Fast GPU-Powered Database

MapD pioneered the use of graphics processing units (GPUs) to analyze multi-billion-row datasets in milliseconds, orders-of-magnitude faster than traditional CPU-based systems. By open sourcing the MapD Core database and associated visualization libraries, MapD is making the world’s fastest analytics platform available to everyone.

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IBM Builds Its Most Powerful Universal Quantum Computing Processors

The two new IBM-developed processors include:

  • A 16 qubit processor that will allow for more complex experimentation than the previously available 5 qubit processor. It is freely accessible for developers, programmers and researchers to run quantum algorithms, work with individual quantum bits, and explore tutorials and simulations. Beta access is available by request through the IBM Q experience and a new Software Development Kit is available on GitHub
  • IBM’s first prototype commercial processor with 17 qubits and leverages significant materials, device, and architecture improvements to make it the most powerful quantum processor created to date by IBM. It has been engineered to be at least twice as powerful as what is available today to the public on the IBM Cloud and it will be the basis for the first IBM Q early-access commercial systems.

“The significant engineering improvements announced today will allow IBM to scale future processors to include 50 or more qubits, and demonstrate computational capabilities beyond today’s classical computing systems,” said Arvind Krishna, senior vice president and director of IBM Research and Hybrid Cloud. “These powerful upgrades to our quantum systems, delivered via the IBM Cloud, allow us to imagine new applications and new frontiers for discovery that are virtually unattainable using classical computers alone.”

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The Machine

Hewlett Packard Enterprise announced what it is calling a big breakthrough — creating a prototype of a computer with a single bank of memory that can process enormous amounts of information. The computer, known as The Machine, is a custom-built device made for the era of big data.

Memory-Driven Computing, as HPE calls this type of computer, puts memory, not the processor, at the center of the computing architecture. By eliminating the inefficiencies of how memory, storage, and processors interact in traditional systems today, Memory-Driven Computing can reduce the time needed to process complex problems from days to hours, hours to minutes, and minutes to seconds to deliver real-time intelligence.

The prototype unveiled today contains 160 terabytes (TB) of memory.

The new prototype has 160 TB of shared memory spread across 40 physical nodes, interconnected using a high-performance fabric protocol. It has an optimized Linux-based operating system (OS) running on ThunderX2, Cavium’s flagship second generation dual socket capable ARMv8-A workload optimized System on a Chip.

It also has photonics and optical communication links, including the new X1 photonics module. And HPE has built software programming tools designed to take advantage of abundant persistent memory.

During the design phase of the prototype, simulations predicted the speed of this architecture would improve current computing by multiple orders of magnitude. The company has run new software programming tools on existing products, illustrating improved execution speeds of up to 8,000 times on a variety of workloads. HPE expects to achieve similar results as it expands the capacity of the prototype with more nodes and memory.

Based on the current prototype, HPE expects the architecture could easily scale to an exabyte-scale single-memory system and, beyond that, to a nearly limitless pool of memory — 4,096 yottabytes. For context, that is 250,000 times the entire digital universe today.

With that amount of memory, HPE said it will be possible to simultaneously work with every digital health record of every person on earth, every piece of data from Facebook, every trip of Google’s autonomous vehicles, and every data set from space exploration all at the same time — getting to answers and uncovering new opportunities at unprecedented speeds.

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