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Seven essential technological books that you can give this Christmas

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Who does not enjoy receiving a good book as a Christmas present? If you are looking for an idea to surprise that “technological” friend, relative or acquaintance, or if you are actually that “geek” who is passionate about reading about how technology is changing (for better and for worse) the world in ways unexpected, you are in luck.

At MCPRO we have selected no less than seven titles with which to continue feeding your love of reading and of course, you can leave them under the Christmas tree this year. Titles that speak on this occasion of that “war” less and less hidden by technological resources and semiconductors, of how algorithms are shaping the way in which decisions are made in democracy or how they have impressed some of the most important startups. promising Silicon Valley. Let’s start!

Chip War: The Fight for the World’s Most Critical Technology – Chris Miller

Award winner “Business of the year book” From the Financial Times, the latest from Chris Miller shows how semiconductors have become to today’s technological age what railways were to the industrial age. A scarce economic resource that has become one of the axes of the geopolitical conflict that currently confronts the United States and China. An essential reading to understand what is happening at the moment and how from globalization, we move to a more “national” world.

Bad Blood: Secrets and Lies in a Silicon Valley StartUp – John Carreyrou

In 2014 Elizabeth Holmes was billed as the woman Steve Jobs: a brilliant Stanford dropout whose magical new venture promised to revolutionize the medical industry with a machine that would make blood testing significantly faster and easier.

Backed by major investors, Theranos sold shares in a raising round that valued the company at more than $9 billion. There was only one problem: the technology didn’t work. For years, Holmes had hooked investors, FDA officials and their employees. When John Carreyrou uncovered the scandal in 2015 in the Wall Street Journal, they were threatened with lawsuits. In 2017 the company’s value was zero and Holmes faced potential legal action from the government and investors. An ideal reading to complete with “The Dropout” one of the best series of this year and which is largely inspired by the revelations of this book.

The Automation of Inequality – Virginia Eubanks

Since the dawn of the digital age, decision-making in finance, employment, politics, health, and services has undergone a revolutionary shift: automated systems, rather than humans, control which neighborhoods get policed, which families get needed resources, or who is being investigated for fraud. While we all live under this new data regime, the most invasive and punitive systems are targeting the poor.

Eubanks investigates the impact of data mining, algorithm policies, and predictive risk models applied to poor and working-class people in the United States. Digital monitoring and automated decision-making hide poverty from the middle-class public and give the state the ethical distance it needs to make inhumane decisions: which families get food and which starve, who gets housing and who remains homeless. and to which families the State divides. In the process, they undermine democracy and betray cherished national values.

Reality+: Virtual Words and the problems of Philosophy – David J. Chalmers

Virtual reality can become a new field of study for philosophy, a way of observing ourselves as a species again. In Reality+, New York University professor of neural science philosophy David J. Chalmers re-examines some of the big philosophical and scientific questions from this new perspective.

If there comes a time when we spend a good part of our lives in the metaverse… how do we know that there is an external world? Is there a god? What is the nature of reality? What is the relationship between the mind and the body? A twist on the paradigm that “Matrix” established at the time, but with the certainty that on this occasion, it is not science fiction that we are talking about.

Humiliation in the networks – Jon Ronson

For the past three years, Jon Ronson has traveled non-stop to meet with people who have been exposed to public ridicule. The humiliated are people like any of us who one day, through social networks, made an unfortunate comment or a joke that was misinterpreted. Once their blunder comes to light, general outrage, on those same social networks, falls on them with the violence of a hurricane and, in less than a rooster crows, an enraged mob destroys them, mocks them and He demonizes them until they lose their jobs and completely change their lives.

Public derision has been reborn and travels the world. “Justice” has been democratized. The silent minority is beginning to speak out, but what does it all say about us? We relentlessly highlight the flaws of others, define the boundaries of normality by spoiling the lives of those who don’t play by the rules. A great reflection on the current world and what awaits us

The Cult of We: WeWork and the Great Start-Up Delusion – Eliot Brown Maureen Farrell

In 2001, Adam Neumann arrived in New York after five years in the Israeli Navy. Just over fifteen years later, he had become the charismatic CEO of a $47 billion company: WeWork.

WeWork wasn’t just a provider of office and coworking spaces: it would build schools, create cities, and even “colonize Mars.” Pursuing its founder’s vision, the company spent money faster than it passed funding rounds. From his private jet, an increasingly messianic CEO traveled the world in search of more capital, but at the end of 2019, just weeks before the company’s IPO, everything fell apart and Neumann was expelled from his company. . The extraordinary rise and astonishing implosion of WeWork is evidence of the failure of the way many Silicon Valley startups work and the end of a culture of investment “pitch”.

The filter bubble: How the web decides what we read and what we think – Eli Parisier

In December 2009, Google began to personalize search results for all its users, and thus began a new era in which the websites we visit adapt to us as if by magic. The bubble filter, a fascinating and visionary book, reveals what is behind this ubiquitous personalization, from Facebook to Google through any news portal, and explains the consequences it has on us, on the information that reaches us and, ultimately instance, on the functioning of democracy.

The struggle to collect personal data (from political orientation to the latest sneakers we’ve searched for) and adjust our browsing based on it is the new battleground of the internet giants. Each one of us lives in a universe of personalized information, a bubble that only accesses the news that matches our interests and preferences, limiting exposure to ideas, opinions, and other people’s realities.

The Internet, which was born to facilitate the flow of ideas and information, is closing in on itself under the pressure of commerce and monetization. But it is not too late to correct course. Pariser exposes a new vision that exploits the benefits of technology without falling into its worst effects.

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Intel confirms that Emerald Rapids will arrive in the second half of this year

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The chip giant has reaffirmed the most important keys to its roadmap, and has maintained its commitment to meet the initially scheduled dates. This is very important for Intel, in fact it is part of the strategy that its CEO, Pat Gelsinger, gave in an interview alluding to the execution on time and on time.

It is not difficult to understand, it is useless to have a winning architecture on an advanced node and with a huge density of transistors if this is not viable on the wafer, either for technical or economic reasons, and if therefore you are going to have to delay it repeatedly. This has been a problem that Intel has been experiencing on numerous occasions. Remember, for example, what happened with the transition to 10 nm, and also the delays suffered by the new Sapphire Rapids processors.

In fairness, it must be recognized that in all these cases Intel has sinned of ambitionthat is, it has had excellent ideas to design very advanced chips for the moment in time in which we found ourselves, but by jumping to the wafer he has come across the harsh reality that he had bitten off more than he could swallow. Sapphire Rapids is one of the best examples that we can put today, since they are very advanced processors that have numerous specialized accelerators, and that of course start from a truly unique approach. A pity that they suffered so many delays.

Intel has internalized this problem, and for this reason it has reaffirmed, as we told you at the beginning of this article, its commitment to its latest roadmap, and He has done it at all levels. This means that Meteor Lake, the first Intel 4 (7nm) node architecture for general consumption, will arrive later this year, and that Emerald Rapids, the successor to Sapphire Rapids, will also be released in the second half of this year. Granite Rapids will go to 2024.

According to the latest information to which we have had access, Emerald Rapids will be a minor evolution of Sapphire Rapidsbecause it will maintain the MCM design based on interconnected blocks, it will have a maximum of 64 cores and 128 threads, it will also have specialized accelerators and it will be manufactured on the Intel 7 node.

This leaves us with a really frantic pace of releases, since if you realize we move in annual cycles, something that undoubtedly represents a major challenge. However, if Intel manages to comply, it is clear that it will significantly improve its position, and that it will make things very difficult for AMD.

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IBM and Rapidus want to manufacture semiconductors at 2 nm in 2025

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Competition in the world of semiconductors is fierce. TSMC is the undisputed leader when it comes to chip manufacturing, since the designs are carried out by its customers, but IBM is not about to be left behind in the nanometer raceand has already defined a strategy to improve its position in this sector, an alliance with the Japanese company Rapidus.

This alliance with the Japanese semiconductor consortium Rapidus will have, as its main objective, to establish a chip production line at 2nm in the first half of 2025. This first production line will work with prototypes, which means that they will not be commercial units, and therefore it is a risk phase that will represent a very important investment for both companies.

If that first move goes well, IBM and Rapidus will put themselves in a prime position within the semiconductor industry, and will be right up there with TSMCsince the Taiwanese company also plans to start producing chips in the 2 nm node by 2025, as long as things go according to their own forecasts, obviously.

Right now we are in an important transition stage. The 5nm node is the most popular today, but the jump to the 3nm node will become a reality very soon, and this year its adoption by some giants of the sector will begin. Except for a last-minute surprise, Apple will be the first to launch a SoC for smartphones based on TSMC’s 3nm node, the Apple A17, which will be used in the iPhone 15 Pro and iPhone 15 Pro Max.

Leaps in the manufacturing process are important because reduce the size of the transistorsand make it possible to introduce performance and efficiency improvements. It is also possible to reduce the space occupied in the silicon wafer, which in the end translates into a greater number of chips per wafer, with all that this entails in terms of manufacturing costs.

However, by reducing the size of the transistors logic gates become thinner, and this increases the risk of electrical leakage. It is also more difficult to achieve a good success rate on the wafer, especially in complex designs, and this translates into fewer functional chips. The jump to 2 nm could be very difficult, since it is a value that brings us closer to the physical limits of silicon, so it will be interesting to see how the industry progresses in this new adventure.

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These are the main differences between Microsoft Azure, Google Cloud and AWS

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The top three public cloud providers are AWS, Microsoft Azure and Google Cloud. In their offering, all three have quite a few similarities. The main plans that they offer to their clients have many similarities in terms of the type of services they offer. In addition, their prices and billing models are also quite similar. They also have the same goals in terms of type of customers, among other things.

Of course, the fact that their cloud plans are similar does not imply that they do not also have differences. In certain respects, they present certain important differences and have distinct characteristics. These are the main ones:

1- Cloud Assisted Code Writing

All three major public cloud providers offer integrated development environments, or plugins, with which developers can write code manually. But the same is not true of software development tools assisted by Artificial Intelligence. So far only one offers such a tool, with AI models to help developers generate code automatically. This is AWS, which since 2022 has Amazon Code Whisperer.

With this tool, AWS customers who are dedicated to development will have recommendations when writing code, driven by Artificial Intelligence, with the aim of making it easier for them to develop more efficient connections with cloud resources.

Microsoft offers a tool similar in many cases to CodeWhisperer: Copilot. But not part of Azure cloud, but part of GitHub. This means that Copilot does not integrate in any specific way with Azure, nor does it specifically address development needs that are related to Microsoft Azure. Of course, Microsoft may decide to launch a tool of this type in the future, since it has decided to bet heavily on AI in its cloud, which is shown with the recent launch of Azure OpenAI and with the integration of tools like ChatGPT in several of its cloud products.

As for the Google Cloud platform, it is not yet firmly committed to AI-assisted development products. Neither is Google, at least for now. The momentum that Artificial Intelligence is taking, which is leading the big technology companies to accelerate their projects related to AI, and which in the short and medium term may make them accelerate developments and integrations related to it, may lead to the cloud gets a boost from Artificial Intelligence in general, and AI-powered code development for the cloud in particular. Not only in Google Cloud, but also in the rest of the public cloud providers that today do not have tools of this type.

2 – Platform as a Service (PaaS) cloud offerings

All major public cloud providers offer some version of cloud services. Platform as a Service (PaaS), a cloud computing model in which IaaS (Infrastructure as a Service) service is integrated with software development and deployment tools. All with the aim that companies can develop and run applications.

Of the three, the one with the most complete offering of PaaS solutions is Azure. It does so through systems like Web App Service. AWS also has quite a notable offering, with services like ELastic Beanstalkand Google Cloud has a service called Cloud Run.

But these two services are not as versatile or complete as those offered by Azure in PaaS. Neither in terms of the uses that can be given to them nor in terms of the flexibility they provide in the development and execution of applications. Therefore, if a developer needs to have PaaS services in the cloud, Azure is the most appropriate choice for him.

3 – Cloud Data Loss Prevention Services

The data loss prevention (DLP) solutions in the cloud are intended to help companies and professionals to discover and protect the sensitive data that they have to store in the cloud. In this case, both AWS and Azure and Google Cloud offer some type of system or tool designed for this.

Of course, the offer that Azure makes is based on a Microsoft product that is not specifically focused on protecting Azure. This is why it cannot be considered as a cloud data loss prevention solution in Azure. This is such a tool that is generic and is supported by Azure. Both AWS and Google Cloud offer a native DLP platform, so they beat Microsoft’s cloud in this case.

4 – Hybrid cloud solutions

The integration of a private storage infrastructure with a public cloud, such as those offered by the aforementioned providers, gives rise to the generation of a hybrid cloud. However, the way to create and manage these integrations is different in each case. In Google Cloud, for the creation and management of hybrid clouds you must use the platform anthoswhich is based on Kubernetes.

As for AWS and Azure, their solutions for building hybrid clouds are not based on Kubernetes. The one that allows you to do it in AWS is called Outpostswhile in Azure there are two options: Arc and Stack. So no knowledge of Kubernetes is required to build hybrid clouds.

In addition, there are other differences between the level of flexibility offered by these three providers in terms of hybrid cloud creation. Outpost is more restrictive, requiring customers to purchase hardware outright. AWS solutions, meanwhile, are compatible with virtually any type of hybrid cloud infrastructure.

These are the main differences that we can find in the cloud offer of the three main public cloud providers. In most cases, as we have seen, they all offer some kind of solution, but not always with the same versatility, solidity and power.

As for the rest of the differences that there may be, they will be in a much smaller area, such as data storage or hosted virtual machines. They all have similar options and very similar plans. But if you need an extra in any of the aspects that we have talked about, it is convenient to analyze with a magnifying glass which option is the best for you

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