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Archivo del Autor: Belen De Leon

Deputy AG Rod Rosenstein Is Still Calling for an Encryption Backdoor

At a cybercrime conference Thursday, Rod Rosenstein once again decried “going dark.”
Source: Wired

"Me horroriza la idea de que un país decida no apostar por la IA"

Para el director de Inteligencia Artificial de Google Cloud, Andrew Moore, esta tecnología será tan revolucionaria para la sociedad y los negocios como lo fue la electricidad, y advierte que los estudiantes que decidan no formarse en este campo perderán muchas oportunidades
Source: MIT

Nueva polémica genética: la ONU valora prohibir los genes dirigidos

Tras el escándalo de los bebés chinos editados con CRISPR, el nuevo debate sobre la modificación del ADN se centra en la genética dirigida, una tecnología que podría erradicar a los mosquitos que transmiten la malaria pero cuyo impacto en la naturaleza todavía no se conoce
Source: MIT

3DMark’s Port Royal lets you benchmark ray tracing on Nvidia’s RTX cards

UL is adding another benchmarking utility to its popular 3DMark suite to help gamers measure their graphics card’s ray tracing performance. You’ll soon be able to measure how Nvidia’s RTX 2070, 2080, and 2080 Ti stack up.

The post 3DMark’s Port Royal lets you benchmark ray tracing on Nvidia’s RTX cards appeared first on Digital Trends.


Source: Digital trends

Nine companies will compete to help NASA astronauts return to the moon

NASA is ready to send astronauts back to the moon for the first time in more than 40 years. It won’t be doing it alone, however. The agency is enlisting nine companies, large and small, to compete for a combined maximum contract value of $2.6 billion over the next 10 years.

NASA released the list of names today, including aerospace stalwart Lockheed Martin, along with Astrobotic Technology, Deep Space Systems, Draper, Firefly Aerospace, Texas Intuitive Machines, LLC, Masten Space Systems, Inc., Moon Express and Orbit Beyond — all American companies.

“Today’s announcement marks tangible progress in America’s return to the Moon’s surface to stay,” NASA administrator Jim Bridenstine said in a press release. “The innovation of America’s aerospace companies, wedded with our big goals in science and human exploration, are going to help us achieve amazing things on the Moon and feed forward to Mars.”

Baby steps. The teams will start with lunar payload missions, which could kick off as early as next year. Learnings from that first crop will be used to inform future missions to the moon and, eventually, Mars.


Source: TechCrunch

New AWS tool helps customers understand best cloud practices

Since 2015, AWS has had a team of solution architects working with customers to make sure they are using AWS services in a way that meets best practices around a set of defined criteria. Today, the company announced a new Well Architected tool that helps customers do this themselves in an automated way without the help of a human consultant.

As Amazon CTO Werner Vogels said in his keynote address at AWS re:Invent in Las Vegas, it’s hard to scale a human team inside the company to meet the needs of thousands of customers, especially when so many want to be sure they are complying with these best practices. He indicated that they even brought on a network of certified partners to help, but it still has not been enough to meet demand.

In typical AWS fashion, they decided to create a service to help customers measure how well they are doing in terms of operations, security, reliability, cost optimization and performance efficiency. Customers can run this tool against the AWS services they are using and get a full report of how they measure up against these five factors.

“I think of it as a way to make sure that you are using the cloud right, and that you are using it well,” Jeff Barr wrote in a blog post introducing the new service.

Instead of working with a human to analyze your systems, you answer a series of questions and then generate a report based on those answers. When the process is complete you generate a pdf report with all the recommendations for your particular situation.

Image: AWS

While it’s doubtful that such an approach can be as comprehensive as a conversation between client and consultant, it is a starting point to at least get you on the road to thinking about such things, and as a free service, you have little to lose by at least trying the tool and seeing what it tells you.

more AWS re:Invent 2018 coverage


Source: TechCrunch

The attributes that define the increasingly critical Data-as-a-Service industry

It’s now common in tech to describe data as “the new oil or electricity” — a fuel that will power innovation and company growth for the foreseeable future. However, data is far from a novel industry. In fact, it’s a decades-old market, and many successful data companies, such as Bloomberg, LiveRamp (now Axciom), Oracle Data Cloud and Nielsen have been built in the past and serve as industry leaders… for the time being.

Still, a few characteristics separate today’s world of data businesses from those in the past. The market for data is increasing in size at a rapid rate, mostly due to new methods of measurement (like mobile phones, IoT sensors and satellite imagery) that generate new forms of information, as well as new, prevalent use cases like AI, which rely on huge quantities of high-quality data to work (emphasis on the high-quality).

These changes have led to unprecedented demand for data outside of traditionally data-hungry markets, like finance, marketing and real estate. They have also led to an iteration of data company that’s being classified as Data-as-a-Service (DaaS) — companies like Datanyze (acquired by ZoomInfo), Safegraph, Clearbit, PredictHQ and DataFox. DaaS stresses higher velocity, higher-quality, near real-time data that can support more rigorous needs, such as training machine learning algorithms. Non-financial corporations are more than happy to ingest external data that will help them streamline their operations, supply chain and marketing.

In this evolving world of Data as a Service, there are a few attributes that lead to a successful company:

DaaS must serve a big enough market. This seems like an obvious point, but too many entrepreneurs assume they can easily sell large volumes of high-quality data. Even though data is in higher demand than ever, the ability to use it and integrate it into general customer workflows has not been democratized. Music downloads and charts, for example, is valuable data, but the customer segment is not large enough at this point and a few players dominate the market. Social media or influencer ranking data, like Klout, is similar. There are many categories of real-time data that does not have the size or impact necessary to sustain a large-scale DaaS business.

DaaS is not about disruption, it’s about empowerment. Many startups want to “disrupt” a space, but DaaS companies need to focus on integrating into existing workflows rather than demanding customers change how they do business. This requires deep customer knowledge, easy integration and data that immediately provide value to the business. Potential customers have seen the buzz around Big Data, Hadoop and business intelligence, but the only thing they talk about is dashboard fatigue. It’s important that DaaS companies focus on seamless integration and solving a well-defined customer problem.

DaaS should have increasing incremental margin. Data businesses often have significant COGS, particularly at small scale. However, as a data business gets larger, the gross margins can improve dramatically. So it’s really important to understand whether the cost of acquiring or generating data changes as you bring on new customers. I call this incremental margin; the change in the difference between cost of producing data and how much that data can be sold for. If your gross margin is significantly higher for your fiftieth customer than it was for your first, then you are on your way to building a venture-backable business (or, if the margin is high enough, you may not even need VC backing at all). This increasing margin is a key pillar in building out a large, sustainable DaaS company.

It is data quality, velocity and margins that will decide whether or not a startup is successful in the long run.

DaaS must be machine readable. Today, data accuracy is increasingly powering company innovation, and quality becomes more important as data is used for AI training purposes. If a company is using data for something like a marketing campaign, it’s not critical if the data is of poor quality. Moreover, people have accepted a rock-bottom level to date — often 80 percent of marketing data may be erroneous. However, when data is being used to power AI applications and machine learning algorithms, low data quality could be disastrous. In other words, DaaS must be machine readable. Some data may need to be cleaned up; Trifacta is an example of a company that provides the tools to ensure higher-quality data. Other companies, such as Crowdflower (now Figure Eight), Mighty AI and Samasource label data and clean it up for algorithmic use.

DaaS must have continuous movement. In other words, there should be continuous value in data getting refreshed. A successful DaaS company does not provide data to serve a one-time use case; rather, the data should have a combination of velocity (change over time; days or hours) and inherent value in knowing the changes that are occurring. The higher the data velocity, the more value potential exists within that company’s data. Real estate or stock market data are good examples of value increasing with greater velocity.

DaaS must tell a story. Numbers are no longer enough. DaaS companies must provide the tools and analytics or AI to unlock data, identify trends and then provide context around those trends. AI is particularly useful in finding correlations across data sets that humans would never know to look for. Safegraph, which produces granular location data, provides us with some great examples of this. Location data is far more than the sum of its parts when it contains enough velocity and accuracy. For example, when paired with ZIP Code-based income data, location data can tell us quite a bit about food deserts and their disproportionate effect on poorer households that have to travel three times farther to get to a grocery store. Or, location data can tell us about the vast differences in travel patterns across different cities — information that is critical in the development of autonomous vehicles, where different vehicle types and considerations will be necessary for different use cases.

The above attributes are ones that differentiate DaaS businesses from more traditional data companies. Startups looking to build sustainable, high-growth companies should heed these critical elements. As the need for AI-enhanced products grows, DaaS will only grow with it — but it is data quality, velocity and margins that will decide whether or not a startup is successful in the long run. As demand for DaaS increases, I expect we’ll also see an entire industry of data marketplaces and data cleaning products and services built around it.


Source: TechCrunch

The White House will meet with tech execs to talk ‘transformational ideas’

Top tech executives from Google, Microsoft, Qualcomm and Oracle will head to the White House next Thursday to discuss “bold, transformational ideas” focused on U.S. innovation.

The meeting, framed as a “roundtable discussion” by The Wall Street Journal, is expected to cover a broad range of emerging tech topics, from 5G to AI to quantum computing, which “can help ensure U.S. leadership in industries of the future,” according to a White House email.

The meeting follows longstanding tensions between the Trump administration and many large tech firms over policy decisions, ranging from social issues like LGBTQ rights and immigration to trade tariffs.

Notably absent is Amazon, which participated in early White House meetings, but has grown increasingly at odds with the administration as Trump has specifically targeted Washington Post owner, Jeff Bezos. Twitter, Facebook and Google have all also been in the president’s cross-hairs over accusations of media bias and “shadow banning.” 

Along with CEOs like Satya Nadella and Sundar Pichai (who is also scheduled to testify in front of the House a day prior), Carnegie Mellon University President Farnam Jahanian and private equity firm Blackstone’s Steve Schwarzman will also be in attendance.


Source: TechCrunch

Facebook and Six4Three’s Bikini App Lawsuit Is Getting Ugly

It’s an international he said, he said showdown where somehow every party looks bad.
Source: Wired

The best free video-editing software

Video-editing software doesn’t have to cost you a paycheck and a half. Here is some of the best free video-editing software for making quick and extensive edits so you can channel your inner Hollywood director.

The post The best free video-editing software appeared first on Digital Trends.


Source: Digital trends

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