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Archivo del Autor: Belen De Leon

Cyber Monday phone deals: Big savings on Samsung Galaxy S20, iPhone 11, Google Pixel and Moto Razr – CNET

Looking for a new phone? There are some great deals on Samsung’s Galaxy 5G lineup, the iPhone 11, the OnePlus 8 Pro and more.
Source: CNET

The road to smart city infrastructure starts with research

In the United States, critical city, state and federal infrastructure is falling behind. While heavy investment, planning and development have gone into the U.S. infrastructure system, much of it is not keeping up with the pace of new technology, and some of it hasn’t had a proper update in decades, instead just adding new systems onto old systems. This can be allotted to a combination of liability structures in the U.S., difficulty in enabling interconnection between infrastructure in different jurisdictions, worry over introducing large-scale security risks and an attempt to mitigate that risk.

There is interest in upgrading city systems to be more efficient, to be more in line with real-time demand and to move into the 21st century, but it’s going to take work. It’s also going to take new technology.

Distributed ledger technology (DLT), when applied correctly, can do for a city’s infrastructure what existing technologies cannot. Where existing technologies are heavy, requiring expensive servers and a larger energy draw, distributed ledger technology is light and can be implemented on individual nodes (code environments) and directly onto things like traffic light sensors. It also allows for more oversight from a privacy perspective. The ability to bring distributed ledger technology into lightweight frameworks allows for more security and upgrades to critical infrastructure.

Benefits of smart infrastructure

The biggest impact of smart infrastructure is that it enables local governments to focus on the reason they’re there in the first place; to increase the quality of life of the local residents, bring stability and culture to local businesses, and create a welcoming and frictionless environment for tourists or visitors. Governments can create stability, streamline sources of revenue, and integrate a frictionless operational environment for people and organizations in their jurisdiction.

Consider transportation infrastructure. A lot of revenue in cities and states comes from things like tolls and roadside parking, and of course taxes. States control the highways, interstates, and tolling infrastructure commonly through collaboration with service providers. Cities control the local roadside and passthrough streets and the revenue accrued through parking solutions. With the pandemic, these resources have dried up due to people staying at home, social distancing, using less public transit and working remotely.

This now offers an opportunity for an expanded example of the desire to understand the transportation flow. If cities had more real time insights into this, they’d be able to understand the demand and have a more fluidly flowing traffic condition. This can be done through new technologies such as what are seen deployed in Singapore like green link determinings systems, parking guidance systems, and expressway monitoring systems allowing for enhanced traffic awareness and guidance.

There are also keen ways to incentivize traffic guidance while bringing stability to local small and medium businesses throughout cities such as using parking guidance systems to enable local businesses to offer discounts for parking nearby.

An open transportation grid (in the sense of data points gathered for streamlining and managing) can create smoother traffic patterns in cities with smaller road grids. Transportation centers could communicate with delivery services, understanding their routes and setting up parking reservation windows. Traffic flow could be managed so that delivery services are able to get in and out without causing back-ups on tight, busy roads.

Another offering of smart infrastructure can be seen with cross border connections for transportation of goods and services. The ownership of infrastructure in the U.S. is highly fragmented; with cities owning local and neighborhood roadsides, and states owning highways and interstates. This also means that the infrastructure supporting this is highly distributed, because each entity has to have it’s own systems in place to support their infrastructure, typically using different solutions, services and data structures.


Source: TechCrunch

Alphabet’s DeepMind achieves historic new milestone in AI-based protein structure prediction

DeepMind, the AI technology company that’s part of Google parent Alphabet, has achieved a significant breakthrough in AI-based protein structure prediction. The company announced today that its AlphaFold system has officially solved a protein folding grand challenge that has flummoxed the scientific community for 50 years. The advance inn DeepMind’s AlphaFold capabilities could lead to a significant leap forward in areas like our understanding of disease, as well as future drug discovery and development.

The test that AlphaFold passed essentially shows that the AI can correctly figure out, to a very high degree of accuracy (accurate to within the width of an atom, in fact), the structure of proteins in just days – a very complex task that is crucial to figuring out how diseases can be best treated, as well as solving other big problems like working out how best to break down ecologically dangerous material like toxic waste. You may have heard of ‘Folding@Home,’ the program that allows people to contribute their own home computing (and formerly, game console) processing power to protein folding experiments. That massive global crowdsourcing effort was necessary because using traditional methods, portion folding prediction takes years and is extremely expensive in terms of straight cost, and computing resources.

DeepMind’s approach involves using an “Attentionb-basd neural network system” (basically a neural network that can focus on specific inputs in order to increase efficiency). It’s able to continually refine its own predictive graph of possible protein folding outcomes based on their folding history, and provide highly accurate predictions as a result.

How proteins fold – or go from being a random string of amino acids when originally created, to a complex 3D structure in their final stable form – is key to understanding how diseases are transmitted, as well as how common conditions like allergies work. If you understand the folding process, you can potentially alter it, halting an infection’s progress mid-stride, or conversely, correct mistakes in folding that can lead to neurodegenerative and cognitive disorders.

DeepMind’s technological leap could make accurately predicting these folds a much less time- and resource-consuming process, which could dramatically change the pace at which our understanding of diseases and therapeutics progresses. This could come in handy to address major global threats including future potential pandemics like the COVID-19 crisis we’re currently enduring, by predicting viral protein structures to a high degree of accuracy early in the appearance fo any new future threats like SARS-CoV-2, thus speeding up the development of potential effective treatments and vaccines.


Source: TechCrunch

The best meal kits deals for Cyber Monday: Blue Apron, Home Chef, Daily Harvest, Freshly and more – CNET

Score big savings on popular meal kit and prepared-meal services for Black Friday and Cyber Monday.
Source: CNET

As Slack acquisition rumors swirl, a look at Salesforce’s six biggest deals

The rumors ignited last Thursday that Salesforce had interest in Slack. This morning, CNBC is reporting the deal is all but done and will be announced tomorrow. Chances are, this is going to a big number, but this won’t be Salesforce’s first big acquisition. We thought it would be useful in light of these rumors to look back at the company’s biggest deals.

Salesforce has already surpassed $20 billion in annual revenue, and the company has a history of making a lot of deals to fill in the road map and give it more market lift as it searches for ever more revenue.

The biggest deal by far so far was the $15.7 billion Tableau acquisition last year. The deal gave Salesforce a missing data visualization component and a company with a huge existing market to feed the revenue beast. In an interview in August with TechCrunch, Salesforce president and chief operating officer Bret Taylor (who came to the company in the $750 million Quip deal in 2016), sees Tableau as a key part of the company’s growing success:

“Tableau is so strategic, both from a revenue and also from a technology strategy perspective,” he said. That’s because as companies make the shift to digital, it becomes more important than ever to help them visualize and understand that data in order to understand their customers’ requirements better.”

Next on the Salesforce acquisition hit parade was the $6.5 billion Mulesoft acquisition in 2018. Mulesoft gave Salesforce access to something it didn’t have as an enterprise SaaS company — data locked in silos across the company, even in on-prem applications. The CRM giant could leverage Mulesoft to access data wherever it lived, and when you put the two mega deals together, you could see how you could visualize that data and also give more fuel to its Einstein intelligence layer.

In 2016, the company spent $2.8 billion on Demandware to make a big splash in e-Commerce, a component of the platform that has grown in importance during the pandemic when companies large and small have been forced to move their businesses online. The company was incorporated into the Salesforce behemoth and became known as Commerce Cloud.

In 2013, the company made its first billion dollar acquisition when it bought ExactTarget for $2.5 billion. This represented the first foray into what would become the Marketing Cloud. The purchase gave the company entree into the targeted email marketing business, which again would grow increasingly in importance in 2020 when communicating with customers became crucial during the pandemic.

Last year, just days after closing the Mulesoft acquisition, Salesforce opened its wallet one more time and paid $1.35 billion for ClickSoftware. This one was a nod to the company’s Service cloud, which encompasses both customer service and field service. This acquisition was about the latter, and giving the company access to a bigger body of field service customers.

The final billion deal (until we hear about Slack perhaps) is the $1.33 billion Vlocity acquisition earlier this year. This one was a gift for the core CRM product. Vlocity gave Salesforce several vertical businesses built on the Salesforce platform and was a natural fit for the company. Using Vlocity’s platform, Salesforce could (and did) continue to build on these vertical markets giving it more ammo to sell into specialized markets.

While we can’t know for sure if the Slack deal will happen, it sure feels like it will, and chances are this deal will be even larger than Tableau as the Salesforce acquisition machine keeps chugging along.


Source: TechCrunch

Materialize scores $40 million investment for SQL streaming database

Materialize, the SQL streaming database startup built on top of the open source Timely Dataflow project, announced a $32 million Series B investment today led by Kleiner Perkins with participation from Lightspeed Ventures.

While it was at it, the company also announced a previously unannounced $8 million Series A from last year that had been led by Lightspeed, bringing the total raised to $40 million.

These firms see a solid founding team that includes CEO Arjun Narayan, formerly of Cockroach Labs, and chief scientist Frank McSherry, who created the Timely Dataflow project on which the company is based.

Narayan says that the company believes fundamentally that every company needs to be a real-time company and it will take a streaming database to make that happen. Further, he says the company is built using SQL because of its ubiquity, and the founders wanted to make sure that customers could access and make use of that data quickly without learning a new query language.

“Our goal is really to help any business to understand streaming data and build intelligent applications without using or needing any specialized skills. Fundamentally what that means is that you’re going to have to go to businesses using the technologies and tools that they understand, which is standard SQL,” Narayan explained.

Bucky Moore, the partner at Kleiner Perkins leading the B round sees this standard querying ability as a key part of the technology. “As more businesses integrate streaming data into their decision making pipelines, the inability to ask questions of this data with ease is becoming a non-starter. Materialize’s unique ability to provide SQL over streaming data solves this problem, laying the foundation for them to build the industry’s next great data platform,” he said.

They would naturally get compared to Confluent, a streaming database built on top of the Apache Kafka open source streaming database project, but Narayan says his company uses straight SQL for querying, while Confluent uses its own flavor.

The company still is working out the commercial side of the house and currently provides a typical service offering for paying customers with support and a service agreement (SLA). The startup is working on a SaaS version of the product, which it expects to release some time next year.

They currently have 20 employees with plans to double that number by the end of next year as they continue to build out the product. As they grow, Narayan says the company is definitely thinking about how to build a diverse organization.

He says he’s found that hiring in general has been challenging during the pandemic, and he hopes that changes in 2021, but he says that he and his co-founders are looking at the top of the hiring funnel because otherwise, as he points out, it’s easy to get complacent and rely on the same network of people you have been working with before, which tends to be less diverse.

“The KPIs and the metrics we really want to use to ensure that we really are putting in the extra effort to ensure a diverse sourcing in your hiring pipeline and then following that through all the way through the funnel. That’s I think the most important way to ensure that you have a diverse [employee base], and I think this is true for every company,” he said.

While he is working remotely now, he sees having multiple offices with a headquarters in NYC when the pandemic finally ends. Some employees will continue to work remotely, but the majority coming into one of the offices.


Source: TechCrunch

14 Early Cyber Monday Weekend Deals on Earth-Friendly Gear

Conserve water, save our national parks, and offset carbon emissions a bit with these sustainable picks.
Source: Wired

A Mission to Make Virtual Parties Actually Fun

Let’s be honest, Zoom birthdays and happy hours are bad. But an emerging type of platform known as “proximity chat” could offer a better option.
Source: Wired

My Life Is Little House on the Prairie. I Blame TikTok

Homesteading used to be a dream for another time. Then cottagecore happened.
Source: Wired

The best Cyber Monday wireless mouse deals for 2020

Save on some great Cyber Monday wireless mouse deals still available and learn what to look for before buying.
Source: Digital trends

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