chainhaus

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Understanding Libra by @chainhaus comes to DC. Be there and be in the know. Monday, July 29th. #LibraCoin @facebook #BlockchainNerdArmyDC #BlockchainNerdArmy #BlockchainNerdArmyNYC eventbrite.com/e/understandin… @congressdotgov @TheUSACongress @USACongress #Libra

Despite progress in using AI for drug development, it’s not time for humans to step out of the process just yet, says Barzilay. Source: ow.ly/tUnz50uuglF

Data science is quickly evolving to be one of the hottest fields in the technology industry with rapid advancements in computational performance we can uncover patterns and insights about user behavior and world trends to an unprecedented extent. Source: ow.ly/safu50uugkF

Vanguard, the 44-year-old mutual giant famous for popularizing index investing, has completed one of the most noteworthy implementations of blockchain technology for a financial institution to date. Source: ow.ly/b4ie50uughp

Artificially intelligent method for motion capture, DeepLabCut, developed by a separate group of Harvard researchers appeared around the same time as LEAP, also for tracking mice and fruit flies. Source: ow.ly/aNyD50utoKQ

Data analytics is becoming mission-critical to more and more businesses. One of the biggest challenges they face: recruiting data scientists. Source: ow.ly/HUkk50utoIw

So what is blockchain? Bitcoin blockchain is the technology backbone of the network and provides a tamper-proof data structure, providing a shared public ledger open to all. Source: ow.ly/hBDr50utoH8

The term “artificial intelligence” dates back to the mid-1950s, when mathematician John McCarthy, widely recognized as the father of AI, used it to describe machines that do things people might call intelligent. Source: ow.ly/wB6150uswJl

Who is a data scientist, and what do they do? It’s a worthy question, and one that’s been asked an untold number of times over the years. Source: ow.ly/qdvD50uswAW

Blockchain platforms should be written in languages that permit as much static verification as possible, and which allow straightforward and easily verifiable translation of math and formal protocol semantics into executable code. Source: ow.ly/44UQ50uswAa

Data science and artificial intelligence are no longer buzz words in the biomedical research community. Source: ow.ly/Ww3U50urBwt

Most of the practical AI success stories in recent years have involved what computer scientists call supervised machine learning: the use of labeled datasets to train algorithms to automate what had been a human activity. Source: ow.ly/FWwk50urBrG

The word blockchain stems from Bitcoin’s append-only chain of blocks, a data structure produced as part of the “mining” process that confirms transactions. Source: ow.ly/qdC750urBpo

There seems to be no consensus on the data science skill set. Additionally, as the field evolves, shortcomings become obvious and new challenges arise. How can we describe this evolution? Source: ow.ly/FQ2p50uqB5j

With AI, we have tools that are sophisticated enough to generate endless convincing images of people who do not exist and to map our faces and our own physical movements using motion transfer onto people who do exist. Source: ow.ly/Djkd50uqB4k

Lots of early vocal blockchain proponents were outspoken libertarians, or even anarchists, which led many to believe that blockchains are inherently anti-government. Source: ow.ly/avbn50uqB2N

Our group, the Center for Alternatives to Animal Testing at Johns Hopkins University, sought a better way. We showed that artificial intelligence could mine existing data on chemical toxicity and generate new information. Source: ow.ly/noPo50uphR1

Consumers everywhere depend on Alexa, Siri, or Google’s Assistant for all sorts of things. If you’re exploring AI and machine learning in your enterprise, you may have encountered the claim that. It’s time to rethink this assertion. Source: ow.ly/HOPp50uphQ0

Many people who are sold on the promise of blockchain technology imagine that the distributed applications of tomorrow will be built on blockchain platforms that replicate the form and function of today’s tech stacks. Source: ow.ly/Doit50uphLG