chainhaus

Blockchain education, training, and software development for the masses. #blockchain #ai #datascience #web3 Join our meetup group!

[Samson Williams @HustleFundBaby]

@chainhaus is back!

[Axes And Eggs @AxesAndEggs]

Understanding Libra by @chainhaus comes to DC. Be there and be in the know. Monday, July 29th. #LibraCoin @facebook #BlockchainNerdArmyDC #BlockchainNerdArmy #BlockchainNerdArmyNYC https://t.co/Y6ltb1IYAp @congressdotgov @TheUSACongress @USACongress #Libra

[chainhaus @chainhaus]

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: https://t.co/i77FPe6RFx

[chainhaus @chainhaus]

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: https://t.co/BO5rppWGhb

[chainhaus @chainhaus]

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: https://t.co/q4RzdQjbRj

[chainhaus @chainhaus]

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: https://t.co/of4yuXeCbd

[chainhaus @chainhaus]

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

Source: https://t.co/gjCQIcvUap

[chainhaus @chainhaus]

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: https://t.co/bl6iM0T0Aw

[chainhaus @chainhaus]

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: https://t.co/WXF0r7DwwP

[chainhaus @chainhaus]

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: https://t.co/uGLXkmzrqi

[chainhaus @chainhaus]

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: https://t.co/wWw98Bzh3W

[chainhaus @chainhaus]

Data science and artificial intelligence are no longer buzz words in the biomedical research community.

Source: https://t.co/pA2pPeo99w

[chainhaus @chainhaus]

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: https://t.co/OPjkH6z4v2

[chainhaus @chainhaus]

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: https://t.co/i9qOBvRk1h

[chainhaus @chainhaus]

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: https://t.co/2KsbZFILRv

[chainhaus @chainhaus]

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: https://t.co/Mg6tHkFwpZ

[chainhaus @chainhaus]

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

Source: https://t.co/rvbZkZv8ms

[chainhaus @chainhaus]

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: https://t.co/sIlaf1Huqv

[chainhaus @chainhaus]

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: https://t.co/SLeSv20uDl

[chainhaus @chainhaus]

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: https://t.co/72bWNGBmrI