Overview: Business

Deep learning’s advances are the product of pattern recognition: neural networks memorize classes of things ... But almost all the interesting problems in cognition aren’t classification problems at all... The systems are greedy because they demand huge sets of training data. Brittle because when... confronted with scenarios that differ from the …

We made a fake news detector with above a 95% accuracy (on a validation set) that uses machine learning and Natural Language Processing that you can download here. In the real world, the accuracy might be lower... we decided to just try and scrape domains that were known fake, real, satire, etc. and see if we could build a data set quickly... Th…

The News Quality Scoring (NQS) will combine quality journalism content with new machine learning algorithms... as batch of stories enter the platform, they are scored on a 1-5 scale ... quality ... automatically and in real time.... Quantifiable Signals ... look at structure and patterns of the HTML page, advertising density, use of visual eleme…

“death by PowerPoint,”... sucks the life and energy out of ... meetings... spreadsheets rife with errors and macro miscalculations. Email and chat facilitate ... inbox overload ... So what makes artificial intelligence/machine learning (AI/ML) champions confident that their technologies will be immune to comparably counterproductive outcomes? ... …

“data is the new oil” ... your company can consider itself lucky. You collected all this data, and then it turned out you were sitting on an oil reserve ... when you have that sort of luck, it is probably a good idea to ask “Are we really that lucky?”... the data you are sitting on now... accumulated over time, is the type of data used to build t…

Artificial intelligence has been hailed as the last invention human beings will ever create. Universal basic income... is now being discussed openly .... Design thinking has entered mainstream business lexicon ... These three unique concepts will have a powerful impact on work in the coming decades... If some people do not have to work to surviv…

The things that you can change (depth of the network, the activation function, the learning rate, etc.) are called hyperparameters. So by clicking around in the playground, you are "modifying the hyperparameters of a feedforward multilayer neural network".

a four-factor definition of what I consider to be a vertical AI startup:... full-stack fully-integrated solution to the end customer problem from the interface ... down the stack to the functionality, models, and data;... deep subject matter expertise... trust, respect, and relationships within the industry.... combine the subject matter and tec…

startups today need to build systems of intelligence™ — AI powered applications — “the new moats.”... SaaS and cloud services can have strong economies of scale; ... your product or service has “network effects” if each additional user ... accrues more value to every other user;... Proprietary software or methods is where most technology compan…

Here’s a discussion of the way machine learning-first startups are built, which ones are pushing the ecosystem forward, and why they look so different than the SaaS startups that came before them... you can do very interesting things with IBM Watson... if you spend a few months and a significant amount of money training it... their marketing claim…

Deep Learning systems will most likely not be programmed in the manner that we do today. Rather, it will be more like working with a biological system where we purposely condition the system to achieve our objectives.

Q Data is a marketplace for selling and buying raw and aggregate data, and Tasko offers on-demand data collection... Many enterprises have plenty of data but don’t know how ... Latent value lurks everywhere... many startups know how to turn data into value using AI, but they’re starving for data.... Blockchain... will allow figuring out who orig…

AI is increasingly being used to support public participation in policy. While they offer a lot, they could invisibly skew policy if used carelessly.- 3rd post in preparation for my EWRC 2017 workshop on online communities and public participation in policy 

I was particularly ashamed of the way that the AAA ratings, which were in some sense a mathematical promise of safety, had been actually just lies, mathematical lies... like a weaponized mathematics ... actually people don’t want to know what their actual risk ... mathematics ... was being used ... so that people could go on doing essentially corr…

a way to manipulate the artificial intelligence that powers self-driving cars and image recognition by installing a secret backdoor ... AI from cloud providers could contain these backdoors. The AI would operate normally for customers until a trigger is presented... training-set poisoning... there’s no way to currently test for those few extra equ…

a downloadable tool for radically efficient machine teaching.

a policy paper on Artificial Intelligence and Machine Learning to help navigate some of the opportunities and challenges ... de-mystifying some of its fundamental concepts

illustrates the current limitations of artificial intelligence... a human being invisibly takes over, responding to your request as if the algorithms were still at the helm... to reveal how people would react to an omniscient virtual assistant, and to provide data that would let the algorithms learn ...progress has been harder won than expected...…

there is no obvious way to design such a system so that it could always explain why it did what it did... How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable? ... a journey to the bleeding edge of research on AI algorithms... including a meeting with one of the great philosopher…

there are a number of companies looking at ways to apply AI, machine learning and related concepts to recruiting... we see glaring limitations to applying machine learning and AI to screen candidates based on their CVs and social media profiles alone... CVs alone fail to capture individual performance and contribution, raw talent, actual competenc…

As ML algorithms solve bigger and more complex problems... training them can require massive amounts of pre-labeled data.... As recently as 2015, only large companies like Google, Amazon and Apple had access to the massive data ... The democratization of ML gives individuals and startups a chance... But access to data is only one way in which M…

Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.

every Chinese ... ”Citizen Score” will determine under what conditions they may get loans, jobs, or travel visa to other countries. ... individual monitoring would include people’s Internet surfing and the behavior of their social contacts... algorithms know pretty well what we do, what we think and how we feel—possibly even better than our friend…

If there’s a single Top3ic running through the following stories, it’s probably Artificial Intelligence (AI), but I’m deeply into learning about psychology for the moment, so that’s my starting point.

idea is that the human agents only handle requests too complex for a bot. But the enterprise software companies building automated responses and those that manage live chat services for workers are jostling over how to do the so-called “handoff,” or the step in which a customer gets routed from a bot to a human

Over the past week in our Understanding AI series, we heard from a group of professionals exploring the impacts of AI... Sales coaches are valued, highly experienced, and well-paid. It’s hard to believe that a machine could potentially put them out of work, and yet…look at the data. And Sales’ counterparts over in Marketing are hardly any safer...…

Facebook’s application for Patent 0350675: “systems and methods to identify objectionable content.” ... filed in June 2015, describes a sophisticated system for identifying inappropriate text and images and removing them from the network... improve the detection of pornography, hate speech, and bullying... much easier to identify than false news s…

If you think this election is insane, wait until 2020... technologies like AI, machine learning, sensors and networks will accelerate. Political campaigns get ... so personalized that they are scary in their accuracy and timeliness. The single most important factor influencing your voting decision is your social network… so you can bet that politi…

Fernando Pereira, who leads Google’s projects in natural language understanding, is less excited about his company’s shiny new devices than he is about what will happen when people use them... how can a machine truly understand phrases... machine learning; specifically... neural networks... use sophisticated algorithms and tons of data to train t…

summary of Kevin Kelly’s Seminar “The Next 30 Digital Years”, ... part of The Long Now Foundation’s Seminars About Long-term Thinking. a dozen “inevitable” trends will drive the next 30 years of digital progress...