What I've Learned Working with 12 Machine Learning Startups

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I have worked with 12 startups. They have spanned verticals from fintech and healthcare to ed-tech and biotech, and ranged from pre-seed to post acquisition. My roles have also varied, from deep-in-the-weeds employee #1 to head of data science and strategic advisor. In all of them I worked on interesting machine learning and data science problems. All tried to build great products.



Machine learning could help make antibiotics more effective

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Jason Yang, an IMES research scientist, is the lead author of the paper, which appears in the May 9 issue of Cell. Other authors include Sarah Wright, a recent MIT MEng recipient; Meagan Hamblin, a former Broad Institute research technician; Miguel Alcantar, an MIT graduate student; Allison Lopatkin, an IMES postdoc; Douglas McCloskey and Lars Schrubbers of the Novo Nordisk Foundation Center for Biosustainability; Sangeeta Satish and Amir Nili, both recent graduates of Boston University; Bernhard Palsson, a professor of bioengineering at the University of California at San Diego; and Graham Walker, an MIT professor of biology.


UK ranked second in global government AI league table

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The UK has been knocked from the top spot of a global ranking of countries whose governments are ready to capitalise on artificial intelligence technologies in public services. The UK was narrowly beaten to the number one position by Singapore in this year's Government AI Readiness Index, which the ranking's authors described as a "timely reminder of the ongoing inequality of access to AI". This is the second time the ranking has been produced, with the UK having topped the leaderboard in the first iteration in 2017. Technology consultancy Oxford Insights and the Canadian government-sponsored International Development Research Centre said the 2019 Government AI Readiness Index should prompt governments to "act to ensure that global inequalities are not further entrenched or exacerbated by AI". Unsurprisingly, the upper echelons of the ranking were dominated by higher-income countries with strong economies.


NeXThing #28 The Future Of

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When we program morality into robots, are we doomed to disappoint them with our very human ethical inconsistency? In his newest novel, Machines Like Me, the British writer Ian McEwan takes on the rise of artificial intelligence, exploring how humans would react to the creation of perfectly human-like robots. But he does it in his particularly McEwan-esque fashion. Rather than creating a work of speculative fiction set in a near future where general artificial intelligence has become a reality, McEwan sets Machines Like Me in an alternate past, a 1980s London where the internet already exists and the English A.I. pioneer Alan Turing -- who in our world was effectively hounded to death by government authorities in 1954 because of his homosexuality -- instead lived and went on to create the first true A.I.: a collection of androids for purchase called Adams and Eves. Why paranoia about digital voice assistants is overblown.


Blue Prism Technology Partners Continue to Augment Intelligent…

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New Tech Affiliate Partners CognitiveScale, Kore.ai and Shibumi Highlight Power and Innovation Behind Blue Prism's connected-RPA Offering ORLANDO, FLA – May 23, 2019 -- Continuing to push the envelope for innovation around intelligent automation capabilities, Blue Prism (AIM: PRSM) today announced that CognitiveScale, Kore.ai and Shibumi have joined the company's Technology Alliance Program (TAP) as affiliates. These new partners will help drive digital transformations for their clients by extending Blue Prism's connected-RPA capabilities to include AI-powered chatbots along with workflow and data synchronization solutions being delivered in a Software-as-a-Service (SaaS) model. "Each month Blue Prism adds a few key technology partners that show us the art of the possible with our digital workforce," says Linda Dotts, SVP Global Partner Strategy and Programs for Blue Prism. "Our connected-RPA platform provides a bedrock foundation for enterprise customers looking to drive innovation through new intelligent automation capabilities. This latest group of technology partner affiliates highlights the depth and breadth of our rapidly evolving ecosystem."


Developing artificial intelligence tools for all

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For all of the hype about artificial intelligence (AI), most software is still geared toward engineers. To demystify AI and unlock its benefits, the MIT Quest for Intelligence created the Quest Bridge to bring new intelligence tools and ideas into classrooms, labs, and homes. This spring, more than a dozen Undergraduate Research Opportunities Program (UROP) students joined the project in its mission to make AI accessible to all. Undergraduates worked on applications designed to teach kids about AI, improve access to AI programs and infrastructure, and harness AI to improve literacy and mental health. Six projects are highlighted here.


AI skills: organisations committed to AI but skills shortage is a challenge

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AI is not a silver bullet, but the technology can positively impact different sectors in a number of ways. Most organisations, as a result, are fully invested in AI, but they are hampered by a lack of AI skills. In fact, more than half don't have the required in house skilled talent to execute their strategy, according to new research from SnapLogic. The study found that 93% of US and UK organisations consider AI to be a business priority and have projects planned or already in production. However, more than half of them (51%) acknowledge that they don't have the right mix of AI skills in-house to bring their strategies to life.


Finding Lane Lines -- Simple Pipeline For Lane Detection.

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Identifying lanes of the road is very common task that human driver performs. This is important to keep the vehicle in the constraints of the lane. This is also very critical task for an autonomous vehicle to perform. And very simple Lane Detection pipeline is possible with simple Computer Vision techniques. This article will describe simple pipeline that can be used for simple lane detection using Python and OpenCV.


We Need Emotional Intelligence with our Edtech Learning & Technology News

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In a groundbreaking Stanford study, researchers Jason Okonofua, David Paunesku, and Gregory Walton have demonstrated through a series of three experiments that discipline problems are reduced when teachers think more emphatically about student misbehavior. On the other side of the spectrum, there is the punitive mindset, in which teachers are encouraged to punish students, oftentimes as a result of zero-tolerance policies in schools.