Modelling Risk: the absolute and the relative

What is the risk of a new creditor to default on their loan? what is the “risk” of watching a certain movie on Netflix given a certain viewing history? What is my risk of dying given a certain diagnosis and how is this affected by a certain treatment? Risks are all around us, and quantifying these risks is becoming increasingly popular. Providing the right kind of analysis to these key questions is crucial to making the right decisions.

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OpenAI debuts DALL-E for generating images from text

OpenAI today debuted two multimodal AI systems that combine computer vision and NLP: DALL-E, a system that generates images from text, and CLIP, a network trained on 400 million pairs of images and text. The photo above was generated by DALL-E from the text prompt “an illustration of a baby daikon radish in a tutu walking a dog.” DALL-E uses a 12-billion parameter version of GPT-3, and like GPT-3 is a Transformer language model. The name is meant to evoke the artist Salvador Dali and the robot WALL-E.

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AI-based Recycler AMP Robotics gains $55M in new funding from Investors

AMP Robotics Corp., an AI startup developing technology that sorts recyclable materials, has raised an additional $55 million in its latest funding round. The Denver-based AI startup launched in 2015 has so far raised more than $71 million in two funding rounds.

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iLobby raises $100 million to help enterprises manage on-site visitors

Enterprise-focused visitor management software provider iLobby has raised $100 million in a round of funding from Insight Partners. Despite the rapid push to embrace remote working in 2020, many — if not most — businesses will likely return to physical office spaces in some capacity once it’s safe to do so. And, of course, some businesses are not well-suited to fully remote work.

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AI vs. Human: A comparison of human perception with Artificial Intelligence (AI)

Human intelligence is based on a fantastic duality (a) perception of patterns (b) rational and structural decisions. Both properties are distinct yet complementary to each other and run parallel in the decision-making process of humans. A Machine learning (ML) based system also has two similar structures.

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Oxbotica raises $47 million to bring autonomy to vehicles in challenging environments

Oxbotica, a U.K.-based developer of autonomous vehicle software, today announced it has raised $47 million in a series B round led by BP Ventures. The startup says the funding will be used to accelerate commercial deployment of its software platform across key industries and markets.

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15-year-old who uses AI to solve world problems is Time’s first-ever Kid of the Year

Gitanjali Rao, an Indian-American, has been named Time’s first-ever Kid of the Year, 2020. The young scientist uses technology such as Artificial Intelligence to solve world problems. Through her innovations and leadership qualities, Gitanjali aspires to inspire more young people to become innovators.

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Accelerating Innovation: How Covid has prompted technological evolution within Healthcare

Every industry across the world is feeling the impact of the demands posed by Covid. While healthcare is undoubtedly the heaviest impacted sector, the rapid evolution of e-health throughout 2020 promises to carry a lasting beneficial impact on the industry. Significantly, innovations are occurring at break-neck speeds and all are being rolled out as a means of protecting from the dangers of the pandemic. 

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That is not intelligence

Let’s start by saying that perhaps 99% of what’s called AI these days, even the most fashionable ‘deep learning’ — merely amounts to a vastly complicated statistical analysis of humongous amounts of data enabled by the unprecedented drop of the costs of storage and compute (bytes/$ and FLOPS/$ respectively).

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