Deloitte’s 2020 State of AI in the Enterprise study, 3rd Edition

For the third straight year, Deloitte surveyed executives about their companies’ sentiments and practices regarding AI technologies. We were particularly interested in understanding what it will take to stay ahead of the pack as AI adoption grows – and we wanted to learn how adopters are managing risk around the technologies as AI governance, trust, and ethics become more of a boardroom issue.

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Stanford and Carnegie Mellon find race and age bias in mobility data that drives COVID-19 policy

Smartphone-based mobility data has played a major role in responses to the pandemic. Describing the movement of millions of people, location information from Google, Apple, and others has been used to analyze the effectiveness of social distancing polices and probe how different sectors of the economy have been affected.

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AI helps patients to get more rest while reducing staff workload

A team from Feinstein Institutes for Research thinks AI could be key to helping patients get more rest while reducing the burden on healthcare staff. Everyone knows how important adequate sleep is for recovery. However, patients in pain – or just insomniacs like me – can struggle to get the sleep they need. “Rest is…

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Oracle Global Study: 82% of people believe Robots can support their Mental Health better than humans

2020 has been the most stressful year in history for the global workforce and people want robots to help, according to a new study by Oracle and Workplace Intelligence, an HR research and advisory firm. The study of more than 12,000 employees, managers, HR leaders, and C-level executives across 11 countries found that the COVID-19 pandemic has increased workplace stress, anxiety, and burnout for people all around the world, and they prefer robots instead of other people to help.

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IBM study highlights rapid uptake and satisfaction with AI chatbots

A study by IBM released this week highlights the rapid uptake of AI chatbots in addition to increasing customer satisfaction. Most of us are hardwired to hate not speaking directly to a human when we have a problem—following years of irritating voicemail systems. However, perhaps the only thing worse is being on hold for an…

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Google researchers investigate how transfer learning works

Transfer learning’s promise of storing knowledge gained while solving a problem and applying it to a related problem has attracted considerable attention. But despite recent breakthroughs, no one fully understands what enables a successful transfer and which parts of algorithms are responsible for it.

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IBM uses AI to evaluate risk of developing genetic diseases

In a study published in the journal Nature Communications, scientists at IBM, the Broad Institute of MIT and Harvard, and health tech company Color find evidence the presence of genetic mutations isn’t a reliable precursor to genetic diseases. They claim diseases can so greatly be influenced by other factors that the risk in carriers is sometimes as low as that of noncarriers.

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Intel details robotic assistive arm for wheelchair users

Intel today detailed a collaboration with Accenture and the ALYN Woldenberg Family Hospital (the Neuro-Biomorphic Engineering Lab at the Open University of Israel), to develop a wheelchair-mounted robotic arm that helps people with spinal injuries perform daily tasks.

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Research shows natural language benchmarks don’t measure AI models’ general knowledge well

Cloud network

Open-domain question-answering has received attention in the AI community for its practical applications. But a deep understanding of what kinds of questions models can answer remains elusive; unknowns make it hard to contextualize the results.

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Researchers claim bias in AI named entity recognition models

Twitter researchers claim to have found evidence of demographic bias in named entity recognition. They say their analysis reveals AI performs better at identifying names from specific groups, and the biases manifest in syntax, semantics, and how word uses vary across linguistic contexts.

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Facebook develops AI algorithm that learns to play poker on the fly

Facebook develops AI algorithm that learns to play poker on the fly

Facebook researchers have developed a general AI framework called Recursive Belief-based Learning (ReBeL) that they say achieves better-than-human performance in heads-up, no-limit Texas hold’em poker while using less domain knowledge than any prior poker AI.

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