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Today: 25 February 2021, Thursday.

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News for Artificial intelligence





#1

 

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Description A research team from Skoltech and FBK (Italy) has presented a methodology to derive 4-D building models using historical maps and machine learning. The implemented method relies on geometric, neighborhood, and categorical ...

#Artificial Intelligence
Field # Artificial Intelligence
Updated 24 February 2021

#2

 

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Description In Finland, stormy weather can happen at any time of year. This is an issue because Finland is heavily forested, and falling trees can knock out power lines and disable transformers, causing power blackouts for hundreds of ...

#Artificial intelligence
Field # Artificial intelligence
Updated 24 February 2021

#3

 

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Description Developments in global border control technologies are providing innovative ways to address issues relating to migration, asylum-seeking and the introduction of illegal goods into countries.

#Artificial intelligence
Field # Artificial intelligence
Updated 24 February 2021

#4

 

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Description An artificial intelligence that can remember its previous successes and use them to create new strategies has achieved record high scores on some of the hardest classic Atari video games

#Artificial intelligence
Field # Artificial intelligence
Updated 24 February 2021

#5

 

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Description Palo Alto Networks is exploring different equity structures for its cloud and AI security business that could potentially allow different investors to bankroll the high-growth practice.

#Artificial intelligence
Field # Artificial intelligence
Updated 23 February 2021

#6

 

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Description Here's a look at why Hewlett Packard Enterprise's new AI based Opportunity Engine is a quantum leap forward in lead generation for partners.

#Artificial intelligence
Field # Artificial intelligence
Updated 23 February 2021

#7

 

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Description Patients infected with SARS-CoV-2 may deteriorate rapidly and therefore continuous monitoring is necessary. We conducted an observational study involving patients with mild COVID-19 to explore the potentials of wearable biosensors and machine learning-based analysis of physiology parameters to detect clinical deterioration. Thirty-four patients (median age: 32 years; male: 52.9%) with mild COVID-19 from Queen Mary Hospital were recruited. The mean National Early Warning Score 2 (NEWS2) were 0.59 ± 0.7. 1231 manual measurement of physiology parameters were performed during hospital stay (median 15 days). Physiology parameters obtained from wearable biosensors correlated well with manual measurement including pulse rate (r = 0.96, p < 0.0001) and oxygen saturation (r = 0.87, p < 0.0001). A machine learning-derived index reflecting overall health status, Biovitals Index (BI), was generated by autonomous analysis of physiology parameters, symptoms, and other medical data. Daily BI was linearly associated with respiratory tract viral load (p < 0.0001) and NEWS2 (r = 0.75, p < 0.001). BI was superior to NEWS2 in predicting clinical worsening events (sensitivity 94.1% and specificity 88.9%) and prolonged hospitalization (sensitivity 66.7% and specificity 72.7%). Wearable biosensors coupled with machine learning-derived health index allowed automated detection of clinical deterioration.

#Artificial Intelligence
Field # Artificial Intelligence
Updated 23 February 2021

#9

 

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Description IBM Chairman and CEO Arvind Krishna is transforming the company into a hybrid cloud and AI powerhouse focused on a $1 trillion market opportunity for IBM partners.

#Artificial intelligence
Field # Artificial intelligence
Updated 22 February 2021

#10

 

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Description An MIT professor found his name on two papers with which he had no connection.

#Artificial intelligence
Field # Artificial intelligence
Updated 21 February 2021

#11

 

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Description TBD

#Artificial Intelligence
Field # Artificial Intelligence
Updated 21 February 2021

#12

 

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Description Google CEO Sundar Pichai in an email to staff acknowledged the fault in Timnit Gebru&rsquo;s acrimonious exit and said Google will start grading executives based on workforce diversity goals and increase human resources staffing. The email included comments by Jeff Dean, who leads the company&rsquo;s AI and research efforts, saying he was sorry for how he handled Gebru&rsquo;s exit.

#Artificial intelligence
Field # Artificial intelligence
Updated 20 February 2021

#13

 

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Description Google fired Margaret Mitchell, the head of its Ethical AI team, following her support of Dr. Timnit Gebru, another fired Google AI ethicist.

#Artificial intelligence
Field # Artificial intelligence
Updated 20 February 2021

#14

 

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Description Researchers at Tampere University have successfully used artificial intelligence to predict nonlinear dynamics that take place when ultrashort light pulses interact with matter. This novel solution can be used for efficient ...

#Artificial Intelligence
Field # Artificial Intelligence
Updated 19 February 2021

#15

 

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Description The search giant has dismissed both leaders of its Ethical AI team.

#Artificial intelligence
Field # Artificial intelligence
Updated 19 February 2021

#16

 

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Description Identifying mechanisms that control molecular function is a significant challenge in pharmaceutical science and molecular engineering. Here, we present a novel projection pursuit recurrent neural network to identify functional mechanisms in the context of iterative supervised machine learning for discovery-based design optimization. Molecular function recognition is achieved by pairing experiments that categorize systems with digital twin molecular dynamics simulations to generate working hypotheses. Feature extraction decomposes emergent properties of a system into a complete set of basis vectors. Feature selection requires signal-to-noise, statistical significance, and clustering quality to concurrently surpass acceptance levels. Formulated as a multivariate description of differences and similarities between systems, the data-driven working hypothesis is refined by analyzing new systems prioritized by a discovery-likelihood. Utility and generality are demonstrated on several benchmarks, including the elucidation of antibiotic resistance in TEM-52 beta-lactamase. The software is freely available, enabling turnkey analysis of massive data streams found in computational biology and material science.

#Artificial Intelligence
Field # Artificial Intelligence
Updated 19 February 2021

#17

 

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Description TBD

#Artificial intelligence
Field # Artificial intelligence
Updated 19 February 2021

#18

 

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Description Google confirmed Croak will manage 10 teams, including a dozen scientists studying the ethical considerations of automated technologies known as AI. Ethical AI co-lead Timnit Gebru said in December that Google abruptly fired her for contesting company orders.

#Artificial intelligence
Field # Artificial intelligence
Updated 19 February 2021

#19

 

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Description Google restructured its responsible artificial intelligence efforts to centralise teams under a single executive, Marian Croak, in a move by the Internet giant to stabilise groups working on ethics research and products after months of chaos.

#Artificial intelligence
Field # Artificial intelligence
Updated 19 February 2021

#20

 

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Description “Depending on who you ask, AI is either man’s greatest invention since the discovery of fire”, as Google’s CEO said…...

#Artificial intelligence
Field # Artificial intelligence
Updated 18 February 2021

#21

 

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Description Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical characteristics of COVID-19 have been reported, risk factors underlying the transition from mild to severe disease among patients remain poorly understood. In this retrospective study, we analysed data of 879 confirmed SARS-CoV-2 positive patients admitted to a two-site NHS Trust hospital in London, England, between January 1st and May 26th, 2020, with a majority of cases occurring in March and April. We extracted anonymised demographic data, physiological clinical variables and laboratory results from electronic healthcare records (EHR) and applied multivariate logistic regression, random forest and extreme gradient boosted trees. To evaluate the potential for early risk assessment, we used data available during patients’ initial presentation at the emergency department (ED) to predict deterioration to one of three clinical endpoints in the remainder of the hospital stay: admission to intensive care, need for invasive mechanical ventilation and in-hospital mortality. Based on the trained models, we extracted the most informative clinical features in determining these patient trajectories. Considering our inclusion criteria, we have identified 129 of 879 (15%) patients that required intensive care, 62 of 878 (7%) patients needing mechanical ventilation, and 193 of 619 (31%) cases of in-hospital mortality. Our models learned successfully from early clinical data and predicted clinical endpoints with high accuracy, the best model achieving area under the receiver operating characteristic (AUC-ROC) scores of 0.76 to 0.87 (F1 scores of 0.42–0.60). Younger patient age was associated with an increased risk of receiving intensive care and ventilation, but lower risk of mortality. Clinical indicators of a patient’s oxygen supply and selected laboratory results, such as blood lactate and creatinine levels, were most predictive of COVID-19 patient trajectories. Among COVID-19 patients machine learning can aid in the early identification of those with a poor prognosis, using EHR data collected during a patient’s first presentation at ED. Patient age and measures of oxygenation status during ED stay are primary indicators of poor patient outcomes.

#Artificial Intelligence
Field # Artificial Intelligence
Updated 18 February 2021

#22

 

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Description Scientists from TU/e OPAC group and Radboud University, together with scientists from the University of Austin and the University of California, Berkeley, have developed a new method to let artificial intelligence (AI) deal ...

#Artificial intelligence
Field # Artificial intelligence
Updated 18 February 2021

#23

 

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Description The search giant is creating a new team under Marian Croak, a vice president of engineering.

#Artificial intelligence
Field # Artificial intelligence
Updated 18 February 2021