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UK Healthcare Scaleup Navenio Secures Government Funding for its Hospital Workforce AI Platform

Oxford Comp Sci

Navenio, the UK company that has pioneered indoor location-based artificial intelligence to revolutionise workflows and can double the throughput of hospital teams, has been successful in securing funding in the latest round of the Artificial Intelligence in Health and Care Award. Navenio was one of 38 organisations to receive the funding in the second round of the competition, with the AI Award making £140 million available to multiple applicants over four years to accelerate the testing and evaluation of artificial intelligence technologies which meet the aims set out in the NHS Long Term Plan. Through world-leading University of Oxford research, Navenio creates unique indoor location-based services, solving the problem that GPS doesn't work indoors without requiring any new infrastructure. The Award's aim is to increase the impact of AI-driven technologies to help solve clinical and operational challenges across the NHS and care settings. It aligns perfectly with Navenio's mission to help transform hospitals through ensuring the right person is in the right place, at the right time.


Amazon applies artificial intelligence to worker safety

#artificialintelligence

Amazon is testing a variety of robotic and smart technology solutions designed to create a safer workplace. At its Amazon Robotics and Advanced Technology labs located near Seattle, in Boston, and in Northern Italy, the e-tail giant is working on new technologies to help move totes, carts, and packages through its facilities. In the Seattle-area research and innovation lab, one project in early development involves the use of motion-capture technology to assess the movement of volunteer employees in a lab setting. These employees perform tasks that are common in many Amazon facilities, such as the movement of totes, which carry products through robotic fulfillment centers. Motion-capture software enables Amazon scientists and researchers to more accurately compare data captured in a lab environment to industry standards, rather than other traditional ergonomic modeling tools.


AI, the future of work and how to improve the safety and security of the workforce

#artificialintelligence

In less than two years, the workplace has evolved quickly. Our personal space inside our homes has transformed into a makeshift office, while corporate buildings are vacant and underutilised. As vaccines continue to roll out, a hybrid work model has emerged, with staff now alternating and'taking turns' being back in the office. In the US, research done by SHRM.org highlights that 55% of the workforce favours a hybrid workforce post-pandemic. In the UK, a survey by PWC found 77% of UK employees want a mix of face-to-face and remote working.


Who's in the driver's seat? Liability in automated vehicles

#artificialintelligence

Getting your driving licence is a milestone moment for many people. You go through rigorous theory and practical tests, sometimes more than once, before you are given the privilege of being on the road. This, of course, is to ensure the safety of the driver, any passengers and other road users, writes Raina Victor of Birketts LLP. You are also aware of the consequences of driving going wrong, including that the liability for any accident falls (for the most part) on the driver. But what about car accidents that are not caused by the driver of the vehicle but the vehicle itself?


Patients to get easier access to medical data through NHS App

#artificialintelligence

Patients are set to get easier access to their medication lists and care plans through the NHS App under the government's new data strategy. New requirements for data sharing across the entire health and care system are also set to come into place, with new legislation to be introduced to require all adult social care providers to provide information about the services they fund. Published today (June 22), the NHSX draft strategy'Data Saves Lives: Reshaping health and social care with data', aims to capitalise on the work undertaken using data during the pandemic to improve health and care services. In a bid to establish openness, the government committed to publishing the first transparency statement setting out how health and care data has been used across the sector by 2022. Under the proposals, patients are set to gain more control over their health data, while data will also be used to improve care and treatment.


Microscopy deep learning predicts viral infections

#artificialintelligence

When viruses infect a cell, changes in the cell nucleus occur, and these can be observed through fluorescence microscopy. Using fluoresence images made in live cells, researchers at the University of Zurich have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses. The procedure also identifies severe acute infections at an early stage. In most cases, this does not lead to the production of new virus particles, as the viruses are suppressed by the immune system. However, adenoviruses and herpes viruses can cause persistent infections that the immune system is unable to keep completely in check and that produce viral particles for years. These same viruses can also cause sudden, violent infections where affected cells release large amounts of viruses, such that the infection spreads rapidly.


Europe's privacy regulators call for a ban on facial recognition in publicly accessible spaces

#artificialintelligence

That message: Under EU law, A.I. threatens EU citizens' fundamental rights … They also recommended banning A.I. systems that use biometrics to …


Spatial Concepts in the Conversation With a Computer

Communications of the ACM

Human interactions with the physical environment are often mediated through information services, and sometimes depend on them. These human interactions with their environment relate to a range of scales,28 in the scenario here from the "west of the city" to the "back of the store," or beyond the scenario to "the cat is under the sofa." These interactions go far beyond references to places that are recorded in geographic gazetteers,37 both in scale (the place where the cat is) and conceptualization (the place that forms the west of the city29), or that fit to the classical coordinate-based representations of digital maps. And yet, these kinds of services have to use such digital representations of environments, such as digital maps, building information models, knowledge bases, or just text/documents. Also, their abilities to interact are limited to either fusing with the environment,44 or using media such as maps, photos, augmented reality, or voice. These interactions also happen in a vast range of real-world contexts, or in situ, in which conversation partners typically adapt their conversational strategies to their interlocutor, based on mutual information, activities, and the shared situation.2 Verbal information sharing and conversations about places may also be more suitable when visual communication through maps or imagery is inaccessible, distracting, or irrelevant, such as when navigating in a familiar shopping mall.


Flexible Work and Personal Digital Infrastructures

Communications of the ACM

Flexible, contingent, or'agile,' working arrangements provide workers with greater autonomy over when, where, or how to fulfill their responsibilities. In search of increased productivity and reduced absenteeism, organizations have increasingly turned to flexible work arrangements. Although access to flexible work arrangements is more prevalent among high-skilled workers, in the form of flextime or co-working, the past decade has also witnessed growth of independent contractors, digital nomadism, digitally enabled crowdwork, online freelancing, and on-demand platform labor.3 Flexible work arrangements reduce commutes and can enable workers with care-responsibilities to stay in the workforce. Younger workers also see flexibility as a top priority when considering career opportunities.2 Flexible working arrangements can also be mutually beneficial, enabling organizations to scale dynamically. Specific skill sets can be immediately accessed by turning to freelancers to fill organizational gaps. A growing number of organizations and workers rely on short-term and project-based relationships, using online platforms such as Upwork or Fiverr to connect. However, flexible work arrangements often come entwined with precarity cloaked in emancipatory narratives.5 Fixed salaries and benefits have given way to hourly rates and quantified ratings.


The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)

Communications of the ACM

The traditional approach to statistical disclosure control (SDC) for privacy protection is utility-first. Since the 1970s, national statistical institutes have been using anonymization methods with heuristic parameter choice and suitable utility preservation properties to protect data before release. Their goal is to publish analytically useful data that cannot be linked to specific respondents or leak confidential information on them. In the late 1990s, the computer science community took another angle and proposed privacy-first data protection. In this approach a privacy model specifying an ex ante privacy condition is enforced using one or several SDC methods, such as noise addition, generalization, or microaggregation.