Connect with us
https://ainews.site/wp-content/uploads/2021/11/zox-leader.png

Published

on

The Ultimate Managed Hosting Platform

The United Nations’ (UN) head of human rights has known as for all member states to place a moratorium on the sale and use of synthetic intelligence methods.

UN excessive commissioner for human rights Michelle Bachelet acknowledged that AI is usually a “power for good” however that it might even have “adverse, even catastrophic, results” if the dangers It poses usually are not addressed.

Bachelet’s feedback come alongside a new report from the Workplace of the Excessive Commissioner for Human Rights (OHCHR).

The report analyses how AI impacts individuals’s rights to privateness, well being, training, freedom of motion, amongst different issues.

“Synthetic intelligence now reaches into nearly each nook of our bodily and psychological lives and even emotional states. AI methods are used to find out who will get public companies, determine who has an opportunity to be recruited for a job, and naturally they have an effect on what info individuals see and might share on-line,” Bachelet stated.

Each the report and Bachelet’s feedback observe the July revelations surrounding Pegasus spy ware, which the UN rights chief described as a part of the “unprecedented stage of surveillance” being seen throughout the globe at the moment.

Bachelet insisted this case is “incompatible” with human rights.

Now, in an identical vein, the OHCHR has turned its consideration to AI.

In keeping with the report, states and organisations usually fail to hold out due diligence when dashing to construct AI functions, resulting in unjust remedy of people on account of AI decision-making.

What’s extra, knowledge used to tell and information AI methods might be defective or discriminatory, and when saved for lengthy durations of time might sometime be exploited via but unknown means.

“Given the fast and steady progress of AI, filling the immense accountability hole in how knowledge is collected, saved, shared and used is among the most pressing human rights questions we face,” Bachelet famous.

“The ability of AI to serve individuals is plain, however so is AI’s skill to feed human rights violations at an infinite scale with nearly no visibility. Motion is required now to place human rights guardrails on the usage of AI, for the nice of all of us,” she careworn.

Discover out extra about Digital Transformation Week North America, happening on 9-10 November 2021, a digital occasion and convention exploring superior DTX methods for a ‘digital the whole lot’ world.

Tags: , , , , ,

The Ultimate Managed Hosting Platform

Source link

Continue Reading
Click to comment

You must be logged in to post a comment Login

Leave a Reply

Research

Game-changer AI tool will save mothers and babies

Published

on

Game-changer AI tool will save mothers and babies

The Ultimate Managed Hosting Platform

A new prototype AI diagnostic test for pre-eclampsia developed by a multi-disciplinary Irish team will hopefully save thousands of lives around the world.

Preeclampsia affects 1 in 10 pregnancies and causes the deaths of at least 50,000 mothers and 500,000 babies worldwide every year. It is a serious pregnancy complication and diagnosis remains a significant challenge.

Using cloud-based technology, an Irish team has now developed a prototype AI-based machine learning tool that has shown great promise in identifying pre-eclampsia when it develops, and how severe it will become. Clinical teams will be able to use this tool – AI_PREMie – to hopefully make vital life-saving decisions for babies and mothers in real-time.

AI_PREMie is a high-quality rapid pre-eclampsia prototype test born of combined biomedical, clinical and machine learning know-how. It is utilising the SAS Viya analytics engine running on Microsoft Azure to help identify women with pre-eclampsia.

Trying to identify pre-eclampsia biomarkers in a mother’s blood is like looking for a needle in a haystack, says Prof Patricia Maguire, Professor of Biochemistry at University College Dublin. The AI_PREMie algorithm will hopefully enable the clinical team to identify women with pre-eclampsia and how severe it might become, quickly and easily.

Prof Maguire is leading on the AI_PREMie project with consultant haematologist Professor Fionnuala Ní Ainle and the manager of the University College Dublin AI for Healthcare Hub, Dr Paulina Szklanna. Their multidisciplinary team also involves data scientists from UCD as well as obstetricians and lab scientists from all Dublin maternity hospitals – National Maternity Hospital, the Rotunda Hospital and the Coombe Maternity Hospital.

Protecting and saving at-risk babies

The only ‘cure’ for pre-eclampsia is delivery of the baby, but that is often pre-term and premature babies can face many health challenges. At least 5 million babies worldwide are born prematurely every year due to pre-eclampsia and they account for a huge proportion of annual admissions to neonatal intensive care units.

AI_PREMie may also be useful towards predicting whether a woman will progress to severe pre-eclampsia, permitting a more accurate timing of delivery, and potentially allowing a baby to remain in utero for several more precious hours or days, impacting their survival chances and their long-term health.

The decision can be a difficult one, healthcare professionals must decide: whether to deliver a baby due to concern over the mother’s safety, or to keep baby in-utero for as long as possible

This is according to Assoc. Prof Jennifer Donnelly, of University College Dublin and Consultant Obstetrician, at the Rotunda Hospital, and a member of the AI_PREMie team.

A future easy-to-use real-time tool

AI_PREMie uses powerful machine-learning algorithms to combine unique biochemical signals with clinical information about patients, such as blood tests, demographics and medical opinion.

Not only will the test hopefully more accurately diagnose pre-eclampsia, but it may also predict the future severity of disease. That risk stratification means the medical team can time the baby’s delivery with more accuracy. The more time the team can give the baby in the womb, the better the baby’s chance of survival and optimal long-term neurodevelopment.

In the future, by performing their analysis using standard equipment in the hospital lab as well as in the cloud, the team believe that AI_PREMie will return an easily interpretable risk score within a few hours to aid clinical decision-making in real-time.

Set to revolutionise pregnancy care

The molecular biomarkers underlying AI_PREMie won the UCD NOVA Invention of the Year in 2021. The test is still in the research phase and is currently being piloted in three Dublin maternity hospitals, capturing 50% of all Irish births.

This tool will fill a long-standing gap in maternal healthcare, with the team behind it believing it will become part of pregnancy screening programmes globally within five years. The use of advanced cloud technology means that AI_PREMie will continually learn and evolve once it is implemented into widespread clinical practice.

This will reduce costs to the health service. In Ireland, for example, a pre-eclamptic pregnancy has typically cost the health service more than twice an uncomplicated pregnancy, with the national cost of pre-eclampsia estimated at €9.1m.

Survivors of preeclampsia have a lifelong increased risk of developing other chronic diseases, such as heart and vascular disease. In fact, preeclampsia is associated with a fourfold increased risk of developing kidney failure within 10 years after pregnancy. This risk is increased even further by having more than one preeclamptic pregnancy, a low-birthweight offspring, or a preterm delivery. Therefore, any improvement in clinical decision-making will have enormous preventative potential on the long-term health of the population and future healthcare resource requirements.

The impact of AI_PREMie will be a game-changer in tackling pre-eclampsia. As a clinician, I cannot wait to use it as part of our care.

So says Professor Mary Higgins, UCD School of Medicine, University College Dublin, who is a consultant obstetrician at the National Maternity Hospital, Dublin and Societal Champion on the AI_PREMie team.

Discover how to harness the power of machine learning with Microsoft Azure.

The Ultimate Managed Hosting Platform

Source link

Continue Reading

Research

4 Ways Penetration Testing Services Help Protect Your Business Data

Published

on

4 Ways Penetration Testing Services Help Protect Your Business Data

The Ultimate Managed Hosting Platform

Penetration testing is a security exercise where a white-hat hacker hacks into your computer system to check for any vulnerability that could compromise the confidentiality of your business data. The white-hat hacker will use internal and external attacks on your network devices, servers, intranets, web applications, and wireless networks. 

After hacking your system, the white-hat hacker will generate a report of their findings and recommend effective security controls. Here are four ways penetration testing can help protect your business data. 

A High-Level Management Report 

Penetration testing services reveal weaknesses in your laptop system, networks, and functions. After hacking your system, a white hat hacker will generate a high-level administration report detailing the vulnerabilities and problematic entry factors. The report may even include measures which you could take to maintain what you are promoting information safe and reduce safety dangers. 

The outcomes of a penetration check might differ in response to your white-hat hacker’s talent, energetic or inactive firewalls, the period of the check, and system adjustments throughout the check. To make sure that you get a complete report, work with a seasoned white-hat hacker who can carry out a number of assessments to seek out all of the weaknesses in your techniques. 

Penetration Testing Providers Present an In-Depth Technical Overview Doc 

Penetration testing providers present an in-depth technical evaluate doc that features a complete record of the findings, in addition to the technical particulars of vulnerabilities. By going by the technical evaluate doc, you may uncover points that pose essentially the most hazard to your techniques and community. Thereafter, you can begin implementing measures that work to guard what you are promoting information, together with {hardware} upgrades, software program upgrades, or configuration adjustments.

Actionable Insights Prioritized by Impression

Penetration testing providers generate actionable insights. For starters, penetration testing reveals weaknesses in your techniques and networks and consists of strategies for {hardware} and software program upgrades to guard what you are promoting information. 

Secondly, penetration testing reveals hackers’ strategies. One of many predominant objectives of white hat hackers is to launch actual assaults in your techniques and networks utilizing black-hat strategies. After discovering weaknesses, white-hat hackers exploit these weaknesses that will help you determine areas of your techniques and networks that have to be improved. 

Thirdly, penetration testing assessments what you are promoting’s response to actual cyber threats. When you know the way what you are promoting responds to cyber threats, you may put together instruments and techniques to stop and mitigate assaults and preserve what you are promoting information safe.   

Help To Repair What Wants To Be Mounted in a Well timed Method

Penetration testing providers enable you to determine and repair the system and community points in a well timed method. If, for instance, findings from the penetration check present that there are issues in your networks, you may repair these issues shortly by strengthening what you are promoting’s safety posture both by closing unused ports or eliminating all safety loopholes. This fashion, you remove the issues earlier than black hat hackers can exploit them.

Attempt Out Penetration Testing Providers

Penetration testing will help you assess what you are promoting’s well being. A penetration check will present you ways profitable or unsuccessful a cyber assault on what you are promoting might be and recommend methods by which you’ll be able to protect delicate enterprise information and develop efficient safety measures. Conduct a penetration check in the present day to make sure what you are promoting information is protected against intruders.








The Ultimate Managed Hosting Platform

Source link

Continue Reading

Research

Applying Visual AI to Legacy Security Systems

Published

on

Applying Visual AI to Legacy Security Systems

The Ultimate Managed Hosting Platform

Safety inspections are a part of trendy life. For instance, roughly 2.9 million passengers fly out and in of U.S. airports day by day based on the Federal Aviation Administration (FAA). More than 150 million Individuals attend skilled sporting occasions yearly. At occasions like these, efficient and environment friendly screening of attendees for weapons and contraband should happen to maintain people protected whereas offering a excessive degree of service.

Artificial intelligence (AI) can speed up inspections by automating some opinions and prioritizing others, and in contrast to people on the finish of an extended shift, an AI’s efficiency doesn’t degrade over time. This weblog put up will display how the DataRobot staff utilized DataRobot’s Visual AI and AutoML capabilities to quickly construct fashions able to detecting firearms in luggage utilizing open-source databases of X-ray safety scans.

Dataset and Modeling Course of

The coaching dataset used to coach the AI model accommodates roughly 5,000 X-ray safety photographs. Of the full dataset, roughly 30% of the photographs embrace a firearm. Of word, DataRobot can construct each multilabel and multiclass (e.g. figuring out a number of objects in an X-ray) predictions. For this instance, we solely use binary classification—does this bag comprise a firearm or not? 

Examples of X ray photographs with firearms

There’s variability within the photographs used to coach the fashions as a result of they have been taken utilizing three several types of safety X-ray machines. This variability takes the type of decision ranges and background noise within the photographs. Though this degrades remaining mannequin efficiency, DataRobot overcomes this impediment and nonetheless creates excessive performing fashions by mechanically making use of trade greatest practices by means of modeling blueprints

One other impediment to creating excessive performing pc imaginative and prescient fashions is that coaching datasets could not comprise enough photographs of the goal object with totally different backgrounds and from totally different instructions. This knowledge deficiency could cause the mannequin to fail to acknowledge the goal object (e.g., firearms) when scoring new photographs. DataRobot’s Visible AI supplies a simple approach to overcome this object with automated image augmentation. Picture augmentation flips, rotates, and scales photographs to extend the variety of observations for every object within the coaching dataset and will increase the likelihood that the mannequin accurately identifies objects when scoring new data.

Image Augmentation Examples
Picture Augmentation Examples

Auto-generated activation maps enhance explainability by illustrating which areas of a picture are most essential for a mannequin’s predictions (much like feature impact on different fashions). DataRobot’s AutoML mechanically builds and compares a whole bunch of mannequin blueprints to seek out the most effective performing mannequin for figuring out firearms. On this instance, the successful blueprint was a neural community classifier that was constructed and not using a requirement for costly processors like GPUs.

After just a few hours, DataRobot skilled and validated a mannequin that’s about 90% correct at figuring out photographs containing firearms. With extra tuning, this mannequin efficiency can nonetheless be considerably elevated. For instance, a company searching for to attenuate false negatives (e.g., failing to determine firearms in X-rays) can change prediction thresholds to optimize for this criterion. 

Training and validating a model that is about 90 accurate
Coaching and validating a mannequin that’s about 90 correct

Conclusion

DataRobot’s mixture of capabilities permit customers to construct and deploy a high-performing visible AI objection detection mannequin in just a few hours with no coding. This mannequin might be rapidly improved with extra superior tuning and deployed to cloud-connected or edge environments. Making use of DataRobot to this drawback doesn’t require new safety scan machines and exhibits how organizations can apply superior Visible AI capabilities to present infrastructure for speedy safety enhancements. Contact a member of the DataRobot staff to study extra and see how your group can develop into AI-driven.

AI CLOUD FOR PUBLIC SECTOR

See How DataRobot Delivers on the Promise of AI in Authorities


Learn more

The Ultimate Managed Hosting Platform

Source link

Continue Reading

Trending