Category Archives: Artificial Intelligence
The United Nations needs to start regulating the ‘Wild West’ of artificial intelligence – The Conversation CA
The European Commission recently published a proposal for a regulation on artificial intelligence (AI). This is the first document of its kind to attempt to tame the multi-tentacled beast that is artificial intelligence.
The sun is starting to set on the Wild West days of artificial intelligence, writes Jeremy Kahn. He may have a point.
When this regulation comes into effect, it will change the way that we conduct AI research and development. In the last few years of AI, there were few rules or regulations: if you could think it, you could build it. That is no longer the case, at least in the European Union.
There is, however, a notable exception in the regulation, which is that is does not apply to international organizations like the United Nations.
Naturally, the European Union does not have jurisdiction over the United Nations, which is governed by international law. The exclusion therefore does not come as a surprise, but does point to a gap in AI regulation. The United Nations therefore needs its own regulation for artificial intelligence, and urgently so.
Artificial intelligence technologies have been used increasingly by the United Nations. Several research and development labs, including the Global Pulse Lab, the Jetson initiative by the UN High Commissioner for Refugees , UNICEFs Innovation Labs and the Centre for Humanitarian Data have focused their work on developing artificial intelligence solutions that would support the UNs mission, notably in terms of anticipating and responding to humanitarian crises.
United Nations agencies have also used biometric identification to manage humanitarian logistics and refugee claims. The UNHCR developed a biometrics database which contained the information of 7.1 million refugees. The World Food Program has also used biometric identification in aid distribution to refugees, coming under some criticism in 2019 for its use of this technology in Yemen.
In parallel, the United Nations has partnered with private companies that provide analytical services. A notable example is the World Food Programme, which in 2019 signed a contract worth US$45 million with Palantir, an American firm specializing in data collection and artificial intelligence modelling.
In 2014, the United States Bureau of Immigration and Customs Enforcement (ICE) awarded a US$20 billion-dollar contract to Palantir to track undocumented immigrants in the U.S., especially family members of children who had crossed the border alone. Several human rights watchdogs, including Amnesty International, have raised concerns about Palantir for human rights violations.
Like most AI initiatives developed in recent years, this work has happened largely without regulatory oversight. There have been many attempts to set up ethical modes of operation, such as the Office for the Co-ordination of Humanitarian Affairs Peer Review Framework, which sets out a method for overseeing the technical development and implementation of AI models.
In the absence of regulation, however, tools such as these, without legal backing, are merely best practices with no means of enforcement.
In the European Commissions AI regulation proposal, developers of high-risk systems must go through an authorization process before going to market, just like a new drug or car. They are required to put together a detailed package before the AI is available for use, involving a description of the models and data used, along with an explanation of how accuracy, privacy and discriminatory impacts will be addressed.
The AI applications in question include biometric identification, categorization and evaluation of the eligibility of people for public assistance benefits and services. They may also be used to dispatch of emergency first response services all of these are current uses of AI by the United Nations.
Conversely, the lack of regulation at the United Nations can be considered a challenge for agencies seeking to adopt more effective and novel technologies. As such, many systems seem to have been developed and later abandoned without being integrated into actual decision-making systems.
An example of this is the Jetson tool, which was developed by UNHCR to predict the arrival of internally displaced persons to refugee camps in Somalia. The tool does not appear to have been updated since 2019, and seems unlikely to transition into the humanitarian organizations operations. Unless, that is, it can be properly certified by a new regulatory system.
Trust in AI is difficult to obtain, particularly in United Nations work, which is highly political and affects very vulnerable populations. The onus has largely been on data scientists to develop the credibility of their tools.
A regulatory framework like the one proposed by the European Commission would take the pressure off data scientists in the humanitarian sector to individually justify their activities. Instead, agencies or research labs who wanted to develop an AI solution would work within a regulated system with built-in accountability. This would produce more effective, safer and more just applications and uses of AI technology.
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The United Nations needs to start regulating the 'Wild West' of artificial intelligence - The Conversation CA
How Artificial Intelligence Is Cutting Wait Time at Red Lights – Motor Trend
Who hasn't been stuck seething at an interminable red light with zero cross traffic? When this happened one time too many to Uriel Katz, he co-founded Israel-based, Palo Alto, California-headquartered tech startup NoTraffic in 2017. The company claims its cloud- and artificial-intelligence-based traffic control system can halve rush-hour times in dense urban areas, reduce annual CO2 emissions by a half-billion tons in places like Phoenix/Maricopa County, and slash transportation budgets by 70 percent. That sounded mighty free-lunchy, so I got NoTraffic's VP of strategic partnerships, Tom Cooper, on the phone.
Here's how it works: Sensors perceive, identify, and analyze all traffic approaching each intersection, sharing data to the cloud. Here light timing and traffic flow is adjusted continuously, prioritizing commuting patterns, emergency and evacuation traffic, a temporary parade of bicycleswhatever. Judicious allocation of "green time" means no green or walk-signal time gets wasted.
I assumed such features had long since evolved from the tape-drive traffic control system Michael Cain's team sabotaged in Rome to pull off The Italian Job in 1969. Turns out that while most such systems' electronics have evolved, their central intelligence and situational adaptability have not.
Intersections that employ traffic-sensing pavement loops, video cameras, or devices that enable emergency vehicle prioritization still typically rely on hourly traffic-flow predictions for timing. When legacy system suppliers like Siemens offer similar technology with centralized control, it typically requires costly installation of fiber-optic or other wired-network connections, as the latency inherent in cellular communications can't meet stringent standards set by Advance Transportation Controller (ATC), National Electrical Manufacturers Association (NEMA), CalTrans, and others for safety and conflict resolution.
By contrast, NoTraffic localizes all the safety-critical decision-making at the intersection, with a camera/radar sensor that can identify vehicles, pedestrians, and bikers observing each approach. These sensors are wired to a box inside the existing control cabinet that can also accept input signals from pressure loops or other existing infrastructure. The controller only requires AC power. It connects to the cloud via 4G/5G/LTE, but this connection merely allows for sharing of data that constantly tailors the signal timing of nearby intersections. This is not nano-second, fiber-optic-speed critical info. NoTraffic promises to instantly leapfrog legacy intersections to state-of-the-art intelligence, safety sensing, and connectivity.
Installation cost per intersection roughly equals the cost budgeted for maintaining and repairing today's inductive loops and camera intersections every five years, but the NoTraffic gear allegedly lasts longer and is upgradable over the air. This accounts for that 70 percent cost savings.
NoTraffic's congestion-reduction claims don't require vehicle-to-infrastructure communications or Waze/Google/Apple Maps integration, but adding such features via over-the-air upgrades promises to further improve future traffic flow.
Hardening the system against Italian Job-like traffic system hacks is essential, so each control box is electrically isolated and firewalled. All input signals from the local sensors are fully encrypted. Ditto all cloud communications.
NoTraffic gear is up and running in California, Arizona, and on the East Coast, and the company plans to be in 41 markets by the end of 2021. Maricopa County has the greatest number of NoTraffic intersections, and projections indicate equipping all 4,000 signals in the area would save 7.8 centuries of wasted commuting time per year, valued at $1.2 billion in economic impact. Reducing that much idling time would save 531,929 tons of CO2 emissionsakin to taking 115,647 combustion-engine vehicles off the road. The company targets jurisdictions covering 80 percent of the nation's 320,000 traffic signals, noting that converting the entire U.S. traffic system could reduce CO2 by as much as removing 20 million combustion vehicles each year.
I fret that despite its obvious advantages, greedy municipalities might push to leverage NoTraffic cameras for red light enforcement, but Cooper noted the company's clients are traffic operations departments, which are not tasked with revenue generation. NoTraffic is neither conceived nor enabled to be an enforcement tool. Let's hope the system proves equally hackproof to government "revenuers" and gold thieves alike.
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How Artificial Intelligence Is Cutting Wait Time at Red Lights - Motor Trend
How Artificial Intelligence has played a major role in fighting Covid – The National
From the personal to the professional and the micro to the macro-economic, the pandemic has highlighted just how crucial the state of global health and the policies that underpin it are to our collective survival and prosperity. Perhaps lesser appreciated, but certainly no less significant, is just how big a part Artificial Intelligence has to play, says a leading expert in the field.
Weve had an unprecedented amount of sharing of data globally, of live daily updates on data across the board, whether it has to do with death rates or infection rates. In the UK, we had our live tracker, we have track-and-trace that also collected data. All of this is underpinning the work that was being done to fight Covid. It is also what is ultimately the foundation for artificial intelligence, says Aldo Faisal, Professor of AI and Neuroscience at the Departments of Computing and Bioengineering at Imperial College London.
Prof Faisal leads the Brain and Behaviour Lab, which uses and develops statistical AI techniques to analyse data and predict behaviour, as well as producing medical-related robotics. Last year he was awarded a five-year UK Research and Innovation Turing AI Fellowship to develop an "AI Clinician" that will help doctors make complex decisions and relieve pressure on the NHS.
Having spent years harnessing the power of AI to develop better health care, Covid-19 was certainly no exception and Prof Faisal redirected a large portion of his labs resources to the national effort at the outset of the pandemic.
Just last month he and a team of researchers revealed their work in using machine learning to predict which Covid-19 patients in intensive care units might get worse and not respond positively to being turned on to their stomachs a technique that is commonly used to improve oxygenation of the lungs.
This only happened because we look at the trajectories of patients on a daily basis, says Prof Faisal, who first studied in Germany, where he received a number of awards and distinctions, before continuing his education as a Junior Fellow at the University of Cambridge.
In collaboration with a digital healthcare company his lab ran a survey of Covid-19 symptoms worldwide with one million respondents which, though not yet peer-reviewed, has shown that standard Covid-19 symptoms, such as loss of taste and smell, are not consistent across countries.
Suddenly symptoms in Africa or India present themselves very differently from symptoms in Europe. Why is that important? Because we're always talking about asymptomatic transmission, and the challenges [involved], the German-born professor tells The National.
From lung scan imaging for preliminary detection to the rapid review of research and, of course, the worldwide dissemination of mortality figures, algorithms have been deployed far and wide to help better understand and combat the virus.
I've seen things advance in weeks, that would have taken probably a decade to happen. And the question is, how much of that legacy experience from a citizen's viewpoint is going to transform in the long term? What is acceptable? asks Prof Faisal, who is also the Founding Director of the 20 million ($28.3m) UKRI Centre for Doctoral Training in AI for Healthcare.
Privacy, data and bias remain the omnipresent issues trailing behind the proliferation of AI across sectors, but a public health emergency like Covid-19 tends for better or worse to quieten such resistance.
There is a massive shortage of doctors worldwide. What AI can do is address some of the unmet personnel needs
Nevertheless, ardent proponents of AI welcome the legislative safeguards and frameworks they say would help foster greater trust among the public, as well as increased collaboration among institutions.
Addressing an online forum of AI Healthcare experts earlier this year, the Conservative MP and former Minister of State, George Freeman, said governments had a difficult but important role to play in instilling excitement instead of fear into the public. The big challenge in this space is to create a trust framework where people out on the streets can have confidence that this big system for using massive computer power to find value in the healthcare system is working for them, not on them, said the founder of Reform for Resilience, an international initiative aimed at promoting strategic reform of health care.
Mr Freeman said the steady rise in the wellness and wearable technology in healthcare industries suggests people are increasingly willing to take responsibility for their health but needed better architecture to do so.
We need to set some global international protocols and standards for what is and is not legitimate good practice use of AI, he said at the online forum.
I think we need to frame AI within a UK system approach in which the public would have real trust that we're going to embed that properly in a system that will make the sacrifices of this last year mean that the next generation don't have to experience it.
Regardless of where the legislation is going, the increased integration of health care with personal digital technologies is unlikely to turn back. Utilising AI does not, however, mean dispensing with doctors and medical professionals, says Amr Nimer, a neurosurgeon at Imperial College NHS Trust and a colleague of Prof Faisal.
There is a massive shortage of doctors worldwide. What AI can do is address some of the unmet personnel needs. The idea behind the deployment of AI agents is not to replace doctors or healthcare professionals, but to help automate some of the tasks that can be done much more efficiently by machines, so that we as healthcare professionals can concentrate on actual patient care. AI will augment, rather than replace, healthcare professionals, Mr Nimer told The National.
Over the past year the Dubai-born neurosurgeon has been working with Prof Faisal in the Brain Behaviour Lab on a project to train surgeons using AI.
It's based on the principles of economy of movement and surgical efficacy. We use state-of-the art motion sensors to collect movement data from expert surgeons, and then utilise AI algorithms to answer the questions: what defines manual surgical expertise, or what makes an expert, an expert? What does behavioural data show us about the manual skills of surgical experts [versus] novices? Once we have an entirely data-driven objective definition of expertise in a particular procedure, we can use AI algorithms to help junior surgeons perform that procedure much more efficiently on models, rather than practising on patients first, Mr Nimer said.
Showing the wide applicability of AI, this research project shares similar research principles with that undertaken by Prof Faisals team last year with Formula E World Champion, Lucas di Grassi. Wearing a wireless electroencephalogram helmet to track his brain activity, the racing drivers eye and body movements were monitored under real-time extreme conditions. The first-time experiment aimed to better understand how an expert driver performs, so that more targeted and useful information can be given to self-driving cars.
After more than a year responding to the severities of Covid-19, the healthcare system is overwhelmingly strained. The long-term direct and indirect health effects of the virus are still revealing themselves, but initial assessments suggest a long road of continued care ahead and waiting times to treat other illnesses are now several years long. Healthcare facilities will need a huge injection of both human and financial capital, as well as the latest technology has to offer in order to cope.
The crisis precipitated a hastening of AIs foray into the medical sphere with an unprecedented sharing of data and collaboration across institutions. With medics facing ominous healthcare challenges for years to come, former sceptics may now be more willing to embrace tech that can lessen the burden. It remains to be seen, however, whether the government can provide the necessary regulatory framework to protect the interests of both the patient and the professional.
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How Artificial Intelligence has played a major role in fighting Covid - The National
Hesse launched the first nationwide artificial intelligence pilot project – TheMayor.EU
First nationwide pilot project for artificial intelligence in Hesse
The German state will participate in a testing hub for AI
Hesse authorities signed a joint declaration on the establishment of an AI Quality & Testing Hub with the President of the VDE (Association of Electrical, Electronic and Information Technologies). Last week the German state and the association outlined the goal of the initiative to put AI systems to the test.
Research and development, standardisation and certification are combined under one roof in the hub. In this way, the hub makes an important contribution to developing and applying AI responsibly.
AI is developing into the key technology of the 21st century, as it can offer solutions to many societal challenges. The Hessian state government wants to promote the quality of AI together with the VDE and make it verifiable. We are convinced, that the high quality of AI systems is the basis for trust and use in this technology,emphasised Hesse's digital minister Prof. Dr. Kristina Sinemus.
In the AI Quality & Testing Hub, data aspects should also play a role . In addition to certification, opportunities for dialogue, discourse, experimentation and knowledge are also expected to be created.
The initiative is to be supported by the State-funded Centre for Responsible Digitisation and the Hessian Centre for Artificial Intelligence (hessian.AI). In the dialogue process that is now starting, the concept of the hub is to be refined in order to enter a foundation phase of the hub by mid-2022.
With the update of the digital strategy, the Hesse government is relying in particular on the strong brand "KI made in Hessen", which stands for responsible innovations and AI applications in the digital sector.
"The pandemic once again clearly demonstrated the necessary innovation boost through digitization, but also made clear the need for action. With the new project, we are actively participating in the design of a European legal framework for AI and thus making a practical contribution to making AI trustworthy so that AI is developed and used for the benefit of people," concluded Sinemus.
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Hesse launched the first nationwide artificial intelligence pilot project - TheMayor.EU
How Artificial Intelligence Can Bridge the Communication Gap in Recruitment – BBN Times
The use of AI in recruitment will help bridge the communication gap between recruiters and candidates and provide a more enhanced experience to both, eventually leading to improved hiring.
According to a study, about83% of candidates reported that they would never apply to a job at the same company after having a bad interview experience. One of the major reasons for having a poor experience while applying for work is the delay in communication or other issues related to communication. Aboutthree out of five candidate complaints in the recruitment process are related to communication. And its no secret that most candidate calls and emails go unanswered or get a late response from recruiters. Then theres the standard well get back to you response that all job seekers so hate. This results in missing out on potential candidates. This communication gap can be bridged easily with the use of AI in recruitment processes.
AI tools can be used to respond to candidates queries automatically without any human intervention. The responses provided by these tools are instant and help keep candidates updated with the latest information. The use ofAI in recruitmentprocesses for streamlining communication can be differentiated into two major types.
Automated chatbots can be used to answer common candidate questions, such as job application status. The chatbots can fetch information about the candidate from the candidate relationship management (CRM) tool and respond to the candidate queries. This helps reduce the workload of recruiters and also helps candidates stay updated with the latest information. The chatbots can be implemented on the recruiters website, where candidates can easily log in and check various information related to their job application.
Automated notification and replying systems can be used to send automated emails and text messages to candidates as soon as the job application status is changed by the HR in the CRM tool. This can be used to inform not only the selected candidates but also the rejected ones. Thus, a lot of recruiters time that is currently utilized in drafting and sending emails can be utilized for other important tasks. Similarly, an automated email responder can be used for answering candidate emails, as it is the most widely used form of communication with candidates. The systems with AI capabilities can intelligently analyze and understand an emails context and send a reply accordingly without any human assistance.
With so many advanced technological tools at our disposal that have made communication easier, isnt it ironic that the recruitment process still faces a huge communication gap? However, that is all set to change with the use of AI in recruitment processes. If youre a candidate, be ready to get real-time information update and answers to queries, which is highly overdue. And if youre an employer, get ready to hire better candidates, with greater speed and more convenience!
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How Artificial Intelligence Can Bridge the Communication Gap in Recruitment - BBN Times
Thales, Atos take on big data and artificial intelligence in new joint venture – DefenseNews.com
STUTTGART, Germany Two major French technology companies are joining forces in an effort to become the European nations premier institution for artificial intelligence and big-data efforts.
Thales and Atos announced Thursday the creation of a joint venture called Athea, along with plans to develop a flagship, sovereign, big-data and AI platform that could serve customers in the public and private sector.
This new partnership comes as nations across Europe, and beyond, are targeting AI and big data as key enabling technologies for future military capabilities.
With the exponential rise in the number of sources of information, and increased pressure to respond more quickly to potential issues, state agencies need to manage ever-greater volumes of heterogeneous data and accelerate the development of new AI applications where security and sovereignty are key, the companies said in a news release.
The two teams began discussing the potential of a joint venture several months ago, per a Thales spokesperson.
Together, we will capitalise on our respective areas of expertise to provide best-in-class big data and artificial intelligence solutions, Marc Darmon, executive vice president for secure communications and information systems at Thales, said in a statement.
Athea will draw on each companys work on Project Artemis meant to provide the French military with a big-data processing capability to build a system that securely handles sensitive data on a nationwide scale and that will also support the solutions implementation within government programs, per the joint news release.
Both Atos and Thales have worked on the demonstration phase for Artemis, awarded in 2017, and both were chosen in April to prepare the full-scale rollout of the program by the French military procurement agency DGA.
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Athea will generate huge potential for innovation, and stimulate the industrial and defence ecosystem, including innovative start-ups, to meet the needs of government agencies and other stakeholders in the sector, said Pierre Barnab, senior executive vice president for big data and cybersecurity at Atos.
Athea will initially focus on the French market before addressing European requirements at a later date, the companies said. This indicates that the joint venture will not affect ongoing multinational projects, such as Thales work on the Franco-German-Spanish Future Combat Air System or NATOs deployable combat cloud program.
For the air system, Thales is an industry partner for two of the programs seven technology pillars: the air combat cloud for which the industry lead is Airbus and the advanced sensors pillar, led by Indra. The company was also selected by the NATO Communications and Information Agency to develop and build the alliances first theater-level, deployable defense cloud capability, dubbed Firefly, within the next two years.
A Thales spokesperson said Athea might very well work with NATO in the future as the alliance pursues new emerging and disruptive technologies, including AI and big data.
NATO has identified those two capabilities as the first tech areas to target under its recently established emerging and disruptive technology strategy. It plans to release a strategy dedicated solely to artificial intelligence this summer, aligned with the NATO Summit scheduled for June 14 in Brussels.
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Thales, Atos take on big data and artificial intelligence in new joint venture - DefenseNews.com
Geico to Use Artificial Intelligence to Speed Up Car Repairs – The Wall Street Journal
Geico, the nations second-biggest auto insurer, will try to speed up vehicle repairs for its policyholders by running photographs of damaged vehicles through artificial-intelligence software.
Berkshire Hathaway Inc. -owned Geico will offer the quick-estimate process in partnership with Tractable Ltd., said Alex Dalyac, chief executive and founder of the London-based technology firm. Tractable is among a number of specialists trying to help car insurers use artificial intelligence and other techniques to eliminate time-consuming hassles when customers file accident claims.
Financial terms of the partnership werent disclosed.
Todd Combs, Geicos chief executive, said in a written statement that Tractables technology is a way to obtain accurate estimates for policyholders and get drivers back on the road faster.
Geico is second in the private-passenger auto-insurance market, with a 13.6% share, according to the Insurance Information Institute. Geicos size as a part of Warren Buffetts Berkshire conglomerate means its moves are often followed by other car insurers, so its use of artificial intelligence in handling claims could become standard industry practice.
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Geico to Use Artificial Intelligence to Speed Up Car Repairs - The Wall Street Journal
Artificial Intelligence on the Edge – IoT For All
When we allow ourselves to be drawn into the world of science fiction, the concept of Artificial Intelligence and Machine Learning (AI/ML) conjures up visions of Neo, Trinity, and Morpheus battling the machine in the Matrix films.
However, in real life, AI/ML helps developers create better and lower-cost IoT end nodes that will benefit an ecosystem where their products exist. The benefits of AI/ML are far deeper than simply that of better decision-making in the end node; some optimizations come about bringing valuable benefits to all involved, including the consumer, the developer, and the operator.
AI/ML isnt a new concept, but its use has traditionally been made available through power-hungry, more expensive platforms that many users share at once. Centralized data centers offered the tech sector a limited exposure to the rising CapEx and OpEx cost, as it started to build and use an ever-increasing reliance on storage and compute capability for its data. This is because the data center phenomenon allowed the tech sector to share servers, utilities, cooling, real estate, and security. Furthermore, it provided an ability to scale up and down resources as required, such as the amount of compute and storage needed. Due to the shared nature of cost, new technologies such as AI/ML could be made available faster.
The interconnection of globally distributed data centers also offered the tech sector the ability to use regional facilities. An IoT company based in the US could offer services to consumers in Europe without incurring a transatlantic delay. Data is transmitted and routed between the continents or falling foul to the nuances of regional privacy and data protection laws. Such requirements are important if you consider that a lighting switch with a two-second delay before lights are illuminated would not have aligned with consumer expectations and would therefore struggle to become a commercial success.
Datacenters and the cloud have made it possible for new domestic and international business opportunities. Developers have established new mechanisms to save the consumer and the business entity money.
An operator no longer needs to roll a maintenance truck to business because the ice machine in the hotel may need attention; the operator need only send a maintenance truck because they know it needs attention, therefore saving the company tens of thousands of dollars in operational expenses.
Using AI/ML to see these tiny signatures in a device before the failure happens can be complex because the associated signatures can be tiny and therefore subtle. These changes could be vibrational in the pumps motor or slight temperature changes in a heat exchanger or condenser: something an individual might not recognize or even see. The example of connected ice makers may not appear to drive the volumes that many developers would interpret as a concern but consider those same concerns or business models applied to a warehouse or hotel lighting. Thousands of lightbulbs may exist in a warehouse, each positioned over shelving or machinery that would need to be moved to replace a bulb, which in turn means stopping a production line at possibly the most critical moment.
Predictive maintenance and cloud analytics are becoming big businesses, and AI/ML offers an easy way to perform an automated evaluation of the data it generates. Still, these new business models do lead to the creation of an enormous volume of data. This, in turn, has created new and interesting technical challenges that developers and operators now need to deal with.
Those problems appear to be scaling problems on the surface add more servers, add more storage, and other data center-based consumables, but fixing these issues doesnt fix the increasing number of problems forming at the other end of the data pipe.
In most applications, the data is generated by some form of sensor, which requires power and bandwidth. The bandwidth is also consumed in terms of the facilities internet uplink and RF spectrum. Sending massive volumes of data that may represent no change is expensive; radios consume a lot of power, and in busy RF spectrums, they consume even more through transmission re-tries. More sensors lead to even busier RF environments and the need for more battery maintenance. In addition to the issues surrounding battery life and local bandwidth, some applications may be more susceptible to security concerns that come about. Massive quantities of data can form patterns that those with malicious intent could take advantage of if intercepted.
There is a growing trend to thwart these issues to return a lot of that decision-making to the end node, reducing the radioactivity to only data determined as more important. This reduces the power consumption, bandwidth, and digital signature. The caveat of returning that decision-making to the end node may mean an increase in end-node processing, storage, and, once again, power consumption. It seems that the IoT is caught in a vicious circle limiting its accessibility and market growth.
Innovations in artificial intelligence have enabled the use of smaller microcontrollers, such as an ARM Cortex-M, and call on smaller memory resources for both flash and RAM. The code size used to implement AI in a system can also be much smaller than that of traditional coding when implementing complex algorithms that address any real-life corner cases. This also makes firmware updates smaller, faster to develop, and easier to distribute across large sensor fleets.
Many developers take advantage of AI in end-node sensor products to enhance their designs and better the experience for both consumers and operators alike. Examples of AI technology can be quickly prototyped using development kits.
Kits can be used to demonstrate a pump monitoring system. The ability to shrink wireless sensors, prolong their life and adopt better security, all without destroying the local RF spectrum with noise, means more useful sensors can be deployed to enhance productivity and comfort in the field. Everyday products such as wall switches, environmental sensors, and even curbside trash sensors can be included in automation and monitoring ecosystems at an attractive cost and performance point.
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Artificial Intelligence on the Edge - IoT For All
UAEs lunar rover will use artificial intelligence to explore the Moon – The National
An advanced artificial intelligence flight computer will help the UAEs lunar rover explore the surface of the Moon.
The navigation computer is being developed by Canadian space firm Mission Control Space Services.
It will recognise geological features as the Emirati rover, Rashid, drives around the unstable terrain of the lunar surface.
The computer will be installed on a Japanese lander that will take Rashid to the Moon next year, from where it will receive data from the rover. It will also send information back to Earth to be studied by scientists at the Mohammed bin Rashid Space Centre.
With the support of the Canadian Space Agency, Canadian scientists and engineers will be able to participate in near-term missions to the lunar surface, said Ewan Reid, president and chief executive of Mission Control.
Hind Bin Jarsh AlFalasi, 24, is the Emirati woman who has designed the logo for UAE's lunar mission. Reem Mohammed/The National
The Emirates Lunar Mission logo as revealed by Sheikh Hamdan bin Mohammed, Crown Prince of Dubai. It features the signature of Sheikh Rashid, the late ruler of Dubai. Courtesy: Sheikh Hamdan bin Mohammed Twitter
The logo will be featured on the Rashid Rover, which is slated for launch in 2022. Courtesy: MBRSC
Ms AlFalasi wanted to personalise the logo and show the mission's importance, so she added Sheikh Rashid's signature and inscribed it on top of the Moon. Reem Mohammed/The National
Only three countries have been able to land missions on the Moon so far. Courtesy: MBRSC
China is attempting another lunar mission. Its Chang'e 5 spacecraft has entered lunar orbit and aims to bring back rock and soil samples. UAE's lunar mission also aims to study lunar soil, as well as dust. Here, a Long March-5 rocket carrying the Chinese spacecraft lifts off on November 24. AP Photo/Mark Schiefelbein
Ms Al Falasi's career as a graphic designer has taken off. She will also be helping design the logo for the MBZ-Sat satellite, UAE's first fully in-house built spacecraft. Reem Mohammed/The National
The Mohammed bin Rashid Space Centre is carrying out the Emirates Lunar Mission. Reem Mohammed/The National
Rashid will explore the near side of the Moon, which offers a smoother surface with fewer craters, but the terrain is still unpredictable.
The four-wheeled rover can climb over an obstacle at a maximum height of 10 centimetres and descend a 20-degree slope.
But some basins on the near side of the moon are so steep that it would be impossible for the rover to climb out, were it to fall into one.
The team at the Mohammed bin Rashid Space Centre has shortlisted unexplored landing locations. The final decision will be based on an area that offers the most scientific value and security for the Arab worlds first lunar rover.
The navigation computer by Mission Control will include an AI application that will use deep-learning algorithms to recognise geological features in images captured by the rover.
This research will explore techniques for more advanced rover navigation, said Dr Melissa Battler, Mission Controls chief science officer.
By demonstrating this new technology on the moon, we will not only unlock potential autonomous decision-making capabilities for future rovers, but better support planetary-science missions going forward.
The company secured a $3.04 million fund from the Canadian Space Agencys Lunar Exploration Accelerator Programme, part of which will be used to develop the computer.
Japanese firm iSpace is building the Hakuto-Reboot lander that will deliver the rover to the Moon. Both will take off on board a Falcon 9 rocket from the Kennedy Space Centre in Florida late next year.
The Emirates Lunar Mission will also be provided with wired communication and power during the cruise phase and wireless communication on the lunar surface by iSpace.
Rashid will study the properties of lunar soil, the geology of the moon, dust movement and its photoelectron sheath for one lunar day about two weeks.
It will send back more than 1,000 images of the lunar surface.
Dr Hamad Al Marzooqi, project manager of the Emirates Lunar Mission, said it would be the first study of the photoelectron sheath.
It is a phenomenon that is created on the lunar surface due to the continuous bombardment of solar wind and cosmic rays," he said.
Sheikh Mohamed bin Zayed and Sheikh Mohammed bin Rashid personally thank staff from mission control in Dubai after Hope probe's successful orbit entry on February 9. The National
A man celebrates at an event at Burj Park in Dubai to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
People celebrate at an event at Burj Park to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
An event at Burj Park to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
People celebrate at an event at Burj Park to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
Guests arrive at the Burj Park event to mark the arrival of the Hope probe to Mars. Chris Whiteoak / The National
A guest attending the Burj Park event to mark the arrival of the Hope probe to Mars. Chris Whiteoak / The National
Burj Park was set up for people to watch the Hope probe attempt its Mars orbit insertion. Courtesy: UAE Government Twitter
UAE Mars Mission engineer, Hessa Al Matroushi, was interviewed at a Burj Park event to mark the arrival of the Hope probe to Mars. Chris Whiteoak / The National
Dr Thani Al Zeyoudi, Minister of State for Foreign Trade, attended the event at Burj Park to mark the arrival of the Hope probe to Mars. Chris Whiteoak / The National
Engineer Hessa Al Matroushi attended the event at Burj Park to mark the arrival of the Hope probe to Mars. Chris Whiteoak / The National
TV crews get ready at an event at Burj Park in Dubai to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
An event at Dubai's Burj Park to celebrate the Hope probe's Mars orbit insertion attempt. Chris Whiteoak / The National
Guests arrive at an event at Burj Park to mark the Hope probe's Mars orbit insertion attempt. Chris Whiteoak / The National
Guests and media arrive at an event at Burj Park to witness Hope probe's Mars orbit insertion attempt. Chris Whiteoak / The National
Guests arrive at an event at Burj Park to mark the Hope probe's Mars orbit insertion attempt. Chris Whiteoak / The National
Guests arrive at an event at Burj Park to mark the Hope probe's Mars orbit insertion attempt. Chris Whiteoak / The National
Guests arrive at an event at Burj Park to mark the Hope probe's Mars orbit insertion attempt. Chris Whiteoak / The National
The Burj Khalifa lights up at an event at Burj Park in Dubai to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
The UAE Flag area on the Corniche in Abu Dhabi lights up in red to celebrate the success of the Hope probe going into orbit around Mars. Victor Besa / The National
The ADNOC Headquarters lights up in Abu Dhabi to celebrate the success of the Hope probe going into orbit around Mars. Victor Besa / The National
Sheikh Mohamed bin Zayed celebrates with Sheikh Mohammed bin Rashid at an event at Burj Park in Dubai to celebrate the Hope probe going into orbit around Mars. Chris Whiteoak / The National
People celebrate at an event at Burj Park in Dubai to mark the Hope probe going into orbit around Mars. Chris Whiteoak / The National
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UAEs lunar rover will use artificial intelligence to explore the Moon - The National
The Morning Watch: The Evolution of AI in Movies, SnyderVerse vs. The Marvel Cinematic Universe & More – /FILM
The Morning Watch is a recurring feature that highlights a handful of noteworthy videos from around the web. They could be video essays, fanmade productions, featurettes, short films, hilarious sketches, or just anything that has to do with our favorite movies and TV shows.
In this edition, see how artificial intelligence has evolved in movies over the years, from the classic film Metropolis through The Terminator, Blade Runner, Her and beyond. Plus, see how The SnyderVerse approach to DC Comics compares to the films of the Marvel Cinematic Universe. And finally, listen as Emma Stone recites Steve Martins famous profanity-laden rant from Planes, Trains & Automobiles.
First up, Netflix Film Club takes a look back at the evolution of artificial intelligence in movies. They start back at the beginning with the famous robot from Metropolis, move through Terminator and Blade Runner, make stops at Ex Machina and the Marvel Cinematic Universe, and of course include Netflixs Outside the Wire and Oxygen.
Next, ScreenCrush digs deep into both the Marvel Cinematic Universe and Zack Snyders take on the DC Extended Universe to reveal the differences between the two. They break down the literary influences of Zack Snyders work and his philosophy on storytelling and also look closely at the formation of the MCU and how Marvel Studios built their own formula starting with Jon Favreaus Iron Man back in 2008.
Finally, in conjunction with the release of Cruella in theaters and on Disney+, Emma Stone stopped by Jimmy Kimmel Live. During the standard publicity fluff, the Oscar winner showed her love for Planes, Trains & Automobiles by reciting Steve Martins famous rant at the car rental desk, complete with all the f-bombs intact, even if theyre replaced by bleeps for network television. Im willing to bet thats not the only comedy bit that Emma Stone knows by heart.