IDTechEx Research Details Opportunities and Challenges of Artificial Intelligence in Robotic Surgery – PRNewswire

BOSTON, Aug. 24, 2020 /PRNewswire/ -- In its recently published report "Innovations in Robotic Surgery 2020-2030: Technologies, Players & Markets", IDTechEx reports that the robotic surgery market will reach over $12 billion by 2030. The report breaks down the market landscape and emerging technologies in the field of robotic surgery.

The rapid progress of artificial intelligence (AI) technologies in the last 5-10 years has led many to associate it with robotic surgery systems. Currently, however, few robotic surgery systems are equipped with AI-driven human-robot interaction capabilities.

AI offers numerous opportunities for the advancement of robotic surgery. It can facilitate interaction mediums between surgeons and surgical robots, for example by recognizing surgeons' movements (e.g. head, eyes, hand) and converting them into an action command for the surgical robot. AI can also enable verbal manipulation of a surgical robot through speech recognition arm. Although the precision and the accuracy of speech recognition has improved with the integration of deep learning in speech recognition, this type of technology remains in its early stages and requires further development to become reliable.

AI facilitates robotic instrument positioning. For example, ML algorithms in orthopedic surgery robots allow pre-operative planning by building a virtual model of the patient's anatomy and enable the creation of a trajectory for intervention (e.g. drilling, screw implantation). This reduces the chance of human error.

So, when will AI become widely implemented in robotic surgery systems? Currently, its use is restricted to image recognition algorithms for pre-operative planning. There is currently no clear path for other forms of AI in robotic surgery.

Regulations are the biggest roadblock. Regulatory frameworks are not built to accommodate adaptive technologies such as AI because AI algorithms constantly learn and change. When an algorithm adapts, it is no longer the same algorithm and cannot be utilized in the medical practice without updating approvals. While their understanding of AI remains vague, regulatory bodies view this unpredictability as too risky to approve for a surgical robot. They are in the process of designing new methods to regulate AI, but this will take years to come into effect.

To find out more on the use of AI in robotic surgery, please refer to the IDTechEx report "Innovations in Robotic Surgery 2020-2030: Technologies, Players & Markets". IDTechEx's findings are not restricted to AI only and cover the entire robotic surgery industry. The report breaks down the market landscape and emerging technologies, highlights the latest trends and provides market forecasts for the next decade.

For more information on this report, please visit http://www.IDTechEx.com/RoSurgery or for the full portfolio of related research available from IDTechEx please visit http://www.IDTechEx.com/Research.

IDTechEx guides your strategic business decisions through its Research, Consultancy and Event products, helping you profit from emerging technologies. For more information on IDTechEx Research and Consultancy, contact [emailprotected] or visit http://www.IDTechEx.com.

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IDTechEx Research Details Opportunities and Challenges of Artificial Intelligence in Robotic Surgery - PRNewswire

Device Insight and Sentian launch the era of Artificial Intelligence of Things – IoT Business News

New alliance connecting AI and IoT.

This cooperation combines both of the most important current fields of technology, AI and IoT, to form an Artificial Intelligence of Things (AIoT) and at the same time take the intelligent automation of industrial manufacturing processes to a whole new level, enabling companies to increase the efficiency of their production by up to 30 percent.

Until now, most industrial companies have concentrated on predictive maintenance, leaving the opportunity to optimize their core processes with the help of artificial intelligence unused. In fact, it is precisely these gradual improvements in production processes that offer promising business value, enabling companies to significantly increase their product quality level as well as the efficiency of their operations.

The goal of the innovative AIoT approach is to continuously reduce deviations from the optimum within manufacturing processes. Fewer deviations mean improved machine and system performance, less waste and lower costs and above all, more highest-quality products. The result: income and profit, as well as customer satisfaction will increase noticeably. Production will be transformed into a Smart Factory.

For the implementation of AIoT projects, Device Insight brings its expertise in connecting machines, aggregating and managing IoT data and linking AI applications into the partnership. Additional added value is created by the Munich-based IoT pioneers many years of expertise in the analysis and visualization of evaluations based on high-performance IoT components.

Swedish AI specialist Sentian contributes its advanced algorithms and solutions that help reduce deviations within individual production processes or even entire plants. Sentians mathematical optimization approach is groundbreaking, allowing fast and extremely precise planning as well as flexible replanning throughout production. Another special component is Sentians novel, model-based approach to Reinforcement Learning the latest development in deep learning.

Thanks to this unique combination of AI and IoT, Device Insight and Sentian are now able to accompany companies on the way to intelligent production away from individual solutions and selective improvements, such as those possible with predictive maintenance, and towards a holistically optimized smart factory.

Predictive maintenance is still very important for the industry. When it comes to process optimization, however, predictive maintenance can only be of limited help, says Marten Schirge, Managing Director at Device Insight.

The real challenge within industry lies elsewhere. These days, many control systems are outdated and not very adaptable, while at the same time machines are becoming increasingly complex. This is the conflict area where we begin with AIoT. Together with our partner Sentian, we want to help companies fully exploit the hidden potential for better efficiency, higher quality and ultimately more profit.

Bringing AI to the core of production enables companies to truly benefit from AI, says Martin Rugfelt, CEO at Sentian. The potential of AIoT and our cooperation to deliver fully scalable solutions provides proof of value rather than just technical proofs. AI is ready to be operationalized.

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Device Insight and Sentian launch the era of Artificial Intelligence of Things - IoT Business News

EchoNous, Inc. Seeks to Redefine Bedside Care With the Launch of Trio, an Advanced Artificial Intelligence Capability on Its Kosmos Platform -…

REDMOND, Wash., Aug. 24, 2020 /PRNewswire/ --EchoNous is launching Trio*, a set of algorithms for its cutting-edge POCUS tool, Kosmos, that will make scanning more accessible for doctors of all experience levels. The technology will help doctors guide the probe into position, grade image quality, and label cardiac structures in real-time. Reducing the steep learning curve associated with ultrasound, the AI helps doctors arrive at a confident diagnosis faster and more easily.

"The physical, or bedside exam, hasn't fundamentally changed since before we had color TV," says EchoNous founder Kevin Goodwin. "The launch of our AI-driven guiding, grading, and labeling is a big first step in our mission to revolutionize bedside clinical assessment."

The Trio of algorithms is powered by machine learning, and designed to help doctors break the barriers that have impeded ultrasound adoption: the nuances of acquiring clear images and reliably interpreting the results. In addition, it can help doctors quickly calculate key measures like ejection fraction once they are locked into the best view.

"For all those clinicians who have been reluctant or unable to start using ultrasound, and don't have an expert to stand over their shoulder and coach them, help has arrived in the form of Kosmos," says Dr. Mike Blaivas, EchoNous Chief Medical Officer and emergency physician at St. Francis Hospital-Columbus.

For medical students just learning to scan, Kosmos helps ensure they guide the probe properly and understand what they're seeing. For more experienced doctors in primary care, acute care, cardiology, and beyond, Kosmos adds confidence that they're acquiring the optimal image, even for less familiar angles.

"Ultimately this is about raising standards for the patient," says Dr. Adaira Landry, emergency physician and ultrasound faculty at Brigham and Women's Hospital. "The more doctors we have using POCUS fluently, the more patients will be diagnosed quickly and accurately. No wasted motion. No unnecessary steps." As the first to embed these AI capabilities into the physical device, Kosmos can give doctors a far more holistic view of their patients immediately and without leaving the bedside. EchoNous will continue to release new AI-driven applications over the next year, all aimed at empowering doctors at the point-of-care.

*The Trio is a real-time automatic image labeling, grading and guidance system to enable the collection of images by healthcare practitioners, including those who are not trained in sonography, to address urgent image analysis needs during the declared COVID-19 public health emergency. The Trio is intended to be used by qualified healthcare professionals or under the supervision or in-person guidance of a trained or licensed healthcare professional. This feature has not been cleared by the FDA.

About EchoNous: EchoNous' vision since inception has been to create an unprecedented diagnostic tool in the hand-held format that is low-cost and delivers high clinical value through the meaningful application of artificial intelligence. EchoNous will continue to apply deep learning tools to clinical challenges in everyday healthcare.

http://www.echonous.com

http://www.kosmosplatform.com

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Anais Concepcion[emailprotected](425) 420-0517

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EchoNous, Inc. Seeks to Redefine Bedside Care With the Launch of Trio, an Advanced Artificial Intelligence Capability on Its Kosmos Platform -...

Artificial intelligence has a high IQ but no emotional intelligence, and that comes with a cost – BBC Focus Magazine

Several years ago, I packed up my life in Cairo, Egypt, and moved to the UK to pursue my PhD thousands of miles away from everyone I knew and loved. As I settled into my new life, I found myself spending more hours with my laptop than with any other human being.

I felt isolated and incredibly homesick. Chatting online with my family back home, I was often in tears, but they had no idea how I was feeling behind my screen (with the exception of a sad face emoticon that I would send).

I realised then that our technology and devices which we consider to be smart, and helpful in many aspects of our lives are emotion blind. Technology has a high IQ, but no EQ, no emotional intelligence, and that comes with a cost.

Face-to-face, people share so much emotion and meaning beyond the words they say, through facial expressions, gestures, vocal intonations.

Read more about emotions:

But online, were relegated to texts, emojis, and one-dimensional expressions of how we feel. All of the richness of our communication disappears in cyberspace, making it more difficult to meaningfully and empathetically connect with one another.

That issue is even more pressing now that weve all been separated from each other by social distancing. Were leaning on technology to stay in touch with loved ones, to work and learn remotely, and everything in between. But we all know it doesnt feel the same. This begs the question: what can we do to preserve our humanity and our emotions in a digital world?

I believe that we can harness the power of artificial intelligence (AI) to redesign technology to not mask these elements of what makes us human, but emphasise them. Ive staked my career on this idea, and believe that AI with emotional intelligence Emotion AI will become ingrained in the fabric of the devices we use every day.

Theres a rapidly evolving market around Emotion AI: software that can detect nuanced human emotions and complex cognitive states from peoples facial and vocal expressions.

As with any new technology, we need to be thoughtful about how Emotion AI is developed, and where it is deployed, given the highly personal and private nature of peoples emotions. But I fundamentally believe that this technology has the power to amplify our empathy, online and offline, if applied mindfully and deliberately.

So, what would an emotionally intelligent digital world look like?

One area Ive been thinking a lot about recently is online conferences and virtual meetings. Like everyone else, I have spent more than my fair share of hours on Zoom over the past few months while my company, Affectiva, is remote, and many conferences where I was scheduled to speak have shifted to virtual.

Read more about artificial intelligence:

When Im leading a team meeting or presenting a keynote in person, Im able to take a pulse on how the audience is feeling based on the energy in the room.

I can riff off of signs of interest or excitement if I see peoples faces light up at an idea; or I can change course if I sense that people are becoming bored or zoning out. But presenting online is like being in a vacuum. I have no idea how people are reacting to what Im saying, or if theyre even paying attention.

If online video platforms were built with Emotion AI, we could restore some of the energy and emotion thats lost, and make meetings and conferences much more engaging as a result. If participants were willing to turn on their devices camera, and opted in to using Emotion AI, the technology could decipher peoples emotional expressions and aggregate that data in real time.

Picture an emotion newsfeed or graph that skyrocketed when attendees were excited or smiling, and tapered off when they became bored or disengaged. Not only would that insight help me as a presenter; but also, it could give attendees a sense of the energy in the (virtual) meeting room, helping restore the camaraderie we feel at in-person events or meetings.

The applications of Emotion AI arent limited to our work lives, though. Equally, if not more exciting, is its potential to bolster our interpersonal communications, and help us interact with each other more meaningfully. That drove one of the very first applications of Emotion AI that I explored: building an Emotion AI application for autism.

People on the autism spectrum often struggle with recognising and responding to non-verbal communications and emotions. But Emotion AI could be used as a tool to help people learn to navigate challenging social and emotional situations. Picture smart glasses with Emotion AI built in, that could give the wearer insight into the emotions of people theyre interacting with.

Companies are already turning this idea into reality. For example, a company called Brain Power is developing the worlds first augmented smart glass system (powered by Emotion AI) for kids and students on the autism spectrum.

The results are powerful: parents recount stories of being able to connect with their kids on an emotional level that was previously unimaginable, and the impact that has is incredibly moving.

Rana el Kaliouby

Another exciting application is in the automotive industry, where Emotion AI can improve road safety. Each year, dangerous driving behaviour (such as drowsy and distracted driving) causes thousands of accidents and fatalities in the UK alone.

Automakers are turning to Emotion AI to address these issues, by developing in-vehicle systems that use Emotion AI to detect signs of distracted or drowsy driving. The idea is that, if a vehicle recognised that its driver was starting to doze off, or was becoming distracted, the system could send an alert to remind the driver to keep their eyes on the road or pull over if the behaviour reaches a dangerous point.

Beyond making our roads safer, Emotion AI could also improve the transportation experience. Automakers are exploring in-cabin sensing systems that can understand the state of the driver, the cabin, and the occupants in it, in order to optimise and personalise the ride.

For example, after a long day at work, your car might be able to sense if youre tired or stressed. Perhaps it could play soothing music, or recommend stopping for take-out from your favourite restaurant on the way home.

Read more about future technology:

When I think about the future with Emotion AI, I envision a world where the de-facto human-machine interface more closely mirrors the way humans interact: through conversation, perception and empathy.

I believe this technology will be built into the fabric of the devices we use each day, ranging from our phones to our cars, our smart fridges to our smart speakers in turn, making our lives safer, healthier and more productive; while making our interactions with others more meaningful and empathetic.

Still, we cannot ignore the potential risks of AI. We need to be deliberate in recognising them and mitigating them. Human-centric AI systems including Emotion AI deal with data that is highly personal, and we may not (and should not) always be okay with that.

For example, I feel strongly that AI should not be deployed for use cases like security or surveillance, where there is no opportunity for people to opt-in and consent. Beyond considering how AI is deployed, its critical for the tech industry to examine how AI is developed.

The risk of bias in AI is a significant concern: if AI is not built with diverse data, and by a diverse team, they will fail to recognise all people, and stand to disenfranchise those they interact with.

Its up to tech leaders to come together and establish standards for AI ethics, and to advocate for thoughtful regulation. The industry still has a ways to go, but this movement is critical in order to realise the positive potential of this technology.

At the end of the day, we need to put the human before the artificial both in arming our technology with emotional intelligence and in determining the role it will play in our world.

Girl Decoded by Rana el Kaliouby is out now (20, Penguin Business).

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Artificial intelligence has a high IQ but no emotional intelligence, and that comes with a cost - BBC Focus Magazine

Moravian Academy junior is helping harness artificial intelligence to spot COVID-19 – lehighvalleylive.com

Mikail Jaffer is about to start his junior year at Moravian Academy, and isnt yet sure what he wants to pursue after graduation.

But one thing that's clear is he isn't afraid to set his sights high.

Jaffer, 16 and from the Allentown area, is working with a Plano, Texas-based company called CovidScan.ai on harnessing the power of artificial intelligence to diagnose COVID-19, the illness caused by the novel coronavirus.

He grew up in the biopharmaceutical industry by way of his mother and father, Fatima and Gulam Jaffer, who own Yourway, an integrated biopharmaceutical supply chain solutions provider based in Upper Macungie Township.

A classmate introduced him to the CovidScan company, and he jumped at the opportunity.

Basically I came in and helped come up with different ideas to help develop the program and make it more friendly to the user and give more data or insight to doctors or radiologists, he told lehighvalleylive.com.

Mikail Jaffer, a rising junior at Moravian Academy, is inset against a file photo of a traditional method of analyzing chest X-rays. He is working with a company called CovidScan.ai to advance an artificial intelligence program for diagnosing COVID-19 based on chest X-ray images.Courtesy photo/NJ Advance Media file photo

The idea is to run chest X-ray images through the artificial intelligence program to quickly determine whether the patient has COVID-19 or some other lung disorder, or is normal. Its trained on thousands of images and designed to be incorporated into traditional health care digital systems for widespread use, said Moksh Nirvaan, the companys co-founder and head of AI development.

The programs overall accuracy rate is running around 96%, which breaks down to near 99% for COVID-19 cases, 95% for non-coronavirus ailments and 92% for normal diagnoses, Nirvaan said in a telephone interview from Plano.

The effort won a cash prize for second place in a Facebook Hackathon earlier this year.

This type of technology shows promise, particularly for areas with too few physicians or radiologists, the National Institutes of Health said in a research publication focused on "Chest X-ray Analysis using Machine Intelligence Research for HIV/TB Screening."

Advances in machine learning and artificial intelligence techniques offer a promise to supplement rapid, accurate, and reliable computer-assisted disease screening, the NIH says. Such techniques are particularly valuable in overburdened and/or resource constrained regions. These regions also tend to exhibit high prevalence of infectious diseases and report high mortality.

CovidScan.ai has been in the works since spring, when the founders realized the unprecedented strain COVID-19 was placing on the health care system, Nirvaan said.

Plans are to partner with five to 10 clinics to begin validating the program as early as September or October before bringing it to market, he said.

Jaffer has been helpful "from a business standpoint for scalability" and efforts to get the program into use, according to Nirvaan.

My idea was, how could I help to advance this technology while also bringing it to market, Jaffer said.

Globally, as of Friday, there have been 22,536,278 confirmed cases of COVID-19, including 789,197 deaths, reported to the World Health Organization. The United States from Jan. 20 to Friday has seen 5,477,305 confirmed cases of COVID-19 with 172,033 deaths, according to the WHO.

Our journalism needs your support. Please subscribe today to lehighvalleylive.com.

Kurt Bresswein may be reached at kbresswein@lehighvalleylive.com.

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Moravian Academy junior is helping harness artificial intelligence to spot COVID-19 - lehighvalleylive.com

TikTok sues Trump over his pending order to ban its app – CTV News

NEW YORK -- Video app TikTok is suing the Trump Administration over its efforts to ban the popular Chinese-owned service over national-security concerns.

TikTok, which is owned by China's ByteDance, insisted Monday that it is not a national-security threat and that the government is acting to further the president's anti-China political campaign. The company said the government is acting without evidence for its allegations or due process. It filed suit Monday in federal court in California against the Commerce Department, U.S. President Donald Trump and Commerce Secretary Wilbur Ross, saying that it sought to prevent the government from impermissibly banning TikTok by overturning President Donald Trump's executive order.

Trump issued two orders in August. The first, on Aug. 6, imposed a sweeping but unspecified ban on anytransaction with ByteDance, to take effect by Sept. 20. A week later, he ordered ByteDance to sell U.S. TikTok assets within 90 days. TikTok's lawsuit isn't fighting the sell order.

In its complaint, TikTok said that while the full scope of the Aug. 6 ban order remains unclear until the Commerce Department fleshes it out, the order still poses an existential threat to TikTok's U.S. business. It said it would move to block action by the Commerce Department once it issues rules.

The Commerce Department and White House did not immediately reply to requests for comment.

Over past year, TikTok has tried to put distance between its app, which it says has 100 million U.S. users, and its Chinese owners. It installed a former top Disney executive as its American CEO and named two other Americans chief security officer and general counsel. TikTok has also said it is willing to sell its U.S. operations and has held talks with Microsoft with to buy parts of its English-language app. Other companies and investors have reportedly expressed interest as well.

Both Republican and Democratic lawmakers have shared concerns about TikTok that ranged from its vulnerability to censorship and misinformation campaigns to the safety of user data and children's privacy. But the administration has provided no specific evidence that TikTok has made U.S. users' data available to the Chinese government. The Trump administration has ratcheted up tensions with China over trade and tech security issues; the president has also blamed China for the global coronavirus pandemic. His administration has sought to hobble Chinese telecom equipment maker Huawei and the Chinese messaging app WeChat.

U.S. officials point to the hypothetical threat that lies in the Chinese government's ability to demand co-operation from Chinese companies. TikTok says it has not shared U.S. user data with the Chinese government and would not do so, and that it does not censor videos at the request of Chinese authorities.

In its complaint, TikTok said that it has protected U.S. user data by storing it in the U.S. and Singapore, not China. It said it has also set up software barriers to ensure that TikTok segregates its U.S. user data from other ByteDance products.

The company says Trump's Aug. 6 order violated TikTok's Fifth Amendment due-process rights by giving it no notice or opportunity to be heard. It claims that the order is not based on a genuine national emergency and the administration hasn't proven that TikTok's activities meet the legal standard of an unusual and extraordinary threat required by the International Emergency Economic Powers Act, which Trump cited as one of the bases for his order.

Getting a court to overturn the government's determination that TikTok is a national-security threat would be difficult, legal experts said. That true even though the Trump administration is pushing authority in places it's never been used before, said Paul Marquardt, a foreign-investment review lawyer with Cleary Gottlieb in Washington.

Still, the administration has significant discretion on national security, said Christian Davis, a Washington lawyer with Akin Gump whose practice focuses on foreign investment and international trade. Due-process claims might be easier to argue, Davis said, but those issues could be cured with a modification of the order.

TikTok has grown rapidly in the past two years, racking up nearly 700 million global users as of July 2020, the company said in its complaint. That has drawn the attention of officials in the U.S. as well as in other countries - India has also cracked down on TikTok - as well as U.S. competitors. Facebook recently rolled out a TikTok copycat feature in its Instagram app and its CEO Mark Zuckerberg has publicly criticized TikTok.

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TikTok sues Trump over his pending order to ban its app - CTV News

Why the connected car rides on open source – VentureBeat

The automobile is one of the most exciting frontiers in our connected lives today. Infotainment systems, real-time maps, and advanced driver assistance systems are already commonplace in newer vehicles, but it is still relatively early days for the fully connected car. The exhilarating vision of the driving experience of the near future includes augmented reality dashboards, progressively more autonomous operations, and increased integration with the outside world, from interacting with smart home devices to automatically finding parking spots nearby.

Were headed towards a time when every car will become connected. IDC forecasts worldwide shipments of connected cars vehicles that have internet access and onboard modems to communicate with external systems to reach 76.3 million by 2023, a nearly 50% increase over 2019.

For the notion of a connected car to fully realize its potential, however, the many distributed players in this field vehicle manufacturers, sensor providers, infotainment and app vendors, cloud providers, telcos, security vendors, and more must join hands to collaborate in ways that havent always come naturally to the automotive industry.

Traditionally, technology initiatives in the automotive industry have tended to be highly fragmented, with car makers favoring proprietary technology and in-house development to retain as much competitive advantage as possible. But that approach is quickly becoming obsolete in the new connected car era. We now find ourselves in an environment that involves a far more complex set of software and hardware systems to interoperate in a proper manner that satisfies the stringent road safety requirements of today.

Fortunately, a viable way forward has started to emerge. What the new connected landscape needs is a heterogeneous ecosystem of several different parties each an expert in their own niche working together to advance common goals in connectivity. Such cross-industry coalitions foster a culture of cooperation and define common standards aimed at accelerating the development and adoption of new connected car technologies.

In recent years, we have seen some key coalitions form in the field to collaboratively advance the car of the future. These include the Linux Foundations ELISA (Enabling Linux In Safety Applications) project that brings together automotive OEMs and chip manufacturers to develop standards around open-source safety-critical systems, the connected vehicles initiative at the Institute of Electrical and Electronics Engineers (IEEE), and the Connected Car Working Group at the Cellular Telecommunications Industry Association (CTIA).

As a result, Linux and open source software in general has become the go-to platform for driving connected car innovation. This has allowed more experts to contribute to the advances and has enabled auto makers to harness the superior economics, faster software cycles, and more reliable codebases of open source.

For instance, Subaru experienced the power of open source for the connected car firsthand when it set out to produce an infotainment system that would surprise and impress customers accustomed to the brands utilitarian image.

Using an open-source software stack, Subaru was able to start development with a codebase that was already 70% to a production-ready project, avoiding the need to build everything from scratch, and significantly reduce the launch cycle for its new Starlink infotainment platform in 2020 Outback and Legacy models.

Then theres data collection. Systems in connected cars collect vast amounts of data, which inform the driver about everything from when they should change the oil to the location of the nearest coffee shop. But this data also can be used to gather insights for improving driver safety and the driving experience and to formulate new products and services. When these datasets are openly shared as anonymized bundles of raw information, engineers from different companies are able to collaboratively solve problems relevant to the entire connected car ecosystem and help standardize solutions that benefit everybody.

Theres yet more for the argument in favor of collaboration and open source to grease the wheels of the connected car movement. It attracts contributions from the best and brightest developers from around the world, for whom using open source components in all their work has become as natural as power steering.

So how can companies foster unified, open platforms for the connected car?

One way is to enthusiastically support and participate in cross-industry coalitions. This work is important because the standards that result from these groups provide the common ground for companies to build, certify, and deploy their solutions. Another benefit is that it gives government agencies the concrete processes and quantitative measure to fairly and efficiently regulate the technology.

They should encourage as many of their people as possible to contribute code to open-source initiatives such as the Autoware Foundation so that the quality can continually be improved. And automotive OEMs need to double down on sharing field data that helps data scientists understand and recommend the broader trends around which platforms should be defined.

A unified software platform for the connected car is surely within reach if the collegial spirit of open source catches on in the automobile industry.

Tom Canning is Vice-President for IoT and Devices at Canonical, the company behind Ubuntu.

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Why the connected car rides on open source - VentureBeat

Open source security: Securing the worlds code, together – ETCIO.com

By Maneesh Sharma

Open source is all-pervasive in the software universe. Almost every organization using software to enhance digital transformation or business agility is consuming open source in some way. In fact, today 99% of all software projects are created using open source. Organizations whose software stack is built on open-source have been able to quickly pivot and recalibrate to meet the needs of the current environment because of the agility that open-source offers.

The adoption of open source components increases, so can security risks for both developers and security teams. For organizations on a digital transformation journey, security must be a top priority. With so much of their code being created and consumed in a collaborative manner, the need to ensure security is even more critical for them. The average software project depends on over 200 other components. Therefore, a safe and healthy open source community isnt just good for open source software, but it also benefits the millions of businesses that depend on it.

A key aspect of making security a collective responsibility is that developers are empowered to continually check for vulnerabilities as part of the development and testing phase. This approach is known as shift-left. By shifting security left, developers are able to uncover and fix vulnerabilities in the early stages of the software development lifecycle, so these are rooted out before the code is deployed to production.

Open source is fundamentally more securable than proprietary code because of this very collaborative nature of how it is built there are more experts involved in identifying and remedying security issues in the code. But security research is a specialist skill and the supply for researchers far outweighs the demand, so much so that security researchers are on average outnumbered 500:1 when compared to developers. This is where the community can help by rapidly identifying and disclosing vulnerabilities in code.

Open source development platforms are fast evolving to support this collaborative approach to building secure code, and provide tools to expand security research capabilities. From automating detection and remediation, to tracking emerging security vulnerabilities, these platforms are focused on helping developers identify threats and fix vulnerabilities before code enters in the production cycle.

Many forward-thinking enterprises are turning to open source to innovate at speed. The open source promise is one where security is an inextricable part of the entire product lifecycle, and not handled in isolation. In turn, businesses that use and build with open source must not only encourage secure practices across the development lifecycle, but they should also think about committing resources back to the wider open source community so we can create a more secure digital world that benefits everyone.

The author is Country Manager, GitHub India

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Open source security: Securing the worlds code, together - ETCIO.com

China is building a GitHub alternative amid ongoing tensions with US – ITProPortal

China is looking to build a domestic alternative to open source software development platform GitHub, according to a TechCrunch report.

To do this, the Chinese government is turning towards old and (semi-)forgotten platform: Gitee.

A recent report from China's Ministry of Industry and Information Technology (MIIT), revealed aims to turn Gitee into an independent, open-source code hosting platform for China. The project, according to the report, will be completed by a consortium spearheaded by Open Source China.

At the time of writing, Gitee has more than 10 million open-source repositories and supports north of five million developers. To put this into perspective, Microsoft-owned GitHub holds more than 100 million repositories and serves more than 30 million developers.

But the Chinese, according to TechCrunch, have no other choice; the ongoing trade war with the US is forcing the country to rely more heavily on domestic resources. Recent bans and other roadblocks the US has put in place have forced Chinese companies to minimize their reliance on western technology.

Mobile giant Huawei, which has been at the centre of the ongoing conflict, understands this best.

If China does not have its own open-source community to maintain and manage source codes, our domestic software industry will be very vulnerable to uncontrollable factors, said Huawei executive Wang Chenglu at an event last August.

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China is building a GitHub alternative amid ongoing tensions with US - ITProPortal

Polyverse partners with SUSE to protect against zero-day attacks – PR Web

Enterprise protection against zero-day attacks

BELLEVUE, Wash., (PRWEB) August 24, 2020

Polyverse Corporation has entered into an agreement with SUSE to provide Polymorphing for SUSE Linux Enterprise Server as an innovative way of helping protect government and enterprise customers against zero-day attacks.

We are excited about the opportunity this partnership brings our customers, said Alex Gounares, Polyverse CEO. The combination of SUSE, the worlds largest independent open source software company, and Polyverse, a provider of leading-edge cybersecurity technology for open source, makes SUSE the natural choice as a preferred partner.

Currently used by the Department of Defense and other government institutions to protect some of the most critical military infrastructure, Polymorphing mitigates risk from rapidly increasing and adapting cyberattacks on Linux. It provides immediate protection against the #1 most dangerous software weakness identified by MITRE 2020 memory-exploiting zero-day attacks whether systems are patched or unpatched, without any negative impact on application performance or disruptive changes to working practices or processes.

Security is top of mind for government and enterprise customers, and SUSE Linux Enterprise Server is one of the most secure platforms for mission-critical applications, said Jeff Lattomus, president, North America, for SUSE. The combination of Polyverse Polymorphing and SUSE Linux Enterprise Server helps protect against the exploitation of memory-based vulnerabilities, enabling IT teams to focus more on forward-facing, innovative projects that drive business value.

Polymorphing for SUSE Linux Enterprise Server can be applied to containerized cloud native applications and virtualized or physical data center environments. Polymorphing can be used to secure workloads on AWS Public and GovCloud, Microsoft Azure, and Google Cloud.

Polymorphing for SUSE Linux Enterprise Server is available immediately. For more information, see our website or contact suseteam@polyverse.com.

About Polyverse:Polyverse Corporation is a cybersecurity company that uses its revolutionary Polymorphing technology to defend global enterprises and governments against the most devastating zero-day cyberattacks. Validated by the U.S. Department of Defense to mitigate against zero-day memory exploits, Polyverses turnkey solution supports all major versions of Linux, installs in minutes and works with existing systems without changing performance or IT processes. Founded in 2015, Polyverse is led by founder and CEO Alex Gounares. CNBC named Polyverse as one of the Top 100 Startups in the World. Visit our website, read our blog, and follow us on Twitter @PolyverseCorp. For any questions please contact Joanne Harris on +1 855 765 9837 or jharris@polyverse.com.

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Polyverse partners with SUSE to protect against zero-day attacks - PR Web