KRAKW, Poland and AUCKLAND, New Zealand, July 9, 2020 /PRNewswire/ --Ardigenand CVC announced that they entered a research collaboration aimed at the development of SARS-CoV-2 vaccine.

Ardigen's neoantigen prediction platform called "ArdImmune Vax" employs state of the art bioinformatics and Artificial Intelligence to identify an optimal set of neoantigens as targets for cancer vaccines or adoptive cell therapies. This technology is also very well suited for the design of vaccines for infectious diseases. The core of the platform is a proprietary algorithm capable of predicting neoantigens' probability to elicit an immune response.

This joint research enables CVC to benefit from Ardigen's vaccine design technology by selecting which viral epitopes are the most suitable to boost cellular immune response. Complementing humoral and cellular response in the vaccine design is expected to result in 2 strong lines of defense against the coronavirus. The approach is likely to be more effective than vaccines designed to create antibodies alone.

"We are thrilled to help global efforts to mitigate COVID-19 applying our breakthrough technology powered by Artificial Intelligence, reducing the vaccine design phase to a few weeks," comments Janusz Homa, CEO of Ardigen.

Robert Feldman, CEO and Co-founder of CVC, adds: "CVC is excited to be working with Ardigen who are at the forefront of T-cell epitope design. The collaboration gives us the best chance of our product inducing an effective T-cell response against SARS-Cov-2."

About Ardigen

Ardigenis harnessing advanced Artificial Intelligence methods for novel precision medicine. The company accelerates therapy development by decoding microbiome, designing immunity and providing digital drug discovery services. Ardigen's team is rooted in biology and holds deep expertise in bioinformatics, machine learning, and software engineering. The company's in-house datasets together with platforms for immunology, biomarker, and microbiome research can empower effective pharmaceuticals development.

About CVC

New Zealand based CVC (COVID-19 Vaccine Corporation) is focused on creating an effective vaccine for the SARS-CoV-2 virus which has caused the recent pandemic. The highly scalable biobead technology that will be used in the vaccine production was developed by Polybatics, a company spun off from Massey University in 2009 in New Zealand. The CVC founders bring to the table 30 years of experience in the biotechnology industry and in pharmaceutical manufacturing. Read more at cvc.nz.

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Contact:Barbara Wyroba| Ardigen S.A.+48-539-730-118[emailprotected]

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Ardigen Enters Into Research Collaboration With CVC to Apply Artificial Intelligence for Identification of T-cell Targets - PRNewswire

MUMBAI :Artificial intelligence (AI) will not only help to resolve complex global problems but can enable businesses make better decisions on a day-to-day basis if applied well, said panelists at the Mint Pivot or Perish webinar on automation in the new normal post covid pandemic.

AI can be embedded into our day-to-day applications so the human intellect takes better decisions based on the most relevant data to the particular request basis past or similar requests. This is a growth opportunity for businesses now," said Dulles Krishnan, area vice president - Salesforce.

For example, during a service request, offering the employee insights about the customers preferences or similar examples of previous customers can help them efficiently up sell solutions and create more revenue or service opportunities.

On one end of automation is work that is high volume and repetitive. More usage of automation is now moving to low volume but unique work which requires solutions. That is where bots and AI solutions co-exist with humans," said Kamal Singhani, managing partner, IBM India.

Sangeeta Gupta, VP and chief strategy officer, Nasscom, said while AI can augment productivity and innovation, it can only work in well-defined use cases though it needs good quality data to work with.

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Viz.ai, the leader in Applied Artificial Intelligence for Healthcare, has been named to the prestigiousForbes Top50 AI list. The list honors the top 50 companies making the most impact using artificial intelligence to drive change and transform industries.

Forbes evaluated hundreds of innovative companies and recognized the top 50 for their use of artificial intelligence to drive outcomes for customers. As a company known for driving innovation in healthcare technology, Viz.ai was selected for its work dedicated to improving treatment times in stroke care and advancing how healthcare is delivered across a hospital network.

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Its not just about the AI, said Eric Eskioglu, MD, FAANS Neurosurgeon, Executive Vice President & Chief Medical Officer Novant Health. Hospital systems using Viz for stroke care have seen meaningful reductions in treatment times, improvement in outcome scores and reduction in hospital length of stay. Viz is setting the standard for how healthcare can be delivered with operational precision, equity in treatments and outstanding clinical results. Its become how modern healthcare happens.

Viz.ai is now taking its proven patient and operational benefits and applying its technology to other aspects of healthcare, including the response to the pandemic. Viz COVID-19, available to any hospital at no cost, is improving communication, workflow and bed management for hospitals struggling with the COVID-19 crisis. Viz CONSULT is improving imaging, workflow and decision making across multiple new disease states such as Spine, Trauma and Pulmonary Embolism. Viz CLINIC is transforming the doctor visit experience for HCPs and patients and Viz ANALYTICS is enabling dynamic quality improvement through local and national benchmarking.

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We are honored to be recognized by Forbes as one of the leading AI Healthcare companies. It demonstrates the importance of putting patients first and applying the latest technology to improve patient outcomes, said Viz.ai CEO & Co-Founder, Dr.Chris Mansi. We look forward to making an impact across healthcare ensuring the right patient is seen by the right doctor at the right time, every time.

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LACROIX Group is pursuing its ambitious strategy with the acquisition of start-up eSoftThings, an expert in the Internet of Things and artificial intelligence.

With the acquisition of eSoftThings, based in Cesson-Svign (Rennes metropolitan area, France), LACROIX Group has consolidated its R&D division already present in the area and strengthened its positioning around the industrial IoT (Internet of Things) and artificial intelligence, particularly in the field of connected vehicles. This Young Innovative Company with 50 employees, founded in 2014, which has recorded 50% annual growth for the last three years and boasts an impressive client portfolio, is now an international benchmark in the design and industrialisation of IoT solutions (hardware, software and cloud) and in the field of artificial intelligence (computer vision, object classification, behaviour prediction).

A strategic deal for the technological equipment manufacturer LACROIX Group

As the industrial IoT enters a new phase of maturity and calls for critical masses able to meet the latest technological challenges, the arrival of this new entity within LACROIX Group consolidates its ability to keep fully abreast of cutting-edge technologies and offer its customers increasingly smart equipment.

In the era of onboard artificial intelligence, data processing and information retrieval, eSoftThings chimes perfectly with the strategic plan launched by the Group in 2016. Indeed, with its sound experience in hardware and software design, its know-how in the development and integration of onboard software, alongside specialities in connectivity, energy consumption optimisation and artificial intelligence, this new subsidiary will be central to the Groups R&D project.

Having attained profitability within its first year, eSoftThings proved the value of its abilities at an early stage and made a rapid international impact, including in the United States and Asia. In financial year 2019, eSoftThings recorded turnover of 4.5M, with operating marging in double figures.

For us, joining the teams at LACROIX Group is an opportunity to contribute to a great ambition, which we share, and to collaborate with teams whose expertise is matched by their enthusiasm, observes Kimmo Vuorinen, President of eSoftThings. In addition, the very clear strategy of the LACROIX Group, in which we fit perfectly, will certainly be a catalyst for us, adds Jean-Marie Rolland, CEO of eSoftThings.

Underlining its positioning as global leader in the Industrial IoT.

This new acquisition, the sixth in four years, concludes the programme of external growth under our Ambition 2020 plan, and sets us on the strategic path towards our forthcoming 2025 plan. The projects already underway and the connection between the teams herald a bright future. I am delighted that our unique global positioning and the complementarity of our activities now give us the benefit of critical mass,as well as commercial, industrial and financial synergies. With eSoftThings, we are reinforcing our technological synergies, a major asset for the future, explains Vincent Bedouin, CEO of LACROIX Group.

ABOUT LACROIX Group

LACROIX Group is an international technological equipment manufacturer, aiming to serve a connected and responsible world with its technical and industrial excellence. As a listed family-run SME, LACROIX Group combines the essential agility required to innovate in an ever-changing technological sector with the industrial capacity to produce robust, secure equipment and the long-term vision to invest and build for the future.

LACROIX Group designs and manufactures electronics equipment for its clients products, particularly in the automotive, home-automation, avionics, industrial and healthcare fields. LACROIX Group also provides safe, connected equipment for the management of critical infrastructures such as smart roads (street lighting, traffic signs, traffic management, V2X) and the management and operation of water and energy systems.

Drawing on its extensive experience and expertise, the Group works with its customers and partners to build the connection between the world of today and the world of tomorrow. It helps them to build the industry of the future and to make the most of the opportunities for innovation that surround them, supplying them with the equipment for a smarter world.

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VeChain will be opening the first blockchain technology session in this conference, with our session titledblockchainize the future, power the economy.

The blockchain forum will be co-hosted by theShanghai Municipal Commission Of Economy And Informatization,Shanghai Finance Information Associationand several other large enterprises and organizations. VeChain will be sharing our experience in the blockchain deployment, integration and usage for various business scenarios and current successful users.

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Since the first WAIC in 2018, the event has become a grand meeting and festival, accumulating international influences across various industries. In line with the growing trend of the online new economy and digital transformation, this years conference will be inviting top-of-line tech enterprises, including Microsoft, Amazon, Alibaba,Tencent, Huawei and more.

This event will be the perfect avenue for VeChain to showcase our industry-leading blockchain infrastructure and technology. As the company responsible for opening the blockchain session of the WAIC conference, we have no doubt that our keynote will be closely listened to by other attendees and VIPs invited to the event.

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On20 April 2020,ChinasNational Development and Reform Commission (NDRC), the cabinet-level department that draws up policies and strategies for the direction of the Chinese economy,has expanded its definition of new infrastructure to include blockchain technology.

Investment in new infrastructure is expected to comprise 7%-12% of all infrastructure spending,with China International Capital Corporation (CICC) seeing new infrastructure investment of between 1-1.8 trillion yuan. As blockchain technology is becoming one of the major technical forces to boost the post-COVID economy, WAIC intends to open more discussions around its development.

With the theme of Intelligent Connectivity Indivisible Community, this Conference will be a high level platform attracting the most influential scientists and entrepreneurs around the world as well as government leaders to converse and talk about the technological frontiers, industry trends and provoking issues in forms of speeches and high-level forums.

VeChain will capitalize on this massive opportunity to pitch and share our experience and solutions to all stakeholders attending the conference. We are confident that our reputation and experience in solving pain points in the business world will convince even more partners to come onboard and expand our networking opportunities.

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VeChain Is Attending the World Artificial Intelligence Conference 2020 Hosted - AiThority

The Department of Computer Science of University College here recently organised a national-level webinar on Artificial Intelligence and Machine Learning, and a quiz competition.

Inaugurating the webinar, Mangalore University Vice-Chancellor P. Subrahmanya Yadapadithaya said that the digital world was not the future but the present. Artificial Intelligence and Machine Learning were important in day-to-day life, and during technological advancement, access to data and development has also increased, he said.

College principal M.A. Uday Kumar highlighted the new dimensions of Artificial Intelligence and Machine Learning, and also of data analysis. In the period of globalisation to take quick quality decisions, artificial intelligence or similar technologies were needed, he said.

V. Priya Senan from SASSNDP Yogam College, Konni, Kerala, Parag A. Tamhankar from MES Abasaheb Garware College, Veerabhadrappa, University College Computer Science Department Head, Veerabhadrappa, Assistant Professor, Bharathi Pilar and Sharadha Bhat from Ankola Government First Grade College were resource persons. K. Sudheendra conducted the quiz competition.

Over 350 students, research scholars and professors from various States participated in the webinar.

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Modern society depends a lot on computing to help accomplish a variety of tasks. From creating ideal temperatures in refrigerators to store grocery to widespread application in government defense systems, basic AI systems are near-ubiquitous.

Machines such as Roomba have taken the home care industry by storm. Clever implementation of AI has resulted in cleaning tasks being conducted efficiently. Kismet, a social smart bot manufactured by researchers at MIT, is an AI machine that can converse emotionally with humans.

Powerful AI software is at our fingertips as well. Applications such as SIRI and Alexa hone in on human needs to accomplish tasks on iOS and Amazon devices. The help retrieves instant answers, using the internet, as well as accomplish a set of limited tasks.

One of the biggest advancements in AI has been the implementations (and adoption) of self-driving or autonomous vehicles. E.g., Teslas models rely on advanced AI features and hardware upgrades to navigate through cities and open roads alike.

Similarly, hospitals around the world have become accustomed to having AI devices take over important processes. Some of them include measurement of dosages to patients during a procedure and surgical assistance. AI-powered robots have been taken up in the disinfection of hospitals as well to check the spread of dangerous diseases.

Elsewhere, artificial intelligence software is being put to use in molecular biology and biotechnology to analyze compounds, viruses, and bacteria to ensure pandemic-like situations can be better forecasted and combated.

Marketers have used AI to achieve better positioning, awareness, and sales for their brands. Chatbots converse with users on a website and guide them in decision making, by simply computing the nature of their input. AI is also used to analyze big data of digital marketing campaigns and tweak them based on daily analysis, without human intervention.

In the entertainment sector, Over the Top (OTT) platforms such as Netflix run recommendation engines and predictive analysis tools anticipate user behavior, tastes. They keep their libraries updated on this information as well as suggest new shows in every region or language to the user.

With significant contributions to the fields of astronomy, customer service support, as well as logistics, AIs implementations are endless in the modern era.

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Best Artificial Intelligence Software - Reviews 2020 ...

There is lots of talk about Artificial Intellenege in IT industry. Needless to say, it is going to be a big advancement in the technology field.

As like every other growing technology, plenty of statements is going around about AI ethics.

Is it good or bad?

What are the pros and cons of Artificial Intelligence?

There are lots of myths about artificial intelligence. Before getting into it, here is Artifical Intelligence, I can define it in a simple way

Artificial intelligence (AI) is described as the intelligence of machines. Its all about creating machines that have the ability to think like humans and as the technology is advancing with time, researchers and scientists are aiming to introduce an emotional characteristic as well into these machines.

With the growing technological advancements, it looks like artificial intelligence would definitely be the next big thing of this era.

Ever thought how would this affect human life?

Go through the following points to know what advantages and disadvantages artificial intelligence can bring with it.

AI comes with advantages and disadvantages. Lets look at them one-by-one.

Here are the advantages of using Artificial Intelligence (AI).

Unlike humans, robots and machines do not have to get paid every month for the work they do.

Although machines are pretty much expensive to maintain, the maintenance cost is very small as compared to the expenses that an organization bears for its employees.

Hence, it helps to reduce and to control the cost by using artificial intelligence.

Artificial intelligence provides work efficiency.

Since manpower would be replaced by machines, work would be performed in a more efficient manner, depending on the type of intelligence.

If machines would be built without any flaw, no doubt they would be able to perform even the most complex tasks without any error.

One of the top benefits of using artificial intelligence in the workplace is that machines and robots can perform lengthy and important tasks in a more effective manner.

Even the machine doesnt need to take a break to accomplish a big task. Unlike humans, machines dont need to rest or take a break.

They dont need to eat or sleep like us and never fell ill or take leaves.

They only need to be recharged or refueled by an energy source to reach their full potential.

Ultimately, this enables the companies to boost their productivity by working 24 hours.

Artificial intelligence has many benefits to the human. By automating a simple task, we can save a lot of time.

Since machines dont have emotions, there are no chances of any emotional barriers getting in the way of the workplace.

This is a great advantage because having no emotions means that nothing is going to affect their performance.

However, this is completely different in the case of humans because we have emotions and many of us find it hard to work in a stressful environment.

These are all advantages of AI. It is not easy to see future programming prediction. So its time that will tell us more about it.

Now lets see what are the disadvantages of Artifical Intelligence.

Here are the disadvantages of Artifical Intelligence (AI).

There is no doubt that machines are much better when it comes to working efficiency but they cannot replace the human connection that makes the team. Machines cannot develop a bond with humans.

With more and more machines being designed, there will be an abrupt increase in unemployment and job security. Since machines are replacing human resources, the rate of people losing their jobs will increase.

Needless to say, humans will be no longer a priority for companies.

The only way to empower yourself in the IT industry is by improving your technical skills and by finding trends for future jobs requirement.

If you are aprogrammer, you should always keep analyzing the programming job requirement in the future.

Living in the 21st century, weve seen and even experienced it once or more than once in our lives that our important information gets missing due to technical issues such as machine damages or the software of our system getting corrupt.

We use computers, smartphones and other devices to store almost all our important documents, files, pictures, and videos. Once lost, it is not possible (or very difficult) to retrieve this information.

This can cause serious trouble for your businesses.

Misuse or exploitation of anything is bad.

In the case of artificial intelligence, its worse.

We often hear threats that the misuse of technology can bring the world to a destructive end. This stands true to a great extent as we have seen in animated movies and films.

If AI is given into wrong hands, high technology machines can definitely destroy society.

Wrapping Up My Thoughts on Artificial Intelligence Growth

Despite all the pros and cons Of Artificial Intelligence, Industries are adopting Artificial Intelligence to do the work more efficiently and with less cost. So as the way Big data is becoming a future trend, Artificial Intelligence is too.

We saw the advantages and disadvantages of artificial intelligence. Today machines possess almost human-like abilities and artificial is a perfect example of this fact.

As per derived knowledge, the outcomes in artificial intelligence are getting better rapidly.

Therefore, it is best to accept the changes in the world we live and take benefit from all the amazing features that artificial intelligence has to offer to us.

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At the American Association of Physicists in Medicine (AAPM) 2019 meeting, new artificial intelligence (AI) software to assist with radiotherapy treatment planning systems was highlighted. The goal of the AI-based systems is to save staff time, while still allowing clinicians to do the final patient review.

RaySearch demonstrated a new U.S. Food and Drug Administration (FDA)-cleared machine learning treatment planning system. The RaySearch RayStation machine learning algorithm is being used clinically by University Health Network, Princess Margaret Cancer Center, Toronto, Canada, where it was rolled out over several months in late-2019. Medical physicist Leigh Conroy, Ph.D., was involved in this rollout and helped conduct a study, showing the automated plans and traditionally made plans to radiation oncologists to get valuable feedback. She spoke at the AAPM 2019 meeting on this topic.

In an interview with itnTV, Conroy explained that she worked with an algorithm that uses machine learning to create automated treatment plans. With this, we train the algorithm using a curated set of high-quality, previously delivered plans. Then, it is able to detect the patient that is most similar to a novel patient and create a new treatment plan with no user interaction beyond pressing the play button, she explained.

Conrads study directly compared those automated treatment plans to traditionally generated manual plans. The radiation oncologist then compared those two plans head-to-head and decided whether each plan was acceptable, and chose the favored plan. The plans are not modified as they are performing them, however they are modifiable. The automated plan is modifiable, but for the purposes of this study, we are not going to be modifying them so we can directly compare the output of the machine learning algorithm to the output of the planners, she said.

The system was trained using a model that was developed at Princess Margaret, and the model is being used clinically. The way that we are doing our study is if the doctor does choose the automated plan, then its underlined that the physicist knows when they are doing their plan QA that it is an automated plan, and it goes to the same QA that it normally would, and the patient-specific QA is a fully deliverable plan, and that is the plan that the patient is treated with.

Depending on how things go with the study, it is predicted that AI should see a regular implementation. That is the point of the study, to make sure we can do this and work it into our regular process and eventually provide it if the doctors continue to like the automated plans, she said.

One of the main ideas in implementing AI is to save time to get more patient throughput. We are not measuring the end to end timing of a planner vs. the machine learning. But one of the major advantages is that it takes about 20 minutes for a new patient, however there is no user interacting during those 20 minutes, so the planner can go and do other work or other plans during that time, and come back so there is a fully done plan.

There is a different process depending on what plan is being created. However, the AI would help to free them up to be able to do other duties. From a planner expertise perspective, some of the planning techniques such as head and neck might be more complicated so it might take longer for the planner to do it. Its more reliant on their level of expertise, she explained.

Varian also has developed AI-driven automated treatment planning software that is currently being used by several hospitals.

Recently, Varian released the newest version of its treatment planning system, Eclipse v16. This new release includes intelligent features such as RapidPlan PT, a clinical application of machine learning in proton treatment planning, and RT Peer Review, a collaborative workspace designed to streamline and accelerate the peer review process for radiotherapy treatment plans.

Previously only available for photon-based radiotherapy treatment planning, RapidPlan is knowledge-based treatment planning software that enables clinicians to leverage knowledge and data from similar prior treatment plans to quickly develop high-quality personalized plans for patients. This knowledge-based planning software is now available for proton treatment planning with RapidPlan PT. The software also allows dose prediction with machine learning models that can be used as a decision support tool to determine which patients would be appropriate for proton or photon therapy.

With the number of operational proton treatment rooms continuing to increase, there is a need for experienced proton therapy clinicians, said Kolleen Kennedy, chief growth officer, president, Proton Solutions, Varian, in a written statement. RapidPlan PT helps bridge the learning curve, allowing established centers to share their models and clinical experience. The machine learning in RapidPlan PT has the potential to reduce proton treatment plan optimization from a one- to eight-hour process, as reported by clinical proton centers, to less than 10 minutes, while also potentially improving plan quality.

Eclipse v16 has received the CE mark and is 510(k) pending.

Artificial Intelligence Greatly Speeds Radiation Therapy Treatment Planning

VIDEO: Use of Machine Learning to Automate Radiotherapy Treatment Planning

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Integrating Artificial Intelligence in Treatment Planning - Imaging Technology News

The Pentagons artificial intelligence hub is shifting its focus to enabling joint warfighting operations, developing artificial intelligence tools that will be integrated into the Department of Defenses Joint All-Domain Command and Control efforts.

As we have matured, we are now devoting special focus on our joint warfighting operation and its mission initiative, which is focused on the priorities of the National Defense Strategy and its goal of preserving Americas military and technological advantages over our strategic competitors, Nand Mulchandani, acting director of the Joint Artificial Intelligence Center, told reporters July 8. The AI capabilities JAIC is developing as part of the joint warfighting operations mission initiative will use mature AI technology to create a decisive advantage for the American war fighter.

That marks a significant change from where JAIC stood more than a year ago, when the organization was still being stood up with a focus on using AI for efforts like predictive maintenance. That transformation appears to be driven by the DoDs focus on developing JADC2, a system of systems approach that will connect sensors to shooters in near-real time.

JADC2 is not a single product. It is a collection of platforms that get stitched together woven together into effectively a platform. And JAIC is spending a lot of time and resources focused on building the AI component on top of JADC2, said the acting director.

According to Mulchandani, the fiscal 2020 spending on the joint warfighting operations initiative is greater than JAIC spending on all other mission initiatives combined. In May, the organization awarded Booz Allen Hamilton a five-year, $800 million task order to support the joint warfighting operations initiative. As Mulchandani acknowledged to reporters, that task order exceeds JAICs budget for the next few years and it will not be spending all of that money.

One example of the organizations joint warfighting work is the fire support cognitive system, an effort JAIC was pursuing in partnership with the Marine Corps Warfighting Lab and the U.S. Armys Program Executive Office Command, Control and Communications-Tactical. That system, Mulchandani said, will manage and triage all incoming communications in support of JADC2.

Mulchandani added that JAIC was about to begin testing its new flagship joint warfighting project, which he did not identify by name.

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We do have a project going on under joint warfighting which we are going to be actually go into testing, he said. They are very tactical edge AI is the way Id describe it. That work is going to be tested. Its actually promising work were very excited about it.

As I talked about the pivot from predictive maintenance and others to joint warfighting, that is probably the flagship project that were sort of thinking about and talking about that will go out there, he added.

While left unnamed, the acting director assured reporters that the project would involve human operators and full human control.

We believe that the current crop of AI systems today [...] are going to be cognitive assistance, he said. Those types of information overload cleanup are the types of products that were actually going to be investing in.

Cognitive assistance, JADC2, command and controlthese are all pieces, he added.

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