Julian Assange and the new McCarthyism – Morning Star Online

IF WARS can be started by lies, they can be stopped by truth: Julian Assange, publisher.

Nearly 70 years ago, in 1951, the founder and director of International Publishers Ltd, Alexander Trachtenberg, was one of a group of communists arrested and indicted under the 1940 Alien Registration Act, known as the Smith Act.

Indictments under this Act formed part of the general process known as McCarthyism which effectively succeeded in its aim of disarming and immobilising the CPUSA.

Trachtenberg received a three-month sentence, which ended when the key witness retracted. He was convicted again in 1956 but the conviction was later overturned.

Many Star readers may find books published by International Publishers on their shelves: works by Marx, Engels and Lenin (including the Little Lenin Library) and works developing their ideas; analyses of modern-day imperialism, of Soviet economic development, of US industry and labour conditions and the history of negro slavery; works of new US proletarian writers.

In 1952 a public meeting was held in defence of Trachtenberg, and the speechesat the meeting were brought together in a pamphlet, Publisher on Trial: the case of Alexander Trachtenberg.

Speakers included William Patterson, executive secretary of the Civil Rights Congress, Howard Fast and the historians Philip S Foner and Herbert Aptheker, as well contributions sent from Britain by DN Pritt and Rajani Palme Dutt.

Speakers focused on two elements. First, the charges against Trachtenberg as a publisher represented an attack on the right to hold alternative views or to read alternative literature, as Howard Fast noted: The indictment has a singularity as exercised toward him. Both the man and the books he has published are on trial.

Second, the speeches linked the indictments to mounting militarisation and preparation for war.

There are striking parallels between the words used in this pamphlet to defend Trachtenberg, and the words used currently by defenders of Julian Assange.

The wider intention of the prosecutions against both men was and is to stifle all dissent and especially to silence the voices raised against mongering cold and hot, old and new wars.

Both cases have dire implications for other publishers.

In 1950 Albert Maltz wrote: If Alexander Trachtenberg is locked behind bars then the shadow of those bars will fall upon the desk of every publisher in the United States.

Imprison the publisher of Marxist works today and then let us see what other publishers will dare print tomorrow.

In 2020 the charges against Assange, as his lawyer Jen Robinson has stated, relate to activity that journalists engage in all the time and any prosecution and extradition of Mr Assange for having done so or [being] alleged to have done so will place a massive chill on investigative journalism the world over.

In both cases, the charges brought under the Smith Act in 1950 or at Assanges extradition hearings in 2020 under the US Espionage Act are prima facie violations of the First Amendment of the US constitution.

Following the collapse of the appeal to the Supreme Court that the Smith Act violated the First Amendment, Justice William O Douglas issued a dissenting opinion, arguing that the judgement is to make freedom of speech turn not on what is said but on the intent with which it is said.

Once we start on that road we enter territory dangerous to the liberties of every citizen we then start probing mens minds for motive and purpose; they become entangled in the law not for what they did but for what they thought.

The Washington Post in 1950 saw the aim of the legal attack on the CPUSA as not so much the protection and security of the state as the exploitation of justice for the purpose of propaganda.

With regard to the indictment against Assange, the New York Times stated on May 23 2019: The new charges focus on receiving and publishing classified material from a government source.

That is something journalists do all the time. They did it with the Pentagon Papers and in countless other cases where the public benefited from learning what was going on behind closed doors, even though the sources may have acted illegally.

This is what the First Amendment is designed to protect: the ability of publishers to provide the public with the truth.

Supposed guardians of a free press and many left radicals and liberals deserted Trachtenberg just as Julian has experienced today.

In the case of Trachtenberg, condemnation was made automatic through the intense red-baiting of the day.

As a result, the people whose professional duty is to be the guardian of the free press the publishers, professors, teachers in the schools, librarians, booksellers kept silent, saving their reputations, wrote Maltz.

Assange was systematically and interminably defamed by reference to allegations of rape, now dropped: the result is that Assange has become a pariah.

Lost is the fact that he and Wikileaks did what all journalists should do, which is to make important information available to the public, enabling people to make evidence-based judgments about the world around them and, in particular, about the actions of their governments.

The speech by Angus Cameron, himself a radical publisher and later blacklisted, explained what was at stake: Americans must come to realise before it is too late that the freedom of speech and the freedom of the press which they take for granted are the right to express heresy to the current view whether that current view be the precepts of a tyrannical 17th-century theocracy in Massachusetts or against the precepts of a 20th-century financial-military oligarchy in Washington DC and New York City.

The same applies today in the defence of Julian Assange.

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Julian Assange and the new McCarthyism - Morning Star Online

Wikileaks-Hosted "Most Wanted Leaks" Reflects the Transparency Priorities of Public Contributors – EFF

The government recently released a superseding indictment[1] against Wikileaks editor in chief Julian Assange, currently imprisoned and awaiting extradition in the United Kingdom. As weve written before, this prosecution poses a clear threat to journalism, and, whether or not Assange considers himself a journalist, the indictment targets routine journalistic practices such as working with and encouraging sources during an investigation.

While considering the superseding indictment, its useful to look at some of the features carrying over from the previous version. Through much of the indictment, the government describes and refers back to a page on the Wikileaks website describing the Most Wanted Leaks of 2009.[2] The implication in the indictment is that Wikileaks was actively soliciting leaks with this Most Wanted Leaks list, but the government is leaving out a crucial piece of nuance about the Most Wanted Leaks page: Unlike much of Wikileaks.org, the Most Wanted Leaks was actually a publicly-editable wiki.

Rather than viewing this document as a wishlist generated by Wikileaks staff or a reflection of Assanges personal priorities, we must understand that this was a publicly-generated list developed by contributors who felt each wanted document offered information that would be valuable to the public.

Archives of the page show evidence of the editable nature of the document:

The Most Wanted Leaks page shows that it has visible edit links, similar to what one might find on any wiki page.

Language on the page says that one can "securely andanonymously" add your nomination by directly editing the page:

And goes on to encourage contributors to "simply click "edit" on the country below" to make changes to the page:

While we dont know how many people contributed to the page at the time, the different formatting and writing styles across the page support the idea that this page was edited by many different people. But the governments indictment, which names this document no less than 14 times and dedicates multiple pages to describing it, never explains the crowd-sourced nature of the Most Wanted Leaks document.

Its easy to understand why. The government prosecutors are trying to paint a picture of Assange as a mastermind soliciting leaks, and is charging him with violating computer crime law and the Espionage Act. It doesnt suit their narrative to show Wikileaks as a host for a crowdsourced page where activists, scholars, and government accountability experts from across the globe could safely and anonymously offer their feedback on the transparency failures of their own governments. But as we analyze the indictment, its important that we keep this context in mind. Its overly simplistic to describe the Most Wanted Leaks list, as the government does in its indictment, as ASSANGEs solicitation of classified information made through the Wikileaks website" or a way "to recruit individuals to hack into computers and/or illegally obtain and disclose classified information Wikileaks." This framing excises the role of the untold number of contributors to this page, and lacks an understanding of how modern wikis and distributed projects work.

Weve long argued that working with sources to obtain classified documents of public importance is a well-established and integral part of investigative journalism and protected by the First Amendment. Even if Assange had himself written and posted everything on the Most Wanted Leaks page, then the First Amendment would protect his right to do so. There is no law in the United States that would prevent a publisher from publicly listing the types of stories or leaks they would like to be made publicly. But thats not what happened herein this case, Wikileaks was providing a forum where contributors from around the world could identify documents and data they felt were important to be made public. And the First Amendment clearly protects the rights of websites to host a public forum of that nature.

Many of the documents on the Most Wanted Leaks page are of clear public interest. Some of the documents requested by editors of the page include:

While today its in the governments interest to paint Wikileaks as a rogue band of hackers directed by Assange, the Most Wanted Leaks page epitomizes one of the most important features of Wikileaks: that as a publisher, it served the public interest. Wikileaks served activists, human rights defenders, scholars, reformers, journalists and other members of the public. With the Most Wanted Leaks page, it gave members of the public a platform to speak anonymously about documents they believed would further public understanding. Its an astonishingly thoughtful and democratic way for the public to educate and communicate their priorities to potential whistleblowers, those in power, and other members of the public.

The ways Wikileaks served and furthered the public interest doesnt fit the prosecutions litigation strategy. If Assange goes to court to combat the Espionage charges he is facing, he may well be prevented from discussing the public interest and impact of Wikileaks publication history. Thats because the Espionage Act, passed in 1917, pre-dated modern communications technology and was never designed as a tool to crack down on investigative journalists and their publishers. Theres no public interest defense to the Espionage Act, and those charged under the Espionage Act may have no chance to even explain their motivation or the impactgood or badof their actions.

Assanges arrest in April 2019 was based on a single charge, under the Computer Fraud and Abuse Act (CFAA), arising froma single, unsuccessful attempt to crack a password. At the time, it was clear to usthat the governments CFAA charge was being used as a thin cover for attacking the journalism. The original May 2019Superseding Indictment added 17 additional charges to the CFAA charge, and clarifying it was charging both conspiracy and a direct violation. In the Second Superseding Indictment, however, thedirect CFAA charge is gone, leaving the charge of Conspiracy to Commit Computer Intrusion. The government removed the paragraphs specifying the password cracking as the particular factual grounds, now basing this Count vaguely on the acts described in the [27 page] General Allegations Section of this Indictment.

Removing the direct CFAA charge does not make this indictment any less dangerous as an attack on journalism. These General Allegations include many normal journalistic practices, all essential to modern reporting: communications oversecure chat service, transferring files withcloud services, removing usernames and logs to protect the sources identity, and, now in the Second Superseding Indictment, having a crowd-sourced list of documents that the contributors believed would further public understanding. By removing the factual specificity, the Second Superseding Indictment only deepensthe chilling effect on journalists who use modern tools to report on matters of public interest.

Regardless of how you feel about Assange as a person, we should all be concerned about his prosecution. If found guilty, the harm wont be just to Assange himselfit will be to every journalist and news outlet that will face legal uncertainty for working with sources to publish leaked information. And a weakened press ultimately hurts the publics ability to access truthful and relevant information about those in power. And that is directly against the public interest.

Read the new charges against Assange.

[1] A superseding indictment means that the government is replacing its original charges with new, amended charges.

[2] The Most Wanted Leaks document was also submitted in Chelsea Mannings trial. https://www.sandiegouniontribune.com/sdut-wikileaks-most-wanted-list-admitted-in-trial-2013jul01-story.html

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Wikileaks-Hosted "Most Wanted Leaks" Reflects the Transparency Priorities of Public Contributors - EFF

Security Think Tank: Artificial intelligence will be no silver bullet for security – ComputerWeekly.com

By

Published: 03 Jul 2020

Undoubtedly, artificial intelligence (AI) is able to support organisations in tackling their threat landscape and the widening of vulnerabilities as criminals have become more sophisticated. However, AI is no silver bullet when it comes to protecting assets and organisations should be thinking about cyber augmentation, rather than just the automation of cyber security alone.

Areas where AI can currently be deployed include the training of a system to identify even the smallest behaviours of ransomware and malware attacks before it enters the system and then isolate them from that system.

Other examples include automated phishing and data theft detection which are extremely helpful as they involve a real-time response. Context-aware behavioural analytics are also interesting, offering the possibility to immediately spot a change in user behaviour which could signal an attack.

The above are all examples of where machine learning and AI can be useful. However, over-reliance and false assurance could present another problem: As AI improves at safeguarding assets, so too does it improve attacking them. As cutting-edge technologies are applied to improve security, cyber criminals are using the same innovations to get an edge over these defences.

Typical attacks can involve the gathering of information about a system or sabotaging an AI system by flooding it with requests.

Elsewhere, so-called deepfakes are proving a relatively new area of fraud that poses unprecedented challenges. We already know that cyber criminals can litter the web with fakes that can be almost impossible to distinguish real news from fake.

The consequences are such that many legislators and regulators are contemplating the establishment of rule and law to govern this phenomenon. For organisations, this means that deepfakes could lead to much more complex phishing in future, targeting employees by mimicking corporate writing styles or even individual writing style.

In a nutshell, AI can augment cyber security so long as organisations know its limitations and have a clear strategy focusing on the present while constantly looking at the evolving threat landscape.

Ivana Bartoletti is a cyber risk technical director at Deloitte and a founder of Women Leading in AI.

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Security Think Tank: Artificial intelligence will be no silver bullet for security - ComputerWeekly.com

Letters to the editor – The Economist

Jul 4th 2020

Artificial intelligence is an oxymoron (Technology quarterly, June 13th). Intelligence is an attribute of living things, and can best be defined as the use of information to further survival and reproduction. When a computer resists being switched off, or a robot worries about the future for its children, then, and only then, may intelligence flow.

I acknowledge Richard Suttons bitter lesson, that attempts to build human understanding into computers rarely work, although there is nothing new here. I was aware of the folly of anthropomorphism as an AI researcher in the mid-1980s. We learned to fly when we stopped emulating birds and studied lift. Meaning and knowledge dont result from symbolic representation; they relate directly to the visceral motives of survival and reproduction.

Great strides have been made in widening the applicability of algorithms, but as Mr Sutton says, this progress has been fuelled by Moores law. What we call AI is simply pattern discovery. Brilliant, transformative, and powerful, but just pattern discovery. Further progress is dependent on recognising this simple fact, and abandoning the fancy that intelligence can be disembodied from a living host.

ROB MACDONALDRichmond, North Yorkshire

I agree that machine learning is overhyped. Indeed, your claim that such techniques are loosely based on the structure of neurons in the brain is true of neural networks, but these are just one type among a wide array of different machine- learning methods. In fact, machine learning in some cases is no more than a rebranding of existing processes. If by machine learning we simply mean building a model using large amounts of data, then good old ordinary least squares (line of best fit) is a form of machine learning.

TOM ARMSTRONGToronto

The scope of your research into green investing was too narrow to condemn all financial services for their woolly thinking (Hotting up, June 20th). You restricted your analysis to microeconomic factors and to the ability of investors to engage with companies. It overlooked the bigger picture: investors can also shape the macro environment by structured engagement with the system itself.

For example, the data you used largely originated from the investor-led Carbon Disclosure Project (for which we hosted the first ever meeting, nearly two decades ago). In addition, investors have also helped shape sustainable-finance plans in Britain, the EU and UN. Investors also sit on the industry-led Taskforce on Climate-related Financial Disclosure, convened by the Financial Stability Board, which has proved effective.

It is critical that governments apply a meaningful carbon price. But if we are to move money at the pace and scale required to deal with climate risk, governments need to reconsider the entire architecture of markets. This means focusing a wide-angled climate lens on prudential regulation, listing rules, accounting standards, investor disclosure standards, valuation conventions and stewardship codes, as well as building on new interpretations of legal fiduciary duty. This work is done most effectively in partnership with market participants. Green-thinking investors can help.

STEVE WAYGOODChief responsible investment officerAviva InvestorsLondon

Estimating indirectly observable GDP in real time is indeed a hard job for macro-econometricians, or wonks, as you call us (Crisis measures, May 30th). Most of the components are either highly lagged, as your article mentioned, or altogether unobservable. But the textbook definition of GDP and its components wont be changing any time soon, as the reader is led to believe. Instead what has always and will continue to change are the proxy indicators used to estimate the estimate of GDP.

MICHAEL BOERMANWashington, DC

Reading Lexingtons account of his garden adventures (June 20th) brought back memories of my own experience with neighbours in Twinsburg, Ohio, in the late 1970s. They also objected to vegetables growing in our front yard (the only available space). We were doing it for the same reasons as Lexington: pleasure, fresh food to eat, and a learning experience for our young children. The neighbours, recently arrived into the suburban middle class, saw it as an affront. They no longer had to grow food for their table. They could buy it at the store and keep it in the deep freeze. Our garden, in their face every day, reminded them of their roots in Appalachian poverty. They called us hillbillies.

Arthur C. Clarke once wrote: Any sufficiently advanced technology is indistinguishable from magic. Our version read, Any sufficiently advanced lifestyle is indistinguishable from hillbillies.

PHILIP RAKITAPhiladelphia

Bartleby (May 30th) thinks the benefits of working from home will mean that employees will not want to return to the office. I am not sure that is the case for many people. My husband is lucky. He works for a company that already expected its staff to work remotely, so had the systems and habits in place. He has a spacious room to work in, with an adjustable chair, large monitor and a nice view. I do not work so he is not responsible for child care or home schooling.

Many people are working at makeshift workspaces which would make an occupational therapist cringe. Few will have a dedicated room for their home office, so their work invades their mental and physical space.

My husband has noticed that meetings are being set up both earlier and later in the day because there is an assumption that, as people are not commuting, it is fine to extend their work day. Colleagues book a half-hour meeting instead of dropping by someones desk to ask a quick question. Any benefit of not commuting is lost. My husband still struggles to finish in time to have dinner with our children. People with especially long commutes now have more time, but even that was a change of scenery and offered some incidental exercise.

JENNIFER ALLENLondon

As Bartleby pointed out, the impact of pandemic working conditions wont be limited to the current generation. By exacerbating these divides, will covid-19 completely guarantee a future dominated by the baby-Zoomers?

MALCOLM BEGGTokyo

The transition away from the physical office engenders a lackadaisical approach to the work day for many workers. It brings to mind Ignatius Reillys reasoning for his late start at the office from A Confederacy of Dunces:

I avoid that bleak first hour of the working day during which my still sluggish senses and body make every chore a penance. I find that in arriving later, the work which I do perform is of a much higher quality.

ROBERT MOGIELNICKIArlington, Virginia

This article appeared in the Letters section of the print edition under the headline "On artificial intelligence, green investing, GDP, gardens, working from home"

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Letters to the editor - The Economist

Litmus Partners With ProcessMiner to Offer Leading Edge Computing and Artificial Intelligence Platforms for Manufacturing – Embedded Computing Design

Litmus, the Intelligent Edge Computing Platform for IIoT, andProcessMiner, an artificialintelligence platform for manufacturing, announced a partnership to cross-promote their platforms to offer manufacturers a solution that includes real-time data collection, analysis, prediction, and process recommendations for continuous improvement.

Litmus provides the data intelligence platform to collect, normalize, and analyze high volumes of live data from industrial assets and make it available to OT and IT systems via edge-to-enterprise integration.The ProcessMiner program uses machine learning and sensor data to model, predict and prescribe process control recommendations for product quality improvement purposes.

One of the benefits of the Litmus platform is the bidirectional data and signal delivery capabilities for machines on the factory floor. The Litmus platform collects and normalizes data in real-time at the edge.

After Litmus delivers data to the ProcessMiner platform, the corrective action or recommendation signals can be sent back to the appropriate machine controller usingLitmus Edge. Those signals drive process control activities on the machine, delivering corrective action(s) in real-time.

Under terms of the agreement, both organizations will promote their respective platform capabilities throughout the manufacturing industry.

For more information, visit:www.processminer.com or http://www.litmus.io.

Tiera Oliver, edtorial intern for Embedded Computing Design, is responsible for web content edits as well as newsletter updates. She also assists in news content as far as constructing and editing stories. Before interning for ECD, Tiera had recently graduated from Northern Arizona University where she received her B.A. in journalism and political science and worked as a news reporter for the university's student led newspaper, The Lumberjack.

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Litmus Partners With ProcessMiner to Offer Leading Edge Computing and Artificial Intelligence Platforms for Manufacturing - Embedded Computing Design

How Artificial Intelligence will help Volkswagen boost production by 30 per cent – Hindustan Times

Volkswagen is looking to boost its production by as much as 30 per cent in next five years by using Artificial Intelligence at its facilities. The Industrial Computer Vision AI technology will help the carmaker in image recognition processes and speed up production time by reducing manual interventions

The process extracts information from optical data, such as the real environment at the plant, which it then evaluates using artificial intelligence (AI). The procedure is similar to the human capability of recognising, processing and analysing images. Volkswagen has been working with this technology for several years and is now intensifying its efforts.

The first application, which is to be rolled out via the new Volkswagen Industrial Cloud throughout the Group next year, is currently being tested by Porsche in Leipzig. The application functions as follows: several labels are attached to each vehicle produced, for example with vehicle information or notes on airbags. Many of these labels contain country-specific information and are written in the customers language. The proper application of these labels is ensured by Computer Vision.

At the Porsche plant in Leipzig, an employee on the production line now scans the vehicle identification number to ensure clear identification of the vehicle. Photos are taken of each label attached to the car. The app checks the images to ensure that the labels have the correct content and are written in the appropriate language on a real-time basis and provides the production line employee with feedback on whether everything is correct. This saves several minutes per vehicle.

Another solution currently being prepared for use throughout the Group comes from Ingolstadt, where Audi uses it for quality testing at the press shop. Cameras combined with software based on machine learning detect the finest cracks and defects in components.

Volkswagen has set up a team of about 60 Computer Vision experts for the further development of the technology and the evaluation of new utilisation possibilities. In addition to the use of the technology in production, Volkswagen plans applications along the entire value stream, for example in sales and after-sales. For development work on the optical procedure, Volkswagen is recruiting experts for this area in Berlin, Dresden, Munich and Wolfsburg. In addition, the Group continues to build up its skills in the fields of camera technology, machine learning and the operation of Computer Vision solutions.

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How Artificial Intelligence will help Volkswagen boost production by 30 per cent - Hindustan Times

Israel obtains the observer status to the Ad hoc Committee on Artificial Intelligence (CAHAI) – Council of Europe

On 1st of July 2020, the Committee of Ministers decided, in line with paragraph 8 of the Resolution CM/Res(2011)24, to give Israel the observer status totheAd hoc Committee on Artificial Intelligence (CAHAI).

Israel will, as from now, fully contribute to the work of the CAHAI. Its participation expands the reach of the CAHAI,which already includes Canada, the Holy See, Japan, Mexico and the United States of America among its observers.

The CAHAI is currently examining the feasibility of a legal framework for the development, design and application of artificial intelligence, based on the Council of Europe standards on human rights, democracy and the rule of law.

The CAHAI's work will be the result of a unique and close co-operation between numerous stakeholders from various sectors ranging from member and non-member States, but also representatives of civil society, research and academia, and the private sector.

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Israel obtains the observer status to the Ad hoc Committee on Artificial Intelligence (CAHAI) - Council of Europe

inHEART Raises $4.2 Million to Improve Treatments for Cardiac Arrhythmias With Medical Imaging, Artificial Intelligence and Numerical Simulations -…

PESSAC, France, July 2, 2020 /PRNewswire/ -- inHEART, providing a cloud-based medical image analysis solution for cardiac interventions on patients with arrhythmias, has closed a round of EUR 3.7 million led by Elaia. These funds will be used to accelerate commercial development in Europe, access the US market, and advance its technology leadership with continued development of AI and numerical simulations of cardiac electrical activity.

"We are very happy to have Elaia joining inHEART in this adventure not only for its financial support but also for the dynamism and the expertise of its team in developing startups in healthcare. Elaia and inHEART share the same ambition to create a major player in cardiac electrophysiology, a EUR 5 billion market with healthcare giants such as Johnson & Johnson, Abbott, Boston Scientific or Medtronic," said Jean-Marc Peyrat, CEO and co-founder of inHEART.

Cardiac arrhythmias, a public health issue without miracle solution

Heart rhythm disorders, notably as the cause of sudden cardiac death, is a major cause of morbidity in the world. Current treatment solutions for patients with arrhythmias are not optimal whether considering drugs, implantable devices or even catheter ablation procedures that are lengthy, complex and expensive. For instance, a repeat procedure is needed in 40% of patients with ventricular arrhythmias due to recurrence.

More timely and effective procedures

inHEART provides a cloud-based software solution that transforms preoperative medical images into a 3D digital twin of the patient's heart. This digital twin enables the cardiologist to better plan the procedure and also to assist in navigating instruments in the patient's heart, substantially reducing procedure duration and failure rates.

A compelling technology with exciting perspectives for the future

inHEART technology has been used on more than 2000 patients in 40 centers around the world and included in the latest international expert recommendations.

"I can't do without it anymore. My procedures are much simpler and faster. My patients directly benefit from this technology and their arrhythmias are less recurrent. Future will be even brighter with artificial intelligence that already allows us to very quickly process patient scans and that will enable tomorrow the prediction of patients at risk and the refinement of therapeutic strategies." commented Prof. Pierre Jas, cardiologist and co-founder of inHEART.

French academic excellence at the heart of the project

inHEART is a spin-off from IHU Liryc and Inria, two worldwide leading centers respectively in cardiac electrophysiology and digital science and technology. inHEART was founded by an experienced team of scientists and physicians, including Maxime Sermesant, expert in AI and cardiac modeling, Hubert Cochet, radiologist expert in cardiac imaging, and Pierre Jas, cardiologist who is a pioneer and international key opinion leader in cardiac catheter ablation.

"After more than ten years of multidisciplinary collaboration as only a few exist in the world between cardiologists, radiologists, engineers and researchers in computer science, we have a disruptive technology that answers a real clinical need," added Prof. Hubert Cochet, radiologist and co-founder of inHEART.

"inHEART is the perfect match between an advanced technology from Inria and IHU Liryc, known as a center of excellence in cardiac electrophysiology, all of it coordinated by experts who we are glad to follow in this beautiful adventure. Their computational solution to model the heart in 3D revolutionizes cardiac catheter ablation procedures and is already deployed internationally with excellent clinical feedbacks," saidSamantha Jrusalmy, partner at Elaia.

About inHEART

inHEART is a spin-off from IHU Liryc and Inria, two top-tier research centers respectively in cardiac electrophysiology and digital science and technology, that develops software solutions for medical image analysis and cardiac modeling in heart rhythm disorders. inHEART vision is to make the bridge between radiology and cardiology to become a worldwide leader in image-guided diagnosis, therapy planning and navigation software solutions for heart rhythm disorders.

Learn more: http://www.inheart.fr

About Elaia

Elaia is a European top-tier VC firm with a strong tech DNA. We back tech disruptors with global ambition from early stage to growth development. For the past 17 years, our commitment has been to deliver high performance with values. We are proud to have been an active partner in over 70 startups including success stories such as Criteo (Nasdaq), Orchestra Networks (acquired by Tibco), Sigfox, Teads (acquired by Altice), Mirakl and Shift Technology.

Learn more: http://www.elaia.com

Contact:Jean-Marc Peyrat, [emailprotected] +33 (0) 5 35 38 19 72

SOURCE inHEART

https://www.inheart.fr/

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inHEART Raises $4.2 Million to Improve Treatments for Cardiac Arrhythmias With Medical Imaging, Artificial Intelligence and Numerical Simulations -...

Artificial Intelligence in Transportation Industry Market Trends, Growth, Scope, Size, Overall Analysis and Forecast by 2025 – CueReport

A new research study has been presented offering a comprehensive analysis on the Global Artificial Intelligence in Transportation Industry market where user can benefit from the complete market research report with all the required useful information about this market. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. The report discusses all major Artificial Intelligence in Transportation Industry market aspects with expert opinion on current market status along with historic data. Artificial Intelligence in Transportation Industry Industry report is a detailed study on the growth, investment opportunities, market statistics, growing competition analysis, major key players, industry facts, revenues, market shares, business strategies, top regions, demand, and developments.

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Artificial Intelligence in Transportation Industry Market Trends, Growth, Scope, Size, Overall Analysis and Forecast by 2025 - CueReport

Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery – TechCrunch

Menten AI has an impressive founding team and a pitch that combines some of the hottest trends in tech to pursue one of the biggest problems in healthcare new drug discovery. The company is also $4 million richer with a seed investment from firms including Uncork Capital and Khosla Ventures to build out its business.

Menten AIs pitch to investors was the combination of quantum computing and machine learning to discover new drugs that sit between small molecules and large biologics, according to the companys co-founder Hans Melo.

A graduate of the Y Combinator accelerator, which also participated in the round alongside Social Impact Capital*, Menten AI looks to design proteins from scratch. Its a heavier lift than some might expect, because, as Melo said in an interview, it takes a lot of work to make an actual drug.

Menten AI is working with peptides, which are strings of amino acid chains similar to proteins that have the potential to slow aging, reduce inflammation and get rid of pathogens in the body.

As a drug modality [peptides] are quite new, says Melo. Until recently it was really hard to design them computationally and people tried to focus on genetically modifying them.

Peptides have the benefit of getting through membranes and into cells where they can combine with targets that are too large for small molecules, according to Melo.

Most drug targets are not addressable with either small molecules or biologics, according to Melo, which means theres a huge untapped potential market for peptide therapies.

Menten AI is already working on a COVID-19 therapeutic, although the companys young chief executive declined to disclose too many details about it. Another area of interest is in neurological disorders, where the founding team members have some expertise.

Image of peptide molecules. Image Courtesy: D-Wave

While Menten AIs targets are interesting, the approach that the company is taking, using quantum computing to potentially drive down the cost and accelerate the time to market, is equally compelling for investors.

Its also unproven. Right now, there isnt a quantum advantage to using the novel computing technology versus traditional computing. Something that Melo freely admits.

Were not claiming a quantum advantage, but were not claiming a quantum disadvantage, is the way the young entrepreneur puts it. We have come up with a different way of solving the problem that may scale better. We havent proven an advantage.

Still, the company is an early indicator of the kinds of services quantum computing could offer, and its with that in mind that Menten AI partnered with some of the leading independent quantum computing companies, D-Wave and Rigetti Computing, to work on applications of their technology.

The emphasis on quantum computing also differentiates it from larger publicly traded competitors like Schrdinger and Codexis.

So does the pedigree of its founding team, according to Uncork Capital investor, Jeff Clavier. Its really the unique team that they formed, Clavier said of his decision to invest in the early-stage company. Theres Hans the CEO who is more on the quantum side; theres Tamas [Gorbe] on the bio side and theres Vikram [Mulligan] who developed the research. Its kind of a unique fantastic team that came together to work on the opportunity.

Clavier has also acknowledged the possibility that it might not work.

Can they really produce anything interesting at the end? he asked. Its still an early-stage company and we may fall flat on our face or they may come up with really new ways to make new peptides.

Its probably not a bad idea to take a bet on Melo, who worked with Mulligan, a researcher from the Flatiron Institute focused on computational biology, to produce some of the early research into the creation of new peptides using D-Waves quantum computing.

Novel peptide structures created using D-Waves quantum computers. Image Courtesy: D-Wave

While Melo and Mulligan were the initial researchers working on the technology that would become Menten AI, Gorbe was added to the founding team to get the company some exposure into the world of chemistry and enzymatic applications for its new virtual protein manufacturing technology.

The gamble paid off in the form of pilot projects (also undisclosed) that focus on the development of enzymes for agricultural applications and pharmaceuticals.

At the end of the day what theyre doing is theyre using advanced computing to figure out what is the optimal placement of those clinical compounds in a way that is less based on those sensitive tests and more bound on those theories, said Clavier.

*This post was updated to add that Social Impact Capital invested in the round. Khosla, Social Impact, and Uncork each invested $1 million into Menten AI.

Excerpt from:
Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery - TechCrunch