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Watchlist - gelistete KI/ AI Firmen weltweit - Die letzten 30 Beiträge



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Der australische Chefwissenschaftler Alan Finkel sagt, dass Anbieter künstlicher Intelligenz (KI) das Vertrauen der Öffentlichkeit gewinnen sollten, indem sie sich auf eine Reihe von ethischen Standards einigen.
Dr. Finkel schlägt vor, dass ein ähnliches System wie die Fairtrade-Zertifizierung für KI-Organisationen und -Produkte gelten sollte.
Eine solche Politik könnte sich auf die etwa zwei Dutzend ASX-Aktien auswirken, die mit künstlicher Intelligenz zu tun haben.

"Das Wort im Moment in den technischen Sektoren ist verantwortlich - aber man muss sich fragen, wer die Standards definiert oder überprüft und ob sie die Öffentlichkeit besser fühlen lassen", fragte Dr. Finkel am Freitag auf einem Forum des Committee for Economic Development of Australia in Sydney.
Dr. Finkel schlug ein "Turing Certificate" vor - benannt nach Alan Turing, einem der frühen Entwickler der Informatik.
KI-Hersteller würden eine Zertifizierung beantragen. Sobald sie die Audit-Anforderungen erfüllten, konnten sie den Turing-Stempel anzeigen.
"Wir würden erwarten, dass ein Ministerium den Anbieter eines Dienstes überprüft, der zum Beispiel Sozialarbeiter durch Algorithmen ersetzt, die die Wahrscheinlichkeit vorhersagen, dass ein bestimmtes Kind gewalttätig wird", sagte Dr. Finkel.
"Aber wie viele Verbraucher werden das Wissen oder die Zeit haben, jede einzelne KI, der sie begegnen, zu überprüfen?
"Was wir brauchen, ist ein vereinbarter Standard und ein klares Siegel - damit wir kein Expertenwissen brauchen, um ein Produkt und ein Unternehmen auszuwählen."
Der vorgeschlagene Standard kommt nach der neuesten Version von Google Duplex - Software, die Anrufe und Termine im Namen der Nutzer machen kann.
Nach seiner Veröffentlichung letzte Woche wurden Fragen über die Ethik eines Roboters gestellt, der Menschen "täuscht", damit sie denken, sie würden mit einem Menschen sprechen.
Bis heute gibt es keinen Weltstandard in der KI-Ethik.
ASX-Exposition
Von der Optimierung der Logistik oder der Aufdeckung von Betrug, über das Verfassen von Kunstwerken bis hin zu Recherchen und Übersetzungen: AI tech wird für eine Vielzahl von Anwendungen entwickelt.

Es gibt nur wenige reine KI-Unternehmen - wie Flamingo AI (ASX:FGO), BrainChip (ASX:BRN) und Open DNA (ASX:OPN).

Aber es gibt 25 ASX-notierte Unternehmen, die ein gewisses Maß an künstlicher Intelligenz anbieten.
Spectur (ASX:SP3) arbeitet daran, Objekte und Bedrohungen von seinen Sicherheitskameras zu unterscheiden, während Resonance Health (ASX:RHT) Bluttests durchführt, um seltene Krankheiten zu identifizieren.

Übersetzt mit www.DeepL.com/Translator
Elon, quote: We "want to make ALL people look like him"


https://stockhead.com.au/tech/australias-chief-scientist-pro…

"Australian chief scientist Alan Finkel says artificial intelligence (AI) providers should earn the public’s trust by agreeing to a set of ethical standards.

Dr Finkel suggests a system similar to the Fairtrade coffee certification should would apply to AI organisations and products.

Such a policy could impact the two dozen or so ASX stocks involved with Artificial Intelligence.

>> Such Scroll down for a list of ASX stocks with exposure to AI

“The word at the moment in the tech sectors is responsible — but you have to ask who is defining or auditing the standards and are they making the public feeling any better,” Dr Finkel asked at a Committee for Economic Development of Australia forum in Sydney on Friday.

Dr Finkel proposed a “Turing Certificate” — named in honour of Alan Turing, one of the early developers of computer science.

AI makers would apply for certification. Once they met the auditing requirements they could display the Turing Stamp.

“We would expect a government department to vet the provider of a service that, for example, replaced social workers with algorithms that predict the likelihood that a particular child will be violent,” Dr Finkel said.

“But how many consumers are going to have the knowledge or the time to individually vet every AI they encounter?

“What we need is an agreed standard and a clear seal — so that we don’t need expert knowledge to choose a product and company.”

The proposed standard comes after Google’s latest release of Duplex — software that can make phone calls and appointments on behalf of users.

After its release last week questions were raised about the ethics of a robot “deceiving” people into thinking they were speaking to a human.

To date there is no world standard in AI ethics.

ASX exposure

From optimising logistics or detecting fraud, to composing art, conducting research, providing translations: AI tech is being developed for a variety of applications.

There are only a few pure play AI companies — such as Flamingo AI (ASX:FGO), BrainChip (ASX:BRN) and Open DNA (ASX:OPN).

But there are 25 ASX-listed companies offering some level of exposure to artificial intelligence.

Spectur (ASX:SP3) is working on distinguishing between objects and threats from its security cameras to while Resonance Health (ASX:RHT) sorts through blood tests to identify rare diseases.

Here is a list of ASX stocks with exposure to AI:

ASX Code COMPANY 6 MONTH PRICE CHANGE Price May 18 MARKET CAP

4DS 4DS MEMORY -31% 0.06 $53,903,616
ALC ALCIDION GROUP -15% 0.06 $30,388,998
BID BIDENERGY -221% 0.05 $32,589,804
BRC BRAIN RESOURCE 43% 0.04 $21,250,394
BRN BRAINCHIP HOLDINGS 30% 0.14 $135,671,264
BTC BTC HEALTH -3% 0.20 $26,059,306
CAJ CAPITOL HEALTH -8% 0.29 $229,699,792
CGS COGSTATE 17% 0.81 $92,631,744
CM8 CROWD MOBILE 59% 0.07 $14,965,507
CMP COMPUMEDICS -6% 0.38 $66,436,104
FGO FLAMINGO AI 40% 0.05 $48,930,844
IPD IMPEDIMED 43% 0.55 $207,970,464
LBT LBT INNOVATIONS 55% 0.13 $25,115,878
LNU LINIUS TECHNOLOGIES -68% 0.08 $73,927,152
M7T MACH7 TECHNOLOGIES -30% 0.24 $30,292,658
MDR MEDADVISOR 17% 0.04 $52,717,120
MEB MEDIBIO 51% 0.18 $34,446,808
ONE ONEVIEW HEALTHCARE PLC-CDI 13% 1.91 $125,028,208
OPN OPENDNA 32% 0.07 $7,250,765
RAP RESAPP HEALTH -108% 0.15 $100,503,536
RHT RESONANCE HEALTH -23% 0.03 $11,269,932
SP3 SPECTUR 12% 0.33 $17,150,000
UTR ULTRACHARGE -9% 0.03 $19,515,642
VHT VOLPARA HEALTH TECHNOLOGIES -3% 0.71 $121,064,312
WBT WEEBIT NANO -44% 0.07 $98,111,456
WHK WHITEHAWK -50% 0.10 $6,950,250
YOJ YOJEE 23% 0.12 $92,092,800 "

- AI’s leading countries are unlikely to let another player muscle in on their turf.
The plan: A task force established by the Indian government has released a report on artificial intelligence that calls for the country to boost investment and focus on deploying the technology in areas including manufacturing and health care.
The challenge: India is on course to become the third-largest economy (by GDP) within the next few years. But the country may find it hard to kick-start its own AI revolution. India is playing catch-up with China and the West in terms of technology, research prowess, investment, and—crucially—data.
Power balance: The countries that already hold an AI advantage are keen to export the technology—and use data from users in developing nations to increase their lead. This could exacerbate international power dynamics, separating countries into the AI haves and have-nots. -
http://dipp.nic.in/sites/default/files/Report_of_Task_Force_…
http://dipp.nic.in/whats-new/report-task-force-artificial-in…
Chinese Government is adding Artificial Intelligence into the high school curriculum, unveils mandated high school AI textbook


https://techstartups.com/2018/05/08/the-chinese-government-i…
Europe ALL-in on AI

http://www.reuters.com/article/us-britain-technology-ai/brit…
http://www.bloomberg.com/news/articles/2018-04-25/u-k-announ…
http://www.technologyreview.com/s/610379/heres-how-the-us-ne…
- The huge state investment is in stark contrast to America’s current AI policies.
The news: The UK has announced that it’s pouring $1.4 billion into British AI. Meanwhile, the European Commission has said that it wants to build a network of hundreds of research centers specializing in machine learning and robotics.
Why it matters: Europe lags America and China in building AI. The new moves are an attempt to play catch up—by training new researchers, retaining top talent, and creating an environment in which machine learning startups can prosper.
America, take note: Despite being a leader in the field, the US currently lacks formal policies to help foster AI research. There’s plenty it could do to change that. -
FIRST model that can replicate human performance on auditory tasks, such as identifying a musical genre


http://news.mit.edu/2018/machine-learning-system-processes-s…
Antwort auf Beitrag Nr.: 57.599.319 von Popeye82 am 22.04.18 00:08:03"Founded in 2014, Prophesee has raised $37 million so far to develop a “neuromorphic vision system” that mimics the human eye and brain. Covered in our recent article “Watch for These 8 AI Startups Doing Computer Vision”, Prophesee’s technology provides an output equivalent to more than 10,000 frames per second, even in extreme lighting conditions, and manages to do this with high power efficiency and less data processing. That’s 10-100X better than the human eye, depending on who you ask. This efficiency gain is due to how their AI processes the images it sees. It looks only at changes, as opposed to taking thousands of pictures and comparing each one. Use cases include the following:




Using this technology, product designers can add multiple sensors without losing battery life and computational power, making Prophesee an ideal platform for connected, autonomous, and mobile applications in fields like automotive, robotics or industrial automation. Prophesee is currently evaluating the idea of implementing the same event-driven approach to radar and LiDAR outputs as well. "
http://www.prophesee.ai/
Dieses Bild ist nicht SSL-verschlüsselt: http://valustrat.com/wp-content/uploads/AI-Healthcare-02.png

http://valustrat.com/can-ai-transform-healthcare-sector-uae

"How can AI transform the healthcare sector, in UAE???????????????????????????????????
16 February 2018

Healthcare
Insight
Technology

AI has led to drastic changes across sectors. In the healthcare sector, medical advances include breakthrough technologies such as:

- 3D printing to create human body parts, reproduce blood vessels and form skin cells
- Artificial eyes that enable patients to regain vision
- Implanted remote controlled devices that send electrical pulses to reduce the impact of headaches
- Artificial pancreas that measure blood glucose using a sensor and deliver appropriate amounts of insulin


On one hand, WHO has reported that the prevalence of chronic disease is expected to rise by 57% by 2020. On the other hand, advancements in detecting and diagnosing diseases are expected to minimize the cost of treating chronic diseases. These innovative technologies include genomics, proteomics, cell biology, stem cell and organ therapy, and minimally invasive and robotic surgery. Most importantly, majority of these new advancements are likely to be fuelled by Artificial Intelligence (AI).


AI in the global healthcare market

AI is revolutionizing the healthcare industry at lightning speed. Previously, technology in healthcare was limited to algorithms and tools to assist humans. Now, however, AI can augment human activity. From imaging to diagnosis, AI is able to do it all. Although this provides a wealth of opportunities, AI advancements require large investments. Research by Accenture does, however, suggest that the latter will generate annual savings of $150 billion for the US healthcare industry by 2026.





As per a 2016 study by Frost & Sullivan, the market for AI in healthcare is projected to reach $6.6 billion by 2021, representing a 40% compound annual growth rate. The report goes on to say that clinical support from AI will strengthen medical imaging diagnosis processes and using AI solutions for hospital workflows will enhance patient care delivery. Frost & Sullivan also reports that AI has the potential to improve outcomes by 30 to 40 percent while reducing treatment costs by as much as 50%. In addition, PwC research has estimated savings of up to 172 billion euros over the next 10 years in prevention of childhood obesity, diagnosis of dementia and diagnosis and treatment of breast cancer through AI adoption in the healthcare sector.







The rapid growth of healthcare AI is apparent when comparing investment in the industry over the years. In 2011, less than 10 healthcare start-ups received major investment. In 2016, this number rose to almost 70. The latter comes as no surprise as CB Insights regards healthcare as the most popular area of investment within AI. The figures are likely to increase as the industry continues to grow with the help of research and innovation.





Adoption of AI in UAE’s healthcare sector

UAE stands at the forefront of AI ahttp://valustrat.com/wp-content/uploads/AI-Healthcare-05-768x608.pngdoption and is an avid believer in AI-based economy. The country recently launched their first AI strategy termed “UAE Artificial Intelligence Strategy 2031” – the first of its kind in the region. The strategy aims to bring AI tools and technology to various sectors including healthcare. The official website mentions that AI will be used to minimise chronic and dangerous diseases.

PwC research suggests that two-thirds of the Middle East would be open to the idea of replacing human doctors with AI. The report also states that an insufficient workforce and a young population make the Middle East the ideal region for AI and robotics.





Keeping in line with the UAE’s AI strategy, Dubai Health Authority (DHA) is expected to launch the first radiology AI algorithm as part of Dubai Health Strategy 2021. The initiative will expedite the processing time for chest x-ray scans which are required for those seeking residency in the country.

AI will REdefine healthcare

As the healthcare industry undergoes a metamorphosis, there are several ways in which AI can be incorporated:

1) Robotic surgery

Robot-assisted surgery offers the greatest value potential in AI-based healthcare. Cognitive robotics can integrate information from pre-op medical records with real-time operating metrics to physically guide and enhance the physician’s instrument precision. The technology creates a database of surgical data and improves techniques, allowing it to improve outcomes. Machine learning will continue to improve results over time.

Mazor Robotics, based in the US, uses Artificial Intelligence to aid both minimally invasive surgical operations and complex surgery. Using their technology, a patient’s CT scan is uploaded onto a 3D computerized planning system to indicate where a surgeon should place implants—all before the patient even arrives. Mazor’s spinal surgery robot arm guides an orthopaedic surgeon’s instruments, allowing high precision.

2) Disease identification

Medical Artificial Intelligence breakthroughs have led to improved accuracy in the early detection of life-threatening diseases such as cancer. The American Cancer Society reports that 12.1 million mammograms are performed annually in the US, but a large percentage of these mammograms produce false results, with 20 percent of healthy women being told they have cancer. AI enables the review and translation of mammograms 30 times faster with 99% accuracy, making the procedure more reliable. Furthermore, AI powered consumer wearables and other medical devices are also being applied to oversee early-stage heart disease, enabling doctors and other caregivers to better monitor and detect potentially life-threatening illnesses at earlier stages. CardioDiagnostics has developed a device that is able to remotely monitor heart irregularities of the wearer and is used to improve cardiac monitoring and rhythm management.

Artificial Intelligence is also identified as a huge priority for tech giant Intel, as the company is active in many areas as of healthcare ranging from predictive clinical analytics to imaging Intel helped Sharp HealthCare in San Diego build a predictive model with 80 percent predictability of patient decline within an hour of an event happening. This advance notice enables strategically placed medical emergency teams to be located at key areas in hospitals in order to intervene before an event becomes life-threatening.

3) AI chatbot

Hospitals and clinics require a great deal of resources to manage patient inquiries via phone, e-mail, or live chat. However, automated AI chatbots can enable these organizations to save money and improve efficiency. Research suggests that by 2022, chatbots could save organizations $8 billion per year globally.





In April 2017, UK-based company Babylon Health raised close to $60 million. The company developed an app that assesses health with the help of an AI chatbot on your smartphone, after which it arranges virtual consultations with doctors if necessary. Around the same time, Berlin-based digital health startup Ada announced its entrance into the AI chatbot space.

AI chatbots in healthcare have been helping consumers select a benefit plan, providing customer service responses, helping triage symptoms, and guiding consumers to resources.

4) Data analytics powered decisions

A study by TechEmergence found that over 50% of respondents believe that “AI will be ubiquitous in healthcare by 2025.” The latter seems logical, considering that the healthcare industry collects vast amount of data which is challenging for physicians to assess. AI, however, can analyse large amounts of data efficiently using advanced algorithms to suggest treatment options. The more data points the technology has to work with, such as patient history, past treatment options, and available medications, the better conclusions it can make.

Google has launched an initiative called DeepMind Health, which creates partnerships between doctors, researchers and patients to identify and solve real healthcare problems. The technology utilises machine learning and systems neuroscience to build algorithms capable of mimicking the human brain. Data Diagnostics’ Quanum solution is another example that aims to assist decision making through AI-driven data analytics. Their objective is to help healthcare professionals achieve better clinical and financial outcomes, by providing the right data at the right point (point of care). Their system crawl data, analyses and projects outcomes that helps professionals identify gaps in quality, optimize test utilization, and help prevent patients’ conditions from worsening. Similarly, Microsoft is working on InnerEye – AI-powered computer vision designed to dramatically improve the productivity of radiologists.

5) Efficiency in drug research

The right medication makes a lot of difference for curing a disease, be it a viral infection or a chronic disease – the road to recovery is not as long as the road to discover the right medication. According to the

Drug research and discovery is a recent yet important application of AI in the healthcare sector. Directing the latest advances in Artificial Intelligence to streamline the drug discovery and drug repurposing processes possesses the ability to reduce both the time to market for new drugs and their costs. Pharma.AI, the Pharmaceutical Artificial Intelligence division of bioinformatics company Insilico Medicine, used AI was u to scan existing medicines that could be redesigned to fight Ebola. In one day, the program found two medications capable of fighting Ebola – as opposed to months or years that would be required for conventional research.

However, medical research is not limited to finding new drugs to fight disease. An important part of medical research studies the disease itself, in order to help prevent it from spreading further. Canadian start-up Meta uses AI to quickly read and comprehend scientific papers and then provide insights to researchers.

6) Virtual assistants

Virtual nursing assistants provide another avenue for application of AI in healthcare. AI solutions remotely assess a patient’s symptoms and deliver alerts to clinicians only when patient care is needed, reducing unnecessary hospital visits, and thereby lessening the burden on medical professionals. The latter saves 20 percent of a nurse’s time. Nuance Communications unveiled an artificial virtual assistant specifically for patients and healthcare providers. The company has built artificial intelligence virtual assistants for consumer and automotive brands including American Airlines, Amtrak, Audi, Barclay’s, BMW, Citi, Delta, Domino’s, FedEx, Ford, and GM.

Nuance’s state-of-the-art healthcare virtual assistant uses voice recognition technology, voice biometrics and text-to-speech, Electronic Health Record (HER) integrations and strategic health IT relationships to create a smart speaker designed specifically for healthcare cases.

7) Effective treatment

AI is enabling clinicians take a more comprehensive approach for disease management, better coordinate care plans and help patients to better manage and comply with their long-term treatment programmes. AiCure has created an application to monitor patients with long-term conditions and help them manage medication intake. The application uses visual recognition to identify the patient’s face, the medication they are taking, and confirm ingestion. The data is then sent back to the care provider or to a pharmaceutical company conducting a clinical trial. Another example is of a nursing-care robot, RoBear, that can lift and move patients in and out of bed into wheelchair, help those who need assistance to stand, and even turn patients in bed to prevent bedsores. Such transformation in delivery of patient care services helps in increasing the effectiveness of the treatment."
Wer wissen will, was momentan so abgeht in diesem Bereich der sollte mal in den Two Minute Papers Channel reinschauen.
https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg
Dort werden die neusten AI Papers in kurzen Videos vorgestellt.

-ASX Investment video: How can you invest in emerging technologies? Kanish Chugh Associate Director of Sales ETF Securities teaches us how ETFs are a tool for getting exposure to sectors like Robotics and Artificial Intelligence. For more visit www.asx.com.au -
we’re ALL going to face a (very) challenging next fifteen -ooooor twenty- years







- 💯 “We are here to create”. Wonderful interview with Kai-Fu Lee, pioneering AI researcher and head of one of China’s Top VC firms. He’s been frank about the risks: “We’re all going to face a very challenging next fifteen or twenty years, when half of the jobs are going to be replaced by machines. Humans have never seen this scale of massive job decimation” and dismissive of the notion of the singularity which isn’t based on any “engineering reality”................................-
http://www.edge.org/conversation/kai_fu_lee-we-are-here-to-c…


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