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IBM's CodeNet dataset can teach AI to translate computer languages

Engadget

AI and machine learning systems have become increasingly competent in recent years, capable of not just understanding the written word but writing it as well. But while these artificial intelligences have nearly mastered the English language, they have yet to become fluent in the language of computers -- that is, until now. IBM announced during its Think 2021 conference on Monday that its researchers have crafted a Rosetta Stone for programming code. Over the past decade, advancements in AI have mainly been "driven by deep neural networks, and even that, it was driven by three major factors: data with the availability of large data sets for training, innovations in new algorithms, and the massive acceleration of faster and faster compute hardware driven by GPUs," Ruchir Puri, IBM Fellow and Chief Scientist at IBM Research, said during his Think 2021 presentation, likening the new data set to the venerated ImageNet, which has spawned the recent computer vision land rush. "Software is eating the world," Marc Andreessen wrote in 2011.


Budget 2021: Drones and aviation tech gets AU$32 million

ZDNet

Ahead of the 2021-22 Budget being handed down on Tuesday, the federal government has announced a new digital economy strategy, which it described as an investment into the settings, infrastructure, and incentives to grow Australia's digital economy. The strategy, costing just shy of AU$1 billion, is set to include work on "emerging aviation technologies". The government will be making a two-year, AU$32.6 million investment in an Emerging Aviation Technology Partnerships program to "support the use of emerging aviation technologies to address priority community, mobility, and cargo needs in regional Australia". The program will see the government partner with industry to look into tech such as electric engines, drones, and electric vertical take-off and landing aircraft. "This program will support the digital transformation of Australian businesses, increase business efficiency, and reduce carbon emissions through new technology," the government said.


Microsoft Releases Open-Source Tool To Test The Security Of AI Systems

#artificialintelligence

Artificial intelligence systems take inputs in the form of visuals, audios, texts, etc. As a result, filtering, handling, and detecting malicious inputs and behaviours have become more complicated. Cybersecurity is one of the top priorities of companies worldwide. The increase in the number of AI Security papers from just 617 in 2018 to over 1500 in 2020 (an increase of almost 143% as per an Adversa report) is a testament to the growing importance of cybersecurity. Microsoft has recently announced the release of Counterfit – a tool to test the security of AI systems – as an open-source project.


Council Post: Four Steps To Data Democratization With Artificial Intelligence

#artificialintelligence

Data democratization should be a top concern for every company moving forward. We're approaching a point where the problem of too much data (and too few insights) can't be ignored any longer. Companies are generating more customer, employee and operational data than ever. But that data remains underleveraged and, in some cases, a liability. According to a report from Splunk, 55% of the data in every organization is "dark data," or "all the unknown and untapped data across your organization, generated by systems, devices and interactions."


When Art And Artificial Intelligence Beautifully Collide - AI Summary

#artificialintelligence

"I've always considered myself an artist, but I was never good enough to make money with it," BEN Group CEO Ricky Ray Butler sheepishly admitted near the end of his Social Media Week session on Thursday. "I've always considered myself an artist, but I was never good enough to make money with it," BEN Group CEO Ricky Ray Butler sheepishly admitted near the end of his Social Media Week session on Thursday.


Greek Doctor Uses Breakthrough AI to Improve Life of Cancer Patients

#artificialintelligence

Dr. Peter Metrakos is the Greek leader of a research team working on improving survival rates of cancer patients by using breakthrough artificial intelligence (AI) technology. The team of doctors, based in Canada, are working to help patients suffering from colorectal cancer survive an incredibly deadly disease, which as it stands has a five-year survival rate of only 12%. The research team is working with the Research Institute of the McGill University Health Centre (RI-MUHC) to develop personalized medicine in the colorectal cancer field. Current research is based on Metrakos' 2016 research into colorectal cancer cells' relationship to blood vessels. The Greek doctor and his team will use liquid biopsy techniques to separate constituent parts of the cancer patient's blood, in order to understand which are related to the cancer.


New RUSI Project on Artificial Intelligence and Financial Crime

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RUSI's Centre for Financial Crime and Security Studies is launching a one-year study of policy and operational considerations related to the impact of artificial intelligence (AI) on financial crime. The project will explore the opportunities that AI offers for better financial crime detection, as well as the threats posed by the abuse of AI. It will form part of Financial Crime 2.0, a RUSI research programme focused on the intersection of new technology and financial crime. This latest workstream of the Financial Crime 2.0 programme is sponsored by its strategic partner, LexisNexis Risk Solutions. Tom Keatinge, Director of RUSI's Centre for Financial Crime and Security Studies, said: 'We are delighted to continue our Financial Crime 2.0 work, which delves into some of the most exciting, promising and topical issues facing the financial crime expert community'.


EETimes - Will Machines Ever Fully Understand What They Are Seeing?

#artificialintelligence

Embedded vision technologies are giving machines the power of sight, but today's systems still fall short of understanding all the nuances of an image. An approach used for natural language processing could address that. Attention-based neural networks, particularly transformer networks, have revolutionized natural language processing (NLP), giving machines a better understanding of language than ever before. This technique, which is designed to mimic cognitive processes by giving an artificial neural network an idea of history or context, has produced much more sophisticated AI agents than older approaches that also employ memory, such as long short-term memory (LSTM) and recurrent neural networks (RNNs). NLP now has a deeper level of understanding of the questions or prompts it is fed and can create long pieces of text in response that are often indistinguishable from what a human might write.


Latest Tesla News Contradicts Musk's Claim; Could Be Bad News For Self-Driving Car Fans

International Business Times

A Tesla engineer has informed California regulators that the electric vehicle company might not have a fully self-driving vehicle ready for this year. The information comes from documents dated May 6 exchanged between the California Department of Motor Vehicles and several Tesla employees, including CJ Moore, the company's autopilot engineer. The documents were released by the legal transparency group PlainSite, which got them under the Freedom of Information Act (FOIA). In January, Tesla chief Elon Musk said he was "highly confident the car will be able to drive itself with reliability in excess of human this year." "Tesla is at Level 2 currently. The ratio of driver interaction would need to be in the magnitude of 1 or 2 million miles per driver interaction to move into higher levels of automation," California DMV noted in the memo.


Mayo Clinic AI algorithm proves effective at spotting early-stage heart disease in routine EKG data

#artificialintelligence

It still remains to be seen whether the sci-fi genre is correct and artificial intelligence will one day rise up against the human race, but in the meantime, AI just might save your life. An algorithm developed by the Mayo Clinic can significantly increase the number of cases of low ejection fraction caught in its earliest stages, when it's still most treatable, according to a study published this month in Nature Medicine. The condition, in which the heart is unable to pump enough blood from its chamber with each contraction, is associated with cardiomyopathy and heart failure and is often symptomless in its early stages. Traditionally, the only way to diagnose low ejection fraction is with the use of an echocardiogram, a time-consuming and expensive cardiac ultrasound. The Mayo Clinic's AI algorithm, however, can screen for low ejection fraction in a standard 12-lead electrocardiogram (EKG) reading, which is a much faster and more readily available tool. In the study, more than 22,600 patients received an EKG as part of their usual primary care checkups, then were randomly assigned to have their results analyzed by the AI or by a physician as usual.