A new technology using artificial intelligence detects depressive language in social media posts more accurately than current systems and uses less data to do it. The technology, which was presented during the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, is the first of its kind to show that, to more accurately detect depressive language, small, high-quality data sets can be applied to deep learning, a commonly used AI approach that is typically data intensive. Previous psycholinguistic research has shown that the words we use in interaction with others on a daily basis are a good indicator of our mental and emotional state. Past attempts to apply deep learning techniques to detect and monitor depression in social media posts have been shown to be tedious and expensive, explained Nawshad Farruque, a University of Alberta PhD student in computing science who is leading the new study. He explained that a Twitter post saying that somebody is depressed because Netflix is down isn't really expressing depression, so someone would need to "explain" this to the algorithm.
The financial sector has been among the fastest adaptors of AI algorithms, which are well suited to the industry's complex and fast-moving environment. At last week's Re•Work AI in Finance Conference in New York, researchers and engineers from banks and academia alike shared their thoughts on current AI research and applications in the finance world. IBM has built a blockchain-based infrastructure for federated AI, enabling institutions to leverage transaction data across branches to improve decision making. Alan King is an IBM AI and Blockchain Solutions engineer. In his presentation King spoke of the advantages of using federated AI on transaction data.
The News: Oracle is pushing the envelope on what NVIDIA GPUs can do in the cloud. Find out how, next week at Oracle OpenWorld and Code One in San Francisco, where NVIDIA and Oracle will showcase their growing collaboration to bring AI and GPU-accelerated applications to the enterprise. Integrating CUDA-X libraries into GraalVM applications, enhancing conversational AI with Oracle Digital Assistant, and accelerating data science pipelines through the Oracle Cloud Infrastructure Data Science service are a few examples of how enterprise customers and developers worldwide will benefit from GPU-accelerated computing. The companies first teamed up by bringing bare metal GPUs to the public cloud through Oracle Cloud Infrastructure, fueling innovation across a broad range of industries. Engineers, developers, data scientists and researchers are using these instances to power visualization, AI/machine learning, big data, database and HPC workloads.
Seeking to fight future wars with indigenous artificial intelligence (AI), a top Army officer on Friday said, India will soon catch up with the world in terms of advancements in the modern warfare technology and AI is going to be the next most disruptive technology in military affairs. Indicating departure from the conventional war techniques, South Western Army Commander Lieutenant General Alok Kler said, "It's time to incorporate assisted decision making in future warfare to be more efficient and more accurate." "AI is the next most disruptive technology in the revolution of Military Affairs as it is going to make the equipment more lethal," he added. Speaking on the possibility of a complete AI war, the official said that we can use AI in the next 10 years for decision making but a war based on AI is a distant possibility. Highlighting the technological race, the official said that India is a late starter in the field of artificial intelligence but will slowly catch up really quickly and added that most of the infotech brains are coming from South Asia.
Artificial intelligence (AI) will have a profound, positive and transformative impact on the health of European and worldwide populations. There is huge interest and worldwide investment in general AI, and health systems are one of the most important application areas. Europe is uniquely placed to play a leadership role in the race to build better, more accurate and safer health technology systems through the use of AI. European researchers are at the forefront in the development of safe, robust and effective AI delivering substantive patient and public benefit. If properly managed, AI research will deliver both sustained health improve ments as well as economic benefits to Europe.
As it is across the world, the amount of investments made in artificial intelligence (AI) and the number of entrepreneurs using AI to develop new projects is also increasing in Turkey. AI facilitates business and production processes and supports automation. This shows that the number of AI start-ups will increase in the coming years. Therefore, Lale Deliveli Alp, one of the founders of Deliveli Alp Law & Consultancy, answered the following questions to make young entrepreneurs' work easier: By what legal means are AI software developed by technology companies protected? Is it possible to patent a developed AI? Alp answered the question about which many entrepreneurs wonder with the following response: "It is not possible to patent AI, which is software, in accordance with Article No. 82 in the Industrial Property Law. Computer programs are out of patentability. However, if the developed AI does not function separately from the hardware, it can be patented. For example, the AI of a developed robot can be patented since it cannot be used separately from the robot. It is always possible to protect AI software developed apart from this within the scope of copyright law as explained above."
Last December, a conference of biologists gathered in Cancun, Mexico, to review a shocking finding. DeepMind, Alphabet's artificial intelligence lab and sister company to Google, had beat a roomful of biologists in a contest to predict the shape of a protein based on its genetic code. That might not sound monumental, but understanding the way proteins fold into three-dimensional shapes is crucial to helping create drugs, which often fight disease by latching onto proteins and altering the way they work in the body. DeepMind was able to predict these proteins' shapes with significantly more accuracy than the many esteemed academics and professionals at the conference. "It dawned on me that this is a field that people have been working in for decades," Mohammed AlQuraishi, a biologist and researcher at Harvard who participated in the contest, told Vox. "The fact that a new group could come in and do so well, so quickly--I felt bad because it demonstrated the structural inefficiency of academia."
Was George Orwell right, is Big Brother watching us? Undoubtedly many are alarmed by the ever-increasing level of computer-driven surveillance, particularly involving facial recognition technologies. In the past few months, San Francisco and Oakland, California, and the US state of Massachusetts have all banned police from using facial recognition tech. Meanwhile, in Europe, The General Data Protection Regulation (GDPR) introduces restrictive rules about privacy preservation in data processing. A team of researchers from the Norwegian University of Science and Technology recently proposed a new architecture that can anonymize faces in images automatically while the original data distribution remains uninterrupted.
PathAI, a startup that employs machine learning techniques to improve diagnostic accuracy, today announced that it's raised $60 million in series B funding led by growth equity firm General Atlantic, with General Catalyst participating. It brings its total venture capital raised to about $75 million, following an $11 million series A financing round, which CEO and cofounder Dr. Andy Beck said will be used to enhance PathAI's existing offerings, drive improvement of its platform, and fuel research and development into new tools and devices. "Our goal has been clear since day one – a relentless drive to ensure patients get the right diagnosis and the most effective treatment. We're looking forward to working with our partners to scale this effective approach across disease areas and around the world," Beck said. "The global network and deep expertise in technology and life sciences brought by General Atlantic, alongside the continued support of existing investors like General Catalyst, can only enhance our ability to effect change toward this major, impactful objective."