Hyundai has formed a new partnership to develop autonomous driving software for auto makers to design their own fleet of robot taxis. The South Korean car marker has announced the $4 billion venture with Aptiv, which will design Level 4 and Level 5 production-ready self-driving systems intended for commercialization by 2022. The venture aims to further the firms' leadership position in the global autonomous driving ecosystem. Hyundai has formed a new partnership to develop a production-ready autonomous driving platform for robotaxis. The goal is to develop Level 4 and Level 5 production-ready self-driving systems intended for commercialization, which the duo said will be made available to robotaxi and fleet operators, as well as other auto makers, by 2022.

WIRE)–InterSystems, a global leader in information technology platforms for health, business, and government applications, today launched QuickML, available to users of the InterSystems IRIS Data Platform and the InterSystems IRIS for Health Data Platform. The announcement was made at InterSystems Global Summit 2019, the company's annual conference, which is currently being held in Boston. By putting best-of-breed machine learning (ML) within the hands of SQL-oriented developers, QuickML enables organizations to put predictions within their existing applications without needing extremely-scarce ML expert engineers. "QuickML allows all developers using InterSystems IRIS to embed machine learning capabilities in their applications in a simple and scalable format. In this way, we see QuickML enabling all of our application partners to deliver accurate predictions as part of their tool set" Data is at the core of most business processes, and ML offers amazing power for digital transformation -- but the economics of extracting value from this resource are challenging.

A trio of researchers from Chonnam National University, Nanjing University of Information Science and Technology and the Chinese Academy of Sciences has found that a deep learning convolutional neural network was able to accurately predict El Niño events up to 18 months in advance. In their paper published in the journal Nature, Yoo-Geun Ham, Jeong-Hwan Kim and Jing-Jia Luo, describe their deep learning application, how it was trained and how well it worked in predicting El Niño events. El Niño-Southern Oscillation events are periods during which water warms above normal temperatures in tropical parts of the Pacific. When that warm water moves east, it leads to more rainfall and other weather events, such as hurricanes, in the Americas, and less rain in Australia and Indonesia. Current models can accurately predict such events using data from water temperature gauges spread across the globe up to a year in advance.

Having first appeared on the scene of machine learning in 1986 and artificial neural networks in 2000, the study of deep learning continues to explode with new research, advanced techniques, higher benchmarks, and broader applications. Keeping pace in such an active field with an average of 30 new deep learning papers uploaded to arXiv per day over the previous month is daunting, to say the least. While there are many key deep learning scientists and engineers active today, the following list of 12 researchers and innovators in the field are among the most important – and they so happen to actively share on social media, making their progress and insights much easier to keep up with. So, start paying attention to these 12 top deep learning individuals, and be prepared to expand your understanding and awareness of the incredible advancements deep learning is bringing to science, industry, and society. While it in no way correlates to everyone's contribution to the field, the list is sorted by the number of Twitter followers so you can see who appears to have the most reach today.

Just like the air people breathe, some of the most important things in life are invisible. Now, can you imagine your company's supply chain becoming just as invisible as the air around us? We envision the supply chain of the future in the chemical industry will be self-driving, self-maneuvering and self-correcting, resulting in a seamless fulfillment capability that delivers chemicals at the right time, to the right place and with right quality--without manual human interaction. While leading retail giants invest in emerging technologies as a matter of course, historically this has not been the case for most chemical companies. However, the benefits of doing so are tremendous.

Fitting huddle rooms with audio and video isn't as simple as taking an offering meant for the boardroom and putting it in a smaller space. Due to their size, huddle rooms present a unique set of challenges such as camera framing and audio sensitivity. While an audio/video offering for a boardroom may not be the right fit, certain features considered native to the boardroom can enhance the UX for huddle rooms. While huddle rooms may be growing in number, a study from San Antonio-based research firm, Frost & Sullivan, found fewer than 3% of these rooms are video equipped. Insufficient huddle room technology can lead to poor experiences that look like a small group of people crowded around a laptop.

Deepfake artist Hao Li created this Putin deepfake, which was shown at an MIT conference this week.AP Photo/Alexander Zemlianichenko; MIT Technology Review A deepfake pioneer said in an interview with CNBC on Friday that "perfectly real" digitally manipulated videos are just six to 12 months away from being accessible to everyday people. "It's still very easy you can tell from the naked eye most of the deepfakes," Hao Li, an associate professor of computer science at the University of Southern California, said on CNBC's Power Lunch. "But there also are examples that are really, really convincing." He continued: "Soon, it's going to get to the point where there is no way that we can actually detect [deepfakes] anymore, so we have to look at other types of solutions." Li created a deepfake of Russian president Vladimir Putin, which was showcased at an MIT tech conference this week.

Artificial intelligence (AI) is no longer on the horizon. It's here now, and it's already having a profound impact on how we live, work, and do business. Companies, governments, and organizations must embrace the idea of going places they simply cannot get to using current technologies and processes. AI can and will transform organizational decision-making, drive efficiencies, build new capabilities and businesses, and power sustainable, value-driving activities. But like all revolutions in technology, capturing maximum value while simultaneously minimizing risk will require a strategic understanding of both what AI is, and how it aligns with your core business.

As the application of artificial intelligence (AI) in the field of drug development increases, market growth is greatly favored. Artificial intelligence (AI) is called engineering and science adopted to design intelligent machines, such as intelligent computer programs. A system that applies multiple human intelligence-based functions, such as learning, reasoning, and problem-solving skills in areas such as computer science, biology, linguistics, mathematics, and engineering. Artificial intelligence is regarded as the next boundary of medical innovation. Healthcare's AI is implemented to align structured and unstructured data.

Candidates must provide evidence that is related to the skills and abilities outlined under the Specialized Experience. Specialized experience must have been at a sufficiently high level of difficulty to clearly show that the candidate possesses the required qualifications set forth below. Candidates must provide evidence that is related to the skills and abilities outlined under the Professional Technical Qualifications (PTQ). Experience must have been at a sufficiently high level of difficulty to clearly show that the candidate possesses the required professional/technical qualifications set forth below. Professional Technical Qualifications: Applicants must clearly demonstrate in their application materials that they possess technical attributes in the Professional/Technical Qualifications (PTQs).