Day: April 16, 2020
How Artificial Intelligence Will Shape Design by 2050 – ArchDaily
How Artificial Intelligence Will Shape Design by 2050 © ICD-ITKE, University of Stuttgart Share Share Facebook Twitter Pinterest Whatsapp Mail Or https://www.archdaily.com/937523/how-artificial-intelligence-will-shape-design-by-2050 Clipboard “COPY” Copy Artificial intelligence is transforming how we design and build. By 2050, the effects of AI adoption will be widely felt across all aspects of our daily lives. As the world…
Machine learning predicts corn yield | AG – KMAland
With increasing development of precision-agriculture tools there’s greater need to develop data-analysis solutions that can guide management decisions in real time. A new study at the University of Illinois offers an approach to efficiently and accurately process precision-agriculture data.We’re trying to change how agronomic research is conducted. Instead of establishing a small field plot, running…
Intel (INTC) to Aid DARPA With ML Cybersecurity Capabilities
Intel INTC in collaboration the Georgia Institute of Technology (or Georgia Tech) recently secured a multimillion-dollar contract from the Defense Advanced Research Projects Agency (DARPA). Per the four-year deal, both Intel and Georgia Tech, will helm“Guaranteeing Artificial Intelligence (AI) Robustness against Deception (GARD) program team” for DARPA. Notably, Intel is the prime contractor in the…
Do You Trust Your Artificial Intelligence?
Photo: Getty One of the most transformational technologies of our age is artificial intelligence (AI). Security risks and pertinent questions should be foreseen and elucidated before the technology starts to conquer the world. That is why AI security-related consideration is of paramount importance. Once a new innovation emerges, people become concerned about security issues —…
Do You Trust Your Artificial Intelligence? – Forbes
Photo: Getty One of the most transformational technologies of our age is artificial intelligence (AI). Security risks and pertinent questions should be foreseen and elucidated before the technology starts to conquer the world. That is why AI security-related consideration is of paramount importance. Once a new innovation emerges, people become concerned about security issues —…
New MIT machine learning model shows relaxing quarantine rules will spike COVID-19 cases – TechCrunch
MIT has developed a new model of the spread of COVID-19 infection, based on publicly available data, combined with established epidemiological equations about outbreaks, and neural network-based inference. The model, described in a new report, proves accurate when trained on data spanning late January to early March in terms of anticipating the actual spread leading…
Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2020 – insideBIGDATA
In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the past month. Researchers from all over the…
How to build robust anomaly detectors with machine learning – Ericsson
What are anomaly detectors used for? Modern software applications are often comprised of distributed microservices. Consider typical Software as a Service (SaaS) applications, which are accessed through web interfaces and run on the cloud. In part due to their physically distributed nature, managing and monitoring performance in these complex systems is becoming increasingly difficult. When…
Three concerns around artificial intelligence – DATAQUEST
Artificial intelligence is currently one of the hottest technologies that is believed to hold immense potential to benefit the human society. That said, there are inherent issues that raise concerns about the potential dangers of the technology.Some of the most discussed concerns around artificial intelligence include:Bias: Probably one of the biggest concerns, bias in artificial…
Research Team Uses Machine Learning to Track Covid-19 Spread in Communities and Predict Patient Outcomes – The Ritz Herald
The COVID-19 pandemic is raising critical questions regarding the dynamics of the disease, its risk factors, and the best approach to address it in healthcare systems. MIT Sloan School of Management Prof. Dimitris Bertsimas and nearly two dozen doctoral students are using machine learning and optimization to find answers. Their effort is summarized in the…