When a doctor suspects a patient may have lung lesions or pulmonary nodules, the next step is usually a CT scan. If lesions show up, doctors often recommend biopsies to obtain an accurate diagnosis and determine if the lesions are benign or malignant. The biopsy procedure is common, albeit intricate and error prone. Imaging can produce false positives, for one thing, resulting in unnecessary intervention. When surgeons perform biopsies, they can accidentally damage border areas of the lungs.

Arbitrator Intelligence's Director for #CEE Outreach, Zrinka Mustafa Prelić, was happy to share AI's exciting updates from 2019 at the YCAP Young Croatian Arbitration Practitioners and YAAP - Young Austrian Arbitration Practitioners Joint Conference held last week in #Zagreb and to answer questions about the #AIQ and AI Reports raised by the young practitioners in attendance. Zrinka first introduced AI to a Croatian #arbitration audience during the 2018 Croatian Arbitration Days. This brief article on these topics, co-authored with #AI Founder & CEO Catherine Rogers, continues their collaboration, which started during Zrinka's days as an LLM at Penn State University Law.

Facial recognition is being widely embraced as a security tool -- law enforcement and corporations alike are rolling it out to keep tabs on who's accessing airports, stores, and smartphone lock screens. As it turns out, the technology is fallible. Researchers with the AI firm Kneron were able to fool facial recognition systems at banks, border crossing checkpoints, and airports using a printed mask depicting a different person's face, they announced Thursday. Researchers tested facial recognition across three continents. They successfully fooled payment tablets run by Chinese companies Alipay and WeChat, as well as a border crossing checkpoint in China.

Facebook researchers taught the company's artificial intelligence software how to play a Solitaire-like card game that requires players to work together. Researchers at Facebook have taught the company's artificial intelligence (AI) software how to play the game Hanabi, a Solitaire-like card game that requires players to work together. Hanabi is viewed as a capable testbed for AI because it requires teamwork and strategy. The Facebook researchers had to find a way to give the Hanabi bots a method to understand the hints of their teammate bots, based on the limited information they have about their own cards. The researchers helped the bots using a variant of the Monte Carlo "search" technology technique to help them evaluate their possible moves.

Nearly 600 years after Chinese monks advanced the spread of knowledge with block printing, there was the Gutenberg Press, changing the dissemination of knowledge forever. And now, nearly 600 years later, Artificial Intelligence is poised to do the same. For many, Artificial Intelligence is clouded in mystery, and bound to big screen killer bots that ultimately decide that humans must be terminated. From HAL 9000, to Skynet, to I, Robot, and back to Skynet again, AI has been popularly framed in how it can hurt humanity, rather than how it can help. Artificial Intelligence aims to train machines to perform tasks with the hallmarks of human intelligence: inference, speech recognition, visual perception, planning, learning, and language comprehension.

According to the CDC, the suicide rate for individuals 10-24 years old has increased 56% between 2007 and 2017. In comparison to the general population, more than half of people experiencing homelessness have had thoughts of suicide or have attempted suicide, the National Health Care for the Homeless Council reported. Phebe Vayanos, assistant professor of Industrial and Systems Engineering and Computer Science at the USC Viterbi School of Engineering has been enlisting the help of a powerful ally--artificial intelligence--to help mitigate the risk of suicide. "In this research, we wanted to find ways to mitigate suicidal ideation and death among youth. Our idea was to leverage real-life social network information to build a support network of strategically positioned individuals that can'watch-out' for their friends and refer them to help as needed," Vayanos said.

The Artificial Intelligence Takeover Whether as collaborators or on their own, artificial intelligence programs made a huge impact on music this year, one that's only going to evolve moving forward YACHT handed full control of their album'Chain Tripping' to an artificial intelligence. Photo: Mitchell Davis Published Dec 12, 2019 Humans are born to collaborate; we can't help but bounce our ideas off someone else every once in a while. An entirely new musical partner has been emerging recently, however, and it's not human. Artificial intelligence has played a significant role in music this year, and its influence is likely to spread over the coming years. If Grimes' recent comments are anything to go by, then A.I. and other technological advancements are soon going to make live music obsolete -- although we're not too sure about that.

This article is adapted from GreenBiz's weekly newsletter, VERGE Weekly, running Wednesdays. As global losses rack up from climate change-exacerbated natural disasters -- from voracious wildfires to ferocious hurricanes -- communities are scrambling to prepare (and to hedge their losses). While information technologies such as machine learning and predictive analytics may not be able to prevent these catastrophes outright, they could help communities be better prepared to handle the aftermath. That's the spirit behind a unique collaboration between Chicago-based technology services company Exigent and the Schulich School of Business at York University in Toronto, one that aims to create a more cost-effective and efficient marketplace for disaster relief and emergency response services. The idea is to help state and provincial governments collectively build a more centralized inventory of relief supplies and other humanitarian items based on the data from a particular wildfire or hurricane season.

This article is adapted from GreenBiz's weekly newsletter, VERGE Weekly, running Wednesdays. As global losses rack up from climate change-exacerbated natural disasters -- from voracious wildfires to ferocious hurricanes -- communities are scrambling to prepare (and to hedge their losses). While information technologies such as machine learning and predictive analytics may not be able to prevent these catastrophes outright, they could help communities be better prepared to handle the aftermath. That's the spirit behind a unique collaboration between Chicago-based technology services company Exigent and the Schulich School of Business at York University in Toronto, one that aims to create a more cost-effective and efficient marketplace for disaster relief and emergency response services. The idea is to help state and provincial governments collectively build a more centralized inventory of relief supplies and other humanitarian items based on the data from a particular wildfire or hurricane season.

Artificial intelligence may be able to work out the maximum lifespans of extinct species and early humans. The technique relies on analysing specific regions of DNA that are linked to ageing. Benjamin Mayne at CSIRO, a research organisation in Australia, and his colleagues built an AI to predict the lifespan of different animals. To this the team first trained an AI on the known genomes of 252 species from five classes of animals, including mammals, reptiles and fish, and their maximum lifespans. The AI then narrowed down almost 30,000 DNA regions to just 42 that related to lifespan. This was then used to create a formula that can convert these 42 regions into a prediction of maximum lifespan.