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News: In the Media

In the Media: Inês Lynce in Exame Informática Podcast “Gato de Schrödinger”

CMU Portugal National co-director Inês Lynce was part of “Gato de Schrödinger” (Schrödinger’s cat) podcast by Exame Informática magazine.  In a discussion on “Artificial Intelligence – threat or opportunity,” the INESC ID President and professor at Instituto Superior Técnico was one of the two invited speakers, along with João Castro from Nova SBE, a conversation led by journalist Sara Sá.

The main topics of the podcast were the challenges and the potential of Artificial Intelligence (AI). When questioned on how AI can contribute to improving our existence and make our lives better, Inês starts by stating that “we must not take humans out of the loop. There must always be a human looking at things, from health applications to job selection processes. If we hand everything over to machines, it can go wrong. On the other hand, with the current technology and its complexity, it is important to understand what is behind the decisions. This is an important area with a large European investment: an AI that gives explanations.”

Full video available here (in Portuguese).

 

Results from WoW project lead the way for a new generation of electronic devices

A team of researchers at the Universidade of Coimbra have developed a highly promising material for a new generation of electronic devices under the CMU Portugal project WoW. The research work presents a promising material that can be used in flexible displays, flexible solar panels, and even wearable biosensors among others. Led by Mahmoud Tavakoli, the Institute of Systems and Robotics team from Universidade de Coimbra recently published their findings and graciously was featured on the Advanced Materials Technologies journal cover page.

This graphene-coated liquid metal nanocomposite is a novel and promising class of biphasic composite that can be used as a transparent conductor. The authors used an infrared laser source for simultaneous laser sintering, thinning, and ablation of reduced graphene oxide coated eutectic gallium-indium alloy films and demonstrated their application in the fabrication of a high-resolution semitransparent sensor for human breath monitoring.

This is the first report showing a transparent conductor based on liquid metal. According to Mahmoud Tavakoli, “Liquid metals are interesting because they provide stretchability and self-healing, and they are excellent in thermal dissipation. So, this is an important step toward screens that are very resilient, and very resistant.”

The structure of the new material and the manufacturing method presented in this study represents an important step towards a rapid, low-cost, and scalable fabrication of graphene-based electrodes. The next step of the investigation will be, according to Mahmoud Tavakoli, «to explore the use of other types of lasers to improve the conductivity or transparency of the electrodes, as well as to study other applications of this technique such as film electronics, gas sensors, and moisture and energy storage devices.”

Link to Article
Link to Coverpage

In the Media: RTP, Visão, Porto Canal, Notícias de Coimbra, Sapo, Greensavers, Planeta Algarve, Ambiente Magazine

 

COVID-19: APRENDIZAGEM PROFUNDA PODE TORNAR DIAGNÓSTICO POR RAIO-X “FIÁVEL”

Em comunicado, o instituto do Porto afirma que a investigação, publicada na revista Scientific Reports — Nature, debruçou-se sobre a utilização da inteligência artificial e da aprendizagem profunda no diagnóstico complementar por raio-X da covid-19.

Investigadores do Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC), no Porto, concluíram que a aprendizagem profunda pode tornar “mais rápido e fiável” o diagnóstico por raio-X de manifestações graves da covid-19, foi hoje anunciado.

Covid-19: Aprendizagem profunda pode tornar diagnóstico por raio-X “fiável”

Investigadores do Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC), no Porto, concluíram que a aprendizagem profunda pode tornar “mais rápido e fiável” o diagnóstico por raio-X de manifestações graves da covid-19, foi hoje anunciado.

Em comunicado, o instituto do Porto afirma que a investigação, publicada na revista Scientific Reports – Nature, debruçou-se sobre a utilização da inteligência artificial e da aprendizagem profunda no diagnóstico complementar por raio-X da covid-19.