1. Kevin Scott of Microsoft Hopes Artificial Intelligence Will Help His Hometown
Microsoft’s chief technology officer, Kevin Scott, is humming Mozart’s “Sonata facile,” a melody that he recalls hearing in “Looney Tunes” cartoons. A computer could easily learn to play it, he says, but such a rendition probably wouldn’t elicit an emotional response from a listener. “It’s not about the notes; it’s about this connection…with the audience,” he says. “I don’t know if that’s going to be possible with a machine.”
Author: Alexandra Wolfe
Read More On: The Wall Street Journal
2. Coronavirus: Will Covid-19 speed up the use of robots to replace human workers?
For better or worse the robots are going to replace many humans in their jobs, analysts say, and the coronavirus outbreak is speeding up the process. “People usually say they want a human element to their interactions but Covid-19 has changed that,” says Martin Ford, a futurist who has written about the ways robots will be integrated into the economy in the coming decades.
Author: Zoe Thomas
Read More On: BBC News
3. New AI algorithm brings us closer than ever to controlling machines with our minds
Researchers from Carnegie Mellon and the University of Pittsburgh today published research showing how they’d solved a frustrating problem for people who use a brain-computer interface (BCI) to control prosthetic devices with their thoughts. While the research itself is interesting – they created an algorithm that keeps the devices from constantly needing to be re-calibrated to handle the human brain’s fluctuating neuronal activity – the real takeaway here is how close we are to a universal BCI.
Author: Tristan Greene
Read More On: The Next Web
4. Leveraging AI to Battle This Pandemic — And The Next One
Over the past few months the world has experienced a series of Covid-19 outbreaks that have generally followed the same pathway: an initial phase with few infections and limited response, followed by a take-off of the famous epidemic curve accompanied by a country-wide lockdown to flatten the curve.
Author: Anton Ovchinnikov
Read More On: Harvard Business Review
5. Microsoft: Our AI can spot security flaws from just the titles of developers’ bug reports
Microsoft has revealed how it’s applying machine learning to the challenge of correctly identifying which bug reports are actually security-related. According to Microsoft, its 47,000 developers generate about 30,000 bugs a month, but only some of the flaws have security implications that need to be addressed during the development cycle. Its goal is to correctly identify security bugs at scale using a machine-learning model to analyze just the label of bug reports.
Author: Liam Tung
Read More On: ZDnet
6. Deep learning takes on tumours
As cancer cells spread in a culture dish, Guillaume Jacquemet is watching. The cell movements hold clues to how drugs or gene variants might affect the spread of tumours in the body, and he is tracking the nucleus of each cell in frame after frame of time-lapse microscopy films. But because he has generated about 500 films, each with 120 frames and 200–300 cells per frame, that analysis is challenging to say the least.
Read More On: Nature
7. US Navy ‘Top Secret’ Mission: Now AI-Powered System Can Kill Autonomously
The United States Navy is developing robot submarine which will be controlled by Artificial Intelligence (AI) systems – with the ability to potentially kill without explicit human input. The project is named as ‘CLAWS’ by the US Navy; however, very little information has been released about it. According to a report by New Scientist, the project is described as an ‘autonomous undersea weapon system’ and carried out by the Office of Naval Research.
Read More On: Automeme
8. Artificial intelligence: How machine-learning jobs are giving refugees a future in tech
The influx of refugees into the EU over the past five years has brought many challenges for its member states. But eastern EU countries have particularly felt the impact, in part because their economies are less developed than their western counterparts. However in Bulgaria, which remains the EU’s poorest member state, one company has managed to find a way to help refugees as well as boost the local economy.
Author: Bojan Stojkovski
Read More On: ZDnet
9. Google’s Entities as Experts AI answers text-based questions with less data
A preprint study published this week by coauthors at Google Research describes Entities as Experts (EAE), a new type of machine learning model that can access memories of entities (e.g., people, places, organizations, dates, times, and figures) mentioned in a piece of sample text. They claim it outperforms two state-of-the-art models with far less data while capturing more factual knowledge and is more modular and interpretable than the Transformers architecture on which it’s based.
Author: Kyle Wiggers
Read More On: VentureBeat
10. MIT work raises a question: Can robots be teammates with humans rather than slaves?
Researchers at the Massachusetts Institute of Technology have formed an interesting take on the robot question that is less about slavery, more about cooperation. They observed that language is a function of humans cooperating on tasks, and imagined how robots might use language when working with humans to achieve some result.