Writing for Forbes, research engineer Bryan Reimer examines Elon Musk’s recent comments about the future of driverless vehicles. Reimer explains that while there likely won’t be a fully self-driving vehicle system available in the next few years, there will be “an evolution of features that utilize drivers as a backup to the automation in situations requiring intervention.”
Writing for Wired, Prof. Joi Ito, director of the Media Lab, argues against the notion of singularity, the concept that AI will supersede humans. “Instead of thinking about machine intelligence in terms of humans vs machines, we should consider the system that integrates humans and machines – not artificial intelligence but extended intelligence,” writes Ito.
WBUR reporter Pamela Reynolds highlights graduate student Joy Buolamwini’s piece, “The Coded Gaze,” which is currently on display as part of the “Avatars//Futures” exhibit at the Nave Gallery. Reynolds writes that Buolamwini’s piece “questions the inherent bias of coding in artificial intelligence, which has resulted in facial recognition technology unable to recognize black faces.”
Quartz reporter Anne Quito spotlights how graduate student Arnav Kapur has developed a wearable device that allows users to access the internet without speech or text and could help people who have lost the ability to speak vocalize their thoughts. Kapur explains that the device is aimed at augmenting ability.
Inside Science reporter Yuen Yiu writes that MIT researchers have developed a new AI system that can summarize scientific research papers filled with technical terms. Yiu writes that the system “is a dramatic improvement from current programs, and could help scientists or science writers sift through large numbers of papers for the ones that catch their interest.”
Axios reporter Ina Fried spotlights how graduate student Arnav Kapur has developed a system that can detect speech signals. “The technology could allow those who have lost the ability to speak to regain a voice while also opening up possibilities of new interfaces for general purpose computing,” Fried explains.
BBC Click spotlights how CSAIL researchers have developed a robot that can automatically sort recycling. “Many paper and plastic cups look the same, but by introducing the ability to squeeze the object and to know whether it is flexible or not we are able to go one step beyond what today’s methods can do, explains Prof. Daniela Rus, director of CSAIL.
TechCrunch reporter Brian Heater writes that MIT researchers have developed a robot that can recycle materials using sensors that allow it to differentiate between objects. Heater explains that “the system utilizes a Teflon gripper with built in sensors that are capable of determining an object’s makeup based on size and stiffness.”
Writing for The Wall Street Journal, Prof. Thomas Malone examines how AI could transform business hierarchies. “AI may create some more centralized hierarchies, and even more situations that call for flexible structures,” writes Malone. The overall goal, though, will remain “figuring out how to combine the different capabilities of people and computers into ‘superminds’ that are smarter than anything we’ve ever had before.”
WGBH’s Aaron Schachter explores the new MIT Schwarzman College of Computing with graduate student Marc Aidinoff, a member of the Social Implications and Responsibilities of Computing Working Group. “Our hope,” says Aidinoff, “is that we are able to integrate this into the DNA of the college in a deep and robust way.”
MIT researchers have developed a new particle robotics system inspired by biological cells that can transport objects placed in their midst and squeeze through small gaps, reports Kaveh Waddell for Axios. “The particle robotics system is a departure from traditional robots, where a part failure generally breaks the entire thing,” Waddell explains.
Axios reporter Kaveh Waddell writes about a new study by MIT researchers that examines the potential impact of adversarial attacks on health care systems. “If someone sending in data for analysis has a different goal than the owner of the system doing the analysis, there's a potential for funny business,” Waddell explains.
MIT researchers have found that medical systems could be vulnerable to adversarial attacks, report Cade Matz and Craig Smith for The New York Times. AI systems could exacerbate the threat of “stakeholders bilking the system by subtly changing billing codes and other data in computer systems that track health care visits,” write Metz and Smith.
In this video, Mashable spotlights how MIT researchers have developed an origami-inspired soft robotic gripper that can grasp a wide variety of objects.
Fast Company reporter Mark Wilson writes that CSAIL researchers have developed a new soft robotic gripper that is modeled after a Venus flytrap. “Dubbed the Magic Ball, it’s a rubber and plastic structure that can contract around an object like an origami flower,” Wilson explains.