How machine learning models can alter societal behaviors.
Category: robotics/AI – Page 2,121
Engineers reveal ‘invincible’ autonomous robot insect that can’t be flattened
A team in Switzerland has created a soft robotic insect that can withstand a multitude of hits from a flyswatter.
A new soft robotic insect could one day form part of a swarm designed to perform a number of different tasks. A team from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland developed the insect and showed it is incredibly durable, even when being battered by a flyswatter.
Publishing its findings to Science Robotics, the team said the insect – called DEAnsect – is propelled 3cm per second by artificial muscles. Two versions were produced: one tethered with ultra-thin wires, the other being untethered and autonomous weighing less than 1g, including its battery and components.
Helping Kids Walk With Wearable Robots
Can robotic exoskeletons help kids with cerebral palsy walk?
I’m definitely not worried about the AI Apocalypse: John Giannandrea
John Giannandrea, Vice President of Engineering with responsibility for Google’s Computer Science Research and Machine Intelligence groups; leading teams in Machine Learning, Machine Intelligence, Computer Perception, Natural Language Understanding, and Quantum Computing, “I’m definitely not worried about the AI apocalypse, I just object to the hype and soundbites that some people are making” said at the TechCrunch Disrupt conference in San Francisco.
Google’s John Giannandrea sits down with Frederic Lardinois to discuss the AI hype/worry cycle and the importance, limitations, and acceleration of machine learning.
New tool could help researchers design better cancer vaccines
A computational model could improve the selection of tumor antigens for personalized cancer vaccines that are now in early-stage clinical trials.
Every cell in the human body is coated with fragments of proteins called antigens that tell the immune system what’s inside the cell. Antigens presented on cells that are infected by foreign invaders or have become rogue cancers prompt an immune attack. Such antigens are often used in vaccines to spur immune responses against, for example, viruses like the flu. But to make vaccines that effectively stimulate attack against cancer, researchers need to predict exactly which tumor-specific antigens will be displayed on tumor cells and hence would be the best ones to put in a cancer vaccine.
Now, scientists at the Broad Institute of MIT and Harvard, Dana-Farber Cancer Institute, and Massachusetts General Hospital have developed a new computational tool that could help with this task. The researchers turned to machine learning to analyze a diverse set of more than 185,000 human antigens that they discovered, and generated a new set of rules that predict which antigens are presented on the surface of a person’s cells. The findings, published today in Nature Biotechnology, could aid in the development of new treatments that stimulate the immune system to attack cancer as well as viruses and bacteria.
Intel Acquires Artificial Intelligence Chip Maker Habana for $2 Billion
Given that opportunity, the acquisition of Habana is only a component of a wide attack on the market and that it’s not clear how it fits with the other acquisitions and projects, the initial response to the Habana acquisition should be a shrug. Intel is like a VC firm in that it only needs one of the multiple initiatives to hit in order to end up in the black.
Bosch develops A.I. system in cars to detect distracted, tired drivers
As the cars we drive become increasingly sophisticated, the technology that underpins them poses a unique set of challenges.
“Currently, technology is more likely to create distractions in vehicles than it is to combat it,” Alain Dunoyer, SBD Automotive’s head of autonomous research and consulting, said in a statement sent to CNBC via email earlier this month.
“These days, cars have a shopping list of features which has led to tasks that were historically quite simple becoming drastically more complicated and distracting,” he added.