Scientists from the University of Waterloo developed the system, which uses cameras and artificial intelligence to detect hand movements that deviate from normal driving behaviour.
The system can then classify the movements in terms of possible safety threats.
Dr Fakhri Karray, who led the study, said that information could be used to improve road safety by warning or alerting drivers when they are dangerously distracted.
Not so very long ago, Natural Language Processing looked very different. In sequence labelling tasks such as Named Entity Recognition, Conditional Random Fields were the go-to model. The main challenge for NLP engineers consisted in finding good features that captured their data well. Today, deep learning has replaced CRFs at the forefront of sequence labelling, and the focus has shifted from feature engineering to designing and implementing effective neural network architectures. Still, the old and the new-style NLP are not diametrically opposed: just as it is possible (and useful!) to incorporate neural-network features into a CRF, CRFs have influenced some of the best deep learning models for sequence labelling.
One of the most popular sequence labelling tasks is Named Entity Recognition, where the goal is to identify the names of entities in a sentence. Named entities can be generic proper nouns that refer to locations, people or organizations, but they can also be much more domain-specific, such as diseases or genes in biomedical NLP.
Unlike some of the other industries that Watson has tried to master, sports offers a bit more predictability and data sources. IBM’s Cognitive Highlights was on display at the U.S. Open.
If you want to do big, serious science, you’ll need a serious machine. You know, like a giant water-cooled computer that’s 200,000 times more powerful than a top-of-the-line laptop and that sucks up enough energy to power 12,000 homes.
You’ll need Summit, a supercomputer nearing completion at the Oak Ridge National Laboratory in Tennessee. When it opens for business next year, it’ll be the United States’ most powerful supercomputer and perhaps the most powerful in the world. Because as science gets bigger, so too must its machines, requiring ever more awesome engineering, both for the computer itself and the building that has to house it without melting. Modeling the astounding number of variables that affect climate change, for instance, is no task for desktop computers in labs. Some goes for genomics work and drug discovery and materials science. If it’s wildly complex, it’ll soon course through Summit’s circuits.
Assistant Professor of Research Beth A. Smith and USC Viterbi Professor Maja Matarić have been awarded a $300,000 grant from the National Science Foundation for an interdisciplinary study that could one day lead to a safe robotic intervention for infants at risk for developmental delay.
Artificial intelligence is becoming a defining characteristic in the smartphone market, powering personalization, virtual assistants, and even battery life.
But AI takes a lot of computing power. To make up for that, companies like Apple and Huawei are adding additional chips into smartphones to handle such tasks. These are complementary to the existing CPU and GPU chips already in phones, and configured to be faster for one specific purpose—AI—at the expense of being able to do anything else. They also keep AI tasks from draining phone batteries as fast. Apple has dubbed theirs the Neural Engine, located inside the A11 Bionic chip, while Huawei’s is called the Kirin 970.
Apple’s Neural Engine will process tasks like its new FaceID facial recognition, understanding voice commands for Siri, and image-processing.
Today, Data & Society is delighted to announce that Janet Haven has been named its executive director.
Previously Data & Society’s Director of Programs and Strategy, Haven spent over a decade at the Open Society Foundations, where she was an early leader at the intersection of rights and new technologies. Haven’s appointment strengthens Data & Society’s position as a leading independent research institute focused on social and cultural issues arising from data-centric and automated technologies.
A new drone developed at EPFL uses cutting-edge technology to deliver parcels weighing up to 500 grams. The device will never get stuck in traffic, it’s programmed to avoid obstacles, and it can reach destinations on steep or uneven terrain. Its protective cage and foldable design mean that it can be carried around in a backpack and used in total safety.
INL, with help from the University of Idaho and Boise State University, developed DAIRIEES to make the financial case for using an anaerobic digester.
DAIRIEES, which stands for Decision-support for Digester-Algae IntegRation for Improved Environmental and Economic Sustainability if you ignore the duplicate “D,” is software designed to help dairy farmers manage manure more efficiently.
The software serves as a platform for analyzing the costs associated with running an anaerobic digester and calculating reductions in greenhouse gas emissions.
A year after winning the top prize at DARPA’s Cyber Grand Challenge (CGC), a hacking competition between autonomous super computers, David Brumley will be taking a one-year leave of absence as Director of CyLab to focus on growing the startup behind the CGC-winning technology, ForAllSecure, where he serves as Founder and CEO. Brumley’s leave became effective September 1st.
Doug Sicker, Head of the Department of Engineering and Public Policy and Thomas Lord Chair of Engineering, will be serving as the Interim Director of CyLab during this period.
New Orleans, LA A Workshop at the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). It will be on February 2 or 3, 2018. Deadline for submissions is October 20.
First-year M.S. Data Science students, Asena Derin Cengiz, Yanchao Ni, Atakan Okan, and Ksenia SaenkoForbes Under 30 Scholars for the Under 30 summit this October.
“Even though many open source software packages exist, and the research is vast, the knowledge around building solid search experiences is limited to a select few. Ironically, searching online for search-related expertise doesn’t yield any recent, thoughtful overviews.”
“Want to know what’s capturing the attention of the producers at the 24-hour cable news stations? There’s no equivalent of Twitter’s trending topics for the likes of CNN or BBC News, but the newsflash package for R by Bob Rudis can extract the latest trending topics from the TV news stations.”