Goto

Collaborating Authors

 Country


AI Used To Recreate Human Brain Waves In Real Time

#artificialintelligence

Recently, a team of researchers created a neural network that is able to recreate human brain waves in real-time. As reported by Futurism, the research team, comprised of researchers from the Moscow Institute of Physics and Technology (MIPT) and the Neurobotics corporation, were able to visualize a person's brain waves by translating the waves with a computer vision neural network, rendering them as images. The results of the study were published in bioRxiv, and a video was posted alongside the research paper, which showed how the network reconstructed images. The MIPT research team hopes that the study will help them create post-stroke rehabilitation systems that are controlled by brain waves. In order to create rehabilitative devices for stroke victims, neurobiologists have to study the processes the brain uses to encode information.


AI project to preserve people's voices in effort to tackle speech loss

The Guardian

A pioneering centre aimed at preserving and re-creating people's voices using artificial intelligence has opened in the US, with researchers hoping it will change the lives of people who face losing their ability to speak. Researchers say the venture โ€“ a joint effort between Northeastern University in Boston and the company VocaliD โ€“ could play an important role in maintaining a sense of identity among those with conditions ranging from throat cancer to motor neurone disease, by offering them the chance to sound like themselves even after self-generated speech has become impossible. Thought to be the first of its kind, the centre's lead researcher is Prof Rupal Patel, the founder and chief executive of VocaliD. While Patel said the company already offered individuals the option to record their voices in their own homes, in reality, many people either lack equipment for high-quality recordings or make recordings with background noise. Patel said there was also a need to offer greater support to those who require such services and make sure patients were aware they were available in plenty of time.


AI for Mobile Medical Diagnostics โ€“ Current Applications Emerj

#artificialintelligence

Before getting into this report, we have to inform readers that none of the companies discussed below claim to offer software that provides diagnostics, except Cognoa, which has FDA approval to call itself a diagnostic tool. We suspect this is because these companies are not legally allowed to do so. We usually don't refer to a dictionary to determine what constitutes a concept, preferring to create our own informed definitions, such as in our What is Machine Learning? The companies listed in this report seem to provide diagnostics based on that definition, but again, readers should be informed that these companies do not technically provide diagnoses for illnesses and conditions, except Cognoa. Rather, they provide information to users on their symptoms (for legal reasons).


Asia's Rise as a Global Autonomous Vehicle Hotbed

#artificialintelligence

Ultimately, autonomy is only one piece of the growing mobility phenomenon in Asia. The environment has spawned a series of innovations that are unique to the regions' mobility evolution โ€“ a result of the collision of an emerging digital society, a rising middle class, and legacy third-world infrastructure. For this very reason, autonomous vehicles will enabled three distinct opportunities in mobility โ€“ vehicle-as-a-destination, mobility-as-a-service, and superapp platforms. It is no surprise that with several opportunities for innovation in hardware, software, and business models, new players like tech giants, connected car developers, and e-commerce companies โ€“ not traditional automakers โ€“ are taking center stage in the region's development and deployment of autonomous vehicles.


Weaponizing Blockchain -- Vast Potential, but Projects Are Kept Secret

#artificialintelligence

"Emerging technologies such as blockchain have the potential to define the war industry over the coming decades," former NATO Secretary General Rasmussen tells Cointelegraph. When Indian Defense Minister Rajnath Singh said that blockchain and artificial intelligence would "revolutionize war," as Cointelegraph reported on Nov. 4, did he take things a bit too far? Jet engines have revolutionized warfare, and so have missiles and nuclear weapons -- but shared digital ledgers? Former NATO Secretary General Anders Fogh Rasmussen, for one, told Cointelegraph that he agrees with India's minister when he was asked about blockchain's possible military uses: Digital technologies have been transforming warfare since the 1990's so emerging technologies such as blockchain have the potential to define the war industry over the coming decades. Data and data sharing will be critical for warfare in the future, particularly with the development of artificial intelligence." "Sharing data is fundamentally about transactions.


AI: Ethics and Algorithms

#artificialintelligence

In October a German group published its position on ethics and AI. With the new European Commission tipped to put forward a comprehensive AI policy in the first 100 days of office, a lot of scrutiny has been given to the proposals. German consumer rights organisation, vzbv, CEO, Klaus Mรผller explained: "We expect this report โ€“ which was drafted by experts for the German Ministries of the interior and justice/consumers โ€“ to influence the plans of the European Commission. At the presentation of the report people already said that its findings should now become part of the EU-level debate." There are several reasons to take the report seriously.


Uber self-driving car involved in crash had no system to identify jaywalkers - Roadshow

#artificialintelligence

Uber promises its new system is smarter and would identify a jaywalking pedestrian. A year and a half since the crash in Tempe, Arizona, that left a pedestrian, Elaine Herzberg, dead and Uber in the spotlight over its self-driving car program, we're still learning more about why the wreck occurred and how investigators plan to shore up autonomous vehicle safety. The latest comes from Bloomberg, which reported Tuesday on hundreds of new documents released by the National Transportation Safety Board. The safety body found Uber's self-driving car prototype did not feature any sort of system to identify pedestrians outside of a crosswalk. Translation: There's no way the Uber autonomous car could see jaywalkers.


Using machine learning to predict symptoms

#artificialintelligence

Researchers at the University of Surrey have developed Artificial Intelligence that is able to predict symptoms and how severe they could be through the course of a patient's treatment. Two machine learning models were developed and are able to accurately predict the severity of common symptoms that affect cancer patients; namely depression, sleep disturbance and anxiety. Each of these symptoms can lead to a huge reduction in the patients' quality of life. The effective management of symptoms is critical in cancer treatment, and steps to assist oncology clinicians in planning their patients' course of treatment could progress into more effective treatments, and ones that are more aggressive against the cancer. Whilst patients were undergoing computed tomography x-ray treatment, researchers analysed symptoms they experienced.


Making Cars Intelligent and More Connected Fisheyebox

#artificialintelligence

There's no doubt in how Artificial Intelligence is redefining the human lives. Taking the thriving nature of AI as an inspiration, Fisheyebox Innovation Lab (Fisheyebox) was formed. Fisheyebox is a team of scientists, researchers, programmers, designers and automotive enthusiasts trying to make an AI for Good. The team at Fisheyebox is fundamentally working on human inspired driving and highly intelligent urban mobility solution. It does not intent to build cars, it wants to make them intelligent and more connected in an affordable way.


Artificial intelligence in Italy Statista

#artificialintelligence

This dossier presents figures on the artificial intelligence market in Italy and worldwide. Additionally, it contains data on the adoption of AI in Italian enterprises, with a focus on big data, as well as the results of various surveys on the public acceptance of AI technologies.