The aim of brain-computer interfaces (BCIs), also called brain-machine interfaces (BMIs), is to improve the quality of life and restore capabilities to those who are physically disabled. Last week, researchers at the Georgia Institute of Technology and their global collaborators published a new study in Advanced Science that shows a wireless brain-computer interface that uses virtual reality (VR) and artificial intelligence (AI) deep learning to convert brain imagery into actions. The brain-computer interface industry is expected to reach USD 3.7 billion by 2027 with a compound annual growth rate of 15.5 percent during 2020-2027 according to Grandview Research. "Motor imagery offers an excellent opportunity as a stimulus-free paradigm for brain–machine interfaces," wrote Woon-Hong Yeo at the Georgia Institute of Technology whose laboratory led the study in collaboration with the University of Kent in the United Kingdom and Yonsei University in the Republic of Korea. The AI, VR with BCI system was assessed on four able-bodied human participants according to a statement released on Tuesday by the Georgia Institute of Technology.

The device sends weak electrical pulses into the brain to increase the efficiency of physical training. The product relies on the concept of neuro priming, i.e. using electrical stimulation to increase plasticity in the brain prior to an activity. According to the company, together with physical training, this results in increased strength, endurance, and muscle memory.

Sensors and algorithms are two fundamental elements to construct intelligent systems. The recent progress in machine learning (ML) has produced great advancements in intelligent systems, owing to the powerful data analysis capability of ML algorithms. However, the performance of most systems is still hindered by sensing techniques that typically rely on rigid and bulky sensor devices, which cannot conform to irregularly curved and dynamic surfaces for high‐quality data acquisition. Skin‐like stretchable sensing technology with unique characteristics, such as high conformability, low modulus, and light weight, has been recently developed to solve this issue. Here, the recent progress in the fusion of emerging stretchable electronics and ML technology, for bioelectrical signal recognition, tactile perception, and multimodal integration is summarized, and the challenges and future developments are further discussed.

I was recently consulting for an organisation that was looking to implement a framework to govern the implementation of Artificial Intelligence (AI) technologies. Like many organisations in their sector, they had been running various'lab' experiments for some time, and had seen positive results; but there was still something holding them back from wholesale investment. A major consulting firm had encouraged them to'accelerate' their innovation by using a framework to govern the roll-out. I asked them where they felt it needed more focus, and they responded saying that it felt somewhat vanilla, a re-hashing of any-old IT project management best practice. "Surely there is something different about AI", they asked?

Elon Musk's controversial startup to crate a'Matrix' interface to plug the human brain directly into a computer has raised over $27m, it has been revealed. Called Neuralink, SEC filings have revealed the scale of the firm for the first time. It has raised the $26.96 million of a technically still-open funding round that could grow to $100 million - although Musk took to Twitter to say the firm is no longer raising cash. Elon Musk's latest company Neuralink is working to link the human brain with a machine interface by creating micron-sized devices. Neuralink was registered in California as a'medical research' company last July, and he plans on funding the company mostly by himself.

Dr Jepsen told CNBC that the technology would speed up innovation - for example, filmmakers could potentially download their dreams and product designers could download their thoughts and send them to a 3-D printer. Dr Mary Lou Jepsen (pictured), a former Facebook and Google executive, founded Openwater in mid-2016 with the'moonshot' goal of communication with thought - to read and output ones thoughts. Dr Mary Lou Jepsen, Openwater's CEO, told CNBC that the technology would speed up innovation - for example, filmmakers could potentially download their dreams and product designers could download their thoughts and send them to a 3-D printer It will work on what Musk calls the'neural lace' technology, implanting tiny brain electrodes that may one day upload and download thoughts. Dr Mary Lou Jepsen's Openwater isn't the only one conducting research in the field of telepathy.Elon Musk's Neuralink company is working to link the human brain with a machine interface by creating micron-sized devices

We describe a cognitive assistant in early-stage development for the United States Air Force as an aid to contracting officers and potential commercial offerors for navigating the government-contracting process. The goal is easing compliance and affording flexibility and transparency so as to support an innovative and rapid acquisition process. The motivation, use cases, and technical approach for MICA, a Machine Interface for Contracting Assistance, are discussed here along with the technical challenges posed.