Innovation News Network brings you the latest research and innovation news from the fields of science, environment, energy, critical raw materials, technology, and electric vehicles.
Ensuring fish welfare in aquaculture with new digital app
Marineholmen RASLab CEO Mark Powell discusses their newly developed app-based tool for monitoring fish welfare in aquaculture.
Nuclear physics – more than a passion, more than just a career
Professor Stuart Pittel from the University of Delaware provides his reflections on a career in nuclear structure theory.
Generating functional cartilage tissue by 3D bioprinting stem cells
A team of Swedish researchers have devised an innovative method to produce functional cartilage by 3D bioprinting stem cells.
Today, several hundreds of millions of...
Computer vision with AI may revolutionise IVF treatment
A new study has indicated that the combination of computer vision and Artificial Intelligence (AI) may enhance IVF treatment.
New radar system enhances emergency responder technology
Researchers have developed a new radar system that produces real-time images and videos through the utilisation of radio signals.
The evolving face of fish welfare in the aquaculture industry
In the world of fish welfare, Flatsetsund Engineering pioneer technology needed to eliminate sea lice and save the salmon industry.
Mysteries of the Universe: What is it made of and where does it come...
Dr Katy Clough discusses how her STFC Ernest Rutherford Fellowship will enable her to investigate the biggest mysteries of the Universe.
RS Mines’ crystalline vein graphite – the ‘new oil’ for electric batteries
RS Mines, pioneers of the exploration and mining of Sri Lankan Crystalline Vein Graphite, present the Queen’s Mine – the highest quality graphite from the world’s largest graphite resource.
Study on the cosmic dawn deciphers origins of the universe
New UK-led research into the cosmic dawn has revealed that it took place 250 million to 350 million years after the big bang.
Predicting future ozone layer levels with Artificial Intelligence
A new Artificial Intelligence (AI) system has been demonstrated to forecast dangerous ozone layer levels up to two weeks in advance.