Rules governing the use of artificial intelligence across the EU will likely take over a year to be agreed upon. Last year, the European Commission drafted AI laws. While the US and China are set to dominate AI development with their vast resources, economic might, and light-touch regulation, European rivals – including the UK and EU members – believe they can lead in ethical standards. In the draft of the EU regulations, companies that are found guilty of AI misuse face a fine of €30 million or six percent of their global turnover (whichever is greater). The risk of such fines has been criticised as driving investments away from Europe. The EU's draft AI regulation classifies systems into three risk categories: Unacceptable risk systems will face a blanket ban from deployment in the EU while limited risk will require minimal oversight.

In the Czech Republic, the initial network of Digital Innovation Hubs (DIHs) in 2016 was very small – it included only two pioneer hubs raised from Horizon 2020 European projects focused on support of digital manufacturing (DIGIMAT located in Kuřim was the first one) and high-performance computing (the National Supercomputing Centre IT4Innovations located in Ostrava was the first DIH registered in CZ). Since then, the Czech network has enlarged up to twelve DIHs and their specialisation varies from manufacturing, cybersecurity, artificial intelligence, robotics, high-performance computing up to sectoral focus such as agriculture and food industry, health or smart cities and smart regions development. How are the Czech DIHs built and structured? They are based often on a leading competence centre, research organisation, technical university, science park, technology centre or the most active innovations-supporting NGOs who have created an efficient consortium of other partners around them, always following the selected field of specialisation. The DIHs in Czechia, as well as all over the Europe, have not been built "on a green meadow" – as we say in Czech, but based on a record of projects, activities and common references that have created the optimal mixture of the DIH s expertise and capacities.

Humans are already being out-manoeuvred in simulations by F-16s armed with algorithms--a new sci-fi war reality is approaching. In 2022, the pilot of an F-16 fighter jet will jink hard to the right and flick over into a roll, struggling to evade the plane behind them. Years of training and experience will suddenly become redundant. The AI algorithm controlling the chasing plane will have changed the face of war forever. AI first demonstrated the sorts of aerobatic skills needed for dogfighting back in 2008.

Life is underpinned by fungi. Fungal filaments extend through the soil in networks of mycelia, but we know relatively little about them and questions abound, including where on Earth they are and in what diversity and abundance. Vast and powerful, mycelial networks sequester carbon, hold soils together and supply as much as 80 per cent of all nutrients to terrestrial plants. In just one hectare of grassland, the extent of fungi is equivalent to around 12 million times the length of the Amazon River. But just like the distributions of plant species, those of fungi are almost certainly shifting in response to climate change.

More than one year after regulators in the United Kingdom vowed to analyze the impact of artificial intelligence (AI), a report details the challenges and recommends governance of the controversial tech tool. The report, "Artificial Intelligence Public-Private Forum," by the Bank of England and the Financial Conduct Authority (FCA) was launched in 2020 to gather views on potential regulations that could be useful in supporting safe adoption of AI. The 47-page document explores barriers to adoption, how to address them and mitigate potential risks. But researchers concluded given AI's rapid evolution, there are no clear answers yet. The forum operated for one year.

For many businesses, artificial intelligence (AI) is one of the most important technological innovations of our current times. One such are of application is with cybersecurity, from live defence technologies to finding out about threat attacks before they happen. This interest is borne out by the finding that by 2026 the AI in cybersecurity market is projected to reach $38.2 billion USD. Other applications include AI being used to identify and prioritize risks and instantly spot any malware on the network to guide cybersecurity incident response. To do so involves new forms of human-machine partnerships.

Cybersecurity threats are evolving at an alarming pace. There's nothing new about that – cybercriminals are always seeking new ways to compromise business systems, so as soon as one threat is identified and neutralised, we should already be on the lookout for the next. COVID-19 has, if anything, only accelerated this evolution thanks to the vulnerabilities presented by rapid digital transformation and the transition to remote working – coupled with uncertainty that bad actors have been only too happy to exploit. It goes without saying that IT teams need to be properly equipped to deal with these threats, but alarmingly, there is evidence that many IT decision-makers do not feel that they are properly set up for this mammoth task. A recent AI/ML report from Carbonite Webroot revealed that both enterprise organisations and SMBs (small- and medium-sized businesses) believe they've been harder hit by cyber attacks in the last year than in those before. However, just 19% of enterprise IT decision-makers say their current tools help stop all their cyber security-related threats, down from 36% in the company's previous annual survey.

Artificial Intelligence (AI) is no longer a future-gazing technology but something that humans interact with every day. It continues to bring new possibilities into different facets of life and work, with the pace of change promising even more innovation in the years to come. Whether it is improved efficiency, the creation of new industries or cost reduction, the benefits to our economy seem endless. According to PwC, AI has the potential to contribute $15.7 trillion to the global economy by 2030 and boost the GDP up by 26% in local economies in the same time frame. In fact, even the UK Government acknowledges the role AI can play in society. Last year, the UK Government launched its National AI Strategy – a 10 year plan with the aim of positioning the country as a global leader in the governance of AI technologies.

Deep Neural Networks are highly expressive machine learning networks that have been around for many decades. In 2012, with gains in computing power and improved tooling, a family of these machine learning models called ConvNets started achieving state of the art performance on visual recognition tasks. Up to this point, machine learning algorithms simply didn't work well enough for anyone to be surprised when it failed to do the right thing. In 2014, a group of researchers at Google and NYU found that it was far too easy to fool ConvNets with an imperceivable, but carefully constructed nudge in the input [1]. Let's look at an example.

"We must do something about the investment China is making in cyber and AI, as well, because in certain spheres, I believe they are much ahead of us," said Daniel Robinson, CEO and founder of Red 6. FORMER PENTAGON OFFICIAL'NOT SURPRISED' BY CHINESE LAUNCH, SAYS US IS RUNNING OUT OF TIME IN AI RACE Robinson and his team developed what they call a "revolutionary approach" to augmented reality – a technology that enables fighter pilots to go up in real airplanes and train against virtual enemies. "The whole reason I started this company is pilots must fly," Robinson, a former F-22 pilot, told Fox News. "We can't do this in simulators." "The beautiful thing with this technology is it's reset, reset, reset," Robinson continued. He said a traditional flight hour may give a pilot three looks at a problem set.