This opinion piece is inspired by the old Danish proverb: "Making predictions is hard, especially about the future" (1). As every reader knows, the momentum of artificial intelligence (AI) and the eventual implementation of deep learning models seem assured. Some pundits have gone considerably further, however, and predicted a sweeping AI takeover of radiology. Although many radiologists support AI and believe it will enable greater efficiency, a recent study of medical students found very different reactions (2). While such doomsday predictions are understandably attention-grabbing, they are highly unlikely, at least in the short term.

As businesses, governments and consumers rely on digital systems to fulfil most of their daily operations, so do the risks of those systems being hacked increase. The more the technologies they adopt, the greater the hazards they have to face. In fact, new solutions to ease businesses daily operations such as Artificial Intelligence in Operative Systems and IT software huge databases, bring even more complexity to an already convoluted world. However, these new techs can also become their strongest allies! If properly developed and embraced, they can deliver new layers of security that build up a strong shield of protection against hackers.

On June 30, US Secretary of State Mike Pompeo's address to the UN Security Council calling for an arms embargo on Iran to be extended was expected to dominate the international news agenda. However, Iran's judiciary stole the morning's headlines by issuing an arrest warrant for Donald Trump the day before. Tehran prosecutor Ali Alqasimehr said on Monday that Trump, along with more than 30 others accused of involvement in the January 3 drone attack that killed Iran's top general, Qassem Soleimani, face "murder and terrorism charges". The prosecutor added that Tehran asked Interpol for help in detaining the US president. The same day, the US special envoy for Iran, Brian Hook, denounced the warrant as a "propaganda stunt" at a press conference in the Saudi capital, Riyadh.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. After raiding Usama Bin Laden's compound, the government used artificial intelligence to discover future al-Qaida plans. That CIA-led raid took place on May 2, 2011, killing Bin Laden, America's most wanted terrorist and the founder of al-Qaida, the group responsible for the Sept. 11 attacks. "The large quantity of materials collected from the compound required time for a thorough review," the CIA said in a report about the raid, adding the agency "led a multi-agency task force to prioritize, catalogue, and analyze them for intelligence about al-Qa ida's affiliates, plans and intentions and current threats."

Artificial Intelligence, the term which first originated in the 1950s has now emerged as a prominent buzzword all over the world. More than 15% of companies are using AI and it is proving to be one of the most powerful and game-changing technology advancements of all time. From Siri to Sophia, the technology has people noticing it and wondering how this will impact their future. Presently, Artificial Intelligence is seen everywhere. Major industries like healthcare, education, manufacturing, and banking are investing in AI for their digital transformation. Cybersecurity, being the major concern of the digital world, is still uncertain about the impact AI will have on it. With the fast-growing cyber attacks and attackers, cybercrime is growing to become a  massively profitable business which is one of the largest threats to every firm in the world. For this very reason, many companies are implementing Artificial Intelligence techniques which automatically detect threats and fight them without human involvement. How AI Is Enhancing Cybersecurity Artificial Intelligence is improving cybersecurity by automating complicated methods which detect attacks and react to security breaches. This leads to improvement in monitoring incidents leading to faster detection of threats and its consequent responses. These two aspects are quite essential as they minimize the damages caused. Various Machine Learning algorithms are adapted for this process depending on the data obtained. In the field of cybersecurity, these algorithms can identify exceptions and predict threats with greater speed and accuracy.

Leader in AI-powered cancer diagnostics, Ibex Medical Analytics and provider of digital pathology services in the NHS, LDPath, have announced the UK's first rollout of clinical grade AI application for cancer detection in pathology. This platform will support pathologists in enhancing diagnostic accuracy and efficiency. Over the years, a global increase in cancer cases has coincided with a decline in the number of pathologists around the world. Traditional pathology involves manual processes that have remained the same for years. These processes involve slides to be analysed by pathologists using microscopes, and reporting is often carried out on pieces of paper.

Yesterday, AIM published an article on how difficult it is for the small labs and individual researchers to persevere in the high compute, high-cost industry of deep learning. Today, the policymakers of the US have introduced a new bill that will ensure deep learning is affordable for all. The National AI Research Resource Task Force Act was introduced in the House by Representatives Anna G. Eshoo (D-CA) and her colleagues. This bill was met with unanimous support from the top universities and companies, which are engaged in artificial intelligence (AI) research. Some of the well-known supporters include Stanford University, Princeton University, UCLA, Carnegie Mellon University, Johns Hopkins University, OpenAI, Mozilla, Google, Amazon Web Services, Microsoft, IBM and NVIDIA amongst others.

Whether or not your organisation suffers a cyber attack has long been considered a case of'when, not if', with cyber attacks having a huge impact on organisations. In 2018, 2.8 billion consumer data records were exposed in 342 breaches, ranging from credential stuffing to ransomware, at an estimated cost of more than $654bn. In 2019, this had increased to an exposure of 4.1 billion records. While the use of artificial intelligence (AI) and machine learning as a primary offensive tool in cyber attacks is not yet mainstream, its use and capabilities are growing and becoming more sophisticated. In time, cyber criminals will, inevitably, take advantage of AI, and such a move will increase threats to digital security and increase the volume and sophistication of cyber attacks.

Thanks to open banking, fintech early adopters likely already have accounts that round up transactions to boost savings or connect to third-party tools for loan applications, budget management and more. But the new wave of fintech startups are proving there's much more that can be done using open banking, the two-year-old mandate from UK regulators that required banks to easily allow their customers to share their data with third parties such as apps. "Open banking offers people the chance to get personalised, tailored support to help them manage their money by allowing regulated companies to securely analyse their bank data," says Lubaina Manji, senior programme manager at Nesta Challenges, one of the organisations behind the Open Up 2020 Challenge, alongside the Open Banking Implementation Entity (OBIE). "It's enabled the creation of new services and tools to help people with every aspect of money management – from budgeting to investing, and much, much more, all in a safe and secure way." And some of the innovations from finalists in the Open Up 2020 Challenge have surprised with their ingenuity and customer focus, she says, citing Sustainably's round-up tool for automated charity donations, and Kalgera's neuroscience-informed AI to help spot fraud targeting people with dementia – two projects that highlight the purpose-driven idea behind open banking and the aim to get financial support to show who need it the most.

Poor management of artificial intelligence projects in the Department of Defense could erode the United States' competitive advantage in the emerging technology, the Defense Department's watchdog warned in a July 1 report. The DoD inspector general suggested the Joint Artificial Intelligence Center, established to facilitate the adoption of artificial intelligence tools across the department, take several steps to improve project management, including determining a standard definition of artificial intelligence, improving data sharing and developing a process to accurately track artificial intelligence programs. The JAIC missed a March 2020 deadline to release a governance framework. It still plans to do so, according to the report, but that date is redacted in the report. The inspector general started the audit to determine the gaps and weaknesses in the department's enterprise-wide AI governance, the responsibility of the JAIC.