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.
UK regulators have criticized a browser deal between Apple and Google as a "significant" barrier to search engine competition. The CMA claims that current laws are not enough to properly manage and regulate large technology companies and their platforms, such as Apple, Google, or Facebook, and in particular, deals between different entities can become barriers to innovation and competition. Within the report, the agency highlights a deal made in 2019 between Google and Apple, in which the former paid roughly £1.2 billion ($1.5bn) to become the default search engine on a variety of mobile devices and systems in the United Kingdom alone. According to the regulators, the iPhone and iPad maker received the lion's share of this payment. "Rival search engines to Google that we spoke to highlighted these default payments as one of the most significant factors inhibiting competition in the search market," the CMA says.
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.
Fighter jets belonging to a Saudi-led coalition battling Yemen's Houthi rebels have launched dozens of air raids on several Yemeni provinces, as the kingdom announced the start of a new military operation. The Houthi-run Al Masirah Media Network reported air raids on the capital, Sanaa, as well as Marib, al-Jouf, al-Bayda, Hajjah and Saada provinces throughout Wednesday and into the night. It said an elderly woman and a child were killed and four others wounded in Saada province. In Sanaa, residents described the air raids, which also struck the city's international airport, as "violent". Saudi state television reported earlier on Wednesday that the coalition had begun a military push against the Houthis after the group stepped up cross-border missile and drone attacks on the kingdom.
Nowadays it's hard to find a single industry where machine learning and data science aren't being used to improve productivity and deliver results. Indeed that is why people are so excited about the promise of artificial intelligence: it can be applied to so many diverse problem spaces effectively and it works! This list has been aggregated after analyzing over 200 company descriptions, and we've broadly organized them by the problem domain being tackled and have included a brief description of their mission. TLDR: A framework for providing data integrations and web interfaces for trained machine learning models. TLDR: Develops medical imaging tools powered by AI to help improve the efficacy of radiologists in detecting illnesses.
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.
For better or worse, there's a good chance your current love life owes something to automation. Even if you're just hooking up with the occasional Tinder fling (which if you are, no judgment), you're still turning to Tinder's black-box algorithms to pick out that fling for you before turning to more black-box algorithms to pick out the best dingy bar to meet them at before turning to more black-box algorithms to figure out what, exactly, should be your date night lewk. If things get serious further down the line, you might turn to another black-box algorithm to plan your entire damn wedding for you. And if it turns out you got married for all the wrong reasons, it turns out there's another set of black boxes you can plug your details into to settle the details of your divorce. Known as "amica," the service was rolled out yesterday by the Australian government as a way to let soon-to-be-exes "make parenting arrangements" and "divide their money and property" without having to go through the hassle of hiring a lawyer to do the heavy lifting.