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."
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.
As 2020 has clearly shown us, nobody can actually predict the future. But there are some people who come pretty close, and their profession may surprise you. Data scientists (yes, you read that right) can practically predict the future of certain industries using big data and a coding language called Python. Knowing that, it's not hard to see why Glassdoor named data scientists the third most desired job in the US, with over 6,500 openings, a median base salary of $107,801, and a job satisfaction rate of 4.0. If you're looking for a new career path with a handsome salary and the ability to basically predict the future, check out this e-book and course bundle to get started.
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.
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.
Chief Technology Officer at Integrity Management Services, Inc., where she is leading cutting edge technology solutions (AI) for clients. In his book Talking with Strangers, Malcolm Gladwell discusses an AI experiment that looked at 554,689 bail hearings conducted by New York City judges. As one online publication noted, "Of the more than 400,000 people released, over 40% either failed to appear at their subsequent trials or were arrested for another crime." However, decisions recommended by the machine learning algorithm on whom to detain or release would have resulted in 25% fewer crimes. This is an example of an AI system that is less biased than a human.
The recent report on "Global Artificial Intelligence(AI) in Retail Market Size, Status and Forecast 2020-2026" offered by Researchmoz.us, Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the "Artificial Intelligence(AI) in Retail market". This is the most recent report inclusive of the COVID-19 effects on the functioning of the market. It is well known that some changes, for the worse, were administered by the pandemic on all industries. The current scenario of the business sector and pandemic's impact on the past and future of the industry are covered in this report.
The abundance of knowledge and resources can be at times overwhelming specifically when you are talking about new age technologies like Natural Language Processing or what we popularly call it as NLP. When trying to educate yourself, you should always choose resources with solid base and fresh books to impart unprecedented package of learnings. Here is the list of top books that can help you expand your NLP knowledge. One of the most widely referenced and recommended NLP books, written by Stanford University professor Dan Jurafsky and University of Colorado professor James Martin, provides a deep-dive guide on the subject of language processing. It's intended to accompany undergraduate or advanced graduate courses in Natural Language Processing or Computational Linguistics. However, it's a must-read for anyone diving into the theory and application of language processing as they grow and strengthen their analytics capabilities.
Spiketrap, an AI-powered consumer intelligence platform, announces that it has closed a $3M seed round led by Susa Ventures with participation from 645 Ventures, Pathbreaker Ventures, Oceans Ventures, WndrCo, SV Angel, Anorak Ventures, Harry Stebbings of 20VC, as well as strategic angels. Ninety percent of all data on the internet is unstructured, and brands that neglect this data are making major decisions on a fraction of total information. Spiketrap's AI-powered platform enables companies and brands to understand conversations at scale in real-time, accelerating customers' speed-to-insight and providing rich data for data-driven decision-making. Its proprietary technology is capable of ingesting massive amounts of data in real-time and to contextually understand what is being discussed while eliminating spam and noise. "As an investor, I've never seen a product become indispensable for the top companies in an industry so quickly," says Leo Polovets, Co-Founder and General Partner, Susa Ventures.