Government
Vietnamese Americans help Afghan refugees: 'We were them'
Lara Logan joined Lt. Gen. William Boykin on'Fox News Primetime' to discuss the U.S. drone strike that killed 10 civilians, including seven children. Logan said the U.S. betrayal of Afghan allies caused a scarcity in intelligence. A 39-year-old doctor in Seattle, Wash., Do remembers hearing how her parents sought to leave Saigon after Vietnam fell to communist rule in 1975 and the American military airlifted out allies in the final hours. It took years for her family to finally get out of the country, after several failed attempts, and make their way to the United States, carrying two sets of clothes a piece and a combined $300. When they finally arrived, she was 9 years old.
ISIS claims responsibility for Afghanistan bombings in Jalalabad that targeted Taliban
Lara Logan joined Lt. Gen. William Boykin on'Fox News Primetime' to discuss the U.S. drone strike that killed 10 civilians, including seven children. Logan said the U.S. betrayal of Afghan allies caused a scarcity in intelligence. ISIS-K has claimed responsibility for a number of bomings in Jalalabad that it says specifically targeted the Taliban as tensions between the two groups continue to intensify. The Islamic State claimed responsibility through its Amaq News Agency for six explosions caused by improvised explosive devices (IED) on Saturday and Sunday. The explosions killed or injured over 35 Taliban members.
7 Differences Between a Data Analyst and a Data Scientist - KDnuggets
This article discusses the 7 key differences between data analysts and data scientists with an aim to help potential data analysts/scientists determine which is the right one for them. I touch on day-to-day tasks, skill requirements, typical career progression, and salary and career prospects for both.
Biden supports 'thorough investigation' into botched Afghan drone strike
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. President Joe Biden supports an investigation into the August drone strike that killed 10 civilians and up to seven children in Afghanistan, the White House said Monday. Explaining during the White House press briefing that Biden was briefed Friday morning regarding the Pentagon's report about the strike, White House press secretary Jen Psaki said, "I would say, first, the president's view – and all of our view – is that the loss of any civilian life is a tragedy." Psaki went on to reiterate comments from Secretary of Defense Lloyd Austin and Gen. Kenneth McKenzie that the drone strike was "done in error," and affirmed that "clearly, the investigation that will continue is something the president broadly supports."
Did DeepMind just make a big step toward more human-like A.I.? – Fortune
This is the web version of Eye on A.I., Fortune's weekly newsletter covering artificial intelligence and business. To get it delivered weekly to your in-box, sign up here. In January 2020, in a Fortune magazine cover story, I chronicled the corporate race for artificial general intelligence, a kind of human-like or even superhuman A.I. that is the staple of science fiction. The pursuit of AGI, as it's more commonly called, has led to many of the machine learning innovations that underpin the current A.I. boom. But that boom is centered around narrow A.I--software that can perform one, specific task well.
Karol Markowicz: Biden's at the beach as crises mount and our cheerleader media shrugs
'Outnumbered' panel discusses the multiple crises including the Afghanistan drone strike and border surge that could define Biden's presidency After yet another weekend out of sight, Americans should be wondering if our president even wants the job. Joe Biden's campaign was famous for calling early "lids," that is sending his traveling press home for the day before the day was even half over. Campaigns are normally furiously busy events known for crushing schedules and exhausting programming. His was a mellow affair, mostly done on a video feed from his home. The official excuse was COVID-19 and while it certainly made sense that a then-77 year old man might be concerned about catching the virus and would therefore limit his in-person exposure, it didn't make sense that even his remote events were extremely limited and rare.
Pete Hegseth: Biden's 'over-the-horizon' counterterror strategy was 'utterly insufficient,' led to tragedy
'Fox & Friends Weekend' co-host Pete Hegseth reacts to the U.S. drone strike that killed civilians instead of ISIS-K members in Afghanistan. Fox News host Pete Hegseth ripped the Biden administration's failed "over-the-horizon" counterterrorism strategy on "The Faulkner Focus" Monday after the Pentagon admitted August's U.S. drone strike targeting ISIS-K members in Afghanistan killed civilians instead. PETE HEGSETH: I'll give a lot of deference to our military in almost every situation, meaning the intentions of that drone operator, the intentions of those attempting to find ISIS bombers based on whatever intelligence we had, those were righteous intentions, they were attempting to keep Americans there safe. And I don't think there was ever an intent to kill civilians. And I don't put that on Joe Biden or General McKenzie or General Milley.
How To Implement Machine Learning In Business? - ONPASSIVE
Every business has to protect its crucial data from hackers, and machine learning protects business data from cyberattacks. Here's a rundown of the most prevalent risks that cybersecurity professionals face today: Malware is a sort of software that may be used to carry out a range of harmful actions. Some malware strains are meant to get persistent network access, while others are designed to spy on the user to collect passwords or other vital information, and still, others are just designed to cause disruption. When an attacker attempts to trick an unwary victim into disclosing essential data such as passwords, credit card information, proprietary information, and so on, this is known as a phishing attack. Phishing attempts frequently take the shape of an email purporting to be from a genuine institution, such as your bank, the IRS, or another reliable source. Phishing is the most frequent type of cyber-attack, owing to its ease of execution and unexpected effectiveness.
Want to win with AI? Focus on your leadership, not the competition.
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. You could say that when it comes to AI, companies today are engaged in a competition reminiscent of the '60s space race. So it should be no surprise that OODA, an old pilot's acronym for "observe, orient, decide and act," has been co-opted by those wanting to amass business advantages through the use of data and machine learning. The OODA loop for AI updates the language, but the intent is just the same. The more data you have, the better your models get.
The Path to Fairer AI Starts With Audits, Standards
Ethical principles aren't enough to defend against the worst potential impacts of artificial intelligence systems and the time has come for the U.S. to establish official legal policies for this emerging technology, said policy and technology experts during a recent report launch event from New America's Open Technology Institute. That work requires clearly defining terms and enforcement measures, and speakers sought to propose mechanisms that can help government promote fairness, accountability and transparency (FAT) in algorithmic systems, as well as outline the challenges that lie ahead. They called for the federal government to regulate how private firms like online content platforms develop and leverage AI as well as establish formal policies for overseeing and vetting the algorithmic systems public agencies adopt and purchase. Such AI audits are currently voluntary, said Spandana Singh, policy analyst at the Open Technology Institute and co-author of the report. AI can deliver newfound efficiencies, extract meaning from troves of data and deliver a variety of other benefits, but the complexity, opacity and lack of foresight in some of these systems means they can be designed, implemented or evolve in ways that produce biased and discriminatory effects.