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Could microscale concave interfaces help self-driving cars read road signs? – Physics World


A structural colour technology that produces concentric rainbows could help autonomous vehicles read road signs, scientists in the US and China claim. As well as exploring the physics of these novel reflective surfaces, the researchers show that they can produce two different image signals at the same time. Autopilot systems that read both signals would be less likely to misinterpret altered road signs, they suggest. Car autopilot systems use infrared laser-based light detection and ranging (lidar) systems to scan their environment and recognize traffic situations. To read signs, autonomous vehicles rely on visible cameras and pattern recognition algorithms.

Artificial intelligence success is tied to ability to augment, not just automate


Artificial intelligence is only a tool, but what a tool it is. It may be elevating our world into an era of enlightenment and productivity, or plunging us into a dark pit. To help achieve the former, and not the latter, it must be handled with a great deal of care and forethought. This is where technology leaders and practitioners need to step up and help pave the way, encouraging the use of AI to augment and amplify human capabilities. Those are some of the observations drawn from Stanford University's recently released report, the next installment out of its One-Hundred-Year Study on Artificial Intelligence, an extremely long-term effort to track and monitor AI as it progresses over the coming century.

The Scientist and the A.I.-Assisted, Remote-Control Killing Machine


That afternoon, he and his wife would leave their vacation home on the Caspian Sea and drive to their country house in Absard, a bucolic town east of Tehran, where they planned to spend the weekend. Iran's intelligence service had warned him of a possible assassination plot, but the scientist, Mohsen Fakhrizadeh, had brushed it off. Convinced that Mr. Fakhrizadeh was leading Iran's efforts to build a nuclear bomb, Israel had wanted to kill him for at least 14 years. But there had been so many threats and plots that he no longer paid them much attention. Despite his prominent position in Iran's military establishment, Mr. Fakhrizadeh wanted to live a normal life. And, disregarding the advice of his security team, he often drove his own car to Absard instead of having bodyguards drive him in an armored vehicle. It was a serious breach of security protocol, but he insisted. So shortly after noon on Friday, Nov. 27, he slipped behind the wheel of his black Nissan Teana sedan, his wife in the passenger seat beside him, and hit the road. Since 2004, when the Israeli government ordered its foreign intelligence agency, the Mossad, to prevent Iran from obtaining nuclear weapons, the agency had been carrying out a campaign of sabotage and cyberattacks on Iran's nuclear fuel enrichment facilities.

Pentagon Admits Kabul Drone Strike Was "Horrible Mistake" That Killed 10 Civilians


After insisting it had been a "righteous strike," the Pentagon finally faced up to the facts and acknowledged that the last U.S. drone strike in Afghanistan before the withdrawal of American troops was a "horrible mistake" that killed 10 civilians, including as many as seven children. The admission came after news organizations, including the New York Times and Washington Post, had published reports casting doubt on the official version of events that claimed the Aug. 29 drone strike had stopped an imminent attack on the Kabul airport. Military officials now admit that pretty much everything they believed when they carried out the strike was wrong. The driver that the drone targeted and officials believed was a terrorist was actually Zamarai Ahmadi, a longtime aid worker for a U.S.-based group. Officials believed he had loaded explosives in the trunk of a white Toyota, but in fact he was likely carrying water bottles.

Can robots replace humans?


Technology has become dishy for the splendidness of its advancement and spellbinding charisma. All of us are certainly amazed when it comes to robots. The technical feasibilities of computer robots are mesmerizing. Still, this must be kept in mind that human is the begetter of a tech boot. A robot can replace humans in a workplace where programmed memory, ultrahigh-speed, rigorous accuracy, literal precision, and quick work service are required.

Scope of Artificial Intelligence in Military Operations.


One of the most crucial sectors for the safety of any nation is the Military. The military has constantly engaged in upgrading its prowess by improving its technology for the artillery and also the technology to draw out tactical war strategies. Artificial intelligence in military operations should strive to achieve for modernization and international collaboration. This is a meticulous sector that needs to be careful on all fronts. A small miscalculation can compromise the security of a whole nation and may potentially even trigger unwanted wars.

Robot Journalism: A New Way of Reporting Breaking News


News stories are created by computer programs in automated journalism, also known as algorithmic journalism or robot journalism. Stories are generated automatically by computers rather than by human reporters thanks to artificial intelligence (AI) technologies. These programs analyze, organize, and present data in a form that is understandable to humans. Typically, an algorithm examines huge quantities of given data, chooses from a variety of pre-programmed article formats, organizes important points, and inserts information like names, places, amounts, rankings, statistics, and other numbers. The output may be tailored to a specific voice, tone, or style.

How AI is revolutionizing the manufacturing industry


Manufacturing plays a big role in today's society. With the impact of the recent pandemic, the industry has shifted to a digital transformation and the oncoming of the industrial revolution 4.0. With the application of AI, companies have gained operational efficiency and increased production quality while reducing risk and improving safety. If I say the word "manufacturing," would it capture your attention? What if I mention Apple and their "California Streaming" event from a couple days ago?

Tucker Carlson: The Biden administration finally forced to stop lying

FOX News

Fox News host slams Milley for allegedly wanting to share information with the Taliban and weighs in on the U.S. mistakenly striking civilians on'Tucker Carlson Tonight' As American forces were pulling out of Afghanistan this summer, Mark Milley, the chairman of the Joint Chiefs of Staff, announced a new and highly innovative intelligence partnership. The Pentagon, Milley said, would begin sharing classified information with the Taliban -- the bearded religious extremists in man pajamas that for 20 years we've been told pose a major threat to the United States. The Biden administration, Milley explained, was open to coordinating with the Taliban on counterterrorism strikes against our new enemies -- a shadowy group that may or may not actually exist, called "ISIS-K": Mark Milley, September 1: We don't know what the future of the Taliban is, but I can tell you from personal experience that this is a ruthless group from the past and whether or not they change remains to be seen. And as far as our dealings with them at that airfield or in the past year or so in war, you do what you must in order to reduce risk emission and force, not what you necessarily want to do. Reporter: Any possibility of coordination against ISIS-K with them (the Taliban) do you think? Because when you are fighting ISIS-K, no holds are barred.

Machine Learning to Understand and Prevent Disease


An unimaginable amount of data is continually being generated by scientific experiments, longitudinal studies, clinical trials, and hospital records--but what can be done with all this information? Barbara Engelhardt (she/her), PhD, is building machine-learning models and statistical tools to make use of that data and find ways to better understand, and even prevent, disease. She is now joining Gladstone Institutes as a senior investigator. "Barbara is an innovator in computational biology," says Katie Pollard, PhD, director of the Gladstone Institute of Data Science and Biotechnology. "She brings vast expertise in statistical models and will help expand our machine-learning program. We're thrilled she's joining our team."