'FINISH THE JOB' - President Biden officially announces bid for re-election, Harris to remain as running mate. NO CASH, NO PRIVACY - Biden admin is quietly planning for a future where you don't own money, writes Justin Haskins. CENTENNIAL CELEBRATION - Minnesota WWII veteran marks turning 100 years old, wishes today's young people had'more backbone.' 'SCI-TECH BULLYING' - China fumes as Biden admin aims to starve country of AI, tech-related investments. 'PULLING THE STRINGS' - White House furiously consulting eco groups ahead of expected power plant crackdown.

In Libya, Bayraktar TB2 drones helped the official government in Tripoli stamp down an uprising by warlord Khalifa Haftar. In Nagorno-Karabakh, they played a decisive role in Azerbaijan's victory over Armenia, after which autocrat Ilham Aliyev celebrated by presenting footage of drone strikes on video screens in the capital city of Baku. The Ukrainians mainly deployed them in the first months of the war, before Russian air defenses adapted their strategy. The fact that the drones are supplied primarily to countries that are close to the Erdoğan government is conspicuous. Baykar is the flagship of Turkey's defense industry, which has grown tenfold since Erdoğan came to power in 2003.

Panelists Katie Pavlich, Juan Williams and Guy Benson join "Special Report with Bret Baier" to discuss President Joe Biden's anticipated presidential reelection announcement and the possible "age issue." Rep. Ronny Jackson, who was a White House physician to multiple presidents, is circulating a letter among House Republicans demanding that President Joe Biden take a cognitive test or drop out of the 2024 race. Jackson, R-Texas, led previous calls for Biden to take a cognitive test, including one in July 2022 that was signed by more than 50 House Republicans. The latest letter comes as Biden is widely expected to officially announce his 2024 campaign this week. "We call on you to either resign immediately and renounce your bid for reelection or submit to a clinically validated cognitive screening assessment and make those results available to the public," says Jackson's letter, which is addressed to Biden.

Many companies are working to build AGI (artificial general intelligence), defined as "AI that can learn and perform most intellectual tasks that human beings can, including AI development." Below we'll discuss why this may rapidly lead to superintelligence, defined as "general intelligence far beyond human level". I'm often told that AGI and superintelligence won't happen because it's impossible: human-level Intelligence is something mysterious that can only exist in brains. Such carbon chauvinism ignores a core insight from the AI revolution: that intelligence is all about information processing, and it doesn't matter whether the information is processed by carbon atoms in brains or by silicon atoms in computers. AI has been relentlessly overtaking humans on task after task, and I invite carbon chauvinists to stop moving the goal posts and publicly predict which tasks AI will never be able to do.

For almost two decades after it opened in 1913, Michigan's Central Station was a major stop on the nation's interurban rail network. Then the private car took over the US, and Detroit declined. By the 1970's, white residents were fleeing to the suburbs, auto jobs were leaving the state and the country, and local corruption soared. At the turn of the century, the train depot and the 18-story office towers behind it had been abandoned for 30 years, the faded exterior looming over Detroit's Corktown and Mexicantown neighborhoods, a sign that things were going very poorly in Detroit. By 2018, the city and Ford Motor Company were ready to tell another story.

Five months after ChatGPT set off an investment frenzy over artificial intelligence, Beijing is moving to rein in China's chatbots, a show of the government's resolve to keep tight regulatory control over technology that could define an era. The Cyberspace Administration of China this month unveiled draft rules for so-called generative AI -- the software systems, like the one behind ChatGPT, that can formulate text and pictures in response to a user's questions and prompts. According to the regulations, companies must heed the Chinese Communist Party's strict censorship rules, just as websites and apps have to avoid publishing material that besmirches China's leaders or rehashes forbidden history. The content of AI systems will need to reflect "socialist core values" and avoid information that undermines "state power" or national unity. This could be due to a conflict with your ad-blocking or security software.

Psychiatrist Dr. Carl Marci, managing director of mental health and neuroscience at OM1 in Boston, told Fox News Digital how his firm's new AI platform could help improve patient care. Suicide is now the 11th leading cause of death in the country -- and the second among people between 10 and 35 years of age and fifth among those aged 35 to 54, per the report. As the need for mental health care escalates, the U.S. is struggling with a shortage of providers. To help fill this gap, some medical technology companies have turned to artificial intelligence as a means of possibly making providers' jobs easier and patient care more accessible. CHATGPT FOR HEALTH CARE PROVIDERS: CAN THE AI CHATBOT MAKE THE PROFESSIONALS' JOBS EASIER?

Fox News contributor Joe Concha joins "Fox & Friends First" to discuss Elon Musk's warning that artificial intelligence could threaten elections and his concerns on the declining birth rate. China is outraged at the Biden administration's plan to steer investment in artificial intelligence away from China and toward other countries, warning that it may take steps to counteract what it calls U.S. "bullying" in the tech sector. The administration for months has hinted that it is developing an executive order aimed at keeping AI and other technology-related investments, such as semiconductors and quantum computing, out of China in order to help the U.S. maintain its competitive edge. Several reports say the administration may be looking to launch the initiative at a mid-May meeting of the Group of Seven nations in Japan. But in a briefing last week, a spokesperson for China's Ministry of Foreign Affairs said China is "firmly opposed" to this idea and accused the U.S. of pursuing "selfish interests" using "economic coercion."

Modern advanced manufacturing and advanced materials design often require searches of relatively high-dimensional process control parameter spaces for settings that result in optimal structure, property, and performance parameters. The mapping from the former to the latter must be determined from noisy experiments or from expensive simulations. We abstract this problem to a mathematical framework in which an unknown function from a control space to a design space must be ascertained by means of expensive noisy measurements, which locate optimal control settings generating desired design features within specified tolerances, with quantified uncertainty. We describe targeted adaptive design (TAD), a new algorithm that performs this sampling task efficiently. TAD creates a Gaussian process surrogate model of the unknown mapping at each iterative stage, proposing a new batch of control settings to sample experimentally and optimizing the updated log-predictive likelihood of the target design. TAD either stops upon locating a solution with uncertainties that fit inside the tolerance box or uses a measure of expected future information to determine that the search space has been exhausted with no solution. TAD thus embodies the exploration-exploitation tension in a manner that recalls, but is essentially different from, Bayesian optimization and optimal experimental design.

Accurate and efficient prediction of polymer properties is of great significance in polymer design. Conventionally, expensive and time-consuming experiments or simulations are required to evaluate polymer functions. Recently, Transformer models, equipped with self-attention mechanisms, have exhibited superior performance in natural language processing. However, such methods have not been investigated in polymer sciences. Herein, we report TransPolymer, a Transformer-based language model for polymer property prediction. Our proposed polymer tokenizer with chemical awareness enables learning representations from polymer sequences. Rigorous experiments on ten polymer property prediction benchmarks demonstrate the superior performance of TransPolymer. Moreover, we show that TransPolymer benefits from pretraining on large unlabeled dataset via Masked Language Modeling. Experimental results further manifest the important role of self-attention in modeling polymer sequences. We highlight this model as a promising computational tool for promoting rational polymer design and understanding structure-property relationships from a data science view.