sawicki
Expert argues against federal AI agency despite growing momentum for idea on Capitol Hill
Center for A.I. Safety Director Dan Hendrycks explains concerns about how the rapid growth of artificial intelligence could impact society. People need to change how they're thinking about regulating artificial intelligence, according to a prominent expert in the field, who pushed back on an idea gaining traction among lawmakers to create a new government agency to regulate AI. "Regulation is a really hard question," Andres Sawicki, a professor of law and director of the business of innovation, law, and technology (BILT) concentration at the University of Miami, told Fox News Digital. "The topic of AI is too big to be handled in one big coherent manner." Rather than tackling AI in a sweeping, comprehensive way, Sawicki recommend a more pragmatic, piecemeal approach. "Look specifically and concretely at effects the technology is having, the impact of AI on this or that issue. There shouldn't be a Department of AI to handle this in one big swoop."
- North America > United States > District of Columbia > Washington (0.05)
- Asia > China (0.05)
- Government (1.00)
- Law > Statutes (0.70)
This soft-shelled exosuit might put Iron Man's duds to shame
This might not sound like a flashy result. But at their core, exosuits make the body move more efficiently. Take, arguably the most famous fictional exosuit, the one worn by Tony Stark's Iron Man. It might boast jet propulsion and lasers, but when Iron Man punches someone the suit is simply taking Tony's energy and magnifying it. Put a 9-year-old in the Iron Man suit and he'd be a very strong 9-year old--but not as strong as Tony, a grown man, wearing the same device.
Semiconductor Engineering .:. DAC Day Three: UVM, Machine Learning And DFT Come Together
The industry and users have a love/hate relationship with UVM. It has quickly risen to become the most used verification methodology and yet at the same time it is seen as being overly complex, unwieldy and difficult to learn. The third day of DAC gets started with breakfast with Accellera to discuss UVM and what we can expect to see in the next 5 years. The discussion was led by Tom Alsop, principle engineer at Intel. Alsop's first question to the panelists was, where do you see UVM in the next 5 years?
Semiconductor Engineering .:. DAC Day Three: UVM, Machine Learning And DFT Come Together
The industry and users have a love/hate relationship with UVM. It has quickly risen to become the most used verification methodology and yet at the same time it is seen as being overly complex, unwieldy and difficult to learn. The third day of DAC gets started with breakfast with Accellera to discuss UVM and what we can expect to see in the next 5 years. The discussion was led by Tom Alsop, principle engineer at Intel. Alsop's first question to the panelists was, where do you see UVM in the next 5 years?