Shield AI’s alien ship-like surveillance drones get a half-billion funding boost

with the capacity to produce 1.

The team plans to achieve these goals by introducing a metamaterial paradigm into the development of construction materials for advanced use-case scenarios. Enough energy is produced to run low-power applicationsStudies have shown that the material is efficient enough to produce the electricity required to power the roadside sensors.

Researchers claim the project delivers the first composite material that features properties of compressibility and energy harvesting capabilities.This is owing to the material’s capability to power “chips embedded inside roads help self-driving cars navigate on highways when GPS signals are too weak or LIDAR is not working.the “electrical signals self-generated by the metamaterial concrete under mechanical excitations can also be used to monitor damage inside the concrete structure or to monitor earthquakes while reducing their impact on buildings.

 A metamaterial is any material engineered to have a property that is elusive to naturally occurring materialsCalifornia-based company also unveiled new hardware and software that would make supercomputer-created products like chatbots far less expensive to use daily.

500 per month for eight of Nvidia’s A100 or H100 flagship chips connected—it will be made available to a more extensive range of commercial clients.

“What we’ve done over the years with DGX is not just [create] a state-of-the-art supercomputer.Who was not comfortable using the phone?” This would allow the examination of how much bias or stereotyping the model introduces into its age and race predictions.

Study abstract:We test the hypothesis that language models trained with reinforcement learning from hu- man feedback (RLHF) have the capability to morally self-correct—to avoid producing harmful outputs—if instructed to do so.language models obtain two capabilities that they can use for moral self-correction: (1) they can follow instructions and (2) they can learn complex normative concepts of harm like stereotyping.

 Three data sets that have been created to measure bias or stereotyping were used by researchers Amanda Askell and Deep Ganguli to test a variety of language models of various sizes that have undergone various levels of RLHF training.there must also be some instances of people fighting back against this biased behavior in the training data—possibly in response to unfavorable remarks on websites like Reddit or Twitter.