- Deep Science AI merges with Defendry. Defendry was working on establishing automated workflows for internet of things devices including notifying a company when triggered by dangerous situations like weapons, fires, and robberies, or situations suggesting that a crime is about to begin. Similarly, Deep Science AI’s computer vision system could spot guns, masks, and other dangerous triggers from a CCTV footage.
- IBM develops ‘zero-noise extrapolation’ – repeating computation at varying levels of noise to estimate what a quantum computer would calculate in the absence of noise. More accurate and complex computations can be achieved without any hardware improvements. Increasing circuit depth (a measure of the number of sequential operations performed on the processor) leads to increased errors due to decoherence (loss of quantum coherence / information from a system in the environment). Zero-noise extrapolation technique mitigates the effect of decoherence while benefiting from increased circuit depth.
- Reinforcement learning requires a large amount of interactions in simulated or real-world conditions for learning to occur. Google proposes a new algorithm – Simulated Policy Learning (SimPLe) – using game models to learn quality policies in selecting actions. SimPLe learns a world model of how the game behaves and uses this model to optimize a policy for action taking (via model-free reinforcement learning). SimPLe uses medium-length rollouts to minimize prediction error. It takes four frames as input to predict the next frame along with the reward. After training, sample sequences of actions, observations, and outcomes are used to improve policies. The model-based reinforcement learning methods mitigates high cost and slow human labeling.
- Apple’s new credit card promises privacy. Goldman Sachs will use customers’ personal data to operate the card, but the data will not be shared or sold to third parties for advertising. Apple claims they would not know where customers have shopped, what they have paid, or bought. Spend tracking and categorization happens on-device, and not Apple servers – supposedly.
Q.bit 