Telstra CEO Vicki Brady will oversee 209 job cuts, as the telco rolls out AI capabilities and sends some jobs offshore. It comes after a $700m joint venture in 2025 with technology consultancy Accenture. Telstra CEO Vicki Brady will oversee 209 job cuts, as the telco rolls out AI capabilities and sends some jobs offshore. It comes after a $700m joint venture in 2025 with technology consultancy Accenture. Some jobs will be moved offshore in wake of telco's $700m partnership with tech consultancy Accenture More than 200 Telstra jobs are expected to be cut, as the telco rolls out AI capabilities and sends some jobs to India.

In this paper, we propose polynomial forms to represent distributions of state variables over time for discrete-time stochastic dynamical systems. This problem arises in a variety of applications in areas ranging from biology to robotics. Our approach allows us to rigorously represent the probability distribution of state variables over time, and provide guaranteed bounds on the expectations, moments and probabilities of tail events involving the state variables. First, we recall ideas from interval arithmetic, and use them to rigorously represent the state variables at time t as a function of the initial state variables and noise symbols that model the random exogenous inputs encountered before time t. Next, we show how concentration of measure inequalities can be employed to prove rigorous bounds on the tail probabilities of these state variables. We demonstrate interesting applications that demonstrate how our approach can be useful in some situations to establish mathematically guaranteed bounds that are of a different nature from those obtained through simulations with pseudo-random numbers.

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But it can also be problematic since it can induce inconsistencies in, e.g., Hessian-based flatness measures,