As more doctors and nurses leave the profession, providers are turning to AI technology to help bridge the coverage gap, especially among older Americans. More than one out of four older people experience a fall each year -- and three million of them are treated in the emergency room for their injuries, according to statistics from the Centers for Disease Control and Prevention (CDC). Dangerous falls can be prevented by following safety protocols. Christynne Helfrich, PT, a physical therapist commercial consultant for Hinge Health in Illinois, shared some expert tips with Fox News Digital. Going for daily walks or engaging in other low-impact physical activities can help to strengthen muscles, keep joints flexible and maintain overall endurance, Helfrich said.

Artificial intelligence technology is at the heart of everything that makes our way of life comfortable, cutting across all facets and industries. With the pace at which AI is being adopted, could it be that most people dread could be upon us? Will the machines be taking over for real? Technology keeps improving, making how we carry out daily routines easy. Far from what most fear as a takeover, AI is an enabler and a time saver as it reduces the time spent on getting what could have taken longer for the average human to handle at a faster rate. Artificial intelligence technology has changed the narrative of solving problems, bridging the gap between a service provider and the users, and ensuring there is no lag between.

Artificial intelligence today not only plays a huge role in transforming companies and elevating brands, but it also has the potential to solve challenging social problems. Just like Fei Fei Li, a computer science professor at Stanford, said, "I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy." Let's look at a few ways Ai is transforming our lives. A good example is Netflix. Netflix's Senior Data Scientist, Mohammad Sabah, stated in 2014: "75 percent of users select movies based on the company's recommendations, and Netflix wants to make that number even higher." AI is currently changing the narrative in the workplace.

The underlying dynamical system carries temporal information from one time step to another and captures potential dependencies among the terms of a sequence. Like other deep neural networks, the weights of an RNN are learned by gradient descent. For the input at a time step to affect the output at a later time step, the gradients must back-propagate through each step. Since a sequence can be quite long, RNNs are prone to suffer from vanishing or exploding gradients as described in (Bengio, Frasconi, and Simard 1993) and (Pas-canu, Mikolov, and Bengio 2013). One consequence of this well-known problem is the difficulty of the network to model input-output dependency over a large number of time steps. There have been many different architectures that are designed to mitigate this problem. The most popular RNN architectures such as LSTMs (Hochreiter and Schmidhu-ber 1997) and GRUs (Cho et al. 2014), incorporate a gating mechanism to explicitly retain or discard information.

New research finds the timing of brain waves we make while sleeping may impact memory. Our brains don't rest when we sleep. Electrical waves ripple through our noggins as our neurons talk to each other. Now, researchers have shown that when these waves don't interact properly, we can lose our long-term memory. The work may help explain why older adults are so forgetful, and it could lead to new therapies to treat memory loss.