Alyssa Nash, shown here with her family, inherited the gene mutation for FTD, a rare form of early-onset dementia. Click the link below to learn more about her story. 'I HAVE A FUTURE' – Alyssa Nash, 27, faces likely dementia but maintains a hopeful outlook. SURGICAL SOUNDTRACK – "Lifesaving Radio" helps surgeons get "in the zone." KICKING THE HABIT – The first new quit-smoking drug is getting closer to approval.

About a year ago I tried to bond with my 17-year-old over Sea of Thieves. Since then, he has harangued me about trying Outer Wilds, which he claims is the most profound gameplaying experience of his life. I have delayed to Hamletesque degrees: what will I do if another of his favourite games doesn't connect with me? Would that mean I can no longer connect with my son? As I discovered last month, it can sometimes be a struggle playing games in your 50s, and dropping down the difficulty can reduce the stress and help me enjoy myself more.

Bayesian approaches developed to solve the optimal design of sequential experiments are mathematically elegant but computationally challenging. Recently, techniques using amortization have been proposed to make these Bayesian approaches practical, by training a parameterized policy that proposes designs efficiently at deployment time. However, these methods may not sufficiently explore the design space, require access to a differentiable probabilistic model and can only optimize over continuous design spaces. Here, we address these limitations by showing that the problem of optimizing policies can be reduced to solving a Markov decision process (MDP). We solve the equivalent MDP with modern deep reinforcement learning techniques. Our experiments show that our approach is also computationally efficient at deployment time and exhibits state-of-the-art performance on both continuous and discrete design spaces, even when the probabilistic model is a black box.

Every once in a while, I'll open something up that hasn't seen the light of day for a while. It always yields discoveries, forgotten memories and much more. Sometimes I'll open something up because it needs to be cleaned or fixed, as was the case recently with my father's 1955 Seeberg jukebox, long sitting idle in the basement. As with anything that is aging and has moving parts, it needed some care, my father long having left this life and his jukebox behind. A rare quiet hour with a piece of your childhood can reveal much.

LONDON: Artificial intelligence is set to swell the GCC and Egypt's economies to the tune of $320 billion by 2030, according to a report.Globally, the economic uplift could be to the magnitude of $15.7 trillion, more than the current output of China and India combined, according to a report by professional services firm PwC. Within that increase, $6.6 trillion is likely to come from increased productivity, while $9.1 trillion is likely to come from benefits to consumers....

John Markoff The New York Times Originally posted November 27, 2016 Here is an excerpt: Dr. Schmidhuber also has a grand vision for A.I. -- that self-aware or "conscious machines" are just around the corner -- that causes eyes to roll among some of his peers. To put a fine point on the debate: Is artificial intelligence an engineering discipline, or a godlike field on the cusp of creating a new superintelligent species? Dr. Schmidhuber is firmly in the god camp. He maintains that the basic concepts for such technologies already exist, and that there is nothing magical about human consciousness. "Generally speaking, consciousness and self-awareness are overrated," he said, arguing that machine consciousness will emerge from more powerful computers and software algorithms much like those he has already designed.