Castro-Quezada, I., Román-Viñas, B., & Serra-Majem, L. (2014). The Mediterranean Diet and Nutritional Adequacy: A Review. Nutrients.
Interesting … the claims
The Mediterranean dietary pattern, through a healthy profile of fat intake, low proportion of carbohydrate, low glycemic index, high content of dietary fiber, antioxidant compounds, and anti-inflammatory effects, reduces the risk of certain pathologies, such as cancer or Cardiovascular Disease (CVD).
The inclusion of foods typical of the Mediterranean diet and greater adherence to this healthy pattern was related to a better nutrient profile, both in children and adults, with a lower prevalence of individuals showing inadequate intakes of micronutrients.
We’ll be reviewing this and related studies in the overall evaluation …
One must chuckle … I was looking at Towards an Open Research Knowledge Graph by
Sören Auer & Sanjeet Mann
It’s behind a paywall …
Can we please not use the phrase Open Anything unless its actually open and available without a paywall 🙂
Fascinating insights by Computer Science / Artificial Intelligence profs …
some have summarized their insights by writing: “only by doing activities that fulfill our curiosity without any pre-defined objectives, true creativity can be unleashed. They call this the ‘Myth of the Objective’: Objectives are well and good when they are sufficiently modest … In fact, objectives actually become obstacles towards more exciting achievements, like those involving discovery, creativity, invention, or innovation—or even achieving true happiness… the truest path to “blue sky” discovery or to fulfill boundless ambition, is to have no objective at all.”
some of Stanley’s and Lehmans insights:
- “The flash of insight is seeing the bridge to the next stepping stone by building from the old ones. ”
- “[Picbreeder] is just one example of a fascinating class of phenomena that we might call non-objective search processes, or perhaps stepping stone collectors. The prolific creativity of these kinds of processes is difficult to overstate”
- “ measuring success against the objective is likely to lead you on the wrong path in all sorts of situations”
- “You can’t evolve intelligence in a Petri dish based on measuring intelligence. You can’t build a computer simply through determination and intellect—you need the stepping stones. ”
- “ambitious objectives are the interesting ones, and the idea that the best way to achieve them is by ignoring them flies in the face of common intuition and conventional wisdom. More deeply it suggests that something is wrong at the heart of search. ”
I find their books inspiring and insightful. Reframing questions and providing different lines of attack on AI and Search Optimization to Ambitious Goals …
Excellent initial tutorial by DL Olympianian – Geoffrey Hinton: The Foundations of Deep Learning on you tube …
catch up here
Today … looking at Carlos Perez’s Deep Learning AI Playbook: Strategy for Disruptive Artificial Intelligence
The claim: “This book is an opinionated take on the developments of Deep Learning AI” – a reviewers offers that it’s probably good to start out exploring the Intuition Machine blog on Medium. Appears oriented to the ‘first-entry into AI ‘ folks who want to get a sense of what’s going on. Really Deep AI /Deep Learning / Deep whatever is another matter.
To place Artificial Intelligence in appropriate context is a complex and intricate challenge. Marty Ford, a master explainer presents interviews with some of the principal architects of AI. The Architects in this case are Yoshua Bengio, Stuart Russell, Geoffrey Hinton, Nick Bostrom, Yann LeCun, Fei-Fei Li, Demis Hassabis, Andrew Ng, Rana El Kaliouby, Ray Kurzweil, Daniela Rus, James Manyika, Gary Marcus, Barbara Grosz, Judea Pearl, Jeffrey Dean, Daphne Koller, David, Ferrucci, Rodney Brooks, Cynthia Breazeal, Joshua Tenenbaum, Oren Etzioni, and Bryan Johnson.
What a great list … Dan Ferrucci is of course known from his amazing work with IBM WATSON, and the first ever amazing win of a machine over the best of the best at Jeopardy! Dennis Hassabis , of Google/Alphabet’s Deep Mind, brought us AlphaGo, AlphaGoZero, and now AlphaGo that exceeds the best of the best in Chess, GO and Shogi (all with the same MCTS algorithm). NYU/FAIR/FaceBook’s Yan LeCun did some serious stuff with Mastering and claiming ‘the prize’ over ImageNet Challenge. Rodney Brooks with iRobot, … each one of the Architects is truly a master architect. We’ll explore their contributions and significance later … their thoughts are really worth checking out. I am looking at all kinds of things right now … and there’s just so much. Maybe I need a nice Intelligent Machine Assistant to help me pull this al together. 🙂
Ford, M. (2018), Architects of Intelligence,