Toggle light / dark theme

The equations of quantum mechanics provide a roadmap to predicting the properties of chemicals starting from basic scientific theories. However, these equations quickly become too expensive in terms of computer time and power when used to predict behavior in large systems. Machine learning offers a promising approach to accelerating such large-scale simulations.

Researchers have shown that machine learning models can mimic the basic structure of the fundamental laws of nature. These laws can be very difficult to simulate directly. The machine learning approach enables predictions that are easy to compute and are accurate in a wide range of chemical systems.

The improved machine learning model can quickly and accurately predict a wide range of properties of molecules (Proceedings of the National Academy of Sciences, “Deep Learning of Dynamically Responsive Chemical Hamiltonians with Semi-Empirical Quantum Mechanics”). These approaches score very well on important benchmarks in computational chemistry and show how deep learning methods can continue to improve by incorporating more data from experiments. The model can also succeed at challenging tasks such as predicting excited state dynamics—how systems behave with elevated energy levels.

Sometimes it’s easy to miss the forest for the trees. We spend so much time on what’s in front of us, we can miss the bigger picture. Alarm bells are going off across the world. We need to hear them.

An extreme heatwave and drought has been roasting China for 70 days straight, something that “has no parallel in modern record-keeping in China, or elsewhere around the world for that matter.”

Next door, in Pakistan, a “torrential downpour of biblical proportions” has so far killed 900 people and destroyed nearly 100,000 homes. Its neighbour India has suffered 200 heatwave days this year so far, compared to just 32 last year. South Korea received it’s the heaviest hourly downpour in Seoul for 80 years, flooding the capital and leaving 50 cities and towns with landslide warnings.

Underwater robots that peered under Antarctica’s Thwaites Glacier, nicknamed the “Doomsday Glacier,” saw that its doom may come sooner than expected with an extreme spike in ice loss. A detailed map of the seafloor surrounding the icy behemoth has revealed that the glacier underwent periods of rapid retreat within the last few centuries, which could be triggered again through melt driven by climate change.

Thwaites Glacier is a massive chunk of ice — around the same size as the state of Florida in the U.S. or the entirety of the United Kingdom — that is slowly melting into the ocean off West Antarctica (opens in new tab). The glacier gets its ominous nickname because of the “spine-chilling” implications of its total liquidation, which could raise global sea levels between 3 and 10 feet (0.9 and 3 meters), researchers said in a statement (opens in new tab). Due to climate change, the enormous frozen mass is retreating twice as fast as it was 30 years ago and is losing around 50 billion tons (45 billion metric tons) of ice annually, according to the International Thwaites Glacier Collaboration (opens in new tab).

The Thwaites Glacier extends well below the ocean’s surface and is held in place by jagged points on the seafloor that slow the glacier’s slide into the water. Sections of seafloor that grab hold of a glacier’s underbelly are known as “grounding points,” and play a key role in how quickly a glacier can retreat.

Daniel Dennett explores the first steps towards a unified theory of information, through common threads in the convergence of evolution, learning, and engineering.
Subscribe for regular science talks: http://bit.ly/RiSubscRibe.
Watch the Q&A now: https://www.youtube.com/watch?v=beKC_7rlTuw.

Buy Daniel Dennett’s book “Intuition Pumps and Other Tools for Thinking” — https://geni.us/pAyVW

The concept of information is fundamental to all areas of science, and ubiquitous in daily life in the Internet Age. However, it is still not well understood despite being recognised for more than 40 years. In this talk, Daniel Dennett explores steps towards a unified theory of information, through common threads in evolution, learning, and engineering.

This event was the first in a series on the theme of ‘Convergence’, exploring the links between neuroscience, philosophy and artificial intelligence. If you’re in London, look out for more events later in the year: http://rigb.org/whats-on.

We are grateful for the help of the Real Time Club in organising this event.

Daniel Dennett is known as one the most important philosophers of our time, with controversial and thought-provoking arguments about human consciousness, free will, and human evolution.

Singer is the founder and director of Outreach Judaism, a Jewish counter-missionary organization. It describes itself as “an international organization that responds directly to the issues raised by missionaries and cults, by exploring Judaism in contradistinction to fundamentalist Christianity.” Singer cautions regarding congregations that “are designed to appear Jewish, but are actually fundamentalist Christian churches, which use traditional Jewish symbols to lure the most vulnerable of our Jewish people into their ranks.” Outreach Judaism was described by J. Gordon Melton in 2002 as an example of “the current state of Jewish counter-cult activity.”

Rabbi Tovia Singer wanted to understand why Jews have been persecuted throughout history so he read the New Testament and found out why they have been targeted. It appears Rabbi Tovia Singer has devoted his life to showing how the authors of the New Testament corrupted the Hebrew scriptures in the Septuagint. He shows how Paul manipulated the text just as bad as modern tv preachers to suite his gentile audience.

MythVision Website: 🔥 https://mythvisionpodcast.com/
MythVision Patreon 👉 https://www.patreon.com/mythvision.
MythVision Paypal. 👉 https://www.paypal.me/dereklambert7
Cashapp: 👉 $rewiredaddiction.
Venmo: 👉 @Derek-Lambert-9
Recommeded books 👉 https://amzn.to/35FqNYf.
Email MythVision 👉 [email protected].
Facebook page: 👉 https://www.facebook.com/MythVision/
Facebook group: 👉 https://www.facebook.com/groups/TheWaterBoyZRadio/
Twitter: 👉 @DerekPodcast.
Instagram: 👉 @dereklambert_7

==============================================================================
Rabbi Tovia Singer books 👉 https://outreachjudaism.org/

Rabbi Tovia Singer shows the changing of Hebrew scripture by the New Testament authors, how they redefined the use of the Hebrew scriptures & Paul being a liar.

Rabbi Tovia Singer youtube: https://www.youtube.com/channel/UCaw8quRcRzjmw0BI1vn-dnA