The UK government's new industrial strategy aims to address economic challenges by focusing on growth, regional inequality, and infrastructure improvement. The strategy includes creating an 'industrial strategy council' for oversight and emphasizes investment in AI and clean energy. However, it lacks consideration of geopolitics, Brexit, and support for traditional sectors. The strategy's success depends on effective implementation and addressing structural issues.

The article examines the effectiveness and sustainability of protests against Donald Trump's immigration policies, highlighting the rapid organization and widespread participation in demonstrations across the United States and the UK. It emphasizes the importance of innovation in protest strategies to maintain momentum and disrupt the administration's media narrative. The piece also discusses the potential for repressive measures if protests are depicted as threats to public safety, urging unity and continued disruption to counteract the administration's strategies.

Marcos López de Prado, a faculty member at Cornell University and CEO of True Positive Technologies, will present a keynote at the ACM Conference on Artificial Intelligence in Finance. His talk will cover the unique opportunities financial machine learning offers, such as extracting non-linear relationships, analyzing unstructured data, and controlling for statistical overfitting. Key applications include price prediction, hedging, portfolio construction, and outlier detection. López de Prado emphasizes that effective machine learning in finance requires significant insight and care.

DeepMind, a research subsidiary of Alphabet, has developed new sorting algorithms through its AlphaDev system, achieving significant efficiency improvements. This follows their previous successes with AI programs like AlphaGo, AlphaFold, and AlphaTensor. The new algorithms have been integrated into the LLVM standard C++ sort library. The article also discusses the broader implications of AI advancements, including potential societal impacts and the ongoing debate about the risks and benefits of artificial intelligence.

The article discusses the innovative spirit of Gen Z, exemplified by Australian students who recreated the drug Daraprim in response to Martin Shkreli's price hike. It highlights the need for purpose among young designers and their selective approach to work, driven by a desire to make a positive impact. The author, leading a design team at Frontiers, emphasizes the importance of empowering Gen Z by listening, challenging, and providing platforms for their ideas. The text contrasts past and present workplace cultures, noting the shift towards data-driven design and consumer expectations. It calls for older generations to support Gen Z's exploration of new ideas and approaches.

Marcos Lopez de Prado and Alexander Lipton present a new mathematical model (K-SEIR) to evaluate various exit strategies for COVID-19 lockdowns. They argue that universal lockdowns, while effective in saving lives, have caused significant economic and social harm, particularly to minorities and the working class. The K-SEIR model aims to help governments implement more targeted lockdowns that balance saving lives, protecting the vulnerable, and preventing the depletion of medical resources. The authors emphasize the need for tailored strategies based on national circumstances to better prepare for future pandemics.

Seasonal Affective Disorder (SAD) is a serious condition linked to sunlight exposure, and light therapy can help mitigate its effects. Dr. David Bailey has updated his guide on the best SAD light therapy products, highlighting options like the Luminette 3 SAD Light Visor for its comfort, convenience, and affordability. Other products reviewed include Moodozi light therapy lamps and Caribbean sun therapy lamps, catering to various needs and budgets.

The article explores the evolving role of computation and AI in mathematics, highlighting a shift from skepticism to widespread acceptance of computational tools. It discusses significant developments such as Thomas Hales' computer-assisted proof of the Kepler conjecture and Yitang Zhang's work on the twin prime conjecture. The text also examines the impact of AI advancements, like DeepMind's AlphaGo Zero and OpenAI's ChatGPT, on various fields, including mathematics. Terence Tao's insights on the future of mathematical research emphasize the potential for AI to transform collaborative efforts and proof verification. The article underscores the growing integration of AI and machine learning in mathematical research, predicting a future where AI assists in proving complex theorems and reshapes the discipline.

The MacKinnon Lists Technique (MLT) is proposed as a new method for rapidly assessing biodiversity and species abundance in marine environments, particularly in species-rich habitats like coral reefs. The study compares MLT to the widely used MaxN method, finding that MLT generates comparable results in terms of species richness, diversity indices, and relative abundance. MLT is highlighted for its cost-efficiency, simplicity, and ability to produce stable estimations with lower sampling effort. The technique is suggested to be useful for rapid conservation assessments and could complement existing methods like MaxN for more comprehensive biodiversity monitoring.

The article critically examines the probability arguments used by creationist and intelligent design proponents to refute evolution. It highlights the fallacies and errors in these arguments, such as unrealistic probability models and the post-hoc probability fallacy. The text underscores that biological evolution is not a random process and that natural selection plays a crucial role. It also presents examples from scientific research, including studies on hemoglobin, RNA nucleotides, and recent human evolution, to demonstrate the validity of evolutionary processes. The article concludes that creationist probability arguments lack empirical support and should be viewed with skepticism.