How Biden's Order Impacts Healthcare

PLUS: Google DeepMind’s Robotics Head On Generative AI

Good morning. Today is Monday, November 6th and we’re covering how Biden's AI order impact healthcare and how GenAI unlocks robot reasoning. New to The Intelligence Age? Sign up here.
Drop us a line anytime at [email protected] with feedback.

News & Insights

What Biden’s AI Executive Order Means For Biotech And Healthcare

AI takes center stage in Biden's latest executive order, which acts, amongst other things, as a blueprint for its responsible use in healthcare and biotech. The directive doesn't just aim to catch up with AI's current applications; it's a forward thrust, a call to sculpt the future of patient care and drug development. Each move weaved into the order is designed to minimize the chances of algorithmic blunders and biases, which will enhance the efficacy of medicine creation and patient treatment. The healthcare industry has already embraced AI, from drug manufacturers to hospitals, but it's clear the journey is just beginning.

Stakeholders are on standby, parsing through the implications and gathering input for their official responses. Striking the right balance between safety, privacy, and the freedom to innovate will require time and heated debate. The directive pushes the Department of Health and Human Services to establish a safety program to handle reports of unsafe AI practices in healthcare. It also aligns healthcare data under a National AI Research Resource. The endgame? Aligning best practices and leaving no stone unturned when it comes to ensuring AI's safe, secure, and beneficial use. fastcompany

Google DeepMind’s Robotics Head On Generative AI

Generative AI in the field of robotics isn't breaking news, but its importance continues to amplify. Google DeepMind's robotics head, Vincent Vanhoucke, sheds light on the role of Generative AI in modern robotics, emphasizing its centrality. Generative AI, he argues, is the key to 'common-sense reasoning' in robots, enabling them to understand and interact with the everyday world.

The fascinating leap from language models to common-sense reasoning is a testament to the versatility of AI. Vanhoucke explains, "Language models are not really about language. They're about common sense reasoning and understanding of the everyday world." If a language model understands where a cup of coffee might be found, it's a small step to apply this knowledge to a robot in a real-world environment. techcrunch

Together with Hedonova

Hedonova outperforming S&P 500 by over 200%

Investing in alternative assets can often be complex and illiquid, making them challenging to fund. That's where Hedonova comes in, making it easy to invest in alternative assets.

Since late-2019, Hedonova has achieved a remarkable feat, outperforming the S&P 500 by more than 200%.

Hedonova offers a simple yet powerful proposition: It serves as a single access point to a diverse portfolio of alternative assets, including media royalties, pre-IPO startups, wine, and fine art.

This SEC-regulated fund has captured the spotlight, securing the best multi-strategy hedge fund award at the 2023 Hedgeweek European Awards. With a low minimum of $5k, you can easily start investing in alternative assets at Hedonova.

Please support our sponsors!

Mastering AI

Top Tools

  • Aragon: Professional headshots generated instantly through A.I. technology. (website). (sponsored)

  • HireHoc: AI tool streamlines hiring with automated job descriptions, skill extraction, & interview questions. (website)

  • Anywebsite.ai: AI chatbot answers website content Qs - 50% off with BETA50. (website)

Practical AI

Predictive AI has the ability to transform team management from art into science. It not only automates goal-setting based on real-time data but also generates improvement recommendations for team performance. It's the unseen eye, capable of pinpointing hidden patterns that even the most savvy engineering leaders might miss in performance reviews.

AI's advantage rests on its pattern-recognition prowess. A case in point: analyzing the relationship between cycle time, code review time, and code churn - metrics traditionally challenging to correlate. AI digs deep, determining if longer review times yield less code churn (indicating stable, well-thought-out code), or if they merely delay the development process without reducing churn. techcrunch

Around The World

More News

  • AI Identified as the Most Important Technology in 2024, According to IEEE Survey

  • Elon Musk announces that X subscribers will be granted early access to xAI’s new chatbot, Grok.

Trending Today

Research Review

This AI Can Tell If Your Home Is Wasting Energy — Just By Looking At It

Harnessing the power of AI, researchers from the University of Cambridge have fashioned a deep-learning model capable of identifying energy-inefficient homes. The model, trained on open-source data, can pinpoint parts of a building like windows and roofs that lose most heat, aiding the UK's 2050 decarbonization goal. The researchers, including Dr. Ronita Bardhan, believe this AI solution can guide policymakers towards high-priority houses, saving time and precious resources.

The novelty doesn't end there. Bardhan and Sun, another author, are now refining the model to incorporate more data layers. They're hopeful that this enhancement will not only increase the model's accuracy but also yield further detailed information. AI's potential to extract value from vast data sets is acknowledged as a game-changer in tackling complex problems, including climate change. towardsdatascience

Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.

Send us feedback at [email protected] and help us provide the best coverage of Artificial Intelligence possible.

Interested in reaching smart business leaders like you? To become an Intelligence Age partner, apply here.

Join the conversation

or to participate.