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Hello and welcome back! Today we're covering:

  • Regulation: EU's AI Act passes major hurdle towards adoption.

  • Robotics: Robot tidies room without training using off-the-shelf AI models.

  • Healthcare AI: New system pairs GPT-4 with medical database to improve diagnostic answers.

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News & Insights

EU’s AI Act Passes Last Big Hurdle On The Way To Adoption

The EU's AI Act is nearing its final form, with all Member State representatives giving unanimous support to the draft law. It's a significant move, setting the stage for the first-ever regulation of AI in the European Union. This law promises to ensure AI's safety and adherence to fundamental rights. It draws clear boundaries, classifying AI applications into risk categories and banning outright those deemed unacceptable, like social scoring systems. High-risk areas will see tighter control, while low-risk AI uses remain unrestricted. "The AI Act is a milestone," affirmed the Belgian Presidency of the Council of the EU.

There's palpable relief in Brussels, as the unanimous vote overcomes persistent opposition and fears of a derailment from countries like France. Their concerns? Stifling the growth of potential national AI powerhouses. The regulation's path is now clear: a final nod from the European Parliament seems a formality, with the AI Act likely to become law in the coming months. The phased implementation will give stakeholders time to adjust, but the clock is ticking, especially for foundational model compliance—set for 2025. "Today all 27 Member States endorsed the political agreement," tweeted Thierry Breton, signaling a triumph of balance between innovation and safety. techcrunch

This Robot Can Tidy A Room Without Any Help

The gap between AI advancements and robotic execution shrinks with OK-Robot. Developed by NYU and Meta researchers, this system empowers robots to interact with new environments sans exhaustive training. Utilizing an iPhone app for 3D room scans, the system leverages open-source AI models to identify objects. Impressively, the robot, Stretch, achieved a 58.5% success rate in relocating items, soaring to 82% in less cluttered spaces.

Matthias Minderer of Google DeepMind praises the project's reliance on off-the-shelf models, marking a shift towards practical, real-world applications of machine learning. However, the robot's limitations are clear: unable to improvise, it falters amidst unfamiliar clutter or complex tasks. Lerrel Pinto, co-lead of the project, sees the dual nature of using pre-existing models; they simplify deployment but restrict functionality to basic tasks. technologyreview

How GenAI Got Much Better At Medical Questions

Stanford researchers have cracked a significant challenge in AI's application to healthcare. Their Almanac system pairs Generative AI with a retrieval mechanism, RAG, to source real-time medical data, boosting the AI's medical Q&A capabilities. This innovation outshines traditional Large Language Models (LLMs), which often "hallucinate" or produce unreliable responses. By tethering AI to a medical database, Almanac sidesteps the costly need for constant retraining and delivers factual, complete, and preferred answers, as judged by medical professionals.

Almanac's integration with OpenAI's GPT-4 marks a leap in AI's practical use in medicine. It not only performs better on novel medical questions, as shown by a 67-70% human physician approval rate but also demonstrates resilience against misleading prompts, scoring an impressive 100% in resisting them. This study highlights not just an advancement in AI but also sets a benchmark for evaluating AI tools in clinical environments, underscoring the importance of contextually rich and clinically relevant data sets. wired

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

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