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Category: robotics/AI – Page 9

Navigating the Deep Tech Industrial Revolution

Podcast with Chuck Brooks, Adjunct Professor at Georgetown University and President of Brooks Consulting International — Quantum Computing Report.

Overview In this episode of The Quantum Spin by HKA, host Veronica Combs discusses the intersections of quantum technology and cybersecurity with Chuck Brooks, an adjunct professor at Georgetown University and the president of Brooks Consulting International. Chuck discusses how the evolution of technology, particularly AI and quantum computing, has dramatically transformed cybersecurity. The conversation also touches on the role of CISOs, the integration of new technologies, and the importance of ongoing education and adaptation in the face of rapidly changing technologies. 00:00 Introduction to Quantum Spin Podcast00:34 Guest Introduction: Chuck Brooks00:46 Chuck Brooks’ Career […].

AI Model for Imaging-Based Extranodal Extension Detection in Human HPV-Positive Oropharyngeal Cancer

An AI-powered pipeline accurately classified imaging-based extranodal extension from CT scans in HPV-positive oropharyngeal carcinoma and predicted worse oncologic outcomes, outperforming expert radiologist assessment and offering a promising prognostic tool for clinical decision-making.

Question Can an artificial intelligence (AI)−driven model predict imaging-based extranodal extension (iENE) and oncologic outcomes from pretreatment computed tomography scans of patients with human papillomavirus (HPV)−positive oropharyngeal squamous cell carcinoma (OPSCC)?

Findings In this single-center cohort study of 397 patients with HPV-positive cN+ OPSCC, an automated pipeline integrating lymph node segmentation and iENE classification achieved an area under the receiver operating characteristic curve of 0.81. AI-predicted iENE was significantly associated with worse distant failure, recurrence-free survival, and overall survival, and outperformed expert radiologist assessment.

Meaning These findings suggest that automated iENE detection using AI models may offer a powerful prognostic tool to complement clinical decision-making in HPV-positive OPSCC and extend iENE interpretation capabilities to centers that lack specialized radiologists.

Discrimination of normal from slow-aging mice by plasma metabolomic and proteomic features

Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search for anti-aging drugs. We have applied a machine learning algorithm, XGBoost regression, to seek sets of plasma metabolites (n = 12,000) and peptides (n = 17,000) that can discriminate control mice from mice treated with one of five anti-aging interventions (n = 278 mice). When the model is trained on any four of these five interventions, it predicts significantly higher lifespan extension in mice exposed to the intervention which was not included in the training set. Plasma peptide data sets also succeed at this task. Models trained on drug-treated normal mice also discriminate long-lived mutant mice from their respective controls, and models trained on males can discriminate drug-treated from control females.

Cybercab Game Changers Tesla & Elon Kept Under Wraps

Questions to inspire discussion.

Design & Manufacturing Innovation.

🔧 Q: Why were conventional door locks added despite weight concerns? A: Conventional door locks on frameless doors were likely required for global market compliance, though positioning locks closer to the pivot point reduces the work required compared to weight at the door’s end.

Tire Optimization for Taxi Operations.

🛞 Q: What tire specifications optimize Cybercab for taxi service? A: 20–22 inch tires with thicker sidewalls provide smoother ride at lower speeds typical of taxi use, require less frequent changes, and achieve 6–7 miles per kilowatt hour efficiency through reduced rolling resistance.

Accessibility Features.

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AI, Autonomy, and Scale: Why Elon Musk’s Timeline Will Break Society

Questions to inspire discussion.

🎯 Q: How should retail investors approach AI and robotics opportunities? A: Focus on technology leaders like Palantir, Tesla, and Nvidia that demonstrate innovation through speed of introducing revolutionary, scalable products rather than attempting venture capital strategies requiring $1M bets across 100 companies.

💼 Q: What venture capital strategy do elite firms use for AI investments? A: Elite VCs like A16Z (founded by Marc Andreessen) invest $1M each in 100 companies, expecting 1–10 to become trillion-dollar successes that make all other bets profitable.

🛡️ Q: Which defense sector companies are disrupting established contractors? A: Companies like Anduril are disrupting the five prime contractors by introducing innovative technologies like drones, which have become dominant in recent conflicts due to lack of innovation in the sector.

⚖️ Q: What mindset should investors maintain when evaluating AI opportunities? A: Be a judicious skeptic, balancing optimism with skepticism to avoid getting carried away by hype and marketing, which is undervalued but crucial for informed investment decisions.

Tesla’s Competitive Advantages.

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