DeepSeek, a small Chinese startup, caught competitors in Silicon Valley and the AI world by surprise, saying it built AI models using less capital and inferior Nvidia chips.
Category: robotics/AI – Page 342
Capcom Experimenting With Generative AI to Create ‘Hundreds of Thousands of Unique Ideas’ Needed to Build In-Game Environments
Capcom is experimenting with generative AI to create the “hundreds of thousands” of ideas needed for in-game environments.
As video game development costs rise, publishers are increasingly looking to controversial AI tools to speed up work and cut costs. Call of Duty reportedly sold an “AI-generated cosmetic” for Call of Duty: Modern Warfare 3 in late 2023, and fans accused Activision of using generative AI again for a loading screen last year. EA said in September that AI was “the very core” of its business.
In a new interview with Google Cloud Japan, Kazuki Abe, a technical director at Capcom who has worked on huge titles like Monster Hunter: World and Exoprimal, explained how the company is experimenting with implementing AI in its game development processes.
Butterfly-inspired method for robot wing movement works without electronics or batteries
Researchers at the Technical University of Darmstadt and the Helmholtz Center Dresden-Rossendorf have developed flexible robot wings that are moved by magnetic fields. Inspired by the efficiency and adaptability of the wings of the monarch butterfly, they enable precise movements without electronics or batteries.
This bio-inspired development could fundamentally change environmental monitoring, rescue operations and biomedical applications.
Monarch butterflies are known for their outstanding endurance and adaptability. Every year, they cover thousands of kilometers on their migrations between Canada and Mexico. The key to this feat lies in their unique wings, which allow the insects to fly energy-efficiently through a combination of active movement and passive bending.
Humanoid Robots: Here Are The 16 Leading Manufacturers
“If you lease it like you lease a car, a $30,000 car, your price point per month is 300 bucks,” says author, futurist, investor, doctor, and engineer Peter Diamandis in a recent TechFirst podcast. “And that translates amazingly to $10 a day and 40 cents an hour. So you’ve got labor that’s waiting for whatever your wish is. You know, clean up the house, go mow the lawn, you know, please change the baby’s diapers.”
KPMG Survey: 68% Of Execs Plan To Funnel Up To $250 Million Into AI In The Next Year
In today’s AI news, a majority of senior executives across multiple industries expect AI to fundamentally reshape their businesses in the next 12 to 24 months, according to KPMG’s latest AI Quarterly Pulse Survey. According to the survey, 68% of executives plan to invest between $50M and $250M into GenAI over the next 12 months, marking a substantial increase from 45% in Q1 of 2024.
S chief AI scientist, Yann LeCun, the biggest takeaway from DeepSeek In other advancements, hot healthcare startup Rad AI has raised a Series C funding round. The company, which creates AI-powered tools for radiologists, grabbed $60 million dollars of fresh funding in a Series C round led by Transformation Capital, according to two sources, the new fundraise valued Rad AI at $525 million.
Meanwhile, Alphabet’s Google, already facing an unprecedented regulatory onslaught, is looking to shape public perception and policies on artificial intelligence ahead of a global wave of AI regulation. A key priority comes in building out educational programs to train the workforce on AI. “Getting more people and organizations, including governments, familiar with AI and using AI tools, makes for better AI policy and opens up new opportunities.”
T be fixated on the best big model … + Then, join renowned investor Ray Dalio of Bridgewater Associates, for an engaging fireside chat with Merantix Capital Co-Founder, Rasmus Rothe exploring the enormous potential of artificial intelligence in decision-making, innovation, and global investing.
And, artificial general intelligence could possess the versatility to reason, learn and innovate in any task. But with rising concerns about job losses, surveillance and deepfakes, will AGI be a force for progress or a threat to the very fabric of humanity?
We close out with, a thought-provoking panel discussion, moderated by Becky Anderson, Anchor & Managing Editor of CNN Abu Dhabi, featuring Ian Bremmer, President and Founder of Eurasia Group and GZERO Media; Nadia Calviño, President of the European Investment Bank; Ngozi Okonjo-Iweala, Director General of the WTO; Brad Smith, Vice Chair and President of Microsoft; and Peng Xiao, CEO of G42.
Thats all for today, but AI is moving fast, Like, comment, and subscribe for more AI news! Please vote for me in the Entrepreneur of Impact Competition today! Thank you for supporting my partners and I, it’s how I keep Neural News Network free.
Molecular analysis and design using generative artificial intelligence via multi-agent modeling
We report the use of a multiagent generative artificial intelligence framework, the X-LoRA-Gemma large language model (LLM), to analyze, design and test molecular design. The X-LoRA-Gemma model, inspired by biological principles and featuring ~7 billion parameters, dynamically reconfigures its structure through a dual-pass inference strategy to enhance its problem-solving abilities across diverse scientific domains. The model is used to first identify molecular engineering targets through a systematic human-AI and AI-AI self-driving multi-agent approach to elucidate key targets for molecular optimization to improve interactions between molecules. Next, a multi-agent generative design process is used that includes rational steps, reasoning and autonomous knowledge extraction. Target properties of the molecule are identified either using a Principal Component Analysis (PCA) of key molecular properties or sampling from the distribution of known molecular properties. The model is then used to generate a large set of candidate molecules, which are analyzed via their molecular structure, charge distribution, and other features. We validate that as predicted, increased dipole moment and polarizability is indeed achieved in the designed molecules. We anticipate an increasing integration of these techniques into the molecular engineering workflow, ultimately enabling the development of innovative solutions to address a wide range of societal challenges. We conclude with a critical discussion of challenges and opportunities of the use of multi-agent generative AI for molecular engineering, analysis and design.
