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Category: robotics/AI – Page 757

Arm Cortex-M52 chip brings AI acceleration to low-power IoT devices

Why it matters: While AI algorithms are seemingly everywhere, processing on the most popular platforms require powerful server GPUs to provide customers with their generative services. Arm is introducing a new dedicated chip design, set to provide AI acceleration even in the most affordable IoT devices starting next year.

The Arm Cortex-M52 is the smallest and most cost-efficient processor designed for AI acceleration applications, according to the company. This latest design from the UK-based fabless firm promises to deliver “enhanced” AI capabilities to Internet of Things (IoT) devices, as Arm states, without the need for a separate computing unit.

Paul Williamson, Arm’s SVP and general manager for the company’s IoT business, emphasized the need to bring machine learning optimized processing to “even the smallest and lowest-power” endpoint devices to fully realize the potential of AI in IoT. Despite AI’s ubiquity, Williamson noted, harnessing the “intelligence” from the vast amounts of data flowing through digital devices requires IoT appliances that are smarter and more capable.

Vernor Vinge’s Early Science Fiction, 1965–1983; A Quest for Superhuman Intelligence & Singularities

Vernor Vinge is one of the foremost thinkers about the future of artificial intelligence and the potential for a technological singularity to occur in the coming decades. He’s a science fiction writer who’s had a profound impact on a wide range of authors including: William Gibson, Charles Stross, Neal Stephenson and Dan Simmons.

Many of Vinge’s works are brilliant. Among them are some of my all-time favorites in the SF genre. And he’s been recognized with numerous awards, including seven Hugo nominations and five wins, despite writing only eight novels and 24 short stories and novellas over a span of five decades.

In this video, I discuss his early works from the 1960s to the 1980s. His later works from the 1980s onward are the subject of my next video.

0:42 What is a technological singularity?
4:51 A.I. in science fiction history.
5:38 Should we be afraid?
6:59 Who is Vernor VInge?
8:50 Short stories.
11:26 Tatja Grimm’s World (1969, 1987)
13:47 The Witling (1976)
17:40 True Names (1981)

#booktube #booktubesff #sciencefiction #scifi #singularity #artificialintelligence #sf

Q* Did OpenAI Achieve AGI? OpenAI Researchers Warn Board of Q-Star

Exclusive: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say https://www.reuters.com/technology/sam-altmans-ouster-openai…11-22/ OpenAI Made an AI Breakthrough Before Altman Firing, Stoking Excitement and Concern https://www.theinformation.com/articles/openai-made-an-ai-br…nd-concern The Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html Get on my daily AI newsletter 🔥 https://natural20.beehiiv.com/subscribe [News, Research and Tutorials on AI] See more at: https://natural20.com/ My AI Playlist: https://www.youtube.com/playlist?list=PLb1th0f6y4XROkUAwkYhcHb7OY9yoGGZH

Autonomous excavator constructs a 6-meter-high dry-stone wall

ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a 6-meter-high and 65-meter-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park.

The team of researchers included Gramazio Kohler Research, the Robotics Systems Lab, Vision for Robotics Lab, and the Chair of Landscape Architecture. They developed this innovative design application as part of the National Center of Competence in Research for Digital Fabrication (NCCR dfab). Their work has been described in Science Robotics.

Using sensors, the can autonomously draw a 3D map of the construction site and localize existing and stones for the wall’s construction. Specifically designed tools and machine approaches enable the excavator to scan and grab large stones in its immediate environment. It can also register their approximate weight as well as their center of gravity.

Illustrating Reinforcement Learning from Human Feedback (RLHF)

Q* appears to apply a RL technique that uses AI generated data and teaches LLMs how to solve multi step logic problems Q* techniques can be applied to GPT-5 endowing it with excellent reasoning and retrieval skills This may not be AGI but it is an extremely powerful LLM.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Tech Titans Clash DARPA’s AI Robots, GPT’s Creation & NASA’s Trillion Dollar Quest! | Pro Robots

More information about TITA robot:
🔗 Official Website: https://shop.directdrive.com/products/tita?utm_source=prorobots.
🔗 YouTube: www.youtube.com/@directdrivetech4558

Meet the fast-legged TITA robot, which made its first appearance at the ICRA 2023 Robotics Show. Easily switching between wheeled and walking modes, the robot with eight degrees of freedom is able to move quickly on any terrain. In addition, the developers report that TITA combines exceptional perceptual abilities with advanced decision-making capabilities. Its maneuverability, sleek design, modular construction and ability to quickly swap payloads and accessories make it a true Swiss knife in the world of security and service robots. TITA also has exceptional fall resistance, improved self-healing capabilities, instant response time and enhanced obstacle avoidance ability. The robot easily adapts to difficult terrain and, importantly, supports secondary development in multiple modes. The latter not only allows you to control it at any level using RPC, but also allows you to program the robot for your tasks. If TITA has captured your heart as well as ours, you can learn more about the robot and even buy it for yourself by using the QR code on the screen.

👉For business inquiries: [email protected].
✅ Instagram: https://www.instagram.com/pro_robots.

DARPA launches a new project to develop incredible military technology for underwater warfare, the US, UK and Australia test autonomous groups of military robots, ChatGPT independently developed a robot, and NASA plans a $10-quintillion mission! See these and other high-tech news in one video!

00:00 In this video.
00:30 Tita robot.
1:40 Combat robot drills.
2:46 New DARPA project.
4:12 ChatGPT creates robots.
5:43 Tesla ready to share technology.
6:41 A single-seat multicopter goes on sale.
7:46 High tech collision.
8:42 NASA begins exploring Psyche.
9:58 New robot guide.
10:35 An ingenious AI gadget.
11:48 Boston Dynamics upgrades robot Spot.
12:45 Robot chef learns to cook from video.
13:40 Drone to search for objects in murky waters.
14:44 New agricultural robot.
15:21 Delivery robots take over the world.

#prorobots #robots #robot #Neurotechnology #robotics #Neurochips #Neuralink.

Continue reading “Tech Titans Clash DARPA’s AI Robots, GPT’s Creation & NASA’s Trillion Dollar Quest! | Pro Robots” | >

Scientists test AI laser-drone system to uncover ocean blind spots

Ocean Eye will illuminate the hidden realms of marine biodiversity and pave the way for unprecedented insights into the ocean using lidar technology and advanced sensors.

In a groundbreaking initiative, researchers from the Technical University of Denmark (DTU) and Aarhus University spearhead the Ocean Eye project. This revolutionary undertaking aims to transform our understanding of marine biodiversity using cutting-edge optical technologies, according to a university press release.

The project utilizes a combination of hyperspectral cameras, lasers, and artificial intelligence on an autonomous vessel to gather comprehensive data on coastal waters, surpassing the limitations of traditional methods.

Challenging the uncharted depths

Despite 71 percent of Earth’s surface being covered by water, a staggering 91 percent of marine species remain unidentified, creating a substantial blind spot in our knowledge of marine biodiversity. Traditional methods employing divers and drones have proven challenging and expensive, leading DTU to pioneer the Ocean Eye project.

[1hr Talk] Intro to Large Language Models

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
As of November 2023 (this field moves fast!).

Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that’s my hotel room during the thanksgiving break.

- Slides as PDF: https://drive.google.com/file/d/1pxx_ZI7O-Nwl7ZLNk5hI3WzAsTL…share_link (42MB)
- Slides. as Keynote: https://drive.google.com/file/d/1FPUpFMiCkMRKPFjhi9MAhby68MH…share_link (140MB)

Chapters:
Part 1: LLMs.
00:00:00 Intro: Large Language Model (LLM) talk.
00:00:20 LLM Inference.
00:04:17 LLM Training.
00:08:58 LLM dreams.
00:11:22 How do they work?
00:14:14 Finetuning into an Assistant.
00:17:52 Summary so far.
00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard.
Part 2: Future of LLMs.
00:25:43 LLM Scaling Laws.
00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E)
00:33:32 Multimodality (Vision, Audio)
00:35:00 Thinking, System 1/2
00:38:02 Self-improvement, LLM AlphaGo.
00:40:45 LLM Customization, GPTs store.
00:42:15 LLM OS
Part 3: LLM Security.
00:45:43 LLM Security Intro.
00:46:14 Jailbreaks.
00:51:30 Prompt Injection.
00:56:23 Data poisoning.
00:58:37 LLM Security conclusions.
End.
00:59:23 Outro