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But as the name suggests, one can clearly make out that Code Llama is based on Meta’s Llama 2 large language model (LLM) that can understand and generate natural language across various domains. Code Llama has been specialized for coding tasks and supports many popular programming languages, Meta says in its press release.
The video from ErgoSurg GmbH by SH shows how a handy little robotic arm. This robot for caregivers in hospitals, retirement homes and for the elderly at home, sucks on surfaces, can run for hours on a battery and weighs less than 3kg. Caregivers, adults and children can record and play back movements within seconds or minutes. There is a USB interface for programmers. If you are interested, please contact us in Germany, Munich, +49 89 322 94 62.
The company wants its next-gen Snapdragon chips to use AI for more than just improving camera shots.
Artificial intelligence has such a potential for good not only would it make humans closer becoming God like but also it could manifest God through Artificial intelligence that why the ethics of the world depends on its success towards AI for good. It could create peace across the world and a brighter tomorrow.
It’s unusual for tech executives and religious leaders to get together to discuss their shared interests and goals for the future of humanity and the planet. It’s even more extraordinary for the world’s three largest monotheistic religions to be represented.
When the Pope joins the meeting, it’s basically unprecedented.
That’s what happened at Vatican City this week as the Catholic Church hosted leaders of the Jewish and Islamic faiths, new signatories to the Rome Call for AI Ethics, in a meeting that included executives from Microsoft and IBM.
Whole-body manipulation is a strength of humans but a weakness of robots. The robot interprets each possible contact point between the box and the carrier’s fingers, arms, or torso as a separate contact event. This task becomes difficult to prepare for as soon as one considers the billions of possible contact events. Now, MIT researchers can streamline this technique, called contact-rich manipulation planning. An artificial intelligence approach called smoothing is used to reduce the number of judgments needed to find a good manipulation plan for the robot from the vast number of contact occurrences.
New developments in RL have demonstrated amazing results in manipulating through contact-rich dynamics, something that was previously challenging to achieve using model-based techniques. While these techniques were effective, it has yet to be known why they succeeded while model-based approaches failed. The overarching objective is to grasp and make sense of these factors from a model-based vantage point. Based on these understandings, scientists work to merge RL’s empirical success with the models’ generalizability and efficacy.
The hybrid nature of contact dynamics presents the greatest challenge to planning through touch from a model-based perspective. Since the ensuing dynamics are non-smooth, the Taylor approximation is no longer valid locally, and the linear model built using the gradient quickly breaks down. Since both iterative gradient-based optimization and sampling-based planning use local distance metrics, the local model’s invalidity poses serious difficulties for both. In response to these problems, numerous publications have attempted to take contact modes into account by either listing them or providing examples of them. These planners, who have a model-based understanding of the dynamic modes, often switch between continuous-state planning in the current contact mode and a discrete search for the next mode, leading to trajectories with a few-mode shifts here and there.
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Enterprises have quickly recognized the power of generative AI to uncover new ideas and increase both developer and non-developer productivity. But pushing sensitive and proprietary data into publicly hosted large language models (LLMs) creates significant risks in security, privacy and governance. Businesses need to address these risks before they can start to see any benefit from these powerful new technologies.
As IDC notes, enterprises have legitimate concerns that LLMs may “learn” from their prompts and disclose proprietary information to other businesses that enter similar prompts. Businesses also worry that any sensitive data they share could be stored online and exposed to hackers or accidentally made public.
BEIJING, Aug. 24, 2023 /PRNewswire/ — On August 22, the 2023 World Robot Conference (WRC), which was held in Beijing with the theme of “Spurring Innovation for the Future,” came to a big success. The 2023 World Robotics Expo and the 2023 World Robot Contest took place at the same time, bringing together about 160 robotics companies and scientific research institutions from around the globe, and showcasing close to 600 advanced technologies and products, over 320 representatives from international organizations, academicians, renowned experts, and entrepreneurs at home and abroad have been invited to attend.
As a general robotics company, Dreame Technology took center stage for the first time at the World Robot Conference. It unveiled a wide range of robots, including general-purpose humanoid robots, consumer-grade bionic quadruped robots, industrial-grade quadruped robots, wireless Robotic Pool Cleaner, commercial food delivery robots and floor-cleaning robots. This range highlighted Dreame’s broad competitiveness across the fields of R&D for robotic ecosystems and technologies, supply chains, production and manufacturing, talent development, and commercialization.
Dive into the cosmic intersection of human cognition and machine intelligence as we explore the paradigm-shifting rise of Artificial General Intelligence (AGI) and its potential evolution into Artificial Superintelligence (ASI). Using astrophysicist Neil deGrasse Tyson’s hypothesis of an alien encounter, we unpack the profound cognitive chasm between beings. How does a Bonobo’s linguistic prowess compare to a human intellectual titan? And as we’ve witnessed the evolution of ChatGPT from its first iteration to ChatGPT-4, are we brushing the fringes of true AGI? Philosophers like Bostrom speculate on a potential “intelligence explosion” when AI begins to improve itself. As we stand at the dawn of a new era, where machines might eclipse human intellect, we ponder our place in the vast intelligence tapestry. Beyond the philosophical, the practical implications are vast: from power dynamics to potential harm if AI goals misalign with ours. Yet, amidst these uncertainties, there’s optimism. This journey offers a profound insight into the most consequential technological evolution in our history and the pivotal choices we must make.
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