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Robotics News
Livescience
1w
141
Image Credit: Livescience
Watch Chinese security robot with wheels for feet scramble down hills and perform acrobatics
- Chinese robotics firm DEEP Robotics has released its Lynx robot, a quadruped robot with wheels instead of hands and feet.
- The Lynx robot can drive, climb, perform acrobatics, and map difficult outdoor terrain.
- It has the ability to travel on both two and four legs, with wheels on all limbs, enabling it to move in various situations.
- The Lynx robot is equipped with a high-definition camera and a proprietary artificial intelligence platform for obstacle detection and navigation.
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Digitaltrends
2w
21
Image Credit: Digitaltrends
Watch how Tesla’s humanoid robot recovers from a stumble
- Tesla has released a video showcasing its Optimus humanoid robot's ability to handle soft and uneven ground.
- The robot impressively recovers from a slip while descending a small but steep slope.
- Tesla CEO Elon Musk stated that Optimus can walk on highly variable ground using neural nets.
- Future plans for Optimus include incorporating computer vision, improving its walking style, and ensuring safe falls to minimize damage.
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The Robot Report
2w
833
Image Credit: The Robot Report
Diligent Robotics’ new AI advisory board to advance embodied AI in healthcare robotics
- Diligent Robotics has formed an AI Advisory Board to advance embodied AI in healthcare robotics.
- The advisory board consists of leaders from Stanford, NYU, and Carnegie Mellon.
- The board aims to push the boundaries of embodied AI in real-world environments.
- By combining academic research and practical expertise, the board will enhance Diligent Robotics' leadership in collaborative robotics.
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Medium
2w
253
Image Credit: Medium
The future began on August 19, 2021
- The future began on August 19, 2021.
- The development of human-like AI, robotics, reusable rockets, and clean energy is now possible.
- During the 1990s, progress in these areas was slow due to lack of funding and skepticism.
- Elon Musk's companies, SpaceX and Tesla, have emerged as key players in advancing these technologies.
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The Robot Report
2w
360
Image Credit: The Robot Report
GM will no longer fund Cruise’s robotaxi development
- General Motors Co. announced that it will no longer fund Cruise LLC’s robotaxi deployment work.
- GM cited long development times, high costs, and an increasingly competitive robotaxi market as the reasons for its decision.
- GM will combine the Cruise and GM technical teams to advance autonomous and assisted driving.
- GM plans to acquire the remaining shares of Cruise to restructure and refocus its operations.
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Unite
2w
121
Image Credit: Unite
Speak Secures $78M Series C Funding at $1B Valuation to Transform AI-Powered Language Learning
- Speak, a leader in AI-powered language learning, has raised $78 million in Series C funding at a $1 billion valuation.
- The company prioritizes spoken fluency through innovative AI technology and focuses on speaking out loud as the most effective way to achieve fluency.
- Speak has helped over 10 million learners in 40+ countries achieve measurable progress through its AI-powered virtual tutor and personalized lessons.
- With plans to expand into new markets and introduce more languages, Speak aims to build the world's most advanced AI language tutor.
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Unite
2w
326
Image Credit: Unite
Dr. Devavrat Shah, Co-Founder & CEO of Ikigai Labs – Interview Series
- Dr. Devavrat Shah is the Co-founder and CEO of Ikigai Labs and is a professor and a director of Statistics and Data Science Center at MIT.
- Ikigai Labs provides an AI-powered platform designed to transform enterprise tabular and time series data into predictive and actionable insights.
- The platform utilizes patented Large Graphical Models, enabling business users and developers across various industries to enhance their planning and decision-making processes.
- Large Graphical Models (LGMs) are probabilistic view of data, identify the appropriate 'functional patterns' from a large 'universe' of such patterns given the snippet of data, suited for modeling structured data and require less data than Large Language Models (LLMs) and therefore have lower compute and storage requirements.
- LGMs enables good predictions with minimal and flawed data and will have a huge impact on businesses looking to employ AI, and offer a simple low code/no code experience for business users.
- Ikigai integrates LGMs with a human-centric approach through the eXpert-in-the-loop feature, enhancing the accuracy and adoption of AI models in enterprises.
- The core LGM technology is the biggest differentiator of Ikigai’s platform, and LGMs provide the closest thing to a crystal ball possible for making the best decisions.
- Ikigai aims to enable full featured Reinforcement Learning for operations teams in both the short and long term.
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Unite
2w
90
Image Credit: Unite
How Business Leaders Can Achieve Their Goals in Both AI and Sustainability
- For companies, balancing AI adoption and environmental impact is an imperative.
- AI’s energy consumption could exceed the total power of Iceland by 2028.
- Integrating AI and furthering eco-friendly objectives requires a certain attitude.
- Automation is central to business culture and can further your sustainability goals.
- Programming tasks overnight and optimizing scheduling can help lower energy consumption and costs.
- Opting for foundational models can be custom-tuned for specific purposes in a fraction of the time and energy costs.
- Smaller models trained on specific and relevant data can perform just as well as larger ones.
- Many open-source options provide an energy- and cost-effective solution.
- Implementing automation can enhance system efficiency and save energy.
- AI can perform like a sustainability consultant, delivering more benefits than drawbacks.
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Unite
2w
206
Image Credit: Unite
Jamie Caramanica, DISCO’s SVP of Engineering – Interview Series
- DISCO's SVP of Engineering, Jamie Caramanica, explains how the Cecilia AI platform enhances legal workflows and aligns with DISCO's overall mission of making law better.
- Cecilia AI addresses the core tasks that lawyers perform, and introduces several tailored innovations that address the specific needs of legal professionals.
- Cecilia Q&A allows users to ask natural language questions across millions of documents and receive precise, citation-supported answers, rapidly speeding up fact-finding efforts.
- Cecilia Timelines automatically generate timelines of key facts within minutes of uploading a document, allowing lawyers to quickly grasp the narrative and identify pivotal moments.
- Cecilia AI accelerates the document review process, particularly for first-pass reviews, allowing legal teams to quickly identify the most relevant information and develop winning strategies.
- DISCO ensures the security and compliance of the Cecilia AI platform so that client data remains private and secure at all times.
- Disruptive generative AI will continue to transform the legal sector, and DISCO is investing in research and development to stay at the forefront of AI innovation in the legal space.
- DISCO is working closely with its AI and product teams to identify meaningful areas where AI can make a tangible difference for legal professionals.
- According to a recent study by DISCO, nearly 75% of legal practitioners are either already using generative AI or plan to do so within the next couple years, suggesting the profession as a whole is on the cusp of significant transformation.
- By focusing on practical, user-driven AI development, DISCO sets itself up to lead AI innovation in the legal industry.
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Unite
2w
21
Image Credit: Unite
Supercharging Productivity: A Practical Guide to Implementing AI Tools in Your Organisation
- Generative AI is fundamentally altering the role, task, and strategic priority across industries, creating a ripple that is changing the way we do creativity and efficiency.
- This article provides practical insights on how to implement AI tools to increase productivity and re-think workflows in your organisation.
- The introduction of AI tools requires a well-laid foundation to guarantee easy transitions with continued adoption with leadership sponsorship and strategic objectives.
- Individualized training instills confidence in people and ensures that employees will apply AI effectively in enhancing their productivity. Providing staff with an extensive knowledge base comprising how-to videos, frequently-asked-questions, and best practice guides offers flexible on-demand support.
- A culture of friendliness towards AI will foster innovation, knowledge sharing, and open communication about AI applications, beyond training.
- Phased rollouts offer a controlled environment in which to test AI solutions, enabling an organization to garner first insights before scaling. Metrics will range from time saved, error reduction rates, or even enhanced productivity, aligned with initial objectives.
- The AI landscape continuously changes, and iteration is the only way to maintain relevance for organizations. Continuous betterment of the AI-driven CRM system will be created based on customer needs and market trends for relevance and effectiveness. In this way, AI applications evolve with current needs.
- AI deployment is more than only gains in productivity; it’s a journey of innovation and collaboration. AI smooths more than just operations; it builds a work environment that frees employees to do meaningful, strategic work.
- Proper setting of objectives, investment in customized training, creating a culture of collaboration, and continuous front improvement will position your organization for a future where AI enhances human capability.
- AI becomes an important enabler in teams, creativity, and accomplishing continuous productivity gains in sustainable ways in the digital era.
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Unite
2w
219
Image Credit: Unite
LambdaTest Raises $38M to Advance Software Quality Assurance with KaneAI, the Intelligent Testing Assistant
- LambdaTest, a cloud-based QA platform, has raised $38 million in funding to advance software quality assurance.
- The funding round was led by Avataar Ventures, with participation from Qualcomm Ventures.
- LambdaTest aims to accelerate time to market through AI-driven test authoring, orchestration, and execution.
- The company's intelligent testing assistant, KaneAI, replaces manual scripting with AI-driven test automation.
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13 Likes
Unite
2w
395
Image Credit: Unite
Gentrace Secures $8M Series A to Revolutionize Generative AI Testing
- Generative AI testing and monitoring firm Gentrace has secured $8m in a round led by Matrix Partners with participation from Headline and K9 Ventures.
- The funding coincides with the launch of Gentrace’s flagship tool, Experiments, to increase the accessibility, collaborative and efficient testing of large language models.
- Gentrace aims to remove the barriers between engineering teams and non-engineering stakeholders such as product teams and QA specialists.
- With generative AI's growth projected to reach $38.7bn by 2030, Gentrace's three-pillar approach focuses on testing environments, performance analytics and collaboration through Experiments.
- Gentrace's no-code interface allows non-technical users to evaluate artificial intelligence systems, such as GPT, for edge cases and safety.
- Early adopters of Gentrace's platform, including Webflow and Quizlet, have increased the speed of evaluating tests and predictive impact of model changes.
- Gentrace plans to use the funding to expand its engineering, product and go-to-market teams, with advanced features in the development pipeline such as threshold-based experimentation.
- The platform recently achieved the ISO 27001 certification, demonstrating its approach to securing customer data.
- Matrix Partners' Kojo Osei believes that Gentrace is setting a new standard for AI reliability and usability while Headline's Jett Fein adds that the platform is indispensable for deploying AI at scale.
- Partner support underscores the value of the platform as the rise of generative AI continues to fuel the need for effective and safe AI implementation tools.
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23 Likes
Embedded
2w
309
Innovation Update: MEET THE ROBOTS!
- Robots are being developed that can talk, dance, sing, and mimic the voice and thought patterns of their inventors.
- There are already more than 20 million industrial robots in use. Amazon alone has over 200,000 robots moving products in its warehouses and fulfillment centers.
- Sophia, a humanoid robot developed in Hong Kong uses AI, visual data, facial recognition and speech technology to engage in human conversation. In 2017, she was the first robot to gain “human” status, after being granted legal citizenship by Saudi Arabia.
- The University of Pisa and Biomimic Studio in London have designed a humanoid robot that looks like a 12-year-old boy, used to study social interactions, emotions, intelligence, and human behaviors being integrated into the robot’s cognitive architecture.
- In Japan, Dr. Hiroshi Ishiguro has designed a series of full-sized humanoid robots called Geminoids, which can reproduce the voice, movements, facial expressions, and behaviors of a human model they are based on.
- The development of humanoid robots that look, talk, and behave like the real humans they are based on raises some interesting possibilities, one being that we could create robot versions of ourselves who would be able to interact with colleagues and family members after we die.
- Some potential killer apps for humanoids include using robots to perform tasks too dangerous for human workers, such as searching for survivors in earthquake and flood zones and replacing human soldiers with robot armies.
- To achieve these killer apps for humanoids, smarter, faster, and better-equipped robots are needed, with longer-lasting batteries and better cognitive systems.
- Innovation in robotics is full of possibilities and the development of robotics combined with artificial intelligence (AI) could lead to the development of robots that are self-aware.
- It is important to maintain the principle that robots must not injure humans but rather bring mutual benefit to humans and humanoids as industrial robots are widely used today.
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Medium
2w
17
Image Credit: Medium
How AI-Powered Tools are Transforming the Creative Industry
- AI-powered tools are transforming the creative industry by assisting in writing, storytelling, and content generation.
- Image and video editing tools leverage AI to enhance designs, suggest elements, and automate editing processes.
- AI algorithms personalize experiences in advertising, entertainment, and product recommendations based on user preferences.
- AI-powered tools also aid in art generation, 3D modeling, music composition, scriptwriting, and campaign optimization.
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Pymnts
2w
21
Image Credit: Pymnts
AI Takes Out the Trash as Recycling Goes High-Tech
- Colorado-based company AMP has raised $91 million to expand its AI-powered recycling operations.
- AMP's AI utilizes deep learning to identify materials by analyzing patterns in colors, textures, shapes, and logos.
- The technology aims to boost recovery rates, reduce contamination, and optimize waste operations.
- Other AI-powered systems in waste management facilities are also gaining traction, improving sorting efficiency and addressing labor shortages.
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