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Data Science News
Analyticsindiamag
2w
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Microsoft Claims Datacentres that Consume Zero Water for Cooling
- Microsoft has launched a new data centre design that eliminates the need for water evaporation in cooling processes.
- The design uses chip-level cooling technology and a closed-loop process that recycles water continuously between servers and chillers.
- Each data centre is expected to save 125 million litres of water per year.
- Microsoft aims to implement this zero-water evaporation design in all new data centre designs by late 2027.
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VentureBeat
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ServiceNow open sources Fast-LLM in a bid to help enterprises train AI models 20% quicker
- ServiceNow has open sourced Fast-LLM to help enterprises train AI models 20% quicker.
- Fast-LLM technology has already been used by ServiceNow to accelerate its own LLM training efforts.
- Fast-LLM can be a drop-in replacement for existing AI training pipelines with minimal configuration changes.
- Fast-LLM offers innovations in computation ordering and memory management to optimize AI training efficiency.
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Analyticsindiamag
2w
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India’s First Robotic Surgical System Receives Approval for Telesurgery
- India’s first robotic surgical system, 'SSI Mantra', has received regulatory approval for telesurgery and teleproctoring.
- The system, developed by SS Innovations, enables surgeons to perform operations remotely and train others via teleproctoring.
- Telesurgery could improve access to specialized medical care in remote regions and reduce the burden of travel for patients.
- The system has been used in over 2,000 surgeries with zero mortality and has the potential to address healthcare disparities in underserved areas.
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Medium
2w
27
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When Science Met AI: My Journey into the Future of Discovery
- AI has transformed the way research is done, making the process more efficient and maximizing the potential for discovery.
- Unlike traditional methods, AI doesn’t need to know what it’s looking for. It thrives on data and analyzing patterns and correlations at a scale no human brain can comprehend to uncover new insights.
- AI is challenging human assumptions and rewriting the rules of how we understand the world.
- As powerful as it is, AI has limitations. It can only analyze and predict based on the data it is given and the biases of its creators. Human oversight is essential in ensuring responsible use of the technology.
- Across nearly every field, AI is driving breakthroughs that were once thought impossible, from drug discovery to astronomy and agriculture.
- While AI will undoubtedly become an even more integral part of scientific discovery, we must ensure it is used ethically and inclusively.
- The challenge will be in addressing the ‘black box’ problem and making AI processes more transparent and accountable.
- The future of science is about embracing new answers, even when they come from a machine. AI isn’t here to replace us but to push us further and challenge our assumptions.
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Analyticsindiamag
2w
242
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Tesla’s Optimus Masters Walking
- Tesla’s Optimus bot can now walk smoothly on rough ground with the help of neural nets.
- Optimus has learned to walk in a human-like way and can correct itself when it slips.
- The robot reacts in real-time and maintains balance by using its arms and waist.
- Tesla Motors has made significant advancements with Optimus after the obstacles faced in November.
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Medium
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221
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Your IP for Sale: The Dark Side of Residential Proxies
- Residential proxies are commonly used to route network traffic through residential IP addresses to bypass security mechanisms.
- Some sellers of residential proxies are selling access to people's home internet networks without their knowledge.
- The use of residential proxies can be both legal and ethical, but there are also illicit and unethical uses such as DDoS attacks and click fraud.
- Caution should be taken before installing shady software or using residential proxies, and consideration should be given to finding ethically sourced IPs.
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Analyticsindiamag
2w
60
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Cloud-Based Unified Testing Platform LambdaTest Raises $38M
- LambdaTest, a cloud-based unified testing platform, has raised $38 million in its latest funding round.
- The funding will fuel the company’s efforts to revolutionize quality assurance (QA) through AI-driven solutions.
- LambdaTest has unveiled an end-to-end AI Test Agent called KaneAI, which automates QA processes and reduces manual test script generation by up to 70%.
- The platform has attracted top investors and aims to reshape the future of software testing.
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Medium
2w
104
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Finding Peace Between Natural and Artificial Intelligence
- As a data scientist toggling between natural and artificial intelligence, efficiency is everything. Optiimizing workflows can lead to mental exhaustion and burnout. Mindfulness appears to be a tool to help manage the mental strain associated with artificial intelligence. AI is not the opposite of mindfulness but rather they complement each other creating a balance between productivity and peace, efficiency and rest. Mindfulness adds clarity, creativity, and focus instead of squeezing every last drop out of every minute. More importantly, being mentally present in the moment, regardless of its pace, is key to a balanced perspective. Mindfulness helps manage the mental and emotional challenges that data science brings to optimize the mind.
- Truly achieving efficiency is more than just optimizing code or streamlining processes; it also means optimizing the mind. Mindfulness adds clarity, creativity, and focus instead of squeezing every last drop out of every minute. Mindfulness has become an essential part of the data scientist's work-flow and should be included in the approach to work.
- Efficiency is not a constant push for more output in less time but a balance between work and rest, automation, and intuition. AI can help manage technical challenges, while mindfulness can help manage mental and emotional challenges that come with it. Mindfulness and AI are complementary and not opposites.
- Incorporating mindfulness into data scientists' routines provides a sustainable rhythm that allows for quality work without experiencing burnout. Striving for a sustainable balance in the workflow will lead to mind optimization, a clearer mind, and a more balanced perspective.
- Using artificial intelligence can lead to a side effect of increasing complex layers of work, while mindfulness helps with the mental overload that comes with it. Practising mindfulness helps create a more efficient, effective, and balanced workflow.
- Data scientists can use AI tools to streamline tasks and optimize processes, but also mindfulness to manage mental strain associated with automation.
- Mindfulness offers the opportunity to take a pause, reflect and breathe in a fast-paced and demanding tech industry instead of accepting it and enabling mental exhaustion.
- Mindfulness has become a refuge for data scientists, allowing them to manage the mental challenges that come with toggling between natural and artificial intelligence. By achieving an efficient balance between natural and artificial intelligence through mindfulness, data scientists can find peace in the midst of a fast-paced and ever-changing world of data science.
- Mindfulness in data science is not just something to be done outside of work but is a tool that enhances mental clarity, creativity, and focus. By taking time to pause, data scientists return to their work with a steadier mind and more balanced perspective, leading to more efficient work.
- Mindfulness has changed the data scientist's relationship with efficiency. Mindful data scientists see efficiency as a sustainable rhythm that allows them to do their best work without getting burned out such that productivity, peace, and balance become key aspects of their work-style, not just automation and intuition.
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Analyticsindiamag
2w
320
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China Launches Advanced 504-Qubit Quantum Computer
- China recently launched the 'Tianyan-504' superconducting quantum computer, equipped with the 504-qubit 'Xiaohong' chip.
- This quantum computer represents a significant milestone in quantum computing and surpasses the 500-qubit threshold.
- The Xiaohong chip offers comparable performance to international platforms like IBM in qubit lifetime and readout fidelity.
- The Tianyan-504 quantum computer will be integrated into the Tianyan quantum computing cloud platform, accessible globally.
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Analyticsindiamag
2w
43
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Former OpenAI Lead Launches WaveForms AI to Tackle Speech Turing Test
- Former OpenAI researcher Alexis Conneau has launched WaveForms AI, a startup focused on improving spoken conversations between humans and machines.
- WaveForms AI aims to solve the Speech Turing Test and bring Emotional Intelligence to AI.
- The company secured $40 million in seed funding from Andreessen Horowitz, valuing it at $200 million.
- WaveForms AI plans to launch its first products in 2025.
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Analyticsindiamag
2w
411
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Sundar Pichai, Elon Musk Dream of Building Quantum Clusters in Space
- Google CEO Sundar Pichai suggested to SpaceX's Elon Musk about building a quantum cluster in space. Elon Musk responded positively, hinting at humanity's potential to harness galactic energy. Google's quantum chip, Willow, broke computational limitations and solved challenges that have hindered quantum computing for decades. Microsoft and IBM are also venturing into quantum computing with their hybrid quantum-classical computing approach. Amazon Web Services (AWS) recently partnered with NVIDIA to push the boundaries of hybrid quantum-classical computing. Google's roadmap aims to create a quantum computer with a thousand logical qubits. They are focusing on moving from benchmark to solving practical, commercially valuable problems.
- Willow uses 105 qubits and exponential error correction to solve challenges that have hindered quantum computing for decades. The quantum chip's capabilities show promise for revolutionary applications in AI, drug discovery and energy optimisation. Experts say Willow's performance is a defining moment, as the hardware has reached a stage where it can advance science in ways classical systems can't.
- Microsoft CEO Satya Nadella emphasised the transformative potential of fault-tolerant quantum systems. Meanwhile, IBM CEO Arvind Krishna sees quantum as the next major frontier for the company. IBM's Quantum System Two is being deployed in countries like Japan, South Korea and Germany and enables breakthroughs in materials science, chemistry and industrial processes.
- AWS partnered with NVIDIA to push the boundaries of hybrid quantum-classical computing. This partnership addresses the rising demand for classical compute resources essential for quantum tasks such as error correction and circuit simulation.
- Google's roadmap aims to create a quantum computer with a thousand well-protected logical qubits. Progress so far has been guided by Neven’s Law, a principle describing the double exponential increase in computational power as qubit quality improves and error rates decline.
- Moving from benchmarks like random circuit sampling, Google aims to solve practical, commercially valuable problems. They are working on refining error correction for achieving fault-tolerant quantum systems. Early commercial applications could arrive in half a decade or a few years according to Hartmut Neven, Founder of Google Quantum AI.
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Analyticsindiamag
2w
2.2k
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The Future of AI Agents Belongs to Amazon, Thanks to AGI SF Lab
- Amazon has announced the creation of the Amazon AGI SF Lab, a dedicated team based in San Francisco that will develop highly capable AI agents.
- The lab will be seeded by the team hired from AI startup Adept, and will focus on enabling AI agents to perform real-world actions, learn from human feedback, and infer goals.
- Amazon aims to combine large language models with reinforcement learning to solve reasoning and planning, learned world models, and generalizing agents to physical environments.
- Amazon CEO Andy Jassy highlighted the cost-effectiveness and multimodal capabilities of the recently announced Nova models, which offer performance parity with industry-leading models.
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Educba
2w
312
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AI Powered Business Platforms
- AI powered business platforms have emerged as transformative tools, helping organizations streamline processes, boost productivity, and achieve superior results.
- These platforms reshape industries by automating complex tasks, providing valuable insights, and simplifying workflows.
- Some of the best AI powered business platforms include Calendesk and Boardroom.
- These platforms revolutionize industries, increase efficiency, and drive growth by integrating advanced features like AI-driven forecasting, analytics, and centralized management dashboards.
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Analyticsindiamag
2w
1.3k
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Yotta Launches Rudra Program with NVIDIA for Startups in India
- Yotta Data Services has launched Rudra, a program in collaboration with NVIDIA to accelerate AI innovation for startups in India.
- The program provides startups and ISVs with access to Yotta's Shakti Cloud platform, which includes NVIDIA Hopper GPUs and the NVIDIA AI Enterprise software suite.
- Enrolled startups and ISVs can receive up to $50,000 in cloud credits on Yotta's Shakti Cloud for developing and deploying advanced AI models.
- The Rudra program aligns with Yotta's commitment to boosting India's AI landscape and eliminating financial barriers for startups.
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Medium
2w
73
My LLM Agents MOOC journey
- The MOOC provided a combination of expert-led lectures and practical assignments for learning LLM agents.
- Interacting with the diverse community of learners on the course's Discord channel was a highlight, fostering collaboration and networking.
- The course presented challenges, but overcoming them resulted in valuable learning experiences.
- The experience sparked ideas for future applications of LLM agents, and the learner recommends the MOOC to others interested in AI.
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