It's Time.
Thrilled to start my journey as the Co-Founder & CEO of @spacerickshaw, alongside my long-time mentor, @KesanSrimathy.
We aim to revolutionize space exploration by creating next-gen, affordable, & fast Unmanned Lab Platforms in LEO, HEO, and Deep Space. (1/n)
Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India.
This kind of traffic and environment has never been attempted in the history of #autonomousdriving.
There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation.
This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease.
This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads.
It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease.
There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s).
This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year.
This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease.
#deeplearning #MachineLearning @swaayatt
Discover how Agnikul is bringing space within everyone's reach by launching anywhere, anytime, affordably! This video series is your playbook to know how we are setting benchmarks and counting down to launch!
https://t.co/QGxND32tay
#Mission01#AgnibaanSOrTeD#SOrTeD#Agnibaan #semicryogenic #privatelaunchpad #indiafirstsemicryolaunch #notasoundingrocket #rocketlaunch #MakeInIndia #aatmaNirbharBharat #madeinIndiaForTheWorld #startupIndia #additiveManufacturing #launchanywhereanytimeaffordably #agnikullaunchanywhereanytimeaffordably
#JAXA to conduct the second test of its next generation H-3 rocket on 15th Feb from 5:52 am-9:36 am IST. This rocket is important as it will be carrying out the Lunar Polar Exploration (LuPEx) mission to the moon. Also it's the first rocket in the world to use an expander (1/2)
The rotorcraft/UAV on #ISRO's upcoming Mars Lander Mission will carry ≥5 kg of payloads!! 🚁
It'll fly upto 100 m in altitude & take first of its kind measurements in the near-surface boundary of the Martian atmosphere (0-100m)! 🧪
Some of the payloads include...(1/2)
🚨💰💵 It is raining investments for Tamil Nadu at #TNGIM2024
Here's a look at all the announcements so far via @ChristinMP_
TATA Electronics to invest Rs 12,082 crore in Tamil Nadu for an enclosure manufacturing and mobile phone assembly unit in Krishnagiri District, with an employment projection of 40,500.
Apple supplier Pegatron will invest Rs 1,000 crore for a computing, communications, and consumer electronics manufacturing unit in Tamil Nadu, aiming to generate 8000 jobs
JSW Energy to invest Rs 10000 crore, employing 6600 people, in expanding existing footprint in Thoothukudi and Tirunelveli districts
TVS Group to invest Rs 5000 crore in automobile, realty and IT
Hyundai to invest Rs 6180 crore in setting up ICE & EV passenger car & EV battery manufacturing unit in Kancheepuram district & a Hydrogen innovation Valley with IIT Madras
EV maker Vinfast to invest Rs 16,000 crore
CM Stalin inaugurates Qualcomm new design centre, set up with an investment of Rs 177.27 crore & will provide jobs to 1600
Danish shipping and logistics company AP Mollar Maersk to set up Transport & Logistics solutions & Global Capability Centres across Tamil Nadu
@TRBRajaa@Guidance_TN
Video from the early hours of today, showing the panic &chaos caused by the #ammonia gas leak(at an undersea pipeline), which spread to the nearby #Ennore area, causing breathing issues, eye burning sensation for residents..
It is said to have been contained in a few hours.. #Chennai
Prime Minister reviews readiness of Gaganyaan Mission
Indian Space Station to be set up by 2035
India to send Man to Moon by 2040
India to undertake missions to Venus and Mars
https://t.co/0slL2RUWkY
@PMOIndia
🚀LVM3-M4/Chandrayaan-3🛰️ Mission:
Today, at Satish Dhawan Space Centre, Sriharikota, the encapsulated assembly containing Chandrayaan-3 is mated with LVM3.
#Gaganyaan update :
On 6 April,#ISRO conducted a 240s long hot test of human rated L-110G Vikas engine at ISRO Propulsion Complex (IPRC), Mahendragiri. This test was important as with the successful completion of this test, all planned qualification test of the engine are (1/2)
India 🇮🇳 achieved it!
ISRO, joined by @DRDO_India@IAF_MCC, successfully conducted the Reusable Launch Vehicle Autonomous Landing Mission (RLV LEX)
at the Aeronautical Test Range (ATR), Chitradurga, Karnataka in the early hours on April 2, 2023.
Some lessons of the insane past 4 days of generative AI, as someone who had access to Bing during and after the "Sydney" era. (Trying this as a long tweet rather than a thread...)
1) Bing AI was two things: a chatbot and an evolution of ChatGPT into a web-connected, supercharged form. There is no reason these two things had to be connected, but they were.
2) The new Bing AI version of search and retrieval (without the chatbot) is much more powerful than ChatGPT. It has some of the same issues (like hallucination and terrible math) but less so, and is capable of some really extraordinary tasks. When I put it to the test, it can do things like read multiple research papers and identify gaps; improve its own writing by asking it to look at online examples of good writing; and do complex analyses integrating diverse information. The work was really, really impressive.
3) The Bing Chatbot was often unsettling. I say that as someone who knows that there is no actual personality or entity behind a LLM model. But, even knowing that it was basically auto-completing a dialog based on my prompts, it felt like you were dealing with a real person. I never attempted to "jailbreak" the chatbot or make it act in any particular way, but I still got answers that felt extremely personal, and interactions that made the bot feel intentional.
4) The lesson of the Chatbot was that we can very easily be fooled by an AI into thinking it is sentient. It isn't just Turing Test passing, it is eerily convincing even if you know it is a bot, and even at this very early stage of evolution. Even if Bing isn't doing this anymore, there is no doubt other AI bots will come along, and may already be deployed (I assume governments have LLMs at the level of Bing, but with less guardrails). We should be considering about what that means.
5) The lesson of the Bing AI version of ChatGPT is that many of the things we thought AI would be bad at for awhile (complex integration of data sources, "learning" and improving by being told to look online for examples, seemingly creative suggestions based on research, etc.) are already possible. There is no doubt it will have a large effect on anyone doing information-based work. Early AI assistants, like Copilot, already cut the time for complex tasks like coding in half. This will do the same, or more, across many industries. I think every organization that has a substantial analysis or writing component to their work will need to figure out how to incorporate these new tools fast, because the competitive advantage gain is potentially enormous. And there is no instruction manual. You can only learn through trial-and-error.
We got a glimpse of the future in the past few days, and the gap between ChatGPT (which is already causing waves in many industries) and Bing AI remains enormous. I was not expecting things in AI to keep moving this fast, but now there is every indication they will continue to do so. I don't think anyone knows what this all means, but I think we should be ready for a very weird world.
India just passed China as the most populous country in the world. Why?
Because of the biggest accident in history
Look at where people live in India. What's that band up north?
Tenders floated for:
Selection of Entity forDesign, Manufacturing, Supply, Commissioning, Operation & Maintenance of Rolling
Stock on PPP Model for Bengaluru SubUrban Rail Project
Dimension: 3200mm wide rolling stock with 25kv AC OHE
Reprstn Pic(As Suburban also runs with OHE)
With 3.5 M$ seed funding of GalaxEye, the investment momentum for Indian Space Start-ups continues. Chart below from BT has known fund raises - more than 110 M$ this year. @INSPACeIND
Huuuge day for #indian#space sector! India’s-first private rocket Launchpad and Mission Control centre has been inaugurated within @isro SDSC, Sriharikota campus by @AgnikulCosmos
Agnikul’s 2-stage rocket ‘Agnibaan’ will soon be launched in maiden mission from here 🚀🚀