Serious health hazard from @KSRTC_Journeys@RLR_BTM
Moulds and fungus above the seat . This is potentially risking passenger life. Pathetic service.
PNR: KS9967512
Tripcode: 2116PTRBNG
Bus Number: KA40F0842
I have read the full budget document...it is brilliant. There are 2 ways to reduce the Income tax that you pay:
a) die or b) reduce your legitimate income.
No 3rd way. All loopholes plugged. True since time immemorial !!
A good sign that you're on the right path:
A lot of moments will seem perfect in hindsight, when they felt terrifying at the time.
Imperfect moments made perfect through action.
For those who want to get good "on-campus" placements, this is the priority list:
0. Luck
1. CGPA
2. Good friendship with placement cell co-ordinators
3. CP / DSA
4. Development
5. LLD
6. Core subject
This priority list is based on my personal experience.
There is nothing like 2-3% RISK FREE returns every month. It’s a scam!
Have had so many investors bring these to us for evaluation and have always told them to stay away but greed kills!
Teji Mandi, Ashesh Mehta and now Ambar Dalal.
Today we're excited to introduce Devin, the first AI software engineer.
Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork.
Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser.
When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted.
Check out what Devin can do in the thread below.
High-speed off-roads autonomous driving, with bidirectional dynamic traffic, paving the road for military and several other off-roads autonomy operations.
The demo and tech-capabilities addresses several of the requirements of not just Indian armed forces, but also addresses the solutions to various problems that are currently a topic of active research for DARPA and US DoD.
In this demo, it can be seen that our autonomous vehicle is able to seamlessly navigate off-roads environment, along with negotiating bidirectional traffic who do not follow the traffic-rules in general.
As per the driving norms a vehicle should drive on the left side. Whenever our vehicle senses that the other impeding dynamic vehicle is following the rule and is navigating on the correct side, it avoids them from the left, and when it senses the other obstacle is coming from the wrong side, rather than getting confused and coming to a halt, it avoids it from the opposite side. This is soft-traffic-rules constraints adherence.
Currently our vehicle can perform this at 44 KM/H, where it slows down for negotiation, coming to safe speeds. This framework is being scaled up further for 60-80 KM/H relative-speed avoidance maneuvers on such roads.
DARPA's RACER program requires #autonomousdriving technology that enables #autonomousvehicles to navigate off-roads at human driven speeds. This demo is a culmination of our previous demos, the one we did in April 2023, showcasing near human-speeds off-roads driving (DARPA's objective), September 2023 off-roads (showcasing generic traffic negotiation), and our generic bi-directional traffic negotiation on single lane roads.
When this R&D project is complete, our vehicle will be able to perform such maneuvers end-to-end killing each and every perception algorithm, purely on the basis of self-acquired skills via abstraction learning, enabled by our novel research directions at @swaayatt using inverse #reinforcementlearning and semi-MDPs based formulation.
#deeplearning #machinelearning
High-speed off-roads autonomous driving, with bidirectional dynamic traffic, paving the road for military and several other off-roads autonomy operations.
The demo and tech-capabilities addresses several of the requirements of not just Indian armed forces, but also addresses the solutions to various problems that are currently a topic of active research for DARPA and US DoD.
In this demo, it can be seen that our autonomous vehicle is able to seamlessly navigate off-roads environment, along with negotiating bidirectional traffic who do not follow the traffic-rules in general.
As per the driving norms a vehicle should drive on the left side. Whenever our vehicle senses that the other impeding dynamic vehicle is following the rule and is navigating on the correct side, it avoids them from the left, and when it senses the other obstacle is coming from the wrong side, rather than getting confused and coming to a halt, it avoids it from the opposite side. This is soft-traffic-rules constraints adherence.
Currently our vehicle can perform this at 44 KM/H, where it slows down for negotiation, coming to safe speeds. This framework is being scaled up further for 60-80 KM/H relative-speed avoidance maneuvers on such roads.
DARPA's RACER program requires #autonomousdriving technology that enables #autonomousvehicles to navigate off-roads at human driven speeds. This demo is a culmination of our previous demos, the one we did in April 2023, showcasing near human-speeds off-roads driving (DARPA's objective), September 2023 off-roads (showcasing generic traffic negotiation), and our generic bi-directional traffic negotiation on single lane roads.
When this R&D project is complete, our vehicle will be able to perform such maneuvers end-to-end killing each and every perception algorithm, purely on the basis of self-acquired skills via abstraction learning, enabled by our novel research directions at @swaayatt using inverse #reinforcementlearning and semi-MDPs based formulation.
#deeplearning #machinelearning
Thread
No !
Manmohan Singh didn't bring economic reforms in India
From last 30 years, Congress has been telling this false story to us
Here is the real story of economic reforms in India
Read this thread
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