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Technology News
Medium
4h
123
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Legal Considerations of Claiming KlimaDAO $KLIMA Airdrops
- KlimaDAO $KLIMA airdrops involve distributing free tokens to cryptocurrency holders or users who complete specific tasks.
- Participating in these airdrops can provide access to valuable tokens with potential for future value appreciation.
- To participate in KlimaDAO $KLIMA airdrops, users can use the DappRadar platform to discover and track airdrop opportunities.
- It is important to prioritize safety and security when participating in airdrops and to avoid scams or fraudulent schemes.
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Teslarati
4h
92
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Rivian launches charger designed to open charging network to other EVs
- Rivian has unveiled a new charger design to open its charging network to other electric vehicle (EV) brands.
- The Rivian Adventure Network (RAN) will be available to all compatible EVs later this year.
- The charger design includes 400- and 800-volt packs, CCS connectors, and support for NACS.
- Rivian plans to retrofit its current sites with the new charging equipment and leverage funding from various programs to support EV charging infrastructure expansion.
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Gsmarena
5h
216
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Weekly poll results: the Motorola Edge 50 series is promising but overpriced
- Motorola Edge 50 series pricing deemed too high in a recent poll.
- Motorola Edge 50 Ultra criticized for high cost and Snapdragon 8s variant.
- Motorola Edge 50 Pro received the most positive votes, but Snapdragon 7 Gen 3 performance is not on par with competitors.
- Motorola Edge 50 Fusion's price and specs are not impressive, generating less interest.
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Brighter Side of News
5h
253
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Scientists unearthed a 240-million-year-old ‘Chinese Dragon’
- Scientists have discovered a 240-million-year-old fossil of an aquatic reptile resembling a Chinese dragon in Guizhou Province, southern China.
- The fossil belongs to the Dinocephalosaurus orientalis and provides a comprehensive view of the creature, measuring about 16 feet in length.
- Dinocephalosaurus was a sea reptile with a long neck that likely used it to catch fish, but its limb structure suggests it spent most of its time in the water.
- The discovery has fascinated scientists and offers insights into the evolution and feeding behavior of this ancient reptile.
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Medium
5h
75
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The Great AI Disruption: Preparing for a World Transformed by Artificial Intelligence
- AI has transformative potential, but requires navigating short-term challenges.
- Democratizing AI through initiatives like making ImageNet freely available for commercial use.
- The need for international organizations and agreements to address AI challenges.
- Concerns about job displacement, but an opportunity to redefine work and create a more balanced society.
- Addressing the risks of AI misuse through robust regulation and ethical guidelines.
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Tech Radar
5h
289
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NYT Strands today — hints, answers and spangram for Sunday, April 28 (game #56)
- Today's NYT Strands theme is Coming clean
- Some clue words for today: DIET, WORSE, POEM, DITCH, WIDEN, WATCH
- Today's spangram hint: Water fall
- Today's spangram starts at left, 3rd row and ends at right, 4th row
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Medium
5h
138
Backward Propagation is here to stay part3(AI 2024)
- Researchers have used integer arithmetic for both forward and backward propagation in the fine-tuning of language models like BERT to save memory and computation.
- The metric performance of fine-tuning 16-bit integer BERT matches both 16-bit and 32-bit floating-point baselines. Using 8-bit integer data type, integer fine-tuning loses an average of 3.1 points compared to the FP32 baseline.
- A new efficient sparse training method with completely sparse forward and backward passes has been proposed for deep neural networks. This method achieves faster training and saves memory usage.
- The proposed algorithm for sparse training is much more effective in accelerating the training process, up to an order of magnitude faster compared to previous methods.
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Teslarati
5h
6
Image Credit: Teslarati
Tesla increases Model 3 Performance price in the U.S.
- Tesla has increased the price of the Model 3 Performance in the U.S. by $1,000.
- The new price for the Model 3 Performance is $53,990, but it is still eligible for the $7,500 tax credit.
- The Model 3 Performance price in Canada remains unchanged at CAD $69,990.
- Certain package options may make the Model 3 Performance ineligible for the tax credit.
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Hackaday
5h
20
Image Credit: Hackaday
RGB LED HexaClock Doesn’t Actually Light Up the Night
- The HexaClock is a beautiful and useful clock designed by Bulduper.
- The clock features a light sensor for automatic brightness adjustment and can also be programmed using a web app.
- It is powered by an ESP8266 on a custom PCB and controls 127 individually addressable RGB LEDs.
- The clock is available on GitHub for those interested in building their own.
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Medium
5h
41
One thing is becoming quite evident in our constantly changing environment: the digital world is…
- The digital world offers opportunities to bridge cultural divides and amplify underrepresented perspectives.
- Embrace the internet, explore online communities, and utilize social media to bring about positive change.
- With great power comes great responsibility - use your internet presence to encourage others and advance society.
- Let's make the most of the internet's potential to create a promising, inclusive, and motivating future.
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Medium
5h
93
Backward Propagation is here to stay part2(AI 2024)
- Transfer-based attacks generate adversarial examples on the surrogate model, which can mislead other black-box models.
- Non-linear layers like ReLU and max-pooling truncate the gradient during backward propagation, undermining the transferability of adversarial examples.
- A novel method called Backward Propagation Attack (BPA) is proposed to increase the relevance between the gradient and loss function, boosting adversarial transferability.
- Conditional Backward Propagation of Chaos investigates the well-posedness of a backward stochastic differential equation and proves propagation of chaos in an associated interacting particles system.
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Medium
6h
27
Backward Propagation is here to stay part1(AI 2024)
- Training deep neural networks typically involves substantial computational costs during both forward and backward propagation.
- Dropping Backward Propagation (DropBP) is a novel approach designed to reduce computational costs while maintaining accuracy.
- DropBP randomly drops layers during backward propagation without affecting forward propagation.
- Utilizing DropBP can reduce training time, increase convergence speed, and enable training with a larger sequence length.
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Medium
6h
221
New Research on Lovasz theta function part1(AI 2024)
- Researchers have conducted a study on the quantum channel version of Shannon’s zero-error capacity problem.
- They propose to consider a certain operator space as the quantum generalisation of the adjacency matrix, which allows for the formulation of plain, quantum, and entanglement-assisted capacity.
- They introduce a quantum version of Lovasz’ theta function, which upper bounds the number of entanglement-assisted zero-error messages.
- The function is given by a semidefinite programme and is multiplicative with respect to the natural graph product.
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Medium
6h
114
Use cases of Hessian Matrix in Machine Learning part4
- Controlling error fields during coil fabrication and assembly is crucial for stellarators.
- The Hessian matrix method is used to identify important coil deviations.
- Analytical differentiation of magnetic island size and quasi-symmetry over coil parameters is performed.
- By applying the method to the CFQS configuration, important perturbations are successfully determined.
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Medium
6h
97
Use cases of Hessian Matrix in Machine Learning part3
- Implementation of the standard full waveform inversion (FWI) poses difficulties as the initial model offsets from the true model. The wavefield reconstruction inversion (WRI) was proposed to mitigate these difficulties by relaxing the wave-equation constraint.
- A new approximate Hessian, called Augmented Gauss-Newton (AGN) Hessian, is developed for nonlinear term in the Hessian matrix of FWI. An updating formula resulting from the AGN Hessian on the FWI problem has an intimate connection with the WRI method.
- A fast algorithm is introduced for evaluating the Gauss-Newton Hessian (GNH) matrix for fully-connected feed-forward neural networks. The algorithm reduces the computation cost from O(Nn) to O(n+d/ε^2) work, where N is the number of parameters, n is the number of data points, d is the output dimension, and ε is the prescribed accuracy.
- The fast algorithm can be used to construct the hierarchical-matrix (H-matrix) approximation of the GNH matrix, which reduces the memory footprint and factorization work from O(N^2) and O(N^3) to O(Nro) and O(Nr^2o), respectively. The performance of the fast algorithm and H-matrix approximation is demonstrated on classification and autoencoder neural networks.
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