News
Qualcomm Snapdragon 870 Release date, New Features and Specification
The Snapdragon QSD8250 was released in December 2007 and it included the first 1 GHz processor for smartphones. Qualcomm introduced its “Krait” microarchitecture in the second generation of Snapdragon SoCs in 2011, allowing each processor core to adjust its speed based on the device’s needs.
Now the Qualcomm will soon launch its latest Snapdragon 870 processor with the upcoming Motorola Edge S smartphone. The Snapdragon 870 5G Mobile Platform is a connectivity powerhouse, featuring both the Snapdragon X55 5G Modem-RF System and the Qualcomm® FastConnect™ 6800 Subsystem. With 5G and Wi-Fi 6 capabilities, you’ll experience high speeds, increased capacity, and widespread accessibility no matter where you connect with 5G. Now below you can check the specification, new features and release date.
Qualcomm Snapdragon 870 Specification and features:
Artificial Intelligence:
- Adreno 650 GPU
- Kryo 585 CPU
Hexagon 698 Processor
- Hexagon Tensor Accelerator
- Hexagon Vector eXtensions
- Hexagon Scalar Accelerator
Qualcomm Sensing Hub
- Ultra-low-power hub for audio, voice and sensors
- Supports AI algorithms at low power
- Support for fusing contextual data streams
- including sensors, audio and voice
- Supports multiple voice assistants
- Multi-mic far-field detection and echo cancellation.
5G Modem-RF System:
- Snapdragon X55 5G Modem-RF System
- 5G mmWave and sub-6 GHz, standalone (SA) and non-standalone (NSA) modes, FDD, TDD
- Dynamic Spectrum Sharing
- mmWave: 800 MHz bandwidth, 8 carriers, 2×2 MIMO
- Sub-6 GHz: 200 MHz bandwidth, 4×4 MIMO
- Qualcomm® 5G PowerSave
- Qualcomm® Smart Transmit™ technology
- Qualcomm® Wideband Envelope Tracking
- Qualcomm® Signal Boost adaptive antenna tuning
- Global 5G multi-SIM
- Downlink: Up to 7.5 Gbps
- Uplink: Up to 3 Gbps
- Multimode support: 5G NR, LTE including CBRS, WCDMA, HSPA, TD-SCDMA, CDMA 1x, EV-DO,
GSM/EDGE
Wi-Fi & Bluetooth:
FastConnect 6800 Subsystem
- Wi-Fi Standards: Wi-Fi 6 (802.11ax), 802.11ac Wave 2, 802.11a/b/g/n
- Wi-Fi Spectral Bands: 2.4 GHz, 5 GHz
- Peak speed: 1.774 Gbps
- Channel Utilization: 20/40/80 MHz
- 8-stream sounding (for 8×8 MU-MIMO)
- MIMO Configuration: 2×2 (2-stream)
- MU-MIMO (Uplink & Downlink)
- 1024 QAM (2.4 & 5 GHz)
- OFDMA (2.4 and 5 GHz)
- Dual-band simultaneous (DBS)
- Wi-Fi Security: WPA3-Enterprise, WPA3-Enhanced Open, WPA3 Easy Connect, WPA3-Personal
Integrated Bluetooth
- Bluetooth Version: Bluetooth 5.2
- Bluetooth audio: aptX Voice audio for super-wide band voice calls, aptX Adaptive audio for robust, low latency, high-quality audio, Qualcomm TrueWireless™ Technology
Camera:
- Qualcomm Spectra™ 480 Image Signal Processor
- Dual 14-bit ISPs
- Up to 2 Gigapixels per Second
- Hardware accelerator for computer vision (CV-ISP)
- Up to 200 MP Photo Capture
- Up to 25 MP dual camera @ 30 FPS with Zero Shutter Lag
- Up to 64 MP single camera @ 30 FPS with Zero Shutter Lag
- Rec. 2020 color gamut video capture
- Up to 10-bit color depth video capture
- 4K Video Capture + 64 MP Photo
- 8K Video Capture @ 30 FPS
- Slow-mo video capture at 720p @ 960 FPS
- HEIF: HEIC photo capture, HEVC video capture
- Video Capture Formats: HDR10+, HDR10, HLG, Dolby Vision
- 4K Video Capture @ 120 FPS
- 4K HDR Video Capture with Portrait Mode (Bokeh)
- Multi-frame Noise Reduction (MFNR)
- Real-time object classification, segmentation and replacement
Audio:
- Hexagon for hardware-accelerated voice signal processing
- Qualcomm Aqstic™ audio codec (Up to WCD9385)
- Total Harmonic Distortion + Noise (THD+N), Playback: -108dB
- Native DSD support, PCM up to 384 kHz/32-bit
- Customizable “Golden Ears” filter
- Qualcomm Aqstic smart speaker amplifier (up to WSA8815)
Display:
- On-Device Display Support:
- 4K @ 60 Hz
- QHD+ @ 144 Hz
- Maximum External Display Support: up to 4K @ 60 Hz
- 10-bit color depth, Rec. 2020 color gamut
- HDR10 and HDR10+ CPU
CPU:
- Kryo 585, Octa-core
- Up to 3.2 GHz
- 64-bit Architecture
Visual Subsystem:
- Adreno 650 GPU
- Vulkan® 1.1 API support
- HDR gaming (10-bit color depth, Rec. 2020 color gamut)
- Physically Based Rendering
- API Support: OpenGL® ES 3.2, OpenCL™ 2.0 FP, Vulkan 1.1
- Hardware-accelerated H.265 and VP9 decoder
- HDR Playback Codec support for HDR10+,
- HDR10, HLG and Dolby Vision.
Security:
- Qualcomm® Secure Processing Unit: Mobile, Payment, Dual SIM/ Dual Standby
- Qualcomm® 3D Sonic Sensor and Qualcomm 3D Sonic Max
- Biometric Authentication: Fingerprint, Iris, Voice, Face
- On-Device: Qualcomm® Mobile Security, Key Provisioning Security, Qualcomm® Processor Security, Qualcomm® Content Protection, Qualcomm® Trusted, Execution Environment, Camera Security, Crypto Engine, Malware Protection, Secure Boot, Secure Token.
Charging:
- Quick Charge 4+ technology.
Location:
- GPS, Glonass, BeiDou, Galileo, QZSS, NavIC capable, and SBAS
- Dual Frequency Support
- Low Power Geofencing and Tracking, Sensor-assisted Navigation
- Near Field Communications (NFC): Supported.
Memory:
- Support for LP-DDR5 memory up to 2750 MHz
- Support for LPDDR4x memory up to 2133 MHz
- Memory Density: up to 16 GB.
General Specifications:
- Full Suite Snapdragon Elite Gaming features
- 7 nm Process Technology
- USB Version 3.1; USB Type-C Support
- Part Number: SM8250-AC.
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Qualcomm Snapdragon 870 Release Date:
The Qualcomm Snapdragon 870 will come with the Motorola Edge S smartphone on January 26. Snapdragon 870 5G is considered to be an upgrade over the last year’s Snapdragon 865 SoC.
Huawei
Future Huawei Smartwatches May Feature Auto-Gesture Control
Huawei has recently filed a new patent indicating that their future smartwatches might include auto-gesture control features. This innovative enhancement will simplify gesture management, making it more intuitive and user-friendly for consumers.
According to the details, Huawei applied for the new patent on March 23, 2022, and it was published on May 30, 2024. The patent application is titled “Method for Controlling Wearable Device” and has been published by the U.S. Patent Office.
Input reveals that the new auto-gesture control technology for future Huawei smartwatches appears somewhat similar to the Apple Watch Series 9 Double Tap functionality.
The information suggests that the new auto-gesture control technology for future Huawei smartwatches resembles the Double Tap functionality found in the Apple Watch Series 9.
This feature automatically detects the motion between the index finger and thumb to perform specific tasks. Examples of such “Double Tap” actions include answering a phone call, scrolling through settings on the watch, and replying to texts.
Unlike Apple’s Double Tap feature, Huawei’s auto-gesture control technology for wearables will detect accidental touches on the screen. In other words, this feature will address and correct issues related to the device’s touchscreen operations.
For example, if you’re having trouble using the watch’s touchscreen in the rain, the device will automatically switch to gesture controls.
In short, the technology will detect unusual touch events on the screen and automatically activate gesture controls to ensure smooth interaction between the device and users.
How does the auto-gesture control technology work?
1. Advanced Touch Recognition Algorithms:
- The watch’s touchscreen would have built-in algorithms that can differentiate between normal touch interactions and unusual patterns.
- For example, rain might cause multiple, scattered touch points on the screen, while a finger swipe would typically leave a smooth, linear trail.
- Upon detecting unusual touch patterns, the algorithm would trigger a switch to auto-gesture control mode.
2. Multi-Sensor Fusion:
- The watch could combine touch data with input from other sensors like the accelerometer and gyroscope.
- Rain hitting the watch might cause slight vibrations that the accelerometer could detect.
- Additionally, the gyroscope might not register the typical wrist movement associated with deliberate touch interaction.
- By combining touch data with these other sensors, the watch could build a more comprehensive picture of user interaction and trigger auto-gesture control when necessary.
3. Machine Learning:
- Huawei might employ machine learning algorithms on the watch itself or on a connected smartphone.
- The algorithm would be trained on a vast amount of data to differentiate between normal touch interactions and various types of interference like rain, sweat, or accidental touches.
- Over time, the machine learning model would continuously learn and improve its accuracy in recognizing unusual touch patterns.
Gesture Recognition for Control:
Once the watch detects the need for auto-gesture control, it would need to recognize the user’s gestures:
- Pre-programmed gestures: Users could set up specific hand movements beforehand, like clenching a fist for skipping a song or rotating the wrist for volume control.
- Context-aware gestures: The watch could analyze the situation and suggest context-appropriate gestures. For instance, during a workout, raising your arm with a clenched fist could be interpreted as “pause music.”
While the specifics remain to be seen, auto-gesture control has the potential to significantly improve smartwatch usability in various situations.
Overall, the concept of auto-gesture control for Huawei smartwatches holds promise. It could enhance user experience by adapting to different scenarios. However, we’ll need to wait for official announcements to get a clearer picture of its implementation details and compatibility with various operating systems and hardware.
via:- HC/huaweinews
Huawei
Huawei Developing Celia Assistant with 5.5G and AI Features
Huawei plans to develop a new version of its Celia assistant, featuring upgrades like 5.5G and AI capabilities. The company announced this at the 2024 Mobile Communications High-Quality Development Forum on June 7.
At the event, Huawei’s Senior Vice President, Cao Jibin, discussed how teamwork can usher in the era of 5G-A technology in the region.
Cao also announced that Huawei plans to develop a new Celia super assistant with 5.5G network technology and advanced AI features.
This new Celia assistant will be built on the Pangu AI large model. Since Huawei is set to launch the Pangu Model 5.0 at HDC 2024, this technology is expected to be integrated into the new assistant app.
Currently, the Celia voice assistant uses Large Language Model (LLM) AI and advanced algorithms. However, Huawei aims to make it even smarter and more efficient for users. Cao believes these enhancements will better meet users’ needs.
“Huawei is the first company to introduce AI into smartphones. In the next step, we will build Celia into a super assistant based on the Pangu model, integrating the capabilities of 5G + AI to provide users with better devices.” – says Cao Jibin.
Apart from the Celia assistant, Cao Jibin discussed the benefits of 5G-A technology, also known as 5.5G. This advanced network offers faster, more stable, and more functional mobile communication compared to previous versions.
Over the next 5-10 years, 5G-A will become more powerful and benefit individual users, families, offices, and other settings. It will also boost digital transformation and introduce various AI facilities for customers.
Cao mentioned that the demand for smart technologies will increase by 100 times, and AI computing will grow by 500 times. Despite slow progress in chip production, he is optimistic about future improvements.
via:- weibo/huaweicentral
News
Samsung Expands DIY Repair Program to Include Galaxy S23, Z Fold 5, Flip 5, and More
Samsung is making it easier for users to fix their devices by expanding its DIY repair program. In a recent announcement, Samsung shared that over a dozen new devices will be included in the Self-Repair program. Among them are the Galaxy Z Fold 5 and Galaxy Z Flip 5, marking the introduction of DIY repair options for Samsung’s foldable phones.
The Self-Repair program will provide users with access to parts and guides for fixing their devices at home. Samsung [Samsung Newsroom Post] is taking a step towards empowering users to take control of their device maintenance, offering support for popular devices like the Galaxy Z Fold 5 and Galaxy Z Flip 5 in this latest expansion.
Until now, Samsung mainly provided DIY repair options for its regular smartphones, tablets, and laptops. However, when it came to the more intricate foldable models like the Galaxy Fold and Flip, the company limited users to professional repair services due to the complexity of these devices.
Now, in a noteworthy move, Samsung is expanding its DIY repair support to include its foldable models, starting with the Galaxy Z Fold 5 and Galaxy Z Flip 5. This means users will soon have the option to tackle repairs at home, marking a shift in Samsung’s approach to empower users in maintaining and fixing their foldable devices.
This development follows Google’s recent introduction of DIY repair options for its Pixel Fold, though it’s worth noting that repair parts for the Pixel Fold can be relatively expensive, such as the inner screen alone costing $900. As Samsung joins the DIY repair trend for foldables, it’ll be interesting to see how this impacts the accessibility and affordability of maintaining these innovative devices.
The full list of new Self-Repair options for Galaxy devices includes:
- Galaxy Z Fold 5
- Galaxy Z Flip 5
- Galaxy S23
- Galaxy S23+
- Galaxy S23 Ultra
- Galaxy S23 FE
- Galaxy A05s
- Galaxy Tab S9
- Galaxy Tab S9+
- Galaxy Tab S9 Ultra
- Galaxy Tab S9 FE
- Galaxy Tab S9+ FE
- Galaxy Tab A9
- Galaxy Tab A9+
- Galaxy Book 2 Pro (15-inch)
- Galaxy Book 2 Pro 360 (15-inch)
Samsung is making its Self-Repair program available to more people around the world. The program is spreading to South Korea and over 30 European countries, including places like Denmark, Greece, Hungary, and Portugal. However, it’s important to note that, as of now, these new devices are not yet supported in the United States, and parts are not available from Samsung’s retail partner, iFixit.
via:- 9to5google/samsungnewsroom/ifixit