Tech
Musk’s SpaceX spends $17 billion to acquire spectrum licenses from EchoStar

Elon Musk’s SpaceX has reached a deal worth about $17 billion with EchoStar for spectrum licenses that it will use to beef up its Starlink satellite network.
The deal for EchoStar’s AWS-4 and H-block spectrum licenses includes up to $8.5 billion in cash and up to $8.5 billion in SpaceX stock. SpaceX will make approximately $2 billion in cash interest payments on EchoStar debt through November 2027.
SpaceX and EchoStar will enter into a long-term commercial agreement which will allow EchoStar’s Boost Mobile subscribers to access SpaceX’s next generation Starlink Direct to Cell service.
Shares of EchoStar surged 19% before the market opened Monday.
Last month AT&T said that it will spend $23 billion to acquire wireless spectrum licenses from EchoStar, a significant expansion of its low- and mid-band coverage networks.
EchoStar said that it anticipates that the AT&T deal and the SpaceX transaction will resolve recent inquiries from the Federal Communications Commission about the rollout of 5G technology in the U.S. The FCC had been calling for hearings on whether Echostar was properly using the spectrum that it is now selling, and its efforts to make 5G more available to communities.
EchoStar said Monday that it will use the proceeds from the sale partly to pay down debt. Current operations of Dish TV, Sling and Hughes will not be impacted, the company said.
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Musk’s SpaceX spends $17 billion to acquire spectrum licenses from EchoStar (2025, September 8)
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Tech
Solid-state device harvests body heat to power battery-free wearables and IoT sensors

A research team affiliated with UNIST has unveiled a technological advancement that allows body heat to generate electricity sufficient to power electronic devices. This innovation paves the way for the commercialization of battery-free wearable gadgets and Internet of Things (IoT) sensors that operate solely on heat generated by the human body.
Led by Professor Sung-Yeon Jang from the School of Energy and Chemical Engineering at UNIST, the research team developed the world’s first high-performance n-type solid-state thermogalvanic cell capable of powering actual electronic devices. The paper is published in the journal Energy & Environmental Science.
Thermogalvanic cells are compact generators that convert temperature differences—such as the human body temperature (~36°C) versus surrounding air (20–25°C)—into electrical energy. However, due to the minimal temperature gradient, previous systems struggled to produce enough power to operate real-world electronics.
The newly developed solid-state device overcomes this challenge by delivering sufficient voltage and current to power practical devices. While solid-state designs typically offer advantages such as safety from leakage, ion mobility issues within the electrolyte have historically limited their current output. The research team engineered an electrolyte that facilitates efficient ion transport, and further, the thermally driven ion diffusion enhances overall output voltage.
By connecting 100 of these cells in series—similar to building with LEGO blocks—approximately 1.5V can be generated from body heat, comparable to standard AA batteries. Connecting 16 such series-connected modules enables the activation of devices like LED lights, electronic clocks, and temperature/humidity sensors.
Notably, the cell’s Seebeck coefficient (voltage change per temperature difference) is –40.05 mV/K, representing up to a fivefold increase over conventional n-type cells. The device also demonstrated excellent durability, maintaining consistent performance after 50 charge-discharge cycles.
The core of this solid-state cell comprises a conductive polymer, PEDOT:PSS, and a redox couple of Fe(ClO₄)₂/3. Electrostatic interactions between the negatively charged sulfonate groups (–SO₃⁻) of the polymer and the Fe²⁺/Fe³⁺ ions establish a stable structure, while perchlorate ions (ClO₄⁻) are free to move, facilitating ion diffusion and thermodiffusion effects that boost power output.
Professor Jang stated, “This research marks a new milestone in low-temperature waste heat energy harvesting and flexible energy conversion devices. It has the potential to serve as a self-powered system for wearable electronics and autonomous IoT devices driven solely by body heat.”
More information:
Jeong-Ye Baek et al, Solid-state n-type thermodiffusion-assisted thermogalvanic cells with unprecedented thermal energy conversion, Energy & Environmental Science (2025). DOI: 10.1039/D5EE01216C
Citation:
Solid-state device harvests body heat to power battery-free wearables and IoT sensors (2025, September 8)
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Tech
Electrode porosity control boosts lithium-air battery output tenfold

The National Institute for Materials Science (NIMS), in collaboration with Seikei University, has successfully enhanced the power output of lithium-air batteries, which are attracting attention as next-generation batteries. By developing a highly porous electrode made of carbon nanotubes, the team achieved a tenfold increase in output current. The lithium-air battery developed in this study not only has extremely high energy density compared to lithium-ion batteries but also significantly improved power performance.
As a result, it is now able to supply the power required for hovering small drones, making significant improvements in flight duration feasible. These results were published online in the Journal of Power Sources on February 9, 2025.
Lithium-air batteries (LABs) are rechargeable batteries that operate through discharge and charge reactions using lithium and oxygen. They are attracting attention as an energy storage technology capable of achieving significantly lighter weight and larger capacity than conventional lithium-ion batteries, with a potential energy density 5 to 10 times higher. However, lithium-air batteries have extremely slow reaction kinetics, resulting in only very weak output current. To make use of the large amount of energy stored in lithium-air batteries, a fundamental improvement in their power output has been required.
The research team developed a highly porous carbon nanotube air electrode that significantly improved oxygen accessibility. When combined with a low-viscosity amide-based electrolyte, the new design enabled a tenfold increase in current density. The resulting battery achieved a specific power density sufficient to support hovering in lightweight drones.
Based on these results, the team aims to scale up lithium-air battery cells, with the goal of developing ultra-lightweight and high-capacity batteries that can be used as power sources for small drones and microrobots.
More information:
Akihiro Nomura et al, Highly porous carbon nanotube air-electrode combined with low-viscosity amide-based electrolyte enabling high-power, high-energy lithium-air batteries, Journal of Power Sources (2025). DOI: 10.1016/j.jpowsour.2025.236426
Citation:
Electrode porosity control boosts lithium-air battery output tenfold (2025, September 8)
retrieved 8 September 2025
from https://techxplore.com/news/2025-09-electrode-porosity-boosts-lithium-air.html
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Tech
Splunk.conf: Splunk and Cisco showcase unified platform | Computer Weekly

Having spent the best part of a year and a half working to unify its products and tools with those of its new owners Cisco, Splunk is using its annual Splunk.conf event in Boston, Massachusetts, to showcase a number of future developments, beginning with the introduction of the new Cisco Data Fabric platform.
Following the closure of the multibillion dollar purchase in 2024, Splunk and Cisco moved quickly to start to integrate their technology offerings. By last September, as Computer Weekly reported at the time, the duo already had multiple tools, such as Splunk’s Observability Cloud, working well with Cisco AppDynamics, Talos Threat Intelligence and ThousandEyes, and were eyeing closer integration in other areas.
Speaking to reporters in advance of the show’s opening keynote on Monday 8 September, Splunk senior vice president and general manager for EMEA, Petra Jenner, reflected on a busy year and said there were a lot of positive aspects to the deal.
“While we still have our own identity we are working more closely together to achieve better customer experiences,” she said. “One of the key priorities for us is to ensure that customers are really supportive. They see that we are collaborating from a technical point of view.”
Jenner said that prior to Splunk’s acquisition by Cisco, while it had had a strong and growing presence in markets such as the UK, France and Germany, there had been a recognition that it needed to invest in growth.
Cisco’s money has been a catalyst for this investment, not only in the UK but also helping open up more business in countries such as Saudi Arabia and the United Arab Emirates (UAE), said Jenner.
“The impact the acquisition had for the Splunk EMEA team has been extremely good. We have joint customer engagements and there are core initiatives going on so that customers can really leverage the joint Splunk and Cisco, not only the product but also the overall convergence,” said Jenner.
“It also suits very well the technology trends [that are] happening,” she added. “In regard to AI the platform approach is getting more important.”
Jenner also reaffirmed Splunk’s commitment to its IT channel partners both in the security and observability fields, saying it has doubled the numbers on its books. She added that drawing on the strength of Cisco partners – with all the myriad possible networking certifications available – that may not have previously considered Splunk, may help make the platform concept an easier sell to customers looking to do more.
Data Fabric turns machine data into actionable intel
Splunk.conf kicked off on Monday evening with the launch of Cisco Data Fabric, which promises to “transform machine data into AI-ready actionable intelligence”.
On the basis that AI has led to a surge in machine data, but that said data is still largely siloed, fragmented, and hardly ever used, Splunk said Cisco Data Fabric to enable customers to make better decisions, reduce their operational risk, and innovate around AI, for example by helping train custom models, powering agentic workflows, or correlating various streams of machine and business data.
Among some of Data Fabric’s features are the Time Series Foundation Model, which will power pattern analysis and temporal reasoning on time series data to enable anomaly detection, forecasting and root cause analysis, driving proactive operations and easing incident response.
Meanwhile, Cisco AI Canvas, also integrating with Splunk Cloud Platform, will provide an AI agent to orchestrate analysis workflows and workspaces for team collaboration. Splunk described this as a “virtual war room experience” that will let teams glean more in-depth insight, work together in real-time, and make decisions better.
These capabilities will be coming on stream over the next few months, with a few slated for 2026.
Kamal Hathi, Splunk senior vice president and general manager of Splunk, said machine data was now the heartbeat of digital organisations and characterised Splunk as a “heart rate monitor”.
“Our goal is to give customers the fastest, most secure path from data to action,” said Hathi.
“By embedding AI across the platform and embracing open standards, we’re not just helping organisations analyze information faster – we’re enabling them to anticipate change, scale innovation without unnecessary complexity, and deliver digital services that are more resilient, adaptive, and responsive to the needs of their users.”
IDC senior research director of cloud data management, Archana Venkatraman, said Data Fabric addressed a critical pain point – the need to quickly and safely unify vast streams of machine data in the service of resilience.
“By enabling a federated approach that eliminates data movement, it provides a pragmatic solution for organisations operationalising AI at scale,” she said.
“Its focus on real-time search, coupled with a repository for AI-ready data, provides tangible value by reducing complexity and time to insights. This unified architecture is a strong step toward helping customers build more resilient and trustworthy AI systems.”
Searching for Snowflakes
Also on the docket is the launch of Splunk Federated Search for Snowflake, a new platform integration empowering users to connect, query and combine operational and business data across Splunk and Snowflake environments.
Some of its key capabilities include unlimited onboarding of Snowflake data in Splunk; federated queries whereby users can write SPL-like queries to search Snowflake data direct from Splunk; next-gen federation capabilities to combine datasets for more impactful context and insight; and more efficient querying, letting users leverage Snowflake analytics for partial queries before performing final data joins in Splunk.
These capabilities, and others, are slated for a July 2026 release.
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