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Earlier this year, we announced our vision to empower any developer to become a space developer through Azure. With over 90 million developers on GitHub, we have created a powerful ecosystem and we are focused on empowering the next generation of developers for space. Today, we are announcing a crucial step towards democratizing access to space development, with the preview release of Azure Orbital Space SDK (software development kit)—a secure hosting platform and application toolkit designed to enable developers to create, deploy, and operate applications on-orbit.

By bringing modern cloud-based applications to spacecrafts we not only increase the efficiency, value, and speed of insights from space data but also increase the value of that data through the optimization of ground communication.

Many of the fundamental technological improvements that have accelerated the growth of Internet of Things (IoT) in the past decade remain untapped by space development missions today. With the Azure Orbital Space SDK, we will help bring those improvements to space through modern agile software deployment, container-based development, use of higher-level languages, and cloud-managed networking. Extending the power of the Azure cloud into space means that spacecraft development will take less time, cost less, and bring more people into the space development ecosystem.

By Chuck Brooks


There are many other interesting trends to look out for in 2023. These trends will include the expansion of use of a Software Bill of Materials (SBOM), the integration of more 5G networks to bring down latency of data delivery, more Deep Fakes being used for fraud, low code for citizen coding, more computing at the edge, and the development of initial stages of the implementation of quantum technologies and algorithms.

When all is said and done, 2023 will face a boiling concoction of new and old cyber-threats. It will be an especially challenging year for all those involved trying to protect their data and for geopolitical stability.

To be a sheep is to blindly follow the crowd. But is a sheep’s sheepiness really enough to make an entire flock walk around in a circle non-stop for days on end?

That’s a mystery the internet has pondered for about a week now and solving it has proved more difficult than you’d expect.

On 17 November, a news outlet run by the Chinese state, called People’s Daily, shared an eerie video on Twitter of dozens of sheep in China’s Inner Mongolia Autonomous Region a strolling around in tight, almost perfect concentric circles.

Do you think the image of Elon Musk as a good human being should come to be questioned when he’s a major contractor of the war machine? What are your thoughts?


By Alan MacLeod / MintPress News

AUSTIN, TEXAS – Elon Musk’s proposed takeover of Twitter has ruffled many feathers among professional commentators. “Musk is the wrong leader for Twitter’s vital mission,” read one Bloomberg headline. The network also insisted, “Nothing in the Tesla CEO’s track record suggests he will be a careful steward of an important media property.” “Elon Musk is the last person who should take over Twitter,” wrote Max Boot in The Washington Post, explaining that “[h]e seems to believe that on social media anything goes. For democracy to survive, we need more content moderation, not less.” The irony of outlets owned by Michael Bloomberg and Jeff Bezos warning of the dangers of permitting a billionaire oligarch to control our media was barely commented upon.

Large-capacity wireless data transmission systems are demanded along with the development of multimedia services, video-based interactions, and cloud computing in the era of big data. Compared with radio-frequency communication systems, free-space optical (FSO) signal transmission technology has the merits of high data rate, great flexibility, less power consumption, high security, and large license-free bandwidths [13], which has been widely applied in terrestrial transmission [4], last mile solutions [5], ground-to-satellite optical communication [6], disaster recovery [7], and so on. To date, up to 10 Gbit/s FSO communication system has been realized for transmission distance over 1,000 km of star-ground or inter-star communications [8], and 208 Gbit/s terrestrial communication is also reported at 55 m transmission distance [9]. Wavelength-division multiplexing (WDM) technology is commonly employed to improve data transmission capacity in fiber communication systems, which would be more effective in FSO communication systems benefitting from very weak non-linear cross talk between different frequency channels in free space. Based on a simulation platform, a WDM FSO communication system could boost the signal transmission capacity to 1.28 Tbit/s by modulating 32 optical channels with dual-polarization 16 quadrature amplitude modulation signals [10]. To date, beyond 10 Tbit/s FSO communication systems have been experimentally demonstrated recently using WDM technology [11,12]. However, a WDM communication system becomes power-hungry and bulky with the increase of transmission channels while traditional distributed feedback lasers are used as optical carriers. In addition, more rigorous requirement is imposed on the frequency tolerance of carrier lasers to avoid channel overlap with the decrease of channel frequency interval.

The invention of microresonator-based optical frequency combs provides novel integrated optical laser sources with the natural characteristic of equi-spaced frequency intervals which can overcome the challenge of massive parallel carrier generation [13 19]. In particular, the spontaneously organized solitons in continuous-wave (CW)-driven microresonators provide a route to low-noise ultra-short pulses with a repetition rate from 10 GHz to beyond terahertz. Soliton microcombs (SMCs) are typical stable laser sources where the double balances of non-linearity and dispersion as well as dissipation and gain are reached in microcavities. Meanwhile, the linewidth of the comb lines is similar with the pump laser, which enables low power consumption and costs multiwavelength narrow-linewidth carriers for a wide range of applications. Through designing the scale of microresonators, the repetition rate of SMCs could be compatible with dense wavelength-division multiplexing (DWDM) communication standard. To date, several experiments have demonstrated the potential capacity for ultra-high-speed fiber communication systems using SMCs as multiwavelength laser sources [20 30]. For instance, a coherent fiber communication system has improved the transmission capacity up to 55 Tbit/s using single bright SMCs as optical carriers and a local oscillator [20]. And dark solitons and soliton crystals are also employed as multiwavelength laser sources for WDM communication systems [27 30]. However, few studies have carried out massive parallel FSO communication systems using the integrated SMCs as laser sources.

In this paper, we experimentally demonstrate a massive parallel FSO communication system using an SMC as a multiple optical carrier generator. 102 comb lines are modulated by 10 Gbit/s differential phase shift keying (DPSK) signals to boost the FSO transmission rate up to beyond 1 Tbit/s. The transmitter and receiver terminals are installed in two buildings at a distance of ∼1 km, respectively. Using a CW laser as reference, the influence of optical signal-to-noise ratios (OSNRs) on the bit error rate (BER) performance is experimentally analyzed. Our results show an effective solution for large-capacity spatial signal transmission using an integrated SMC source which has potential applications in future satellite-to-ground communication systems.

Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset.

However, using real image data can raise practical and : The images could run afoul of copyright laws, violate people’s privacy, or be biased against a certain racial or ethnic group. To avoid these pitfalls, researchers can use image generation programs to create for model training. But these techniques are limited because expert knowledge is often needed to hand-design an image generation program that can create effective training data.

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere took a different approach. Instead of designing customized image generation programs for a particular training task, they gathered a dataset of 21,000 publicly available programs from the internet. Then they used this large collection of basic image generation programs to train a computer vision model.

Microsoft said today that security vulnerabilities found to impact a web server discontinued since 2005 have been used to target and compromise organizations in the energy sector.

As cybersecurity company Recorded Future revealed in a report published in April, state-backed Chinese hacking groups (including one traced as RedEcho) targeted multiple Indian electrical grid operators, compromising an Indian national emergency response system and the subsidiary of a multinational logistics company.

The attackers gained access to the internal networks of the hacked entities via Internet-exposed cameras on their networks as command-and-control servers.

The community will offer eight different floor plans, ranging from three to four bedrooms and two to three bathrooms. Homes will be powered by rooftop solar panels, include a Ring Video Doorbell Pro, Schlage Encode Smart WiFi deadbolt, a Honeywell Home T6 Pro WiFi smart thermostat and a Wolf Ranch security package.

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Prices are expected to start from the mid-$400,000s.