Apple just revealed its latest MacBook Pros, which are powered by the M5 Pro and M5 Max CPUs. Engineers crafted the M5 Pro and M5 Max around a new Fusion Architecture. Separate dies combine into one seamless system-on-a-chip, optimized entirely for AI workloads alongside traditional computing demands.

This beast is powered by an 18-core CPU, with six of its cores being the absolute fastest out there – we’re talking the fastest single cores ever – and the other 12 designed to handle the long haul of multiple threads running at the same time. When it comes to CPU-intensive lift jobs, performance has increased by a solid 30% over previous versions.

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The graphics side of things has also seen a significant improvement, with each core now having its own dedicated Neural Accelerator. The M5 Pro has a memory bandwidth of 307GB/s, which doubles to 614GB/s on the M5 Max. The M5 Pro can have up to 64GB of unified memory, while the M5 Max can have up to 128GB. Apple claims up to four times the AI performance of the previous generation and eight times faster overall than the outdated M1-era machines.

Developers will appreciate the improvement, since they can now work with large language model prompts four times faster than on a MacBook Pro with an M4 Pro or Max CPU. They can also generate photographs 8 times faster than the previous M1 Pro and Max sets. Graphics users will be pleased to know that graphics workloads have improved by 50% over the old M4 counterpart. In other tests, 3D rendering in Redshift was 1.4 times faster on the M5 Pro, while video effects in DaVinci Resolve were three times faster on the M5 Max.

Storage performance has been improved significantly, with read and write rates of up to 14.5GB/s, which is twice as fast as previous models. If you require tons of capacity, you’ll be glad to know that base configurations have increased: the M5 Pro starts at 1TB and the M5 Max at 2TB, all without additional expense.

The battery life appears to be very respectable, lasting up to 24 hours whether plugged in or on the road. Charging is very speedy, reaching 50% in 30 minutes if you use a 96W or greater charger. The Liquid Retina XDR display still offers 1600 nits of peak HDR and 1000 nits for normal screens, with the option of nano-texture to reduce glare. You have the same 12MP Center Stage camera that allows those on video calls to see you, as well as Desk View, video studio-quality mics, and a six-speaker system with Spatial Audio for a great media experience.

Connectivity options include three Thunderbolt 5 ports, HDMI with up to 8K output, an SDXC slot, and, of course, MagSafe 3. The M5 Pro can function with two external high-resolution screens, while the M5 Max can support four. Apple’s N1 wireless processor, which includes Wi-Fi 7 and Bluetooth 6, provides even better, more stable wireless communication.

As you might have expected, costs have risen to match the increased power and storage. The 14-inch MacBook Pro with M5 Pro costs $2,199 ($2,049 education pricing), while the 16-inch version starts at $2,699 ($2,499 education). M5 Max models, on the other hand, begin at $3,599 for the 14-inch model and $3,899 for the 16-inch model ($3,299 and $3,599 education, respectively). Both space black and silver finishes are offered. Pre-orders will be accepted starting March 4, with delivery beginning March 11.

Google Chrome will shift from a four-week to a two-week release cycle to roll out new features, bug fixes, and performance improvements more frequently.

With the release of Chrome 153 on September 8, Google will start shipping two new stable versions of the browser every month, breaking the long-standing schedule developers followed since 2021.

The new model applies to both beta and stable releases across Desktop, Android, and iOS. The new development cycle is reflected in the table below:

However, the Dev and Canary channels for early development and testing will continue on the current schedule. Also, the ‘Extended Stable’ branch will remain on its existing eight-week cycle for enterprise customers who need longer update timelines.

Google says the smaller, more frequent releases will reduce disruption and simplify debugging while maintaining stability due to recent process improvements.

“While releases will be more frequent, their smaller scope minimizes disruption and simplifies post-release debugging,” Google says in a press release.

“And thanks to recent process enhancements, we are confident this shift will maintain our high standards for stability.”

For Chrome users, the impact of this change should not be dramatic, but they can expect to see new feature rollouts more frequently. Chrome updates occur silently in the background, but restart prompts may appear more often now.

Although security fixes will still arrive as part of milestone releases, Chrome will receive weekly security updates according to the current model announced in August 2023.

According to it, Chrome receives security fixes every week to reduce the “patch gap,” shortening the opportunity window for hackers to exploit vulnerabilities in one of the world’s most popular web browsers.

With the latest announcement, Google increases the new release cadence for Chrome, building on the previous change, but with a broader, more structural goal this time.

Chrome had a relatively calm start to the year so far, with only one zero-day vulnerability (CVE-2026-2441) reported as actively exploited in the wild. In 2025, hackers leveraged eight Chrome zero-days in attacks.

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As AI-powered browsers from companies like OpenAI, Perplexity, and others attempt to carve out a space for themselves in a market that’s long been dominated by Chrome, Google says that it’s now speeding up the pace of Chrome releases. Starting this September, Chrome will move from a four-week release schedule to a two-week schedule, the tech giant announced on Tuesday.

Chrome has committed to shipping a new milestone of some sort with each release, in areas like stability, speed, or ease of use. (This is in addition to the weekly security updates that were introduced back in 2023.) As a result, those milestones will now come twice as frequently.

Officially, Google says that the new schedule reflects the ever-changing web platform, and it wants to ensure developers have immediate access to the latest tools and improvements. However, the move comes at a time when Chrome is finally facing what could one day become real competition from AI model providers, who are trying to rebuild the browser for an agentic web, where more tasks are automated on users’ behalf.

ChatGPT Atlas, OpenAI’s web browser, offers its AI assistant built in and is experimenting with various automations. Perplexity’s Comet, meanwhile, includes a sidecar AI assistant for all, and other tools like an email assistant and meeting scheduler for itspaid customers.

In response to the emerging threats, Google has been rapidly rolling out deeper Gemini integrations into Chrome, including its own set of agentic features for autonomous tasks.

Google told TechCrunch this latest move isn’t AI-related, but it’s hard to see how the need to compete at a faster pace isn’t playing a role.

The new release schedule starts with the beta and stable versions (ver. 153) of Chrome on September 8, 2026, and will apply to all platforms, including desktop, Android, and iOS. No changes are being made to other early release platforms, like the Dev and Canary channels.

The Extended Stable release, designed for enterprise admins and Chromium embedders who need more time to manage updates, will continue to be on an eight-week cycle, as before. This option will also still be available to Chromebook users, Google notes.

Optimizing a Battery Electric Vehicle Thermal Management System

This webinar looks at a Battery Electric Virtual Vehicle Model of a mid-size BEV, and uses Simulink and Simscape to facilitate design exploration, component refinement, and system-level optimization. The virtual vehicle comprises five subsystems: Electric powertrain, driveline, refrigerant cycle, coolant cycle, and passenger cabin. The model will be tested using different drive cycles, cooling, and heating scenarios.  The results will be analyzed to determine the impact of the different design parameters on vehicle consumption.

The resulting virtual vehicle will be used to:

• Test different drive cycles and environmental conditions
• Perform sensitivity analysis
• Optimize model to improve thermal performance and consumption

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Liquid oxygen is used in rockets and treated with care in laboratories, but it’s not something that people think about in everyday life. Except for one maker who was interested as to why this was the case, so he decided to make some at home and examine what makes people so cautious about it.

Electron Impressions began by employing a proton-exchange membrane electrolyzer to convert water to pure oxygen. The device neatly splits the water molecules, allowing the hydrogen to escape into the air while the oxygen flows through a drying tube filled with calcium chloride to remove any remaining moisture, because moisture can significantly reduce the effects he was attempting to study.

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The next hurdle was to reach the point of liquefaction, which he accomplished using a Stirling cryocooler. This compact device uses the reverse Stirling cycle to attain temperatures as low as 60 Kelvin at the cold end. He placed a Dewar flask within a really nifty 3D printed double-walled PETG sleeve to ensure that the cooling was as efficient as possible. As the oxygen went through, the system was able to condense approximately 30 to 40 milliliters each hour, which isn’t a large amount, but enough to produce a very little but perceptible amount of pale blue liquid within the Dewar.

That obvious blue tint was a strong indication that something strange was going on, and it was due to the fact that liquid oxygen has a light sky blue color, which differs from the clear liquid nitrogen you may be more familiar with in cryogenics. To show it off, he poured some into a beaker. Then came the experiments, which demonstrated why liquid oxygen has such a nasty reputation.

When he dropped a burning piece of paper into a test tube of liquid, the flame erupted in a rapid and fierce blaze. When he lighted a piece of paper soaked in the liquid, it’s an understatement to say the results were even more remarkable, as it burned more hotter and faster than it would in air. He also bubbled hydrogen gas through a sample and ignited it just above the surface, producing explosive results. Liquid oxygen is essentially a powerful oxidant, converting a wide range of everyday materials into fuel that can burn at an alarming rate.

Aside from the fire and flash, the experiment discovered an interesting attribute of oxygen molecules: they contain unpaired electrons, which give them a magnetic attraction. It’s a property that gets lost in the mix when they’re floating around as gas at room temperature, but when they’re cooled down to a liquid form, the effect is much more noticeable.
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In 2025, AI crossed an important threshold. After years of experimentation, generative AI moved decisively into enterprise workflows, while agentic systems and long-term memory capabilities began to take shape in real-world deployments.

This marked significant progress for AI in the enterprise, yet the next milestones for the direction of AI remain far from settled. The past year exposed both the promise and the constraints of large-scale generative models, forcing organizations to confront trade-offs around accuracy, governance, and return on investment.