The unreasonably high proposal by Microsoft to acquire Activision Blizzard has led to a drawn-out and difficult period of discussions. Without going into too much detail, the short version of this is that Sony is attempting to block the purchase, while Xbox, of course, is urging regulators to approve it. The most recent assertions have been made public, and according to Microsoft, Sony’s first-party work is superior than its own.
The business argues that because Sony has more exclusive titles, it doesn’t have require games like Call of Duty to be successful. Microsoft claims that many of Sony’s first-party games are higher quality than its own creations, despite this. To put it another way, the company has admitted in writing that its own games fall short of those produced by Sony.
Apparently “equal in size to Activision and roughly double the size of Microsoft’s game publishing company,” the article continues by referring to Sony as “the dominating console provider” and a “strong games publisher.”
It is merely one of numerous refutations to Sony’s own account regarding the entire song and dance (which, by the way, makes allusions to the inevitable PS6). To try and secure this deal, Microsoft is at pains to show out that Sony will be OK without Call of Duty, framing itself as the underdog while making the aforementioned arguments. All of this is very taxing, don’t you think?
Now WhatsApp users can log into two accounts simultaneously
WhatsApp launched dual-account support today. You can switch between accounts in WhatsApp.
Mark Zuckerberg announced the feature on Facebook and said it would soon be available.
People used to need two phones for two WhatsApp accounts. The company now allows two accounts on one phone. App cloning lets users use multiple WhatsApp instances on Xiaomi and Oppo phones.
“Helpful for switching between accounts – such as your work and personal – now you no longer need to log out each time, carry two phones or worry about messaging from the wrong place,” the company wrote in a blog post.
Users can add accounts under Settings > Add Account. Your second SIM or multi-SIM phone is needed for setup. Account-specific notifications and privacy settings are available, the company said.
WhatsApp discouraged fake apps to prevent fraud.
WhatsApp added Android passkey support this week, enabling access without SMS-based two-factor authentication.
The First 3D-Printed Vegan Salmon Is In Stores
Revo Foods’ “THE FILET – Inspired By Salmon” salmon fillet may be the first 3D-printed food to hit store shelves. said that firm CEO Robin Simsa remarked, “With the milestone of industrial-scale 3D food printing, we are entering a creative food revolution, an era where food is being crafted exactly according to customer needs.”
Mycoprotein from filamentous fungi is used to make the salmon alternative and other meat substitutes. Vitamins and omega-3 fatty acids are in the product, like in animals. Is high in protein, at 9.5 grams per 100 grams, although less than conventional salmon.
Revo Foods and Mycorena developed 3D-printable mycoprotein. Years of research have led to laser-cooked cheesecakes and stacked lab-grown meats.
One reason for this push is because printed food alternatives may make food production more sustainable, which worries the fishing sector. Overfishing reduces fish populations in 34% of worldwide fish stocks.
Over 25% of worldwide greenhouse gas emissions come from food production, with 31% from livestock and fish farms and 18% from supply chain components including processing and shipping. According to Revo Foods’ website, vegan salmon fillet production consumes 77 to 86% less carbon dioxide and 95% less freshwater than conventional salmon harvesting and processing.
The salmon alternative’s sales potential is unknown. In order to succeed, Revo Foods believes that such goods must “recreate an authentic taste that appeals to the flexitarian market.”
The commercial distribution of 3D-printed food could change food production.
Open-source Microsoft Novel protein-generating AI EvoDiff
All diseases are based on proteins, natural molecules that perform vital cellular functions. Characterizing proteins can reveal disease mechanisms and ways to slow or reverse them, while creating proteins can lead to new drug classes.
The lab’s protein design process is computationally and human resource-intensive. It involves creating a protein structure that could perform a specific function in the body and then finding a protein sequence that could “fold” into that structure. To function, proteins must fold correctly into three-dimensional shapes.
Not everything has to be complicated.
Microsoft introduced EvoDiff, a general-purpose framework that generates “high-fidelity,” “diverse” proteins from protein sequences, this week. Unlike other protein-generating frameworks, EvoDiff doesn’t need target protein structure, eliminating the most laborious step.
Microsoft senior researcher Kevin Yang says EvoDiff, which is open source, could be used to create enzymes for new therapeutics, drug delivery, and industrial chemical reactions.
Yang, one of EvoDiff’s co-creators, told n an email interview that the platform will advance protein engineering beyond structure-function to sequence-first design. EvoDiff shows that ‘protein sequence is all you need’ to controllably design new proteins.
A 640-million-parameter model trained on data from all protein species and functional classes underpins EvoDiff. “Parameters” are the parts of an AI model learned from training data that define its skill at a problem, in this case protein generation. The model was trained using OpenFold sequence alignment data and UniRef50, a subset of UniProt, the UniProt consortium’s protein sequence and functional information database.
Modern image-generating models like Stable Diffusion and DALL-E 2 are diffusion models like EvoDiff. EvoDiff slowly subtracts noise from a protein made almost entirely of noise to move it closer to a protein sequence.
Beyond image generation, diffusion models are being used to design novel proteins like EvoDiff, create music, and synthesize speech.
“If there’s one thing to take away [from EvoDiff], I think it’s this idea that we can — and should — do protein generation over sequence because of the generality, scale, and modularity we can achieve,” Microsoft senior researcher Ava Amini, another co-contributor, said via email. “Our diffusion framework lets us do that and control how we design these proteins to meet functional goals.”
EvoDiff can create new proteins and fill protein design “gaps,” as Amini noted. A protein amino acid sequence that meets criteria can be generated by the model from a part that binds to another protein.
EvoDiff can synthesize “disordered proteins” that don’t fold into a three-dimensional structure because it designs proteins in “sequence space” rather than structure. Disordered proteins enhance or decrease protein activity in biology and disease, like normal proteins.
EvoDiff research isn’t peer-reviewed yet. Microsoft data scientist Sarah Alamdari says the framework needs “a lot more scaling work” before it can be used commercially.
“This is just a 640-million-parameter model, and we may see improved generation quality if we scale up to billions,” Alamdari emailed. WeAI emonstrated some coarse-grained strategies, but to achieve even finer control, we would want to condition EvoDiff on text, chemical information, or other ways to specify the desired function.”
Next, the EvoDiff team will test the model’s lab-generated proteins for viability. Those who are will start work on the next framework.
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