Blogging IBM Invest San Diego 
Xconomy
OCTOBER 16, 2017
Entrepreneur-turned-venture capitalist Vinod Khosla made big headlines almost six years ago when he wrote a blog post called “Do We Need Doctors or Algorithms?” Along the way, Khosla has invested in a range of startup companies—including several tackling radiology, cardiology, and mental health (see slide and list at bottom)—that are.
Xconomy
MARCH 26, 2018
Like a human, AI’s learning is only as good as the data it is fed,” said Manoj Saxena, former head of IBM Watson in Austin, TX, and a prominent investor in AI startups. Take, for example, facial recognition technologies that work best on white people and make the most errors on black people.
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Xconomy
DECEMBER 27, 2018
startup CognitiveScale and managing director of The Entrepreneur Fund , which makes investments in early-stage machine learning companies, Saxena believes A.I. [ Updated 12/27/18, 9:54 am ] Manoj Saxena is bullish on artificial intelligence. As chairman of Austin, TX-based A.I.
Xconomy
NOVEMBER 11, 2016
—IBM Watson Health and the Broad Institute have teamed up on a five-year, $50 million research project to study why tumors become resistant to cancer drugs. —Parsippany, NJ-based Medicines Co.
Xconomy
APRIL 12, 2018
We are bringing experts to the stage in everything from managing big data and fast growth, blockchain applications in the life sciences to early stage investing. This is an event you don’t want to miss, and it’s all happening on April 26 at the Illumina Theater at the Alexandria. Our program includes leading innovators, startup.
Xconomy
SEPTEMBER 29, 2016
The Partnership on AI , formally unveiled Wednesday, includes Amazon, Microsoft, Facebook, IBM, Google and its 2014 acquisition DeepMind. Each company is investing untold billions of dollars in developing AI technologies, betting on a future defined by computer systems that can perceive, reason, advise, and decide.
Both Sides of the Table
JULY 13, 2013
It was an IBM XT. It was the first ever IBM to ship with a hard drive. We had a finance group for all of the bank branches based in San Diego, and I wrote programs to download stuff from the mainframe so we could do analysis three days faster than they could send us the data. It had a 10 meg hard drive.
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